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REVIEW article

Front. Genet., 08 September 2023
Sec. Human and Medical Genomics
This article is part of the Research Topic Cell Cycle and Malignant Diseases View all 4 articles

Characterization and therapeutic perspectives of differentiation-inducing therapy in malignant tumors

Kangwei Zhu&#x;Kangwei Zhu1Yuren Xia&#x;Yuren Xia1Xindi Tian&#x;Xindi Tian1Yuchao HeYuchao He1Jun ZhouJun Zhou2Ruyu HanRuyu Han1Hua GuoHua Guo1Tianqiang Song
Tianqiang Song1*Lu Chen
Lu Chen1*Xiangdong Tian
Xiangdong Tian1*
  • 1Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
  • 2Department of Biofunction Research, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University (TMDU), Chiyoda, Japan

Cancer is a major public health issue globally and is one of the leading causes of death. Although available treatments improve the survival rate of some cases, many advanced tumors are insensitive to these treatments. Cancer cell differentiation reverts the malignant phenotype to its original state and may even induce differentiation into cell types found in other tissues. Leveraging differentiation-inducing therapy in high-grade tumor masses offers a less aggressive strategy to curb tumor progression and heightens chemotherapy sensitivity. Differentiation-inducing therapy has been demonstrated to be effective in a variety of tumor cells. For example, differentiation therapy has become the first choice for acute promyelocytic leukemia, with the cure rate of more than 90%. Although an appealing concept, the mechanism and clinical drugs used in differentiation therapy are still in their nascent stage, warranting further investigation. In this review, we examine the current differentiation-inducing therapeutic approach and discuss the clinical applications as well as the underlying biological basis of differentiation-inducing agents.

1 Introduction

Cancer is a major public health issue globally, and is one of the leading causes of death in both developing and developed countries (Bray et al., 2021; Sung et al., 2021). According to the Global Cancer Statistics 2020, 19.3 million new cases of cancer were projected worldwide, of which 10.0 million died (Sung et al., 2021). In developed countries, taking the United States as an example, 1,958,310 new cancer cases and 609,820 cancer deaths are estimated to occur in 2023 (Siegel et al., 2023). In a developing country like China, for instance, the results indicated that 4,292,000 new cancer cases and 2,814,000 cancer deaths were estimated to occur in 2015 (Chen et al., 2016). The cancer burden has risen globally, of which is expected to be 28.4 million cases in 2040 (Sung et al., 2021). Although available treatments, including surgery, chemotherapy, radiation, targeted therapy and immunotherapy, improve the survival rate of some cases, many advanced tumors are insensitive to these treatments (Qiu et al., 2021). Besides, traditional therapies would destroy the normal cells and tissues inevitably, which produce serious toxic side effects (Jin et al., 2020). Cancer cell differentiation involves reverting the malignant phenotype back to its original state, with the potential for trans differentiation to cell types characteristic of other tissues. Utilizing differentiation or trans differentiation as a strategy in high-grade tumor masses can offer a less aggressive approach to restrict tumor progression and enhance sensitivity to chemotherapy. A prime illustration of success is seen in the treatment of acute promyelocytic leukemia (APL), where the combination of retinoic acid (RA) and arsenic has achieved remarkable curative outcomes. Compared to traditional treatment, differentiation inducing therapy induces malignant cells re-differentiate into normal cells, without killing cells, avoiding toxic and side effects (Jin et al., 2020).

Cancer cell growth is characterized by a dysfunction in the normal process of cell proliferation, apoptosis, and terminal differentiation. The activation of specific pathways in normal cells induces cell differentiation, the process of acquiring phenotypic characteristics of mature fate, accompanied by a cessation of proliferation (Coffman, 2004; Kawamata et al., 2003; Kawamata et al., 2004). This abnormal differentiation results in rapid malignant proliferation of cancer cells. Differentiation-inducing therapy has been demonstrated to be effective in a variety of tumor types. Although an appealing concept, the mechanism and clinical drugs used in differentiation-inducing therapy are still in their nascent stage, warranting further investigation.

In this review, we examine the current differentiation-inducing therapeutic approach and discuss the clinical applications as well as the underlying biological basis of differentiation-inducing agents.

2 Overview of differentiation-inducing therapy

2.1 Relationship between differentiation and tumors

Differentiation ensures the specificity of morphology, function, and other characteristics in a developing cell. Dedifferentiation implies a dysfunction in cells and is characterized by loss of unique cell structure and function, owing to which cells transform into undifferentiated cells; for instance, normal stem cells differentiate abnormally to form tumor cells. Reportedly, differentiation arrest of the neural-crest-derived sympathoadrenal lineage has been found to result in neuroblastoma (NