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REVIEW article

Front. Mol. Biosci., 21 July 2017
Sec. Nanobiotechnology

The Implications and Future Perspectives of Nanomedicine for Cancer Stem Cell Targeted Therapies

  • 1Stem Cell Research Laboratory, Department of Biotechnology, Delhi Technological University, New Delhi, India
  • 2Department of Chemistry, University of Delhi, New Delhi, India

Cancer stem cells (CSCs) are believed to exhibit distinctive self-renewal, proliferation, and differentiation capabilities, and thus play a significant role in various aspects of cancer. CSCs have significant impacts on the progression of tumors, drug resistance, recurrence and metastasis in different types of malignancies. Due to their primary role, most researchers have focused on developing anti-CSC therapeutic strategies, and tremendous efforts have been put to explore methods for selective eradication of these therapeutically resistant CSCs. In recent years, many reports have shown the use of CSCs-specific approaches such as ATP-binding cassette (ABC) transporters, blockade of self-renewal and survival of CSCs, CSCs surface markers targeted drugs delivery and eradication of the tumor microenvironment. Also, various therapeutic agents such as small molecule drugs, nucleic acids, and antibodies are said to destroy CSCs selectively. Targeted drug delivery holds the key to the success of most of the anti-CSCs based drugs/therapies. The convention CSCs-specific therapeutic agents, suffer from various problems. For instance, limited water solubility, small circulation time and inconsistent stability of conventional therapeutic agents have significantly limited their efficacy. Recent advancement in the drug delivery technology has demonstrated that specially designed nanocarrier-based drug delivery approaches (nanomedicine) can be useful in delivering sufficient amount of drug molecules even in the most interiors of CSCs niches and thus can overcome the limitations associated with the conventional free drug delivery methods. The nanomedicine has also been promising in designing effective therapeutic regime against pump-mediated drug resistance (ATP-driven) and reduces detrimental effects on normal stem cells. Here we focus on the biological processes regulating CSCs' drug resistance and various strategies developed so far to deal with them. We also review the various nanomedicine approaches developed so far to overcome these CSCs related issues and their future perspectives.

Introduction

Initial studies to define the characteristics of tumors revealed the presence of a rare population which not only have the self-renewing capacity and proliferate for long periods but could also transfer tumors on transplantation in experimental recipient models (Nowell, 1976; Quintana et al., 2010; Meacham and Morrison, 2013). These cells are termed as cancer stem cells (CSCs) or tumor supporting cells or tumor-propagating cells. Showing further experimentally supported the hypothesis through the transfer of tumorigenic properties of CD34+/CD38− human acute myeloid leukemia cells into severe combined immunodeficiency mice (SCID) (Bonnet and Dick, 1997). Since then CSCs are reported in many types of solid tumor (carcinoma) including brain (Singh et al., 2004), lung (Eramo et al., 2008), breast (Al-Hajj et al., 2003; Pece et al., 2010), colon (Diehn and Clarke, 2006; O'Brien et al., 2007; Ricci-Vitiani et al., 2007), liver (Yang et al., 2008), pancreatic cancers (Li et al., 2007) through similar xenotransplantation experiments in mice. Use of genetically engineered mice model to demonstrate stem cell activities by independent research groups (Skin, intestine, and brain tumors) has provided direct evidence in their support (Chen et al., 2012; Driessens et al., 2012; Schepers et al., 2012). Moreover, the ambiguities raised by some critiques about the presence of stem cell activities in tumor cell through direct evidence in natural settings is well resolved (Reya et al., 2001; Maenhaut et al., 2010; Chen et al., 2012; Schepers et al., 2012). Various studies provide substantial evidence of drug resistance, showing the crucial role of CSCs in both tumor progression and disease relapse (Dean et al., 2005; Eramo et al., 2006; Yu et al., 2007; Dylla et al., 2008; Diehn et al., 2009; Liu Y. P. et al., 2013). The evident central role of CSCs in tumor and their related treatments modalities compelled people to define characteristics for the identification which led to accumulating reports on CSCs phenotypic markers. For example high expression level of drug efflux transporter genes, enhanced activation of anti-apoptotic activities, significantly up-modulated DNA repair activities, slow rate of proliferation (often quiescent) capabilities to program the metabolic processes (Vinogradov and Wei, 2012). It is important to be noticed that current treatment for cancer treatments including chemotherapy/radiotherapy and tumor targeting agents may further enhance the CSCs population and can make it harder to be cured due to increasing spread and survival of them (Eramo et al., 2006; Ma et al., 2008). Thus, there are significant chances of tumor relapse after most tumor treatments with anticancer agents that can kill a bulk amount of tumor cells while drug-resistant CSCs remain unaffected and cause regression (Yu et al., 2012; Flemming, 2015; Li S. Y. et al., 2015). These reports indicate an extreme demand for the more clinical and preclinical studies to define the various characteristics of CSCs and how does CSCs respond to different therapeutic regimes. Present strategies to manage CSCs related cancer relapse imply different approaches such as targeting CSCs specific surface markers, ignition of ATP-binding cassette (ABC) transporters blocking, downregulating CSCs self-renewal and survival signaling pathways and diminishing the tumor microenvironment/niches (Beck and Blanpain, 2013; Chen et al., 2013). Since it plays crucial in cancer treatment, CSCs has been an attractive target for the development of most efficient anti-cancer therapies. During past several years increasing number of anti-cancer agents which kill CSCs have been reported, e.g., salinomycin (Gupta et al., 2009), curcumin (Li et al., 2014), thioridazine hydrochloride (Sachlos et al., 2012), sulforaphane (Li et al., 2010), miR-34a (Liu et al., 2011), and miR-130b (Ma et al., 2010). However, the typical rate limiting factors which remain associated with other anti-cancer drugs (e.g., small molecules, peptide-based drugs, and nucleic acid based drugs) are also present with them. For instance, off-target effects, poor water solubility, inconsistent stability, short circulation time, and inefficient distribution along with low therapeutic indexes are most commonly reported limitations (Chen, 2010). Recent advancements in nanomedicine technology have raised the hopes for the development of optimal cancer therapeutics. There are various types of nanocarriers such as liposomes, polymeric micelles, dendrimers, carbon nanotubes and metal nanoparticles, which can overcome the limitations as mentioned earlier (Davis et al., 2008; Rink et al., 2013). The nanoparticle-based drug delivery system own superior pharmacokinetic/pharmacodynamic qualities that make it an excellent method of choice for the cancer management. Nanoparticle offers higher carrier capacities for most of the drugs with improved pharmacokinetic and pharmacodynamic profiles (Sun T. et al., 2014). These properties are carefully controlled through their component type, size and surface characteristics which make them capable of having reduced harmful side-effects (Sun T. et al., 2014). There are few examples of clinically approved nanomedicines (nanocarbon based), e.g., liposomal doxorubicin (Doxil) (Barenholz, 2012), Albumin-bound paclitaxel (Abraxane) (Gordon et al., 2001) and PEG-1 Asparaginase (Oncaspar) (Gordon et al., 2004). There are few more novel and sophisticated nanoparticles with multiple functions which are being evaluated for their various characteristics and would be available in the near future as an advanced version of nanomedicines (Sun Q. et al., 2014). The successful treatment of cancer requires the development of approaches which can efficiently eradicate cancer and much-improved application of this new drug-delivery modality (nanomedicines) (Zhao et al., 2013). There are reports on the development of new regime by using these technological advancements to track the challenges posed by CSCs in the treatment of cancer. For example, a significant reduction in the growth of anchorage-dependent clonogenic growth of CD133+ CSCs in glioblastoma cell-based studies by using Nano-CurcTM (Sign Path Pharmaceuticals, Inc., Pennsylvania, USA; 1.5% curcumin content) (Lim et al., 2011). Recently, Sun et al., demonstrated enhanced anti-cancer activities of doxorubicin and all-trans-retinoic acid through a polymer co-delivery system in human breast cancer mice models (Sun et al., 2015).

Thus, it seems that Nanotechnology-based approaches are going to be the primary tool for developing most effective anti-cancer therapies and an increasing number of CSCs-targeting nanomedicines are being developed and even being evaluated through preclinical studies. For the introduction of these nanomedicines into clinical practice, a large number of detailed experimental and other relevant information is essential and present article focuses on the CSCs related biological processes. The objective of this review is to discuss different nanomedicines targeted toward CSCs and also the limitations associated with their clinical uses. The first section deals with the comprehensive details about the CSCs biology and various therapeutic approaches to tackle them. Whereas, the second part of the article provides a detailed understanding of the different types of Nanocarriers along with their combination of different CSCs management approach.

CSCs and Various Therapeutic Approaches

In the1800s, embryonal rest theory stated the possible relationship between the origin of cancer and stem cells (Sell, 2009). Around 50 years ago various studies started on germinal cell cancer (teratocarcinoma)showing the generation of cancer cells from stem cells, and it proposed a concept that tumors contain different types of stem cells (Sell, 2009). Studies on liver cancer which shown the origin of liver cancer from dedifferentiated mature hepatocytes further strengthen this concept (Sell, 2009). Since then, our understanding of cancer etiology has significantly improved through modern genomic, proteomic, and functional analytical technologies (Hanahan and Weinberg, 2011). Burgeoning information through various cancer studies about the heterogeneity and molecular mechanisms regulating various components of cancer cells has firmly established the existence of cancer stem (-like) cells (CSCs) or Tumor-initiating cells (TICs) (Nguyen et al., 2012). A unique fraction of cells that have self-renewal, differentiation capabilities are further defined by using many specific cell surface markers and various intracellular dyes (e.g., Hoechst, 33342, PKH26) (Oates et al., 2009; Pece et al., 2010). It is a common assumption that CSCs can differentiate into various derivatives that comprise the significant share of tumor tissue. The genesis of CSCs in the solid tumor is not very well understood. It is shown that CSCs may arise from a series of naturally occurring stem cells or some differentiated cell also (Bjerkvig et al., 2005; Bu and Cao, 2012). Reports are indicating crucial role played by epithelial-mesenchymal transition (EMT) programs in generating CSCs in many types of malignancies (Mani et al., 2008; Gupta et al., 2009). The EMT (and reverse process Mesenchymal-Epithelial Transition or MET) play a central role in normal embryogenesis and often gets activated during cancer invasion and metastasis (Hay, 1995; Perez-Pomares and Munoz-Chapuli, 2002). Many transcription factors which have pleiotropic activity have been demonstrated to play a central role in embryogenesis by orchestrating EMTs as reported by several developmental genetic research studies (Briegel, 2006). Further advancements occurred in defining malignant traits, e.g., motility, invasiveness, and resistance to apoptosis in neoplastic cells (Comijn et al., 2001; Oft et al., 2002; Yang et al., 2004; Huber et al., 2005; Savagner et al., 2005; Hartwell et al., 2006; Cheng et al., 2007; Mani et al., 2007; Peinado et al., 2007). Few of these transcription factors might play important roles in wound healing (Savagner et al., 2005). Due to their similarities with normal stem cells, CSCs are believed to be the primary dragging force for tumorigenesis (Medema, 2013). The conventional anticancer treatment like radiotherapy and chemotherapy actually may enrich the CSCs due to their natural longer lifespan and resistance toward the conventional treatment modalities (Dean et al., 2005; Bao et al., 2006a; Woodward et al., 2007). CSCs enrichment has been associated with the ability of tumors to proliferate and disseminate to remote lesions which result in the development of metastasis and also may cause their relapse after initial therapeutic success as reported by studies (Li Y. et al., 2015). Collectively, these characteristics of CSCs make the tumor more resistant toward most of the treatment modalities and a major reason of cancer-related death (Figure 1). It is evident that extensive efforts have been made to develop anti-CSCs therapeutic modalities that can efficiently eradicate CSCs and reduce the risks of metastasis and relapse (Chen et al., 2013). In this direction inhibition of ABC transporters has been very attractive. The ABC transporters notable on the CSC surface and inhibition of these receptors make CSCs more sensitive to the other therapeutic agents and thus improve overall efficiency (Yang et al., 2014). Similarly, surface markers and blockade of signaling pathways could be an effective anti-CSCs therapy (Table 1). Another important strategy may be the demolition or alteration of CSCs microenvironment or niche. Few novel anti-CSCs strategies are also surfacing such as induction of autophagy in CSCs and modulation of abnormal metabolism of CSCs (Figure 2).

FIGURE 1
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Figure 1. Illustration of various anti-CSCs modalities to cure different types of cancers. There have been accumulating study and clinical report about the various mechanism for targeting CSCs and other cancer cells as indicated above. Various research/clinicians have also demonstrated different molecules or strategies with variable efficiencies.

TABLE 1
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Table 1. Various cell surface marker used for identification and eradication of CSCs.

FIGURE 2
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Figure 2. Various roles of CSCs in tumor progression. There are different types of roles which CSCs might play in tumor progression and cause them to become resistant to the most of the conventional therapeutic modalities. Tumor progression: The inherent properties of CSCs to self-renew, proliferate, and differentiation makes them eligible to support tumor progression. Drug resistance: the abilities of CSCs to survive against various cytotoxic insults including chemotherapy/radiotherapy through different mechanism may cause the accumulation of them resulting in enrichment of CSCs within tumors making it harder to cure cancers. Metastasis onset: Acquisition of mesenchymal cell-like features by CSCs it impossible that tumor cell starts migrating to the local and distant locations causing the onset of metastases. Relapse: the remaining CSCs that may survive the anti-tumor treatment remedy can increase their population by proliferating and may result to the relapse after an initial therapeutic success.

Strategies for Energy-Dependent Efflux Mechanism to Target CSCs

CSCs are believed to occur in tumor tissues, and similar to healthy stem cells CSCs also have a high expression level of ABC transporters (Dean et al., 2005). This ABC transporter expression is correlated with multidrug resistance in CSCs. The ABC transporters are supposed to reduce cellular accumulation of various types of therapeutic agents, and thus CSCs become relatively more resistant to even higher doses of anti-cancer agents (Gottesman et al., 2002). Stem cells are often defined by their ability to get stained very lightly by Hoechst 33342 due to overexpression of a drug efflux protein called BCRP (breast cancer resistance protein) (or ABCG2) which actively pumps out the dye molecules. Therefore, Hoechst 33342 dye efflux method is a common method of choice for the isolation/identification of stem cells as side-population' and tumor cell identification (Goodell et al., 1996; Hirschmann-Jax et al., 2004; Ho et al., 2007; Britton et al., 2012). These findings prompted researchers to develop the inhibitory strategies for the ABCG2 pump, and many such molecules have been evaluated including Fumitremorgin C (Rabindran et al., 2000). Moreover, Tryprostatin (Woehlecke et al., 2003) that are shown to be effective in sensitizing and killing CSCs. There are other molecules which have been associated with drug resistance in CSC, e.g., P-glycoprotein (or ABCB1) and ABCB5 (Nobili et al., 2006; Angelastro and Lame, 2010). PGP is reported as a primary reason for therapy failures in leukemia and solid tumors patients. Similar reports are available ABCB5 which is associated with MDR resistance in human malignant melanomas patients (Frank et al., 2003). It is necessary to notice that blockade of ABCB5 efflux activity by the Monoclonal antibody can sensitize these cells against anti-cancer drug doxorubicin (Frank et al., 2005). These studies indicate the importance of transporters in MDR and targeting these efflux pumps could be an efficient method to control MDR in cancer treatments. Despite the knowledge of MDR for over 30 years, the clinical success in regulating this phenomenon has been insufficient. There have been various strategies proposed and evaluated to overcome MDR such as direct or indirect inhibition of ABC transporters. For example, direct inhibition strategies demonstrated the development of small molecular weight inhibitors or mABs, e.g., Cyclosporine A, VX710, Tariquidar, and indirect inhibition strategies evolved various methods for disrupting cell signaling pathways to inhibit ABC transporter activities (Gottesman et al., 2002). However, all these strategies have been suffering from low inhibition efficiency and unwanted toxic effect which has significantly compromised their clinical use. Therefore, it is evident from existing data that with the presently limited effects all these approached may not be able to overcome the CSC dependent drug resistance and more broad spectrum strategies such as nanocarriers would be important in developing optimal anti-CSCs strategies to explicitly control drug resistance and improve the therapeutic efficacy of any anti-cancer regime.

Blockade of CSCs-Related Signaling Pathways

CSCs retain their hallmark stem cell-like properties (i.e., self-renewal and differentiation) through the modified or deregulated signaling pathways networks. Studies from several groups have revealed a significant role of Wnt/β-catenin (Takahashi-Yanaga and Kahn, 2010), Hedgehog (Merchant and Matsui, 2010), Notch (Pannuti et al., 2010), Bcl-2, PI3K/Akt, PTEN and NF-κB, in CSCs' self-renewal and differentiation. Moreover, detailed information of these molecules and their related signaling cascade would be essential to develop any effective strategies against CSCs mediated drug resistance or anti-cancer therapy (Chen et al., 2013). Studies have shown significant role of embryonic signaling pathways, e.g., Wnt, Notch, and Hedgehog in maintaining the CSCs population in multiple melanomas (Campbell et al., 2008; Takebe et al., 2011). These raised the possibilities of the development of effective strategies to control drug resistance, and several clinical trials are in progress targeting the Pathways (Zhao et al., 2013). For example, blockade of Notch-I signaling pathway has been demonstrated to reduce the fraction of CD44+CD24 subpopulation and also decreased the instance of brain metastasis of brain cancer (McGowan et al., 2011). Similarly, many pharmaceuticals are being explored, e.g., Wnt signaling inhibitors which are responsible for regulation of CSCs and tumorigenicity, and one such example is the use of mAbs against Wnt signaling cascade is demonstrated to be of significant value in the treatment of colorectal cancer (He et al., 2005). Many independent reports are available on the use of cyclopamine (an SMO signaling element inhibitor) to block the Hedgehog-mediated signaling pathway resulting in inhibition of growth/proliferation, invasion, and metastasis of many malignancies an evident from both the in vitro and in vivo studies (Karhadkar et al., 2004; Feldmann et al., 2008).

Apoptosis dysregulation is more often defined as a hallmark of carcinogenesis and remains an important determinant of the efficacy of chemotherapeutics to establish malignancy (Brown and Attardi, 2005; Hanahan and Weinberg, 2011). CSCs are reported to use several mechanisms to dysregulate signaling pathways and enhance resistance against most of the chemotherapeutic regimes. BCl-2 family of anti-apoptotic proteins is the most studied and characterized regulators of apoptosis. It would be interesting to notice that BCL-2 (an anti-apoptotic protein) is very well known to regulate repopulation potential and provides protection against apoptotic insults in hematopoietic stem cells (Domen et al., 2000). BCL-2 expression is reported to be significantly high in comparison to healthy cells as demonstrated in an in vitro model of blast-crisis CML-derived CSCs and their non-CSCs counterparts (Goff et al., 2013). Whereas, the frequency of breast CSCs is highly reduced by expression of a strongly active pro-apoptotic BIK mutant both in cell lines and patient studies (Lang et al., 2011).

Recently, the relationship between CSCs and nuclear factor kappa B (NF-κB) has been elucidated by several researchers. NF-κB is a transcription factor, and it regulates the expression of numerous genes and mediates various cellular responses such as cytokines, radicals and UV irradiation induced pathways (Baud and Karin, 2009). The constitutive activation of STAT-3/NF-κB signaling cascade and enhanced expression of TAT-3/NF-κB dependent gene has been demonstrated in glioma CSCs (Garner et al., 2013). In similar stream, use of curcumin based approach has been shown to reduce stem cell properties in breast CSCs through modulation of TAT-3/ NF-κB signaling cascade (Chung and Vadgama, 2015).

Additionally, secreted protein, e.g., cytokines have also had a significant impact on CSCs survival, and some studies have shown that strategies against these secretory proteins may also be of importance in counseling resistance and sensitize the CSCs against chemotherapeutics. This is evident from the reports showing significant sensitization of colorectal CSCs in the treatment of freshly isolated CD133+ cells with anti-IL-4Ra antagonist or anti IL-4 neutralizing antibodies against standard chemotherapeutic drugs (Todaro et al., 2007). Similarly, inhibition of CXCR1 through small molecular inhibitor has been demonstrated to diminish residual breast CSCs population following docetaxel treatment in vivo (Ginestier et al., 2010). THE IL-8 receptor CXCR1 is strongly expressed in breast cancer CSCs (Ginestier et al., 2010).

Regulation through Tumor Microenvironment/Niche Targeting

Studies on the tumor microenvironment have revealed their similarity with stem cells and CSCs niche can be defined as an anatomically distinct region which consists of various types of cells, e.g., mesenchymal cells vascular cells and inflammatory cells along with diffusible molecules and extracellular matrix proteins (Plaks et al., 2015). These niches maintain the CSCs' stem cell properties. These niches preserve the various characteristic of CSCs, e.g., phenotype, plasticity, and also protect them against drug-induced apoptosis and facilitate their metastatic potential (Oskarsson et al., 2014; Ye et al., 2014). Thus, targeting CSC niche could be a powerful tool in controlling the tumor progression and their treatment. There have been few promising attempts to target CSCs niche. It is reported that tumor angiogenesis may have a direct relationship with the survival and drug resistance of CSCs. Further, CSC in the vascular niche can comprise an autocrine loop that involves VEGF-mediated promotion of CSCs activities which are regulated through the formation of microvasculature and intrinsic self-renewal pathways (Bao et al., 2006b; Beck et al., 2011). Thus, inhibition of VEGF activities can normalize tumor vasculature, and that can result in the disruption of CSCs microenvironment/niche causing reduced tumor growth (Vermeulen et al., 2010). Another useful modality to disrupt CSC niche may be targeting tumor hypoxia. For instance, HIF-1α and HIF-2α (regulators of the cell cycle through c-Myc) may be targeted to control the growth of quiescent, drug-resistant tumor cells in glioma patients (Li Z. et al., 2009). An alternative approach may be targeting against tumor-associated stromal cells (e.g., myofibroblast and tumor-associated macrophage) that play a significant role in homeostasis regulation in various tumors, and their inhibition may diminish CSCs growth also (Raaijmakers et al., 2010; Vermeulen et al., 2010).

Targeting against Cell Surface Markers

Cell surface marker holds the key for generating specific strategies against CSCs, and thus considerable efforts have been put in the development of more precise therapeutic regimes in various types of tumors. For example, use of an activating anti CD44 mAbs in a NOD/SCID-human AML transplant mice model shown a significant reduction in the leukemic cell population (Jin et al., 2006). Specific eradication of leukemic stem cells in human have been demonstrated by targeting other surface molecules also which are differentially expressed in normal and CSCs such as IL-3R (Jin et al., 2009) and TIM-3 (Kikushige et al., 2010). Similar reports are available from mice studies where treatment with antibodies against IL-3R and TIM-3 has managed to diminish leukemia cells. The self-renewal of tumor cells and the tumor-initiating ability of the dormant CSCs were significantly suppressed by targeting CD13 with the treatment of anti-CD13 which is a specific liver CSCs marker (Haraguchi et al., 2010). The significant anti-cancer therapeutic potential is revealed by studies in which CD133 was targeted in lung cancer (Bertolini et al., 2009), liver cancer (Rountree et al., 2009), and glioblastoma (Brescia et al., 2013). Similar reports are available on the inhibition of self-renewal and tumorigenic capacity of neurosphere cells through down-regulation of CD133 gene excretion by short hairpin RNA (shRNA-mediated method; Brescia et al., 2013).

Various Other Approaches

Targeting Autophagy Signaling Pathway in CSCs

Autophagy may be defined as an evolutionarily conserved mechanism through which cells responds to the different types of environmental stress such as starving, exposure to radiation, hypoxia, and chemotherapeutic agents (Choi et al., 2013). Inhibition of autophagy has been demonstrated to enhance the sensitization of cancer cells (Yousefi and Simon, 2009; Sui et al., 2013). However, similar effects on CSCs are not very much clear and remain controversial. Recent studies have shown that inhibition of autophagy through knock-down of autophagy-associated genes or direct autophagy inhibitors may lead to reduced stem cell self-renewal, differentiation, and ability to resist various types of stresses which may result in reduced CSCs population and enhanced sensitivity (Cufi et al., 2011; Zhuang et al., 2011; Maycotte et al., 2015). The combination of autophagy inhibition strategies along with standard anti-cancer therapeutic agent may be more efficient in eradicating CSCs completely and curing cancers (Zhou et al., 2007; Hirsch et al., 2009; Balic et al., 2014).

Regulation of CSCs' Metabolism

Cancer cells are defined as having deregulated proliferation due to uncontrolled metabolic activities (Ward and Thompson, 2012). CSCs are also reported to exhibit distinctive metabolic characteristics (Menendez et al., 2013). For example, tumor cells (especially brain tumor cells) express high levels of Glucose Transporter 3 (GLUT3). Moreover, it is known down through shRNA can lead to significant drop in the frequency of brain tumor stem cells (in vitro) and glioblastoma formation (in vivo) (Flavahan et al., 2013). Furthermore, basal-like breast CSCs are reported to have distinct glucose, and mevalonate metabolism and metabolic drug metformin have been shown to exhibit anti-CSCs properties and also can improve the efficacy of chemotherapeutics (Ginestier et al., 2012; Hirsch et al., 2013; Wurth et al., 2013).

Nanomedicine as An Effective Tool against CSCs

The biodegradable and biocompatible nano molecules or nanocarriers have been reported to deliver a broad range of therapeutic molecules (Peer et al., 2007). This accumulating list of therapeutic molecules includes hydrophobic/hydrophilic drugs (Lei et al., 2013; Li et al., 2014; Zhu et al., 2014), various types of peptides and proteins (Grenha et al., 2005), imaging probes (Park et al., 2009), antibodies (McCarron et al., 2008), nucleic acids (Tan et al., 2014), and even multiple drugs simultaneously (Patil et al., 2010). Nanocarriers offer a number of benefits to the active drug molecules by protecting it from harsh biological conditions and thus enhance their pharmacokinetic and pharmacodynamic profiles significantly (Hamaguchi et al., 2005; Yuan et al., 2012). For example, PEGylated nanocarriers (can evade reticuloendothelial system) are reported to have prolonged circulation time and significantly less accumulation in the healthy tissues in comparison to non-PEGylated nanoparticles (Jokerst et al., 2011). Similarly, stimuli-responsive nanocarriers are developed with the capacity to respond to the various external stimuli such as pH, temperature and light and thus provide a control over the release of drugs/therapeutic molecules to the target sites only (Soppimath et al., 2005; Li Y. Y. et al., 2009; Du et al., 2011; Gao et al., 2011; Lee et al., 2011; Li et al., 2011). The nanoscale size of these carrier molecules provides them capabilities to get accumulated in the tumors because of enhanced permeability and retention (EPR) effect. Further, nanoparticles equipped with specific targeting moieties, e.g., folate antibodies and aptamers, etc. can become more precise in delivering their cargo. There have been sufficient advancements in describing various drugs, protein, and gene delivery using nanoparticles to target CSCs (Tables 25) through conventional therapeutics by using different resistance mechanism as discussed above. Nanomedicine, as discussed below, offers various advantages over the conventional therapies, and the importance of nanomedicine.

TABLE 2
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Table 2. CSC specific small therapeutic agents and their delivery.

Bioavailability of CSCs Specific Drugs

Despite the fact that significant advancements in the knowledge about CSCs various problem exist in tackling CSCs due to limitations associated with different anti-CSCs agents which suffer from problems of solubility, degradation, early clearance, limited cellular uptake, and cytotoxicity (Minko, 2004; Sahay et al., 2010).

Here, nanoparticles offer high-capacity carrier capabilities for chemotherapeutic/nucleic acid drug molecules and exhibit greater bioavailability and activity. The largest porosity of the vasculature and impaired lymphatic drainage system in tumors facilitates the passive accumulation of nanoparticles and thus drugs molecules which are attached to them (Gao et al., 2012). Alternatively, nanoparticles may be connected with high-affinity molecules against specific receptors which are exclusively expressed on the tumor cells or CSCs and thus may enhance delivery specifically to these sites (Xia, 2014). Most studies report that conventional therapeutic agents have limited access to the CSCs due to their hypoxic microenvironment and distant location away from the vasculature that retards the efficacy of anti-CSCs drugs (Mohyeldin et al., 2010). However, rationally designed nanoparticles may overcome this limitation and may penetrate up to a deeper location and kill CSCs through anti-CSCs drugs molecules.

Drug Resistance of CSCs vs. Nanoparticles

Rationally designed nanoparticles have been reported to be effective against the MDR predominantly ATP-driven transporters which remain an axial factor in most of the MDR and the intractable obstacle of CSCs (Markman et al., 2013). Studies reported so far on the use of chemotherapeutic agents, which are either conjugated to nanoparticles or encapsulated by nanoparticles, are not recognized as a solid substrate by ABC transporters system and the can stay for longer periods. Additional advantages are provided through cell penetrating peptide- or targeting moiety-modified nanoparticles which provide protection against receptor-mediated and energy drove endocytosis or macropinocytosis that significantly increase intracellular accumulation of drugs (Livney and Assaraf, 2013). Thus, specifically designed nanoparticles may greatly enhance intracellular accumulation/concentration of CSCs targeting agents that would improve their cytotoxic effects.

Reduced Off-Target Effects

The field of identification of new CSC marker (biomarkers) and signaling pathways facilitated by genome-wide screening methodologies are tremendously grown up in recent years. Unfortunately, most of the biomarkers are also shared by normal stem/progenitor cells, and drug targeted to these biomarkers may also lead to acute and irreversible damage to the normal tissues causing organ failure, etc. (Hu and Fu, 2012). More comprehensive strategies would be essential to avoid these shortcomings of the existing approaches. For designing specific therapeutic agents, it would be essential to delineate among the CSCs and other healthy stem cells so that only CSCs are killed while other normal stem cells remain unaffected. Also, the newer developed strategies should have the potential to realize differential delivery of CSCs-killing drugs. Since tumors have an impaired vasculature/lymphatic drainage system, the drug-loaded nanoparticles are accumulated in a comparatively higher concentration of tumor cells that prevent damage to the normal stem cells to a limited extent. Whereas, free chemical or biomolecules are distributed equally among tumor and healthy stem cells that may damage to the normal stem cells causing unwanted organ failure or other adverse symptoms (Davis et al., 2008).

Nanomedicines: Few Examples

Burgeoning knowledge of CSCs biology and recent developments in the nanotechnologies has fed the development of a vast array of anti-CSCs targeting systems. Here, is the summary of nanomedicines reported so far and which have been categorized on the basis of their introduction and evaluation in for desired effects, type of cargo and modifications of the nanoparticles (Figure 3).

FIGURE 3
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Figure 3. Illustration of various types of nanoparticles being explored for their efficiency to carry desired anti-CSCs/anti-cancer drug molecules. These nanocarriers are often equipped with targeting moieties, e.g., antibodies, antigen, etc. the different types of nanoparticles are developed from many types of biomaterial, e.g., lipids, metals, carbon, polymeric substances, etc. Acknowledgment: The various nanoparticles SEM/TEM figures are taken from the previously published work with prior permission/OR accessible under open access. Carbon Nanotubes: Eatemadi et al. (2014) (Open Access). Dendrimers: Abd-El-Aziz et al. (2016) (Permission granted by author). Liposomal: Lim et al. (2013) (Permission granted by author). Hybrid solid-liquid particles: Patel et al. (2016) (Open access). Polymeric particles: Halayqa and Domańska (2014) (Open Access). Metal nanoparticles: Raj and Jayalakshmy (2015).

Nanotechnology May Improve CSCs Specific Therapeutic Agents' Delivery

CSCs specific therapeutic agents' physiological and physicochemical characteristics can be analyzed similarly to the traditional anti-cancer drugs in vivo. It is well established that nanocarriers might be a useful tool in qualifying therapeutic agents (Table 2).

The antibiotic salinomycin (SAL) could be a good example which has been identified through high-throughput screening methods as a potent anti-CSCs agent (Gupta et al., 2009) but exhibit poor water solubility and high toxicity, which makes it unsuitable for clinical uses. Nanocarrier offers a solution to this problem, for example, SAL-SWNTCHI-HA (a gastric anti-CSCs targeted drug delivery system) has been demonstrated to acquire high bioavailability and limited toxicity of SAL. This combination was shown to downregulate self-renewal capability of the CD44+ cell population and also reduced the formation of mammosphere by CSCs (Yao et al., 2014). Another great example could be Curcumin which has high anti-cancerous potential, but due to hydrophobicity, poor stability, and pharmacokinetic characteristics in vivo applications are limited.

Nanotechnology offers better utilization of these therapeutic molecules as the development of curcumin nanoparticle encapsulated in polymeric micelles could show increased accumulation of curcumin in cancer cells resulting in effective eradication of CSCs (CD44+CD24− subpopulation) both in vitro and in vivo studies in colorectal cancer studies (Wang K. et al., 2012; Li and Zhang, 2014). Similarly, nanoparticles carrying embryonic signaling inhibitory agents in CSCs have also been reported but with limited clinical utility due to their poor solubility and diverse side effects. For example, N-(2-hydroxypropyl) meth acrylamide (HPMA) conjugate of cyclopamine (a Hedgehog pathway inhibitor) has been reported showing potential to eradicate CD133+ cells in the human prosthetic cancer epithelial cell line (RC-92a/hTERT) and exhibit relatively decreased systemic cytotoxicity (Zhou et al., 2012).

Similarly, nanocarriers can improve the efficacy of conventional chemotherapeutic agents by delivering them to CSCs in a more efficient manner and may enhance their anti-cancer activities. For instance, tethering of Doxorubicin with the gold nanoparticles via a poly (ethylene glycol) spacer and an acid-labile hydrazone bond (DOX-Hyd@AuNPs) enhanced delivery of the drug molecules to breast CSCs and reduced drug resistance in these cells through the inhibition of their efflux by PGP. DOX-Hyd@AuNPs exhibited inhibition of CSCs enrichment and tumor growth during or after the treatment (Sun T. M. et al., 2014). Another excellent example is shown use of stearic acid-g-chitosan oligosaccharide (CSO-SA) polymeric micelles to deliver oxaliplatin exhibiting significantly enhanced internalization of OXA-loaded CSO-SA micelles in colorectal CSCs causing reversal in chemoresistance abilities of CD133+/CD24+ CSC subpopulations and enhanced cytotoxicity both in vivo and in vitro studies (Wang et al., 2011).

Nucleic Acids Dependent Anti-CSCs Drugs and Nanomedicines

Nanocarriers are helpful in increasing the solubility, stability, and bioavailability of various macromolecular drug agents (Kalota et al., 2004). One of the important nucleic acid family playing crucial roles in post-transcriptional regulations is small RNA molecules, e.g., micro RNA (miRNA) that regulates various cellular functions. miRNA have recently been evaluated for their abilities to provide a prognostic marker for CSCs and anti-cancer agent in different tumors (Ma et al., 2010; Liu et al., 2011). RNA interference (RNAi) possessing capabilities of specifically regulating targeted gene offer potential treatments for a broad range of diseases including cancers (Pai et al., 2006). Specifically designed RNAi to suppress the cancer-promoting key molecules may be an important method for their treatment. For instance, suppression of OCT-4 gene through RNAi technique could result in the induction of apoptosis in CSCs breast cancer and lung carcinoma cells (Hu et al., 2008). However, poor cellular intake, off-target activity, sensitivity to nucleases, and risks of systemic toxicity may limit their therapeutic potential (Muthiah et al., 2013). Similar to other anti-cancer drugs nucleic acids related therapeutic agents require the development of strategies for their protection from nuclease-driven degradation and enhancement of tissue-specific penetration and accumulation causing improved anti-cancer activity (Wu et al., 2011).

A significant reduction in the tumorigenicity of CD133+ improved differentiation of them into healthy cells (CD133- non-CSCs) on using polyurethane-short branch polyethyleneimine (PU-PEI) as a nanocarrier for delivering miRNA-145 into glioblastoma cells. The delivery of PU-PEI/miR-145 nanoparticles in these studies effectively blocked the expression of drug-resistance associated genes and thus improved the sensitivity of drug-resistant CSCs against other anti-cancer agents (Yang et al., 2012). Similar studies reported using cationic lipid nanoparticles for the delivery of pre-miRNA-107 (regulator of proliferation and survival related genes) as an effective tumor suppressing agents in model head and neck squamous cell carcinoma (HNSCC) showing decrease tumor sphere-forming capabilities through the down-regulation of stem cell transcription factors (Piao et al., 2012). Delivery of miRNA-34a through solid lipid nanoparticles was also demonstrated to downregulate differentiation and metastasis of CSC by direct repression of CSCs marker CD44 in lung cancer cells (Shi et al., 2013). Similar studies with siRNA indicated enormous therapeutic potential but limited due to several obstacles that can be overcome by using nanoparticles based delivery systems (Williford et al., 2014). In an orthotopic lung cancer mouse model, the cationic lipid nanoparticles carrying shAnxA2 (CLG-shAnxA2) showed a significant reduction in drug resistance phenomenon of CSC through suppression of AnxA2 (Andey et al., 2014). An effective anti-cancer strategy could be directed targeting GLUT3 by siRNA-based nanomedicines which block self-renewal and bulk glioma cells in glucose-restricted tumor niche. Further, these GLUT3 blocking nanoparticles could also diminish tumor growth in a U87MG xenograft model (Xu et al., 2015).

In addition to these strategies, another unusual approach is silencing the genes regulating drug efflux transporters and thereby increasing the drug sensitivity of CSCs against anti-cancer agents. For example, employing MDR-1 silencing siRNA-based PEI-Lipid cross-linked (1:16 ratio) nanocarriers shown increased sensitivity of CD133+ human colon cancer cells to the paclitaxel (Liu et al., 2009; Table 3).

TABLE 3
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Table 3. CSCs-specific nucleic acid drugs and their implications.

Anti-CSCs Specific Other Combinational Delivery Approaches

Since tumors consist of heterogeneous tissue and various types of cells have a difference in their abilities to respond to these anti-cancer agents. Further, CSCs are capable of showing the reversible transition between stem cell and non-stem cell state (Meacham and Morrison, 2013) which increase the complexity of determining the most suitable anti-CSC strategies. Ther are a clear indication of the fact that eradication of CSCs only may not be sufficient to suppress tumor progression entirely. Residual differentiated tumor cells can be converted into CSCs and may sustain tumor growth even after the complete eradication of CSCs (Bu and Cao, 2012). Thus, a combined approach which can tackle both bulk non-CSCS and reminiscent rare CSCs would be of more importance providing better therapeutic effects (Table 4).

TABLE 4
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Table 4. Various strategies of combinational delivery of chemotherapeutics and CSC-specific agents.

One notable example of this approach could be the demonstrated by using a combination of paclitaxel [(octreotide (Oct)-modified paclitaxel (PTX)-loaded PEG-b-PCL polymeric micelles (Oct-M-PTX)] and salinomycin [(SAL)-loaded PEG-b-PCL polymeric micelles (M-SAL)] based nanomedicine molecules. The combined effects of paclitaxel (against bulk cancer cells) and salinomycin (anti-CSCs effect) boosted the anti-cancer implications of these drugs in vivo and in vitro (Zhang Y. et al., 2012). The study of combined effects of HPMA copolymer-cyclopamine conjugate (P-CYP) (anti-CSCs effects), and HPMA copolymer-cyclopamine conjugate (P-CYP) (effective against bulk tumor cells) showed significant enhancement in their tumor growth inhibiting activities (Zhou et al., 2013). Similar intense anti-CSCs activity and anti-bulk tumor cells capability demonstrated by the combined use of other therapeutic molecules. For instance, doxorubicin (DOX) [via acid-functionalised poly(carbonate) (PAC) and poly(ethylene glycol) diblock copolymer (PEG-PAC)] and thioridazine (THZ) [via urea-functionalised poly(carbonate) (PUC) and PEG diblock copolymer (PEG-PUC)] in BT-474 xenografts studies shown stronger effects (Ke et al., 2014). Nanoparticles can function as a carrier for simultaneous delivery of multiple anticancer agents to exhibit better anti-cancer efficacy. For example, simultaneous encapsulation of all-trans retinoic acid (ATRA) (differentiation inducer of CSCs) and Dox and their systemic delivery for breast cancer treatment have been demonstrated to significantly downregulate both the CSCs resistance and tumor growth (Sun et al., 2015). Similar to conventional anti-tumor agents, the nucleic acid drugs are also reported to be co-delivered through nanocarriers based delivery system (e.g., miR-200c, effective anti-CSCs, and docetaxel) with spectacular effects on CSCs proliferation and decrease the migration/invasion and expression of cadherin/CD44 surface adhesion molecules (Shimono et al., 2009). Further, the systemic administration of miR-200c/DOC combined nano-medicine resulted in prolonged retention and more efficient anti-tumor activities in xenograft gastric cancer mice models (Liu Q. et al., 2013). In another approach, the chemotherapeutic agent loaded nanoparticles combined with anti-ABC transporter antibodies and employed on CD130-CD34-CSCs in multiple myelomas showed the enhanced efficiency of PTX and reduced CSCs proliferation and migration (Yang et al., 2014).

Targeted Therapies of Anti-CSCs Drugs

Anticancer antibodies are useful in inducing tumor regression through their anti-CSCs potency as shown in clinical reports (Vinogradov and Wei, 2012). Apart from that, antibodies are helpful in directing the therapeutic agents to the CSCs, e.g., antibody-drug conjugates antibodies conjugated nanoparticles which can recognize various specific cell surface antigens on CSCs. This approach was used by few researchers to conjugate anti-CD133mANs with the polymeric PLGA nanoparticles bearing paclitaxel drug molecules (CD133BNPs), and these conjugated particles were demonstrated to have significant reducing effects on the number of mammospheres and colonies formation through in vitro assays. Comparison of CD133NPs with free drug molecules and non-antibody conjugated nanoparticles in MDA-MB-231 xenograft mice model has shown a significantly higher adverse effect on the CSCS population and improved therapeutic efficacy (Swaminathan et al., 2013). Similarly, the extracellular glycosaminoglycan matrix protein Hyaluronic acid recognizes CD44 which is overexpressed in most of the CSCs (Wei et al., 2013). This specific binding capability of HA is useful in developing CD44-targeted HA-based self-assembling nanosystems for siRNA delivery. This nanoparticle was reported acquiring higher delivery rate and more efficient gene silencing activities in CD44+ (overexpressing) drug resistant tumor cells (Ganesh et al., 2013). Similar molecule chitosan (chemically resembles HA) was useful for targeted delivery of nano doxorubicin or nDox (Dox molecules encapsulated in PluronicF127 nanoparticles) (Rao et al., 2015). nDOX was demonstrated to exhibit a higher cytotoxic effect in comparison to free doxorubicin in CD44+ CSCs residing in 3D mammary spheroids. Further, nDox showed the significant negative effect on the tumor size progression in orthotopic xenograft tumor model. Similar reports are available where anti-CD44 antibodies conjugated with liposomal nanoparticles carrying doxorubicin drug molecules can selectively target CD44+ CSCs in hepatocellular carcinomas and limiting the side effects of conventional chemotherapy (Wang L. et al., 2012).

Epidermal growth factor receptor-2 (EGFR-2) and transferrin receptor (TfR) is also useful biomarkers for targeting both cancer cells, and CSCs and delivery of nanoparticles carrying drug molecules specifically to these cells would be an intelligent approach to eradicating them simultaneously. Both the CSCs and non-CSCs are reported to express TfR. There are reports from both in vitro and in vivo studies by using particles which can recognize TfR and thus deliver desired anti-CSCs agents [(TfR-targeting nano-complex (Scl)-carrying wtp53 gene)] to them in mouse model studies (Table 5).

TABLE 5
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Table 5. Various types of targeted drug delivery systems for CSC therapy and their potential applications.

Another important study using Cetuximab (binds to an extracellular region of EGFR/EGFRvIII) in GBM CSCs and non-CSCs has provided insight. The Cetuximab-conjugated iron-oxide nanoparticles were used to define their efficacy against tumors in intracranial rodent GBM model. These studies could help in the animal survival after treatment (Kaluzova et al., 2015).

Future Directions

Altogether, the various types of nanomedicine discovered so far by exploring different tumor models are greatly promising. Many of these nanomedicine approaches have high positive impact on the specificity and efficacy of the conventional anti-tumor/anti-CSCs agents. This influence can boost the probabilities of their use in clinics also. However, the development of most effective clinical regimen needs more detailed insights to solve various relevant issues as discussed above. Many nanomedicines have already received clinical approval and seek an urgent attention toward more comprehensive research for their further advancevements. In this virtue, few potential directions are discussed here to get some more attention for the development of most advanced technology.

Optimal Nanomedicine with Higher Efficiency Is Essential for Regulation of CSCs/Tumor Growth

Since payload carrying capacity and other relevant issues are crucial in determining the efficacy of any nanomedicine, the development of efficient nanocarriers would improve the therapeutic effectiveness of them. In addition to the identification of CSCs drug resistance mechanistic and focusing on identification of more CSC specific targeting molecules/markers, designing/synthesis and optimization of nanocarriers application should be of more importance in this context (Table 2: A summary of innovative and potential drug delivery systems for efficient CSCs elimination). Various issues seek immediate attention to developing more efficient nanomedicines which are discussed as followings:

Specificity or Targeted Nanocarriers Related Issues

Deposition of anti-tumor/CSCs agents should be precisely in desired tumor sites/CSCs subpopulation, and there are increasing reports on various types of targeted nanoparticles based anti-tumor therapeutic approaches, which have been encouraging researcher to develop more efficient similar nanoparticle based delivery systems (Wang K. et al., 2012). But these methods suffer from many problems such as modification of nanoparticles (to make them targeted)would add further complexities to the synthesis processes, increase production cost and some regulatory barriers may need to be overcome (Cheng et al., 2012). Further, few research groups have criticized the ability of targeted nanomedicine to deliver the anti-tumor/CSCs moieties into desired sites. It is argued that addition of targeting moieties would compromise the stealth feature of nanoparticles and may suffer from enhanced clearance rate by host clearing system (McNeeley et al., 2007). For example, non-targeted liposomal nanoparticles may exert higher accumulation potential comparable to functionalized-liposomal nanoparticles due their longer circulation time and greater EPR (McNeeley et al., 2007). Another paradox is associated with the high avidity of nanoparticle which is believed to be advantageous but targeted high avidity nanoparticles have been demonstrated to exert reduced penetration in the deep tumor layers (Lee et al., 2010). It is believed that targeted nanoparticles may find it difficult to reach all the CSCs which are residing in the necrotic areas of tumors (Keith and Simon, 2007) and targeted nanoparticles would be more useful against those cancers where they can easily reach to the CSCs, e.g., hematological malignancies. Other difficulties appear due to the non-expression of most common cancer cell surface markers (e.g., HER2 receptor, Transferrin receptor) by CSCs and common expression of most cell surface markers by both the CSCs and healthy stem cells. The common expression profile makes the use of present targeted-nanocarriers less specific which can elicit undesired side-effects (Xia, 2014). These pitfalls indicate the end of the most elaborated definition of CSCs specificity and identification of more stringent anti-CSCs specific marker which would help us in developing most effective targeted nanomedicines.

Enhanced Cellular Intake Would be Required to Increase the Potency of Nanocarriers

As discussed above rationally designed nanocarriers holds the key for efficient delivery of anti-CSCs agents to the specific sites with longer retention/circulation time and sufficient cellular internalization that can completely eradicate tumors. Rationale designing requires the development of intelligent and versatile delivery systems (e.g., nanoparticle with the capability to respond to the tumor microenvironmental stimuli). One good example could be given as PEGylation (and other hydrophilic modifications) which are proposed to enhance the stability, reducing non-specific protein interactions and also retard the clearance through immune cells (Knop et al., 2010). Unfortunately, PEGylation has been shown to impede the cellular uptake of nanoparticles and cause limited intracellular trafficking that limits their anti-CSCs activities (Mishra et al., 2004). However, efforts are made to overcome these limitations such as PEG moieties should be detached from the nanoparticles after cellular intake by using specific microenvironmental stimuli within tumor cells. For example, there are nanoscale changes in neoplastic disorders such as pH changes and altered expression of matrix metalloproteinases (Hanahan and Weinberg, 2011; Huang et al., 2013; Mura et al., 2013). For example, phospholipids attached to cell penetrating peptides and further coated with pH sensitive PEG. This PEG coating degrades at low pH and liposomes are taken up by cells through their cell-penetrating peptide moieties (Kale and Torchilin, 2010). Other than pH change, proteases and MMP-2 also have been reported to be of use in developing similar environment stimuli-sensitive nanoparticles (Kessenbrock et al., 2010). The micellar nanoparticles are responsive to MMP-2 can form a micelle-plex with siRNA by using a copolymer of PEG/PCL. The PEG/PCL attached through MMP-2 sensitive peptide bridge shown enhanced intracellular intake of micellar-plex due to exposure of cationic peptide polyarginine (r9) after removal of PEG shell in the tumor microenvironment (Wang H. X. et al., 2014). To be noticed, the tumor microenvironment sensitive nanocarriers were equally efficient in getting accumulated (passive) within tumor without having any significant EPR effect on their clearance as compared to non-degradable PEGylated nanoparticles. Similar concept for microenvironment responsive nanocarriers and their interactions with CSCs are not vastly evaluated and need to be explored in more elaborated manner.

Nanocarriers with the Capabilities of Penetrating into the Deepest Interior Population Are Essential for Enhancement of Their Anti-CSCs Activities

There are two anatomically distinct regions in tumor microenvironment or niche termed as outer perivascular region and interior hypoxic regions which are mostly populated by CSCs (Li Z. et al., 2009; Charles et al., 2010; Mohyeldin et al., 2010). For example, aldehyde dehydrogenase (ALD) labeled highly proliferating epithelial-like breast CSCs are demonstrated to be located in the interiors of tumors (Liu et al., 2014).

The accessibility to the peripherally located CSCs by therapeutic agents due to the fully developed vasculature in these regions make them an easy target. Whereas, another interior regions remain poorly vascularised and characterized by hypoxic environment due to the immature vasculature and immense interstitial matrix causing the reduced penetration of therapeutic agents and comparable higher survival rate of CSCs in them (Mohyeldin et al., 2010). The rationale to improve penetration capability of nanocarriers loaded with anti-CSCs agents could be a better option to target these CSCs. In fact, various methods are demonstrated to improve the penetration and subsequent retention of nanocarriers based drugs in the desired tumor tissues. For example, PEGylation, manipulating surface charge of nanoparticles, particle size, and tissue penetrating peptide attachments are some good examples (Kim et al., 2010; Cabral et al., 2011; Jokerst et al., 2011; Ruoslahti, 2012). Another smart delivery system may involve changeable properties (e.g., structure, size) according to variables in the microenvironment such as low pH, low oxygen concentration, and high concentration of proteases in the interiors of the tumor microenvironment. These smart nanoparticles would be carrying multiple components and can control the release and penetration/accumulation of therapeutic agents in tumor niche. Development of pH sensitive liposome-based dendrimer nanocarriers have been a good example of this approach showing enhanced circulation and accumulation in the tissue. After initial accumulation in tumor tissues, these nano-assemblies were capable of penetrating tightly packed tumor cellular microenvironment (containing a dense array of extracellular matrix) resulting in increased drug intake by tumor cells even in the distant regions (Sun Q. et al., 2014).

Genome Editing Aided Nanomedicine for CSCs Eradication

In addition to existing RNAi approaches (e.g., siRNA and miRNA therapeutic agents) more efficient gene editing strategies might open a new door of hope for generating most effective anti-CSCs remedies. The RNAi-based approaches rely upon the RNA degradation/inhibition of translation of genes supporting CSCs survival/function without having any effect on the gene expression as such (Castanotto and Rossi, 2009). Therefore, disease seeking permanent shut down of specific gene expression may not be benefitted from this approach. Also, RNAi-related poor specificity and other off-target effects may also decrease the overall therapeutic value of these strategies (Mittal, 2004; Jackson and Linsley, 2010). Genome editing technology provides a platform for the development of newer and better approach. It involves programmable nucleases [e.g., meganucleases, zinc-finger nucleases (ZFNs), transcription activation like effector nucleases (TALENs), and the clustered regularly interspaced short palindromic repeat (CRISPR) associated nuclease Cas9] (Wolfe et al., 2000; Bibikova et al., 2003; Smith et al., 2006; Christian et al., 2010; Miller et al., 2011; Cong et al., 2013; Ran et al., 2013; Boissel et al., 2014) for editing genome in diseased cells/tissues to cause inactivation/correction of malfunctioning gene(s) due to mutations, generation of proactive mutations and addition of therapeutically effective transgenes (Boettcher and McManus, 2015; Cox et al., 2015). Most importantly, CRYPT based strategies are grabbing more attentions of the researchers across the globe for the study of gene functions, genomic rearrangement, disease progression in both cancer and other disorders, and corrections of inhered genetic disorders (Ran et al., 2013; Cox et al., 2015). CRISPR/Cas9 based approached are more efficient in disruption of gene function in targeted gene knockdown as compared to RNAi-based approaches which rely upon protein depletion related cellular inadequacies (Qi et al., 2013; Shalem et al., 2014). Use of CRISPR-based genome editing technology for the suppression of ABC transporters cassette through targeted nanocarriers would be an efficient method for improved accumulation of anti-CSCs drug molecules (Platt et al., 2014; Aida et al., 2015). For instance, BMP-4 gene addition by genome editing technology promoted differentiation ofCD133+ HCC CSCs while blocking it self-renewal and make them sensitive to the chemotherapeutic agents (Zhang L. et al., 2012).

Although promising the delivery of various editing systems to the particular cell or sites would remain major barriers in the way of their clinical translation.

Due to their low packaging capacity, high expression of nucleases and marked immunogenic effect, the virus-based delivery system are significantly avoidable in the most clinical setting. On the contrary, polymer or liposomal-based methods seems to grab more attention in clinical settings due to their comparatively small toxicity range (Bessis et al., 2004; Wu et al., 2010; Cox et al., 2015; Zuris et al., 2015).

Improvements in the Immunotherapy of CSCs

Different types of immune cells (e.g., T cells, macrophages, natural killer cells, etc.) are known to affect the CSCs (both inhibitory/stimulatory effects) in tumor microenvironment along with other types of cells such as mesenchymal stem cells, tissue associated fibroblast, and endothelial cells (Korkaya et al., 2011). Recent advancements in the identification of tumor cells and infiltrating immune cells have raised the potential use of immune therapeutics in clinics (Pan et al., 2015).

Endogenous immune response regulators (e.g., cell surface molecules) functions as immunity checkpoint and can regulate autoimmune responses through their regulatory effects on the various co-inhibitory signaling pathways (Nirschl and Drake, 2013). However, in the case of cancer, these inhibitory pathways facilitate tumor immune resistance (Naidoo et al., 2014). Various research groups have demonstrated major immunoinhibitory pathways. For instance, programmed cell death-1 (PD-1)/PD-L1 axis, and the cytotoxic T-lymphocyte antigen 4 (CTLA-4)/B7 axis, which contribute cancer cell protection through their suppressive role in tumor microenvironment and negatively regulate cancer cell eradication by immune destruction methods (Pardoll, 2012; Lyford-Pike et al., 2013). Since stem cells are immune-privileged and have an active role in immuno-regulations In CSC niche. The secretion of various paracrine factors by CSCs can reciprocally modulate the immune cells (Frank and Sayegh, 2004; Le Blanc et al., 2004; Le Blanc and Ringden, 2007; Schatton et al., 2008; Maccalli et al., 2014). IT is demonstrated that CSC can negatively regulate T-cell activities (Schatton and Frank, 2008; Schatton et al., 2010). By expression of the chemoresistance determining factor ABCB5 a novel type of CSCs has been identified that is known as malignant melanoma initiating cells (MMIC). The MMICs preferentially express PD-1 and B7.2 but significant decrease in the expression level of PD-L1 compared to ABCB5-cells (Schatton and Frank, 2008). Reports are showing the clinical use of anti-PD-1/PDL-1 monoclonal antibodies in various cancers including melanomas and lung cancer (Sharma et al., 2011; Topalian et al., 2012), and in refractory Hodgkin's disease (Ansell et al., 2014). In these clinical studies, few patients had considerably prolonged responses in comparison to cytotoxic/targeted therapies, and as per assumption activation of T-cell may decline by PD-1/PD-L1 expression in tumor cells. For instance, head and neck carcinoma cells are reported to have high expression level of PD-1/PD-L1 (Lee and Sunwoo, 2014). Thus, it is postulated that in future clinical trials assessment of CSCs' ability to respond immune blockade checkpoint can be an important determining factor. Also, the combined use of immune-checkpoint therapies and CSCs targeting immunotherapy (e.g., vaccine) may be a useful tool to enhance their clinical utility.

Studies reported that EMT program has positive effect o the expression level of CD90 and EphA4 which are known to participate in interactions among CSCs and tumor-associated monocytes and macrophages (TAMs) and these TAMs create a CSCs niche causing enhanced CSCs activities of carcinoma cells (Lu et al., 2014). In another study, breast cancer cells were shown to have resistance against autologous/allogeneic natural killer cells due to reduced expression of MICA and MICAB (two ligands for the stimulatory receptor NKG2D) (Wang B. et al., 2014). In a mouse study, the potential of ALDH1A1-based immunotherapy (via adoptive cell therapy causing the elimination of ALDH bright + population) have been demonstrated to be of therapeutic importance (Visus et al., 2011).

Implementation of CSCs-based dendritic cell vaccine has also been useful in developing anti-CSCs immunity. For example, DV vaccination by neurosphere showed stronger anti-tumor effects on in comparison to conventionally grown cells in a mouse glioma model (Ning et al., 2012; Toda, 2013). In similar studies to evaluate the preventive effect of CSC-based vaccination on the liver metastasis development in a rat colon cancer model shown a significant reduction in the tumor volume incidence (Duarte et al., 2013).

Nanoparticles are useful as a carrier for vaccine antigen and have been promising in the development of cancer immunotherapy (Park et al., 2013; Goldberg, 2015). The rationally designed nanoparticles have been shown to reduce the accumulation of TAMs or can destroy TAMs which is defined as an essential component of CSCs niche (Leuschner et al., 2011; Zhu et al., 2013). Another report indicates more encouraging results showing a role as an adjuvant for the nanoparticles which can stabilize the vaccine antigens boost the response of antigen-specific CD8+ T cells and therefore enhancing the anti-cancer immunity. Further, changing the size, charge and hydrophobic characteristics of nanoparticles and equip them with suitable targeting moieties may improve their accessibility to the antigen presenting cells (APCs) and modulate the immune response to an antigen resulting to improved anti-cancer therapy (Cruz et al., 2012). Also, use of high-through screening methods may help in identifying new and more accurate anti-CSCs antigens to improve the development of more targeted nanomedicines. A more interesting combination would be the nanotechnology and immunotherapeutic holding greater promises to achieve success in most efficient anti-cancer remedies.

Conclusion

The article entails various approaches to tackle CSCs/tumor cells while describing in-depth knowledge of their biological parameters and significance in tumors. The primary focus was on the use of different nanotechnology-based therapeutic approaches for the effective eradication of CSCs within the tumor to completely cure cancers. Nanomedicines may be the treatment of choice for all the different types of cancer due to their excellent efficacy in penetration, specific retention and killing of tumor cells/CSCs. However, a lot of many issues which should be dealt in priority to ensure the maximum benefit from the recent advancements in the field of nanomedicine is essential. Also, use of multidisciplinary tactics for the enhancement of the efficiency of both conventional and nanotechnology based and cancer therapeutics regime would be substantial asset. In short, nanomedicine is the future of cancer treatment and would require more in-depth knowledge of basic information of cancer cells and other allied subjects (such as chemical synthesis of optimal nanocarriers) to improve the existing barriers in this field further.

Author Contributions

VS, manuscript conceptualization, design, writing, editing, and final approval; AS, editing, formatting, artwork designing; RC, Conceptualization, editing, and final discussion.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We are thankful to the Honorable Chairman and the Honorable Vice-Chancellor of the Delhi Technological University, Prof. Yogesh Singh, Shahbad Daulatpur, Bawana Road, Delhi-42, for support. VS particularly thanks the Department of Science and Technology and Indian National Science Academy (INSA), INDIA, for the research grant.

References

Abd-El-Aziz, A. S., Abdelghani, A. A., Wagner, B. D., and Abdelrehim, E. M. (2016). Aggregation enhanced excimer emission (AEEE) with efficient blue emission based on pyrene dendrimers. Polym. Chem. 7, 3277–3299. doi: 10.1039/C6PY00443A

CrossRef Full Text | Google Scholar

Aida, T., Chiyo, K., Usami, T., Ishikubo, H., Imahashi, R., Wada, Y., et al. (2015). Cloning-free CRISPR/Cas system facilitates functional cassette knock-in in mice. Genome Biol. 16:87. doi: 10.1186/s13059-015-0653-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Al-Hajj, M., Wicha, M. S., Benito-Hernandez, A., Morrison, S. J., and Clarke, M. F. (2003). Prospective identification of tumorigenic breast cancer cells. Proc. Natl. Acad. Sci. U.S.A. 100, 3983–3988. doi: 10.1073/pnas.0530291100

PubMed Abstract | CrossRef Full Text | Google Scholar

Andey, T., Marepally, S., Patel, A., Jackson, T., Sarkar, S., O'Connell, M., et al. (2014). Cationic lipid guided short-hairpin RNA interference of annexin A2 attenuates tumor growth and metastasis in a mouse lung cancer stem cell model. J. Control. Release 184, 67–78. doi: 10.1016/j.jconrel.2014.03.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Angelastro, J. M., and Lame, M. W. (2010). Overexpression of CD133 promotes drug resistance in C6 glioma cells. Mol. Cancer Res. 8, 1105–1115. doi: 10.1158/1541-7786.mcr-09-0383

PubMed Abstract | CrossRef Full Text | Google Scholar

Ansell, S. M., Lesokhin, A. M., Borrello, I., Halwani, A., Scott, E. C., Gutierrez, M., et al. (2014). PD-1 blockade with nivolumab in relapsed or refractory Hodgkin's lymphoma. N. Engl. J. Med. 372, 311–319. doi: 10.1056/NEJMoa1411087

PubMed Abstract | CrossRef Full Text | Google Scholar

Balic, A., Sorensen, M. D., Trabulo, S. M., Sainz, B. Jr., Cioffi, M., Vieira, C. R., et al. (2014). Chloroquine targets pancreatic cancer stem cells via inhibition of CXCR4 and hedgehog signaling. Mol. Cancer Ther. 13, 1758–1771. doi: 10.1158/1535-7163.MCT-13-0948

PubMed Abstract | CrossRef Full Text | Google Scholar

Bao, S., Wu, Q., McLendon, R. E., Hao, Y., Shi, Q., Hjelmeland, A. B., et al. (2006a). Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature 444, 756–760. doi: 10.1038/nature05236

PubMed Abstract | CrossRef Full Text | Google Scholar

Bao, S., Wu, Q., Sathornsumetee, S., Hao, Y., Li, Z., Hjelmeland, A. B., et al. (2006b). Stem cell-like glioma cells promote tumor angiogenesis through vascular endothelial growth factor. Cancer Res. 66, 7843–7848. doi: 10.1158/0008-5472.CAN-06-1010

PubMed Abstract | CrossRef Full Text | Google Scholar

Barenholz, Y. (2012). Doxil(R)–the first FDA-approved nano-drug: lessons learned. J. Control. Releas. 160, 117–134. doi: 10.1016/j.jconrel.2012.03.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Baud, V., and Karin, M. (2009). Is NF-κB a good target for cancer therapy? Hopes and pitfalls. Nat. Rev. Drug Discov. 8, 33–40. doi: 10.1038/nrd2781

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, B., and Blanpain, C. (2013). Unravelling cancer stem cell potential. Nat. Rev. Cancer 13, 727–738. doi: 10.1038/nrc3597

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, B., Driessens, G., Goossens, S., Youssef, K. K., Kuchnio, A., Caauwe, A., et al. (2011). A vascular niche and a VEGF-Nrp1 loop regulate the initiation and stemness of skin tumours. Nature 478, 399–403. doi: 10.1038/nature10525

PubMed Abstract | CrossRef Full Text

Bertolini, G., Roz, L., Perego, P., Tortoreto, M., Fontanella, E., Gatti, L., et al. (2009). Highly tumorigenic lung cancer CD133+ cells display stem-like features and are spared by cisplatin treatment. Proc. Natl. Acad. Sci. U.S.A. 106, 16281–16286. doi: 10.1073/pnas.0905653106

PubMed Abstract | CrossRef Full Text | Google Scholar

Bessis, N., GarciaCozar, F. J., and Boissier, M. C. (2004). Immune responses to gene therapy vectors: influence on vector function and effector mechanisms. Gene Ther. 11, S10–S17. doi: 10.1038/sj.gt.3302364

PubMed Abstract | CrossRef Full Text | Google Scholar

Bibikova, M., Beumer, K., Trautman, J. K., and Carroll, D. (2003). Enhancing gene targeting with designed zinc finger nucleases. Science 300:764. doi: 10.1126/science.1079512

PubMed Abstract | CrossRef Full Text | Google Scholar

Bjerkvig, R., Tysnes, B. B., Aboody, K. S., Najbauer, J., and Terzis, A. J. (2005). Opinion: the origin of the cancer stem cell: current controversies and new insights. Nat. Rev. Cancer 5, 899–904. doi: 10.1038/nrc1740

PubMed Abstract | CrossRef Full Text | Google Scholar

Boettcher, M., and McManus, M. T. (2015). Choosing the right tool for the job: RNAi, TALEN, or CRISPR. Mol. Cell. 58, 575–585. doi: 10.1016/j.molcel.2015.04.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Boissel, S., Jarjour, J., Astrakhan, A., Adey, A., Gouble, A., Duchateau, P., et al. (2014). megaTALs: a rare-cleaving nuclease architecture for therapeutic genome engineering. Nucleic Acids Res. 42, 2591–2601. doi: 10.1093/nar/gkt1224

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonnet, D., and Dick, J. E. (1997). Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell. Nat. Med. 3, 730–737. doi: 10.1038/nm0797-730

PubMed Abstract | CrossRef Full Text | Google Scholar

Brescia, P., Ortensi, B., Fornasari, L., Levi, D., Broggi, G., and Pelicci, G. (2013). CD133 is essential for glioblastoma stem cell maintenance. Stem Cells 31, 857–869. doi: 10.1002/stem.1317

PubMed Abstract | CrossRef Full Text | Google Scholar

Briegel, KJ. (2006). Embryonic transcription factors in human breast cancer. IUBMB Life 58, 123–132. doi: 10.1080/15216540600686870

PubMed Abstract | CrossRef Full Text | Google Scholar

Britton, K. M., Eyre, R., Harvey, I. J., Stemke-Hale, K., Browell, D., Lennard, T. W., et al. (2012). Breast cancer, side population cells and ABCG2 expression. Cancer Lett. 323, 97–105. doi: 10.1016/j.canlet.2012.03.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, J. M., and Attardi, L. D. (2005). The role of apoptosis in cancer development and treatment response. Nat. Rev. Cancer, 5, 231–237. doi: 10.1038/nrc1560

PubMed Abstract | CrossRef Full Text | Google Scholar

Bu, Y., and Cao, D. (2012). The origin of cancer stem cells. Front. Biosci. Sch. Ed. 4, 819–830.

PubMed Abstract

Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., et al. (2011). Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size. Nat. Nanotechnol. 6, 815–823. doi: 10.1038/nnano.2011.166

PubMed Abstract | CrossRef Full Text | Google Scholar

Campbell, C., Risueno, R. M., Salati, S., Guezguez, B., and Bhatia, M. (2008). Signal control of hematopoietic stem cell fate: Wnt, Notch, and Hedgehog as the usual suspects. Curr. Opin. Hematol. 15, 319–325. doi: 10.1097/MOH.0b013e328303b9df

PubMed Abstract | CrossRef Full Text | Google Scholar

Castanotto, D., and Rossi, J. J. (2009). The promises and pitfalls of RNA-interference-based therapeutics. Nature 457, 426–433. doi: 10.1038/nature07758

PubMed Abstract | CrossRef Full Text | Google Scholar

Charles, N., Ozawa, T., Squatrito, M., Bleau, A. M., Brennan, C. W., Hambardzumyan, D., et al. (2010). Perivascular nitric oxide activates notch signaling and promotes stem-like character in PDGF-induced glioma cells. Cell Stem Cell 6, 141–152. doi: 10.1016/j.stem.2010.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J., Li, Y., Yu, T. S., McKay, R. M., Burns, D. K., Kernie, S. G., et al. (2012). A restricted cell population propagates glioblastoma growth after chemotherapy. Nature 488, 522–526. doi: 10.1038/nature11287

PubMed Abstract | CrossRef Full Text

Chen, K., Huang, Y. H., and Chen, J. L. (2013). Understanding and targeting cancer stem cells: therapeutic implications and challenges. Acta Pharmacol. Sin. 34, 732–740. doi: 10.1038/aps.2013.27

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Z. G. (2010). Small-molecule delivery by nanoparticles for anticancer therapy. Trends Mol. Med. 16, 594–602. doi: 10.1016/j.molmed.2010.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, G. Z., Chan, J., Wang, Q., Zhang, W., Sun, C. D., and Wang, L. H. (2007). Twist transcriptionally up-regulates AKT2 in breast cancer cells leading to increased migration, invasion, and resistance to paclitaxel. Cancer Res. 67, 1979–1987. doi: 10.1158/0008-5472.CAN-06-1479

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, Z., Al Zaki, A., Hui, J. Z., Muzykantov, V. R., and Tsourkas, A. (2012). Multifunctional nanoparticles: cost versus benefit of adding targeting and imaging capabilities. Science 338, 903–910. doi: 10.1126/science.1226338

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiou, G. Y., Cherng, J. Y., Hsu, H. S., Wang, M. L., Tsai, C. M., Lu, K. H., et al. (2012). Cationic polyurethanes-short branch PEI-mediated delivery of Mir145 inhibited epithelial–mesenchymal transdifferentiation and cancer stem-like properties and in lung adenocarcinoma. J. Control Release 159, 240–250. doi: 10.1016/j.jconrel.2012.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, A. M., Ryter, S. W., and Levine, B. (2013). Autophagy in human health and disease. N. Engl. J. Med. 368, 651–662. doi: 10.1056/NEJMra1205406

PubMed Abstract | CrossRef Full Text | Google Scholar

Christian, M., Cermak, T., Doyle, E. L., Schmidt, C., Zhang, F., Hummel, A., et al. (2010). Targeting DNA double-strand breaks with TAL effector nucleases. Genetics 186, 757–761. doi: 10.1534/genetics.110.120717

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, S. S., and Vadgama, J. V. (2015). Curcumin and epigallocatechin gallate inhibit the cancer stem cell phenotype via down-regulation of STAT3-NFκB signaling. Anticancer Res. 35, 39–46.

PubMed Abstract | Google Scholar

Comijn, J., Berx, G., Vermassen, P., Verschueren, K., van Grunsven, L., Bruyneel, E., et al. (2001). The two-handed E box binding zinc finger protein SIP1 downregulates E-cadherin and induces invasion. Mol. Cell. 7, 1267–1278. doi: 10.1016/S1097-2765(01)00260-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., et al. (2013). Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823. doi: 10.1126/science.1231143

PubMed Abstract | CrossRef Full Text | Google Scholar

Cox, D. B., Platt, R. J., and Zhang, F. (2015). Therapeutic genome editing: prospects and challenges. Nat. Med. 21, 121–131. doi: 10.1038/nm.3793

PubMed Abstract | CrossRef Full Text | Google Scholar

Cruz, L. J., Tacken, P. J., Rueda, F., Domingo, J. C., Albericio, F., and Figdor, C. G. (2012). Targeting nanoparticles to dendritic cells for immunotherapy. Methods Enzymol. 509, 143–163. doi: 10.1016/B978-0-12-391858-1.00008-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Cufi, S., Vazquez-Martin, A., Oliveras-Ferraros, C., Martin-Castillo, B., Vellon, L., and Menendez, J. A. (2011). Autophagy positively regulates the CD44+ CD24−/low breast cancer stem-like phenotype. Cell Cycle 10, 3871–3885. doi: 10.4161/cc.10.22.17976

PubMed Abstract | CrossRef Full Text | Google Scholar

Cui, F. B., Liu, Q., Li, R. T., Shen, J., Wu, P. Y., Yu, L. X., et al. (2014). Enhancement of radiotherapy efficacy by miR-200c-loaded gelatinase-stimuli PEG-Pep-PCL nanoparticles in gastric cancer cells. Int. J. Nanomed. 9, 2345–2358. doi: 10.2147/IJN.S60874

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, M. E., Chen, Z. G., and Shin, D. M. (2008). Nanoparticle therapeutics: an emerging treatment modality for cancer. Nat. Rev. Drug Discov. 7, 771–782. doi: 10.1038/nrd2614

PubMed Abstract | CrossRef Full Text | Google Scholar

Dean, M., Fojo, T., and Bates, S. (2005). Tumour stem cells and drug resistance. Nat. Rev. Cancer 5, 275–284. doi: 10.1038/nrc1590

PubMed Abstract | CrossRef Full Text | Google Scholar

Diehn, M., Cho, R. W., Lobo, N. A., Kalisky, T., Dorie, M. J., Kulp, A. N., et al. (2009). Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature 458, 780–783. doi: 10.1038/nature07733

PubMed Abstract | CrossRef Full Text | Google Scholar

Diehn, M., and Clarke, M. F. (2006). Cancer stem cells and radiotherapy: new insights into tumor radioresistance. J. Natl. Cancer Inst. 98, 1755–1757. doi: 10.1093/jnci/djj505

PubMed Abstract | CrossRef Full Text | Google Scholar

Domen, J., Cheshier, S. H., and Weissman, I. L. (2000). The role of apoptosis in the regulation of hematopoietic stem cells: overexpression of Bcl-2 increases both their number and repopulation potential. J. Exp. Med. 191, 253–264. doi: 10.1084/jem.191.2.253

PubMed Abstract | CrossRef Full Text | Google Scholar

Driessens, G., Beck, B., Caauwe, A., Simons, B. D., and Blanpain, C. (2012). Defining the mode of tumour growth by clonal analysis. Nature 488, 527–530. doi: 10.1038/nature11344

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, J.-Z., Du, X.-J., Mao, C.-Q., and Wang, J. (2011). Tailor-made dual pHsensitive polymer–doxorubicin nanoparticles for efficient anticancer drug delivery. J. Am. Chem. Soc. 133, 17560–17563. doi: 10.1021/ja207150n

PubMed Abstract | CrossRef Full Text | Google Scholar

Duarte, S., Momier, D., Baque, P., Casanova, V., Loubat, A., Samson, M., et al. (2013). Preventive cancer stem cell-based vaccination reduces liver metastasis development in a rat colon carcinoma syngeneic model. Stem Cells 31, 423–432. doi: 10.1002/stem.1292

PubMed Abstract | CrossRef Full Text | Google Scholar

Dylla, S. J., Beviglia, L., Park, I. K., Chartier, C., Raval, J., Ngan, L., et al. (2008). Colorectal cancer stem cells are enriched in xenogeneic tumors following chemotherapy. PLoS ONE 3:e2428. doi: 10.1371/journal.pone.0002428

PubMed Abstract | CrossRef Full Text | Google Scholar

Eatemadi, A., Daraee, H., Karimkhanloo, H., Kouhi, M., Zarghami, N., Akbarzadeh, A., et al. (2014). Carbon nanotubes: properties, synthesis, purification, and medical applications. Nanoscale Res. Lett. 9:393. doi: 10.1186/1556-276X-9-393

PubMed Abstract | CrossRef Full Text | Google Scholar

Eramo, A., Lotti, F., Sette, G., Pilozzi, E., Biffoni, M., Di Virgilio, A., et al. (2008). Identification and expansion of the tumorigenic lung cancer stem cell population. Cell Death Differ. 15, 504–514. doi: 10.1038/sj.cdd.4402283

PubMed Abstract | CrossRef Full Text | Google Scholar

Eramo, A., Ricci-Vitiani, L., Zeuner, A., Pallini, R., Lotti, F., Sette, G., et al. (2006). Chemotherapy resistance of glioblastoma stem cells. Cell Death Differ. 13, 1238–1241. doi: 10.1038/sj.cdd.4401872

PubMed Abstract | CrossRef Full Text | Google Scholar

Feldmann, G., Habbe, N., Dhara, S., Bisht, S., Alvarez, H., Fendrich, V., et al. (2008). Hedgehog inhibition prolongs survival in a genetically engineered mouse model of pancreatic cancer. Gut 57, 1420–1430. doi: 10.1136/gut.2007.148189

PubMed Abstract | CrossRef Full Text | Google Scholar

Flavahan, W. A., Wu, Q., Hitomi, M., Rahim, N., Kim, Y., Sloan, A. E., et al. (2013). Brain tumor initiating cells adapt to restricted nutrition through preferential glucose uptake. Nat. Neurosci. 16, 1373–1382. doi: 10.1038/nn.3510

PubMed Abstract | CrossRef Full Text | Google Scholar

Flemming, A. (2015). Cancer stem cells, targeting the root of cancer relapse. Nat. Rev. Drug Discov. 14:165. doi: 10.1038/nrd4560

PubMed Abstract | CrossRef Full Text

Frank, M. H., and Sayegh, M. H. (2004). Immunomodulatory functions of mesenchymal stem cells. Lancet 363, 1411–1412. doi: 10.1016/S0140-6736(04)16134-5

PubMed Abstract | CrossRef Full Text

Frank, N. Y., Margaryan, A., Huang, Y., Schatton, T., Waaga-Gasser, A. M., Gasser, M., et al. (2005). ABCB5-mediated doxorubicin transport and chemoresistance in human malignant melanoma. Cancer Res. 65, 4320–4333. doi: 10.1158/0008-5472.CAN-04-3327

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, N. Y., Pendse, S. S., Lapchak, P. H., Margaryan, A., Shlain, D., Doeing, C., et al. (2003). Regulation of progenitor cell fusion by ABCB5 P-glycoprotein, a novel human ATP-binding cassette transporter. J. Biol. Chem. 278, 47156–47165. doi: 10.1074/jbc.M308700200

PubMed Abstract | CrossRef Full Text | Google Scholar

Ganesh, S., Iyer, A. K., Morrissey, D. V., and Amiji, M. M. (2013). Hyaluronic acid based self-assembling nanosystems for CD44 target mediated siRNA delivery to solid tumors. Biomaterials 34, 3489–3502. doi: 10.1016/j.biomaterials.2013.01.077

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z.-G., Tian, L., Hu, J., Park, I.-S., and Bae, Y. H. (2011). Prevention of metastasis in a 4T1 murine breast cancer model by doxorubicin carried by folate conjugated pH sensitive polymeric micelles. J. Control. Release 152, 84–89. doi: 10.1016/j.jconrel.2011.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z., Zhang, L., and Sun, Y. (2012). Nanotechnology applied to overcome tumor drug resistance. J. Control. Release 162, 45–55. doi: 10.1016/j.jconrel.2012.05.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Garner, J. M., Fan, M., Yang, C. H., Du, Z., Sims, M., Davidoff, A. M., et al. (2013). Constitutive activation of signal transducer and activator of transcription 3 (STAT3) and nuclear factor kappaB signaling in glioblastoma cancer stem cells regulates the Notch pathway. J. Biol. Chem. 288, 26167–26176. doi: 10.1074/jbc.M113.477950

PubMed Abstract | CrossRef Full Text | Google Scholar

Ginestier, C., Liu, S., Diebel, M. E., Korkaya, H., Luo, M., Brown, M., et al. (2010). CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts. J. Clin. Invest. 120, 485–497. doi: 10.1172/JCI39397

PubMed Abstract | CrossRef Full Text | Google Scholar

Ginestier, C., Monville, F., Wicinski, J., Cabaud, O., Cervera, N., Josselin, E., et al. (2012). Mevalonate metabolism regulates Basal breast cancer stem cells and is a potential therapeutic target. Stem Cells 30, 1327–1337. doi: 10.1002/stem.1122

PubMed Abstract | CrossRef Full Text | Google Scholar

Goff, D. J., Court Recart, A., Sadarangani, A., Chun, H. J., Barrett, C. L., Krajewska, M., et al. (2013). A pan-BCL2 inhibitor renders bone-marrow-resident human leukemia stem cells sensitive to tyrosine kinase inhibition. Cell Stem Cell 12, 316–328. doi: 10.1016/j.stem.2012.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Goldberg, M. S. (2015). Immunoengineering: how nanotechnology can enhance cancer immunotherapy. Cell 161, 201–204. doi: 10.1016/j.cell.2015.03.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodell, M. A., Brose, K., Paradis, G., Conner, A. S., and Mulligan, R. C. (1996). Isolation and functional properties of murine hematopoietic stem cells that are replicating in vivo. J. Exp. Med. 183, 1797–1806. doi: 10.1084/jem.183.4.1797

PubMed Abstract | CrossRef Full Text | Google Scholar

Gordon, A. N., Fleagle, J. T., Guthrie, D., Parkin, D. E., Gore, M. E., and Lacave, A. J. (2001). Recurrent epithelial ovarian carcinoma: a randomized phase III study of pegylated liposomal doxorubicin versus topotecan. J. Clin. Oncol. 19, 3312–3322. doi: 10.1200/JCO.2001.19.14.3312

PubMed Abstract | CrossRef Full Text | Google Scholar

Gordon, A. N., Tonda, M., Sun, S., and Rackoff, W. (2004). Long-term survival advantage for women treated with pegylated liposomal doxorubicin compared with topotecan in a phase 3 randomized study of recurrent and refractory epithelial ovarian cancer. Gynecol. Oncol. 95, 1–8. doi: 10.1016/j.ygyno.2004.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Gottesman, M. M., Fojo, T., and Bates, S. E. (2002). Multidrug resistance in cancer: role of ATP-dependent transporters. Nat. Rev. Cancer 2, 48–58. doi: 10.1038/nrc706

PubMed Abstract | CrossRef Full Text | Google Scholar

Grenha, A., Seijo, B., and Remuñán-López, C. (2005). Microencapsulated chitosan nanoparticles for lung protein delivery. Eur. J. Pharm. Sci. 25, 427–437. doi: 10.1016/j.ejps.2005.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Gul-Uludag, H., Valencia-Serna, J., Kucharski, C., Marquez-Curtis, L. A., Jiang, X., Larratt, L., et al. (2014). Polymeric nanoparticle-mediated silencing of CD44 receptor in CD34+ acute myeloid leukemia cells. Leuk Res. 38, 1299–1308. doi: 10.1016/j.leukres.2014.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, P. B., Onder, T. T., Jiang, G., Tao, K., Kuperwasser, C., Weinberg, R. A., et al. (2009). Identification of selective inhibitors of cancer stem cells by high-throughput screening. Cell 138, 645–659. doi: 10.1016/j.cell.2009.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Halayqa, M., and Domańska, U. (2014). PLGA biodegradable nanoparticles containing perphenazine or chlorpromazine hydrochloride: effect of formulation and release. Int. J. Mol. Sci. 15, 23909–23923. doi: 10.3390/ijms151223909

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamaguchi, T., Matsumura, Y., Suzuki, M., Shimizu, K., Goda, R., Nakamura, I., et al. (2005). NK105, a paclitaxel-incorporating micellar nanoparticle formulation, can extend in vivo antitumour activity and reduce the neurotoxicity of paclitaxel. Br. J. Cancer 92, 1240–1246. doi: 10.1038/sj.bjc.6602479

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanahan, D., and Weinberg, R. A. (2011). Hallmarks of cancer: the next generation. Cell 144, 646–674. doi: 10.1016/j.cell.2011.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Haraguchi, N., Ishii, H., Mimori, K., Tanaka, F., Ohkuma, M., Kim, H. M., et al. (2010). CD13 is a therapeutic target in human liver cancer stem cells. J. Clin. Invest. 120, 3326–3339. doi: 10.1172/JCI42550

PubMed Abstract | CrossRef Full Text | Google Scholar

Hartwell, K. A., Muir, B., Reinhardt, F., Carpenter, A. E., Sgroi, D. C., and Weinberg, RA. (2006). The Spemann organizer gene, Goosecoid, promotes tumor metastasis. Proc. Natl. Acad. Sci. U.S.A. 103, 18969–18974. doi: 10.1073/pnas.0608636103

PubMed Abstract | CrossRef Full Text | Google Scholar

Hay, E. D. I. (1995). An overview of epithelio-mesenchymal transformation. Acta Anat. (Basel). 154, 8–20. doi: 10.1159/000147748

PubMed Abstract | CrossRef Full Text | Google Scholar

He, N., Reguart, L., You, L., Mazieres, J., Xu, Z., Lee, A. Y., et al. (2005). Blockade of Wnt-1 signaling induces apoptosis in human colorectal cancer cells containing downstream mutations. Oncogene 24, 3054–3058. doi: 10.1038/sj.onc.1208511

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirsch, H. A., Iliopoulos, D., and Struhl, K. (2013). Metformin inhibits the inflammatory response associated with cellular transformation and cancer stem cell growth. Proc. Natl. Acad. Sci. U.S.A. 110, 972–977. doi: 10.1073/pnas.1221055110

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirsch, H. A., Iliopoulos, D., Tsichlis, P. N., and Struhl, K. (2009). Metformin selectively targets cancer stem cells, and acts together with chemotherapy to block tumor growth and prolong remission. Cancer Res. 69, 7507–7511. doi: 10.1158/0008-5472.CAN-09-2994

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirschmann-Jax, C., Foster, A. E., Wulf, G. G., Nuchtern, J. G., Jax, T. W., Gobel, U., et al. (2004). A distinct “side population” of cells with high drug efflux capacity in human tumor cells. Proc. Natl. Acad. Sci. U.S.A. 101, 14228–14233. doi: 10.1073/pnas.0400067101

PubMed Abstract | CrossRef Full Text | Google Scholar

Ho, M. M., Ng, A. V., Lam, S., and Hung, J. Y. (2007). Side population in human lung cancer cell lines and tumors is enriched with stem-like cancer cells. Cancer Res. 67, 4827–4833. doi: 10.1158/0008-5472.CAN-06-3557

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, T., Liu, S., Breiter, D. R., Wang, F., Tang, Y., and Sun, S. (2008). Octamer 4 small interfering RNA results in cancer stem cell-like cell apoptosis. Cancer Res. 68, 6533–6540. doi: 10.1158/0008-5472.CAN-07-6642

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Y., and Fu, L. (2012). Targeting cancer stem cells: a new therapy to cure cancer patients. Am. J. Cancer Res. 2, 340–356.

PubMed Abstract | Google Scholar

Huang, S., Shao, K., Liu, Y., Kuang, Y., Li, J., An, S., et al. (2013). Tumor-targeting and microenvironment-responsive smart nanoparticles for combination therapy of antiangiogenesis and apoptosis. ACS Nano. 7, 2860–2871. doi: 10.1021/nn400548g

PubMed Abstract | CrossRef Full Text | Google Scholar

Huber, M. A., Kraut, N., and Beug, H. (2005). Molecular requirements for epithelial-mesenchymal transition during tumor progression. Curr. Opin. Cell Biol. 17, 548–558. doi: 10.1016/j.ceb.2005.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Jackson, A. L., and Linsley, P. S. (2010). Recognizing and avoiding siRNA off-target effects for target identification and therapeutic application. Nat. Rev. Drug Discov. 9, 57–67. doi: 10.1038/nrd3010

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, L., Hope, K. J., Zhai, Q., Smadja-Joffe, F., and Dick, J. E. (2006). Targeting of CD44 eradicates human acute myeloid leukemic stem cells. Nat. Med. 12, 1167–1174. doi: 10.1038/nm1483

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, L., Lee, E. M., Ramshaw, H. S., Busfield, S. J., Peoppl, A. G., Wilkinson, L., et al. (2009). Monoclonal antibody-mediated targeting of CD123, IL-3 receptor alpha chain, eliminates human acute myeloid leukemic stem cells. Cell Stem Cell 5, 31–42. doi: 10.1016/j.stem.2009.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Jokerst, J. V., Lobovkina, T., Zare, R. N., and Gambhir, S. S. (2011). Nanoparticle PEGylation for imaging and therapy. Nanomedicine (Lond). 6, 715–728. doi: 10.2217/nnm.11.19

PubMed Abstract | CrossRef Full Text | Google Scholar

Kale, A. A., and Torchilin, V. P. (2010). Environment-responsive multifunctional liposomes. Methods Mol. Biol. 605, 213–242. doi: 10.1007/978-1-60327-360-2_15

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalota, A., Shetzline, S. E., and Gewirtz, A. M. (2004). Progress in the development of nucleic acid therapeutics for cancer. Cancer Biol. Ther. 3, 4–12. doi: 10.4161/cbt.3.1.517

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaluzova, M., Bouras, A., Machaidze, R., and Hadjipanayis, C. G. (2015). Targeted therapy of glioblastoma stem-like cells and tumor non-stem cells using cetuximab-conjugated iron-oxide nanoparticles. Oncotarget 6, 8788–8806. doi: 10.18632/oncotarget.3554

PubMed Abstract | CrossRef Full Text | Google Scholar

Karhadkar, S. S., Bova, G. S., Abdallah, N., Dhara, S., Gardner, D., Maitra, A., et al. (2004). Hedgehog signalling in prostate regeneration, neoplasia and metastasis. Nature 431, 707–712. doi: 10.1038/nature02962

PubMed Abstract | CrossRef Full Text | Google Scholar

Ke, X. Y., Lin Ng, V. W., Gao, S. J., Tong, Y. W., Hedrick, J. L., and Yang, Y. Y. (2014). Co-delivery of thioridazine and doxorubicin using polymeric micelles for targeting both cancer cells and cancer stem cells. Biomaterials 35, 1096–1108. doi: 10.1016/j.biomaterials.2013.10.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Keith, B., and Simon, M. C. (2007). Hypoxia-inducible factors, stem cells, and cancer. Cell 129, 465–472. doi: 10.1016/j.cell.2007.04.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessenbrock, K., Plaks, V., and Werb, Z. (2010). Matrix metalloproteinases: regulators of the tumor microenvironment. Cell 141, 52–67. doi: 10.1016/j.cell.2010.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Kikushige, Y., Shima, T., Takayanagi, S., Urata, S., Miyamoto, T., Iwasaki, H., et al. (2010). TIM-3 is a promising target to selectively kill acute myeloid leukemia stem cells. Cell Stem Cell 7, 708–717. doi: 10.1016/j.stem.2010.11.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, B., Han, G., Toley, B. J., Kim, C. K., Rotello, V. M., and Forbes, N. S. (2010). Tuning payload delivery in tumour cylindroids using gold nanoparticles. Nat. Nanotechnol. 5, 465–472. doi: 10.1038/nnano.2010.58

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S. S., Rait, A., Kim, E., Pirollo, K. F., Nishida, M., Farkas, N., et al. (2014a). A nanoparticle carrying the p53 gene targets tumors including cancer stem cells, sensitizes glioblastoma to chemotherapy and improves survival. ACS Nano 8, 5494–5514. doi: 10.1021/nn5014484

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S. S., Rait, A., Rubab, F., Rao, A. K., Kiritsy, M. C., Pirollo, K. F., et al. (2014b). The clinical potential of targeted nanomedicine: delivering to cancer stem-like cells. Mol. Ther. 22, 278–291. doi: 10.1038/mt.2013.231

PubMed Abstract | CrossRef Full Text | Google Scholar

Knop, K., Hoogenboom, R., Fischer, D., and Schubert, U. S. (2010). Poly(ethylene glycol) in drug delivery: pros and cons as well as potential alternatives. Angew. Chem. Int. Ed. 49, 6288–6308. doi: 10.1002/anie.200902672

PubMed Abstract | CrossRef Full Text | Google Scholar

Korkaya, H., Liu, S., and Wicha, M. S. (2011). Breast cancer stem cells, cytokine networks, and the tumor microenvironment. J. Clin. Invest. 121, 3804–3809. doi: 10.1172/JCI57099

PubMed Abstract | CrossRef Full Text | Google Scholar

Krishnamurthy, S., Ng, V. W., Gao, S., Tan, M.-H., and Yang, Y. Y. (2014). Phenformin-loaded polymeric micelles for targeting both cancer cells and cancer stem cells in vitro and in vivo. Biomaterials 35, 9177–9186. doi: 10.1016/j.biomaterials.2014.07.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Lang, Y., Hsu, J. L., Meric-Bernstam, F., Chang, C. J., Wang, Q., Bao, Y., et al. (2011). BikDD eliminates breast cancer initiating cells and synergizes with lapatinib for breast cancer treatment. Cancer Cell 20, 341–356. doi: 10.1016/j.ccr.2011.07.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Le Blanc, K., Rasmusson, I., Sundberg, B., Götherström, C., Hassan, M., Uzunel, M., et al. (2004). Treatment of severe acute graft-versus-host disease with third party haploidentical mesenchymal stem cells. Lancet 363, 1439–1441. doi: 10.1016/S0140-6736(04)16104-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Le Blanc, K., and Ringden, O. (2007). Immunomodulation by mesenchymal stem cells and clinical experience. J. Intern. Med. 262, 509–525. doi: 10.1111/j.1365-2796.2007.01844.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H., Fonge, H., Hoang, B., Reilly, R. M., and Allen, C. (2010). The effects of particle size and molecular targeting on the intratumoral and subcellular distribution of polymeric nanoparticles. Mol. Pharm. 7, 1195–1208. doi: 10.1021/mp100038h

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S. J., Koo, H., Lee, D.-E., Min, S., Lee, S., Chen, X., et al. (2011). Tumor-homing photosensitizer-conjugated glycol chitosan nanoparticles for synchronous photodynamic imaging and therapy based on cellular on/off system. Biomaterials 32, 4021–4029. doi: 10.1016/j.biomaterials.2011.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, Y., and Sunwoo, J. (2014). PD-L1 is preferentially expressed on CD44+ tumor-initiating cells in head and neck squamous cell carcinoma. J. Immunother. Cancer. 2(Suppl. 3):270. doi: 10.1186/2051-1426-2-S3-P270

CrossRef Full Text | Google Scholar

Lei, C., Cui, Y., Zheng, L., Kah-Hoe Chow, P., and Wang, C.-H. (2013). Development of a gene/drug dual delivery system for brain tumor therapy: potent inhibition via RNA interference and synergistic effects. Biomaterials 34, 7483–7494. doi: 10.1016/j.biomaterials.2013.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Leuschner, F., Dutta, P., Gorbatov, R., Novobrantseva, T. I., Donahoe, J. S., Courties, G., et al. (2011). Therapeutic siRNA silencing in inflammatory monocytes in mice. Nat. Biotechnol. 29, 1005–1010. doi: 10.1038/nbt.1989

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, C., Heidt, D. G., Dalerba, P., Burant, C. F., Zhang, L., Adsay, V., et al. (2007). Identification of pancreatic cancer stem cells. Cancer Res. 67, 1030–1037. doi: 10.1158/0008-5472.CAN-06-2030

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, S. Y., Sun, R., Wang, H. X., Shen, S., Liu, Y., Du, X. J., et al. (2015). Combination therapy with epigenetic-targeted and chemotherapeutic drugs delivered by nanoparticles to enhance the chemotherapy response and overcome resistance by breast cancer stem cells. J. Control. Release 205, 7–14. doi: 10.1016/j.jconrel.2014.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Rogoff, H. A., Keates, S., Gao, Y., Murikipudi, S., Mikule, K., et al. (2015). Suppression of cancer relapse and metastasis by inhibiting cancer stemness. Proc. Natl. Acad. Sci. U.S.A. 112, 1839–1844. doi: 10.1073/pnas.1424171112

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Wang, F., Sun, T., Du, J., Yang, X., and Wang, J. (2014). Surfacemodulated and thermoresponsive polyphosphoester nanoparticles for enhanced intracellular drug delivery. Sci. China Chem. 57, 1–7. doi: 10.1007/s11426-013-5056-9

CrossRef Full Text | Google Scholar

Li, Y. Y., Cheng, H., Zhu, J. L., Yuan, L., Dai, Y., Cheng, S.-X., et al. (2009). Temperature-and pH-sensitive multicolored micellar complexes. Adv. Mater. 21, 2402–2406. doi: 10.1002/adma.200803770

CrossRef Full Text | Google Scholar

Li, Y.-Y., Hua, S.-H., Xiao, W., Wang, H.-Y., Luo, X.-H., Li, C., et al. (2011). Dual-vectors of anti-cancer drugs and genes based on pH-sensitive micelles selfassembled from hybrid polypeptide copolymers. J. Mater. Chem. 21, 3100–3106. doi: 10.1039/c0jm03385e

CrossRef Full Text | Google Scholar

Li, Y., and Zhang, T. (2014). Targeting cancer stem cells by curcumin and clinical applications. Cancer Lett. 346, 197–205. doi: 10.1016/j.canlet.2014.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Zhang, T., Korkaya, H., Liu, S., Lee, H. F., Newman, B., et al. (2010). Sulforaphane, a dietary component of broccoli/broccoli sprouts, inhibits breast cancer stem cells. Clin. Cancer Res. 16, 2580–2590. doi: 10.1158/1078-0432.CCR-09-2937

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z., Bao, S., Wu, Q., Wang, H., Eyler, C., Sathornsumetee, S., et al. (2009). Hypoxia-inducible factors regulate tumorigenic capacity of glioma stem cells. Cancer Cell. 15, 501–513. doi: 10.1016/j.ccr.2009.03.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, K. J., Bisht, S., Bar, E. E., Maitra, A., and Eberhart, C. G. (2011). A polymeric nanoparticle formulation of curcumin inhibits growth, clonogenicity and stem-like fraction in malignant brain tumors. Cancer Biol. Ther. 11, 464–473. doi: 10.4161/cbt.11.5.14410

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, M. P. A., Lee, W. L., Widjaja, E., and Loo, S. C. J. (2013). One-step fabrication of core–shell structured alginate–PLGA/PLLA microparticles as a novel drug delivery system for water soluble drugs. Biomater. Sci. 1, 486–493. doi: 10.1039/C3BM00175J

CrossRef Full Text | Google Scholar

Liu, C., Kelnar, K., Liu, B., Chen, X., Calhoun-Davis, T., Li, H., et al. (2011). The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. Nat. Med. 17, 211–215. doi: 10.1038/nm.2284

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C., Zhao, G., Liu, J., Ma, N., Chivukula, P., Perelman, L., et al. (2009). Novel biodegradable lipid nano complex for siRNA delivery significantly improving the chemosensitivity of human colon cancer stem cells to paclitaxel. J. Control. Release 140, 277–283. doi: 10.1016/j.jconrel.2009.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Q., Li, R. T., Qian, H. Q., Wei, J., Xie, L., Shen, J., et al. (2013). Targeted delivery of miR-200c/DOC to inhibit cancer stem cells and cancer cells by the gelatinases-stimuli nanoparticles. Biomaterials 34, 7191–7203. doi: 10.1016/j.biomaterials.2013.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, S., Cong, Y., Wang, D., Sun, Y., Deng, L., Liu, Y., et al. (2014). Breast cancer stem cells transition between epithelial and mesenchymal states reflective of their normal counterparts. Stem Cell Rep. 2, 78–91. doi: 10.1016/j.stemcr.2013.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Lu, W. L., Guo, J., Du, J., Li, T., Wu, J. W., et al. (2008). A potential target associated with both cancer and cancer stem cells: a combination therapy for eradication of breast cancer using vinorelbine stealthy liposomes plus parthenolide stealthy liposomes. J. Control. Release. 129, 18–25. doi: 10.1016/j.jconrel.2008.03.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y. P., Yang, C. J., Huang, M. S., Yeh, C. T., Wu, A. T., Lee, Y. C., et al. (2013). Cisplatin selects for multidrug-resistant CD133+ cells in lung adenocarcinoma by activating Notch signaling. Cancer Res. 73, 406–416. doi: 10.1158/0008-5472.CAN-12-1733

PubMed Abstract | CrossRef Full Text | Google Scholar

Livney, Y. D., and Assaraf, Y. G. (2013). Rationally designed nanovehicles to overcome cancer chemoresistance. Adv. Drug Deliv. Rev. 65, 1716–1730. doi: 10.1016/j.addr.2013.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Lo, W. L., Chien, Y., Chiou, G. Y., Tseng, L. M., Hsu, H. S., Chang, Y. L., et al. (2010). Nuclear localization signal-enhanced RNA interference of EZH2 and Oct4 in the eradication of head and neck squamous cell carcinoma-derived cancer stem cells. Biomaterials 33, 3693–3709. doi: 10.1016/j.biomaterials.2012.01.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, H., Clauser, K. R., Tam, W. L., Frose, J., Ye, X., Eaton, E. N., et al. (2014). A breast cancer stem cell niche supported by juxtacrine signalling from monocytes and macrophages. Nat. Cell Biol. 16, 1105–1117. doi: 10.1038/ncb3041

PubMed Abstract | CrossRef Full Text | Google Scholar

Lyford-Pike, S., Peng, S., Young, G. D., Taube, J. M., Westra, W. H., Akpeng, B., et al. (2013). Evidence for a role of the PD-1:PD-L1 pathway in immune resistance of HPV-associated head and neck squamous cell carcinoma. Cancer Res. 73, 1733–1741. doi: 10.1158/0008-5472.CAN-12-2384

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, S., Lee, T. K., Zheng, B. J., Chan, K. W., and Guan, X. Y. (2008). CD133+ HCC cancer stem cells confer chemoresistance by preferential expression of the Akt/PKB survival pathway. Oncogene 27, 1749–1758. doi: 10.1038/sj.onc.1210811

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, S., Tang, K. H., Chan, Y. P., Lee, T. K., Kwan, P. S., Castilho, A., et al. (2010). miR-130b Promotes CD133(+) liver tumor-initiating cell growth and self-renewal via tumor protein 53-induced nuclear protein 1. Cell Stem Cell 7, 694–707. doi: 10.1016/j.stem.2010.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Maccalli, C., Volonte, A., Cimminiello, C., and Parmiani, G. (2014). Immunology of cancer stem cells in solid tumours: a review. Eur. J. Cancer 50, 649–655. doi: 10.1016/j.ejca.2013.11.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Maenhaut, C., Dumont, J. E., Roger, P. P., and van Staveren, W. C. (2010). Cancer stem cells: a reality, a myth, a fuzzy concept or a misnomer? An analysis. Carcinogenesis 31, 149–158. doi: 10.1093/carcin/bgp259

PubMed Abstract | CrossRef Full Text | Google Scholar

Mani, S. A., Guo, W., Liao, M. J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., et al. (2008). The epithelial-mesenchymal transition generates cells with properties of stem cells Cell 133, 704–715. doi: 10.1016/j.cell.2008.03.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Mani, S. A., Yang, J., Brooks, M., Schwaninger, G., Zhou, A., Miura, N., et al. (2007). Mesenchyme Forkhead 1 (FOXC2) plays a key role in metastasis and is associated with aggressive basal-like breast cancers. Proc. Natl. Acad. Sci. U.S.A. 104, 10069–10074. doi: 10.1073/pnas.0703900104

PubMed Abstract | CrossRef Full Text | Google Scholar

Markman, J. L., Rekechenetskiy, A., Holler, E., and Ljubimova, J. Y. (2013). Nanomedicine therapeutic approaches to overcome cancer drug resistance. Adv. Drug Deliv. Rev. 65, 1866–1879. doi: 10.1016/j.addr.2013.09.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Maycotte, P., Jones, K. L., Goodall, M. L., Thorburn, J., and Thorburn, A. (2015). Autophagy supports breast cancer stem cell maintenance by regulating IL6 secretion. Mol. Cancer Res. 13, 651–658. doi: 10.1158/1541-7786.MCR-14-0487

PubMed Abstract | CrossRef Full Text | Google Scholar

McCarron, P. A., Marouf, W. M., Quinn, D. J., Fay, F., Burden, R. E., Olwill, S. A., et al. (2008). Antibody targeting of camptothecin-loaded PLGA nanoparticles to tumor cells. Bioconjug. Chem. 19, 1561–1569. doi: 10.1021/bc800057g

PubMed Abstract | CrossRef Full Text | Google Scholar

McGowan, P. M., Simedrea, C., Ribot, E. J., Foster, P. J., Palmieri, D., Steeg, P. S., et al. (2011). Notch1 inhibition alters the CD44hi/CD24lo population and reduces the formation of brain metastases from breast cancer. Mol. Cancer Res. 9, 834–844. doi: 10.1158/1541-7786.MCR-10-0457

PubMed Abstract | CrossRef Full Text | Google Scholar

McNeeley, K. M., Annapragada, A., and Bellamkonda, R. V. (2007). Decreased circulation time offsets increased efficacy of PEGylated nanocarriers targeting folate receptors of glioma. Nanotechnology 18, 385101–385112. doi: 10.1088/0957-4484/18/38/385101

CrossRef Full Text | Google Scholar

Meacham, C. E., and Morrison, S. J. (2013). Tumour heterogeneity and cancer cell plasticity. Nature 501, 328–337. doi: 10.1038/nature12624

PubMed Abstract | CrossRef Full Text

Medema, J. P. (2013). Cancer stem cells: the challenges ahead. Nat. Cell Biol. 15, 338–344. doi: 10.1038/ncb2717

PubMed Abstract | CrossRef Full Text | Google Scholar

Menendez, A., Joven, J., Cufi, S., Corominas-Faja, B., Oliveras-Ferraros, C., Cuyas, E., et al. (2013). The Warburg effect version 2.0: metabolic reprogramming of cancer stem cells. Cell Cycle 12, 1166–1179. doi: 10.4161/cc.24479

PubMed Abstract | CrossRef Full Text | Google Scholar

Merchant, A. A., and Matsui, W. (2010). Targeting Hedgehog–a cancer stem cell pathway. Clin. Cancer Res. 16, 3130–3140. doi: 10.1158/1078-0432.CCR-09-2846

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, J. C., Tan, S., Qiao, G., Barlow, K. A., Wang, J., Xia, D. F., et al. (2011). A TALE nuclease architecture for efficient genome editing. Nat. Biotechnol. 29, 143–148. doi: 10.1038/nbt.1755

PubMed Abstract | CrossRef Full Text | Google Scholar

Minko, T. (2004). Drug targeting to the colon with lectins and neoglycoconjugates. Adv. Drug. Deliv. Rev. 56, 491–509. doi: 10.1016/j.addr.2003.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Mishra, S., Webster, P., and Davis, M. E. (2004). PEGylation significantly affects cellular uptake and intracellular trafficking of non-viral gene delivery particles. Eur. J. Cell Biol. 83, 97–111. doi: 10.1078/0171-9335-00363

PubMed Abstract | CrossRef Full Text | Google Scholar

Mittal, V. (2004). Improving the efficiency of RNA interference in mammals. Nat. Rev. Genet. 5, 355–365. doi: 10.1038/nrg1323

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohyeldin, A., Garzon-Muvdi, T., and Quinones-Hinojosa, A. (2010). Oxygen in stem cell biology: a critical component of the stem cell niche. Cell Stem Cell. 7, 150–161. doi: 10.1016/j.stem.2010.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Mura, S., Nicolas, J., and Couvreur, P. (2013). Stimuli-responsive nanocarriers for drug delivery. Nat. Mater. 12, 991–1003. doi: 10.1038/nmat3776

PubMed Abstract | CrossRef Full Text | Google Scholar

Muthiah, M., Park, I. K., and Cho, C. S. (2013). Nanoparticle-mediated delivery of therapeutic genes: focus on miRNA therapeutics. Expert Opin. Drug Deliv. 10, 1259–1273. doi: 10.1517/17425247.2013.798640

PubMed Abstract | CrossRef Full Text | Google Scholar

Naidoo, J., Page, D. B., and Wolchok, JD. (2014). Immune modulation for cancer therapy. Br. J. Cancer. 111, 2214–2219. doi: 10.1038/bjc.2014.348

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, L. V., Vanner, R., Dirks, P., and Eaves, C. J. (2012). Cancer stem cells: an evolving concept. Nat. Rev. Cancer 12, 133–143. doi: 10.1038/nrc3184

PubMed Abstract | CrossRef Full Text | Google Scholar

Ning, N., Pan, Q., Zheng, F., Teitz-Tennenbaum, S., Egenti, M., Yet, J., et al. (2012). Cancer stem cell vaccination confers significant antitumor immunity. Cancer Res. 72, 1853–1864. doi: 10.1158/0008-5472.CAN-11-1400

PubMed Abstract | CrossRef Full Text | Google Scholar

Nirschl, C. J., and Drake, CG. (2013). Molecular pathways: coexpression of immune checkpoint molecules: signaling pathways and implications for cancer immunotherapy. Clin. Cancer Res. 19, 4917–4924. doi: 10.1158/1078-0432.CCR-12-1972

PubMed Abstract | CrossRef Full Text | Google Scholar

Nobili, S., Landini, I., Giglioni, B., and Mini, E. (2006). Pharmacological strategies for overcoming multidrug resistance. Curr. Drug Targets 7, 861–879. doi: 10.2174/138945006777709593

PubMed Abstract | CrossRef Full Text | Google Scholar

Nowell, P. C. (1976). The clonal evolution of tumor cell populations. Science 194, 23–28. doi: 10.1126/science.959840

PubMed Abstract | CrossRef Full Text | Google Scholar

Oates, J. E., Grey, B. R., Addla, S. K., Samuel, J. D., Hart, C. A., Ramani, V. A., et al. (2009). Hoechst 33342 side population identification is a conserved and unified mechanism in urological cancers. Stem Cells Dev. 18, 1515–1522. doi: 10.1089/scd.2008.0302

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Brien, C. A., Pollett, A., Gallinger, S., and Dick, J. E. (2007). A human colon cancer cell capable of initiating tumour growth in immunodeficient mice. Nature 445, 106–110. doi: 10.1038/nature05372

PubMed Abstract | CrossRef Full Text | Google Scholar

Oft, M., Akhurst, R. J., and Balmain, A. (2002). Metastasis is driven by sequential elevation of H-ras and Smad2 levels. Nat. Cell Biol. 4, 487–494. doi: 10.1038/ncb807

PubMed Abstract | CrossRef Full Text | Google Scholar

Oskarsson, T., Batlle, E., and Massague, J. (2014). Metastatic stem cells: sources, niches, and vital pathways. Cell Stem Cell 14, 306–321. doi: 10.1016/j.stem.2014.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Pai, S. I., Lin, Y. Y., Macaes, B., Meneshian, A., Hung, C. F., and Wu, T. C. (2006). Prospects of RNA interference therapy for cancer. Gene Ther. 13, 464–477. doi: 10.1038/sj.gt.3302694

PubMed Abstract | CrossRef Full Text | Google Scholar

Pan, Q., Li, Q., Liu, S., Ning, N., Zhang, X., Xu, Y., et al. (2015). Concise reviews: targeting cancer stem cells using immunologic approaches. Stem Cells. 33, 2085–2092. doi: 10.1002/stem.2039

PubMed Abstract | CrossRef Full Text | Google Scholar

Pannuti, A., Foreman, K., Rizzo, P., Osipo, C., Golde, T., Osborne, B., et al. (2010). Targeting Notch to target cancer stem cells. Clin. Cancer Res. 16, 3141–3152. doi: 10.1158/1078-0432.CCR-09-2823

PubMed Abstract | CrossRef Full Text | Google Scholar

Pardoll, D. M. (2012). The blockade of immune checkpoints in cancer immunotherapy. Nat. Rev. Cancer. 12, 252–264. doi: 10.1038/nrc3239

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, K., Lee, S., Kang, E., Kim, K., Choi, K., and Kwon, I. C. (2009). New generation of multifunctional nanoparticles for cancer imaging and therapy. Adv. Funct. Mat. 19, 1553–1566. doi: 10.1002/adfm.200801655

CrossRef Full Text | Google Scholar

Park, Y. M., Lee, S. J., Kim, Y. S., Lee, M. H., Cha, G. S., Jung, I. D., et al. (2013). Nanoparticle-based vaccine delivery for cancer immunotherapy. Immun. Netw. 13, 177–183. doi: 10.4110/in.2013.13.5.177

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel, R., Gajra, B., Parikh, R. H., and Patel, G. (2016). Ganciclovir loaded chitosan nanoparticles: preparation and characterization. J. Nanomed. Nanotechnol. 7:411. doi: 10.4172/2157-7439.1000411

CrossRef Full Text

Patil, Y. B., Swaminathan, S. K., Sadhukha, T., Ma, L., and Panyam, J. (2010). The use of nanoparticle-mediated targeted gene silencing and drug delivery to overcome tumor drug resistance. Biomaterials 31, 358–365. doi: 10.1016/j.biomaterials.2009.09.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Pece, S., Tosoni, D., Confalonieri, S., Mazzarol, G., Vecchi, M., Ronzoni, S., et al. (2010). Biological and molecular heterogeneity of breast cancers correlates with their cancer stem cell content. Cell 140, 62–73. doi: 10.1016/j.cell.2009.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., and Langer, R. (2007). Nanocarriers as an emerging platform for cancer therapy. Nat. Nanotechnol. 2, 751–760. doi: 10.1038/nnano.2007.387

PubMed Abstract | CrossRef Full Text | Google Scholar

Peinado, H., Olmeda, D., and Cano, A. (2007). Snail, Zeb and bHLH factors in tumour progression: an alliance against the epithelial phenotype? Nat. Rev. Cancer. 7, 415–428. doi: 10.1038/nrc2131

PubMed Abstract | CrossRef Full Text | Google Scholar

Perez-Pomares, J. M., and Munoz-Chapuli, R. (2002). Epithelial-mesenchymal transitions: a mesodermal cell strategy for evolutive innovation in Metazoans. Anat Rec. 268, 343–351. doi: 10.1002/ar.10165

PubMed Abstract | CrossRef Full Text | Google Scholar

Piao, L., Zhang, M., Datta, J., Xie, X., Su, T., Li, H., et al. (2012). Lipid-based nanoparticle delivery of Pre-miR-107 inhibits the tumorigenicity of head and neck squamous cell carcinoma. Mol. Ther. 20, 1261–1269. doi: 10.1038/mt.2012.67

PubMed Abstract | CrossRef Full Text | Google Scholar

Plaks, V., Kong, N., and Werb, Z. (2015). The cancer stem cell niche: how essential is the niche in regulating stemness of tumor cells? Cell Stem Cell 16, 225–238. doi: 10.1016/j.stem.2015.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Platt, R. J., Chen, S., Zhou, Y., Yim, M. J., Swiech, L., Kempton, H. R., et al. (2014). CRISPR-Cas9 knockin mice for genome editing and cancer modeling. Cell 159, 440–455. doi: 10.1016/j.cell.2014.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., et al. (2013). Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. Cell 152, 1173–1183. doi: 10.1016/j.cell.2013.02.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Quintana, E., Shackleton, M., Foster, H. R., Fullen, D. R., Sabel, M. S., Johnson, T. M., et al. (2010). Phenotypic heterogeneity among tumorigenic melanoma cells from patients that is reversible and not hierarchically organized. Cancer Cell 18, 510–513. doi: 10.1016/j.ccr.2010.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Raaijmakers, M. H., Mukherjee, S., Guo, S., Zhang, S., Kobayashi, T., Schoonmaker, J. A., et al. (2010). Bone progenitor dysfunction induces myelodysplasia and secondary leukaemia. Nature 464, 852–857. doi: 10.1038/nature08851

PubMed Abstract | CrossRef Full Text

Rabindran, S. K., Ross, D. D., Doyle, L. A., Yang, W., and Greenberger, L. M. (2000). Fumitremorgin C reverses multidrug resistance in cells transfected with the breast cancer resistance protein. Cancer Res. 60, 47–50.

PubMed Abstract | Google Scholar

Raj, L. F. A., and Jayalakshmy, E. (2015). Biosynthesis and characterization of zinc oxide nanoparticles using root extract of zingiber officinale. Orient. J. Chem. 31, 51–56. doi: 10.13005/ojc/310105

CrossRef Full Text | Google Scholar

Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., and Zhang, F. (2013). Genome engineering using the CRISPR-Cas9 system. Nat. Protoc. 8, 2281–2308. doi: 10.1038/nprot.2013.143

PubMed Abstract | CrossRef Full Text | Google Scholar

Rao, W., Wang, H., Han, J., Zhao, S., Dumbleton, J., Agarwal, P., et al. (2015). Chitosan-decorated doxorubicin-encapsulated nanoparticle targets and eliminates tumor reinitiating cancer stem-like cells. ACS Nano 9, 5725–5740. doi: 10.1021/nn506928p

PubMed Abstract | CrossRef Full Text | Google Scholar

Reya, T., Morrison, S. J., Clarke, M. F., and Weissman, I. L. (2001). Stem cells, cancer, and cancer stem cells Nature, 414, 105–111. doi: 10.1038/35102167

PubMed Abstract | CrossRef Full Text | Google Scholar

Ricci-Vitiani, L., Lombardi, D. G., Pilozzi, E., Biffoni, M., Todaro, M., Peschle, C., et al. (2007). Identification and expansion of human colon-cancer-initiating cells. Nature 445, 111–115. doi: 10.1038/nature05384

PubMed Abstract | CrossRef Full Text | Google Scholar

Rink, J. S., Plebanek, M. P., Tripathy, S., and Thaxton, C. S. (2013). Update on current and potential nanoparticle cancer therapies. Curr. Opin. Oncol. 25, 646–665. doi: 10.1097/CCO.0000000000000012

PubMed Abstract | CrossRef Full Text | Google Scholar

Rountree, C. B., Ding, W., He, L., and Stiles, B. (2009). Expansion of CD133-expressing liver cancer stem cells in liver-specific phosphatase and tensin homolog deleted on chromosome 10-deleted mice. Stem Cells 27, 290–299. doi: 10.1634/stemcells.2008-0332

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruoslahti, E. (2012). Peptides as targeting elements and tissue penetration devices for nanoparticles. Adv. Mater. 24, 3747–3756. doi: 10.1002/adma.201200454

PubMed Abstract | CrossRef Full Text | Google Scholar

Sachlos, E., Risueno, R. M., Laronde, S., Shapovalova, Z., Lee, J. H., Russell, J., et al. (2012). Identification of drugs including a dopamine receptor antagonist that selectively target cancer stem cells. Cell 149, 1284–1297. doi: 10.1016/j.cell.2012.03.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Sahay, G., Alakhova, D. Y., and Kabanov, A. V. (2010). Endocytosis of nanomedicines. J. Control. Release 145, 182–195. doi: 10.1016/j.jconrel.2010.01.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Savagner, P., Kusewitt, D. F., Carver, E. A., Magnino, F., Choi, C., Gridley, T., et al. (2005). Developmental transcription factor slug is required for effective re-epithelialization by adult keratinocytes. J. Cell. Physiol. 202, 858–866. doi: 10.1002/jcp.20188

PubMed Abstract | CrossRef Full Text | Google Scholar

Schatton, T., and Frank, M. H. (2008). Cancer stem cells and human malignant melanoma. Pigment Cell Melanoma Res. 21, 39–55. doi: 10.1111/j.1755-148X.2007.00427.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Schatton, T., Murphy, G. F., Frank, N. Y., Yamaura, K., Waaga-Gasser, A. M., Gasser, M., et al. (2008). Identification of cells initiating human melanomas. Nature 451, 345–349. doi: 10.1038/nature06489

PubMed Abstract | CrossRef Full Text | Google Scholar

Schatton, T., Schutte, U., Frank, N. Y., Zhan, Q., Hoerning, A., Robles, S. C., et al. (2010). Modulation of T-cell activation by malignant melanoma initiating cells. Cancer Res 70, 697–708. doi: 10.1158/0008-5472.CAN-09-1592

PubMed Abstract | CrossRef Full Text | Google Scholar

Schepers, A. G., Snippert, H. J., Stange, D. E., van den Born, M., van Es, J. H., van de Wetering, M., et al. (2012). Lineage tracing reveals Lgr5+ stem cell activity in mouse intestinal adenomas. Science 337, 730–735. doi: 10.1126/science.1224676

PubMed Abstract | CrossRef Full Text | Google Scholar

Sell, S. (2009). “Regulatory networks in stem cells,” in Regulatory Networks in Stem Cells, Stem Cell Biology and Regenerative Medicine, eds V. K. Rajasekhar and M. C. Vemuri (New York, NY: Humana Press), 495–503.

Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., et al. (2014). Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 343, 84–87. doi: 10.1126/science.1247005

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, P., Wagner, K., Wolchok, J. D., and Allison, J. P. (2011). Novel cancer immunotherapy agents with survival benefit: recent successes and next steps. Nat. Rev. Cancer. 11, 805–812. doi: 10.1038/nrc3153

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, S., Du, X. J., Liu, J., Sun, R., Zhu, Y. H., and Wang, J. (2015). Delivery of bortezomib with nanoparticles for basal-like triple-negative breast cancer therapy. J. Control Release 208, 14–24. doi: 10.1016/j.jconrel.2014.12.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, S., Han, L., Gong, T., Zhang, Z., and Sun, X. (2013). Systemic delivery of microRNA-34a for cancer stem cell therapy. Angew. Chem. Int. Ed. 52, 3901–3905. doi: 10.1002/anie.201208077

PubMed Abstract | CrossRef Full Text | Google Scholar

Shimono, Y., Zabala, M., Cho, R. W., Lobo, N., Dalerba, P., Qian, D., et al. (2009). Downregulation of miRNA-200c links breast cancer stem cells with normal stem cells. Cell 138, 592–603. doi: 10.1016/j.cell.2009.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, S. K., Hawkins, C., Clarke, I. D., Squire, J. A., Bayani, J., Hide, T., et al. (2004). Identification of human brain tumour initiating cells. Nature 432, 396–401. doi: 10.1038/nature03128

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, J., Grizot, S., Arnould, S., Duclert, A., Epinat, J. C., Chames, P., et al. (2006). A combinatorial approach to create artificial homing endonucleases cleaving chosen sequences. Nucleic Acids Res. 34:e149. doi: 10.1093/nar/gkl720

PubMed Abstract | CrossRef Full Text | Google Scholar

Soppimath, K. S., Tan, D. W., and Yang, Y. Y. (2005). pH-triggered thermally responsive polymer core–shell nanoparticles for drug delivery. Adv. Mater. 17, 318–323. doi: 10.1002/adma.200401057

CrossRef Full Text | Google Scholar

Sui, X., Chen, R., Wang, Z., Huang, Z., Kong, N., Zhang, M., et al. (2013). Autophagy and chemotherapy resistance: a promising therapeutic target for cancer treatment. Cell Death Dis. 4:e838. doi: 10.1038/cddis.2013.350

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, Q., Sun, X., Ma, X., Zhou, Z., Jin, E., Zhang, B., et al. (2014). Integration of nanoassembly functions for an effective delivery cascade for cancer drugs. Adv. Mater. 26, 7615–7621. doi: 10.1002/adma.201401554

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, R., Liu, Y., Li, S. Y., Shen, S., Du, X. J., Xu, C. F., et al. (2015). Co-delivery of all-trans-retinoic acid and doxorubicin for cancer therapy with synergistic inhibition of cancer stem cells. Biomaterials 37, 405–414. doi: 10.1016/j.biomaterials.2014.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, T. M., Wang, Y. C., Wang, F., Du, J. Z., Mao, C. Q., Sun, C. Y., et al. (2014). Cancer stem cell therapy using doxorubicin conjugated to gold nanoparticles via hydrazone bonds. Biomaterials 35, 836–845. doi: 10.1016/j.biomaterials.2013.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, T., Zhang, Y. S., Pang, B., Hyun, D. C., Yang, M., and Xia, Y. (2014). Engineered nanoparticles for drug delivery in cancer therapy. Angew. Chem. Int. Ed. 53, 12320–12364. doi: 10.1002/anie.201403036

PubMed Abstract | CrossRef Full Text | Google Scholar

Swaminathan, S. K., Roger, E., Toti, U., Niu, L., Ohlfest, J. R., and Panyam, J. (2013). CD133-targeted paclitaxel delivery inhibits local tumor recurrence in a mouse model of breast cancer. J. Control. Release 171, 280–287. doi: 10.1016/j.jconrel.2013.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Takahashi-Yanaga, F., and Kahn, M. (2010). Targeting Wnt signaling: can we safely eradicate cancer stem cells? Clin. Cancer Res. 16, 3153–3162. doi: 10.1158/1078-0432.ccr-09-2943

PubMed Abstract | CrossRef Full Text | Google Scholar

Takebe, N., Harris, P. J., Warren, R. Q., and Ivy, S. P. (2011). Targeting cancer stem cells by inhibiting Wnt, Notch, and Hedgehog pathways. Nat. Rev. Clin. Oncol. 8, 97–106. doi: 10.1038/nrclinonc.2010.196

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, Y. F., Mundargi, R. C., Chen, M. H. A., Lessig, J., Neu, B., Venkatraman, S. S., et al. (2014). Layer-by-layer nanoparticles as an efficient siRNA delivery vehicle for SPARC silencing. Small 10, 1790–1798. doi: 10.1002/smll.201303201

PubMed Abstract | CrossRef Full Text | Google Scholar

Toda, M. (2013). Glioma stem cells and immunotherapy for the treatment of malignant gliomas. ISRN Oncol. 2013:673793. doi: 10.1155/2013/673793

PubMed Abstract | CrossRef Full Text | Google Scholar

Todaro, M., Alea, M. P., Di Stefano, A. B., Cammareri, P., Vermeulen, L., Iovino, F., et al. (2007). Colon cancer stem cells dictate tumor growth and resist cell death by production of interleukin-4. Cell Stem Cell 1, 389–402. doi: 10.1016/j.stem.2007.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., et al. (2012). Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N. Engl. J. Med. 366, 2443–2454. doi: 10.1056/NEJMoa1200690

PubMed Abstract | CrossRef Full Text | Google Scholar

Vermeulen, L., De Sousa, E. M. F., van der Heijden, M., Cameron, K., de Jong, J. H., Borovski, T., et al. (2010). Wnt activity defines colon cancer stem cells and is regulated by the microenvironment. Nat. Cell Biol. 12, 468–476. doi: 10.1038/ncb2048

PubMed Abstract | CrossRef Full Text | Google Scholar

Vinogradov, S., and Wei, X. (2012). Cancer stem cells and drug resistance: the potential of nanomedicine. Nanomedicine (Lond) 7, 597–615. doi: 10.2217/nnm.12.22

PubMed Abstract | CrossRef Full Text | Google Scholar

Visus, C., Wang, Y., Lozano-Leon, A., Ferris, R. L., Silver, S., Szczepanski, M. J., et al. (2011). Targeting ALDH(bright) human carcinoma-initiating cells with ALDH1A1-specific CD8+ T cells. Clin. Cancer Res. 17, 6174–6184. doi: 10.1158/1078-0432.CCR-11-1111

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, B., Wang, Q., Wang, Z., Jiang, J., Yu, S. C., Ping, Y. F., et al. (2014). Metastatic consequences of immune escape from NK cell cytotoxicity by human breast cancer stem cells. Cancer Res. 74, 5746–5757. doi: 10.1158/0008-5472.CAN-13-2563

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, D., Huang, J., Wang, X., Yu, Y., Zhang, H., Chen, Y., et al. (2013). The eradication of breast cancer cells and stem cells by 8-hydroxyquinoline-loaded hyaluronan modified mesoporous silica nanoparticle-supported lipid bilayers containing docetaxel. Biomaterials 34, 7662–7673. doi: 10.1016/j.biomaterials.2013.06.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H. X., Yang, X. Z., Sun, C. Y., Mao, C. Q., Zhu, Y. H., and Wang, J. (2014). Matrix metalloproteinase 2-responsive micelle for siRNA delivery. Biomaterials 35, 7622–7634. doi: 10.1016/j.biomaterials.2014.05.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, K., Liu, L., Zhang, T., Zhu, Y. L., Qiu, F., Wu, X. G., et al. (2011). Oxaliplatin-incorporated micelles eliminate both cancer stem-like and bulk cell populations in colorectal cancer. Int. J. Nanomed. 6, 3207–3218. doi: 10.2147/IJN.S26268

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, K., Zhang, T., Liu, L., Wang, X., Wu, P., Chen, Z., et al. (2012). Novel micelle formulation of curcumin for enhancing antitumor activity and inhibiting colorectal cancer stem cells. Int. J. Nanomed. 7, 4487–4497. doi: 10.2147/IJN.S34702

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Su, W., Liu, Z., Zhou, M., Chen, S., Chen, Y., et al. (2012). CD44 antibody-targeted liposomal nanoparticles for molecular imaging and therapy of hepatocellular carcinoma. Biomaterials 33, 5107–5114. doi: 10.1016/j.biomaterials.2012.03.067

PubMed Abstract | CrossRef Full Text | Google Scholar

Ward, P. S., and Thompson, C. B. (2012). Metabolic reprogramming: a cancer hallmark even warburg did not anticipate. Cancer Cell 21, 297–308. doi: 10.1016/j.ccr.2012.02.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, X., Senanayake, T. H., Warren, G., and Vinogradov, S. V. (2013). Hyaluronic acid-based nanogel-drug conjugates with enhanced anticancer activity designed for the targeting of CD44-positive and drug-resistant tumors. Bioconjugate Chem. 24, 658–668. doi: 10.1021/bc300632w

PubMed Abstract | CrossRef Full Text | Google Scholar

Williford, J. M., Wu, J., Ren, Y., Archang, M. M., Leong, K. W., and Mao, H. Q. (2014). Recent advances in nanoparticle-mediated siRNA delivery. Annu. Rev. Biomed. Eng. 16, 347–370. doi: 10.1146/annurev-bioeng-071813-105119

PubMed Abstract | CrossRef Full Text | Google Scholar

Woehlecke, H., Osada, H., Herrmann, A., and Lage, H. (2003). Reversal of breast cancer resistance protein-mediated drug resistance by tryprostatin A. Int. Cancer J. 107, 721–728. doi: 10.1002/ijc.11444

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolfe, S. A., Nekludova, L., and Pabo, C. O. (2000). DNA recognition by Cys2His2 zinc finger proteins. Annu. Rev. Biophys. Biomol. Struct. 29, 183–212. doi: 10.1146/annurev.biophys.29.1.183

PubMed Abstract | CrossRef Full Text | Google Scholar

Woodward, W. A., Chen, M. S., Behbod, F., Alfaro, M. P., Buchholz, T. A., and Rosen, J. M. (2007). WNT/beta-catenin mediates radiation resistance of mouse mammary progenitor cells. Proc. Natl. Acad. Sci. U.S.A. 104, 618–623. doi: 10.1073/pnas.0606599104

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Crawford, M., Yu, B., Mao, Y., Nana-Sinkam, S. P., and Lee, L. J. (2011). MicroRNA delivery by cationic lipoplexes for lung cancer therapy. Mol. Pharm. 8, 1381–1389. doi: 10.1021/mp2002076

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Z., Yang, H., and Colosi, P. (2010). Effect of genome size on AAV vector packaging. Mol. Ther. 18, 80–86. doi: 10.1038/mt.2009.255

PubMed Abstract | CrossRef Full Text | Google Scholar

Wurth, R., Pattarozzi, A., Gatti, M., Bajetto, A., Corsaro, A., Parodi, A., et al. (2013). Metformin selectively affects human glioblastoma tumor-initiating cell viability: a role for metformin-induced inhibition of Akt. Cell Cycle 12, 145–156. doi: 10.4161/cc.23050

PubMed Abstract | CrossRef Full Text | Google Scholar

Xia, P. (2014). Surface markers of cancer stem cells in solid tumors. Curr. Stem Cell Res. Ther. 9, 102–111. doi: 10.2174/1574888X09666131217003709

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, C. F., Liu, Y., Shen, S., Zhu, Y. H., and Wang, J. (2015). Targeting glucose uptake with siRNA-based nanomedicine for cancer therapy. Biomaterials 51, 1–11. doi: 10.1016/j.biomaterials.2015.01.068

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, C., Xiong, F., Wang, J., Dou, J., Chen, J., Chen, D., et al. (2014). Anti-ABCG2 monoclonal antibody in combination with paclitaxel nanoparticles against cancer stem-like cell activity in multiple myeloma. Nanomedicine (Lond). 9, 45–60. doi: 10.2217/nnm.12.216

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J., Mani, S. A., Donaher, J. L., Ramaswamy, S., Itzykson, R. A., Come, C., et al. (2004). Twist, a master regulator of morphogenesis, plays an essential role in tumor metastasis. Cell 117, 927–939. doi: 10.1016/j.cell.2004.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y. P., Chien, Y., Chiou, G. Y., Cherng, J. Y., Wang, M. L., Lo, W. L., et al. (2012). Inhibition of cancer stem cell-like properties and reduced chemoradioresistance of glioblastoma using microRNA145 with cationic polyurethane-short branch PEI. Biomaterials 33, 1462–1476. doi: 10.1016/j.biomaterials.2011.10.071

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Z. F., Ho, D. W., Ng, M. N., Lau, C. K., Yu, W. C., Ngai, P., et al. (2008). Significance of CD90+ cancer stem cells in human liver cancer. Cancer Cell 13, 153–166. doi: 10.1016/j.ccr.2008.01.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Yao, H. J., Zhang, Y. G., Sun, L., and Liu, Y. (2014). The effect of hyaluronic acid functionalized carbon nanotubes loaded with salinomycin on gastric cancer stem cells. Biomaterials 35, 9208–9223. doi: 10.1016/j.biomaterials.2014.07.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Ye, J., Wu, D., Wu, P., Chen, Z., and Huang, J. (2014). The cancer stem cell niche: cross talk between cancer stem cells and their microenvironment. Tumor Biol. 35, 3945–3951. doi: 10.1007/s13277-013-1561-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Yousefi, S., and Simon, H. U. (2009). Autophagy in cancer and chemotherapy. Results Probl. Cell Differ. 49, 183–190. doi: 10.1007/400_2008_25

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, F., Yao, H., Zhu, P., Zhang, X., Pan, Q., Gong, C., et al. (2007). let-7 regulates self renewal and tumorigenicity of breast cancer cells. Cell 131, 1109–1123. doi: 10.1016/j.cell.2007.10.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, Y., Ramena, G., and Elble, R. C. (2012). The role of cancer stem cells in relapse of solid tumors. Front. Biosci. 4, 1528–1541. doi: 10.2741/e478

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, Y. Y., Mao, C. Q., Du, X. J., Du, J. Z., Wang, F., and Wang, J. (2012). Surface charge switchable nanoparticles based on zwitterionic polymer for enhanced drug delivery to tumor. Adv. Mater. 24, 5476–5480. doi: 10.1002/adma.201202296

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Sun, H., Zhao, F., Lu, P., Ge, C., Li, H., et al. (2012). BMP4 administration induces differentiation of CD133+ hepatic cancer stem cells, blocking their contributions to hepatocellular carcinoma. Cancer Res. 72, 4276–4285. doi: 10.1158/0008-5472.CAN-12-1013

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Zhang, H., Wang, X., Wang, J., Zhang, X., and Zhang, Q. (2012). The eradication of breast cancer and cancer stem cells using octreotide modified paclitaxel active targeting micelles and salinomycin passive targeting micelles. Biomaterials 33, 679–691. doi: 10.1016/j.biomaterials.2011.09.072

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, P., Dong, S., Bhattacharyya, J., and Chen, M. (2014). iTEP nanoparticle-delivered salinomycin displays an enhanced toxicity to cancer stem cells in orthotopic breast tumors. Mol. Pharm. 11, 2703–2712. doi: 10.1021/mp5002312

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Y., Alakhova, D. Y., and Kabanov, A. V. (2013). Can nanomedicines kill cancer stem cells? Adv. Drug Deliv. Rev. 65, 1763–1783. doi: 10.1016/j.addr.2013.09.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, J., Wulfkuhle, J., Zhang, H., Gu, P., Yang, Y., Deng, J., et al. (2007). Activation of the PTEN/mTOR/STAT3 pathway in breast cancer stem-like cells is required for viability and maintenance. Proc. Natl. Acad. Sci. U.S.A. 104, 16158–16163. doi: 10.1073/pnas.0702596104

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., Yang, J., and Kopecek, J. (2012). Selective inhibitory effect of HPMA copolymer-cyclopamine conjugate on prostate cancer stem cells. Biomaterials 33, 1863–1872. doi: 10.1016/j.biomaterials.2011.11.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., Yang, J., Rhim, J. S., and Kopecek, J. (2013). HPMA copolymer-based combination therapy toxic to both prostate cancer stem/progenitor cells and differentiated cells induces durable anti-tumor effects. J. Control. Release. 172, 946–953. doi: 10.1016/j.jconrel.2013.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, H., Chen, H., Zeng, X., Wang, Z., Zhang, X., Wu, Y., et al. (2014). Co-delivery of chemotherapeutic drugs with vitamin E TPGS by porous PLGA nanoparticles for enhanced chemotherapy against multi-drug resistance. Biomaterials 35, 2391–2400. doi: 10.1016/j.biomaterials.2013.11.086

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, S., Niu, M., O'Mary, H., and Cui, Z. (2013). Targeting of tumor-associated macrophages made possible by PEG-sheddable, mannose-modified Nan particles. Mol. Pharm. 10, 3525–3530. doi: 10.1021/mp400216r

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhuang, W., Li, B., Long, L., Chen, L., Huang, Q., and Liang, Z. (2011). Induction of autophagy promotes differentiation of glioma-initiating cells and their radiosensitivity. Int. Cancer J. 129, 2720–2731. doi: 10.1002/ijc.25975

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuris, J. A., Thompson, D. B., Shu, Y., Guilinger, J. P., Bessen, J. L., Hu, J. H., et al. (2015). Cationic lipid-mediated delivery of proteins enables efficient protein-based genome editing in vitro and in vivo. Nat. Biotechnol. 33, 73–80. doi: 10.1038/nbt.3081

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: CSCs, nanomedicine, immunotherapy of cancer, nanocarrier, drug resistance of CSC, autophagy, tumor suppressor protein p53

Citation: Singh VK, Saini A and Chandra R (2017) The Implications and Future Perspectives of Nanomedicine for Cancer Stem Cell Targeted Therapies. Front. Mol. Biosci. 4:52. doi: 10.3389/fmolb.2017.00052

Received: 03 April 2017; Accepted: 07 July 2017;
Published: 21 July 2017.

Edited by:

Luigi Bonacina, Université de Genève, Switzerland

Reviewed by:

Stefano Leporatti, CNR Nanotec-Istituto di Nanotecnologia, Italy
Ciaran Manus Maguire, University of Dublin, United Kingdom

Copyright © 2017 Singh, Saini and Chandra. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Vimal K. Singh, dmltX2tpc3NvckB5YWhvby5jby5pbg==; dmltYWxraXNob3JzaW5naEBnbWFpbC5jb20=; dmltYWxrc2luZ2hAZGNlLmFjLmlu

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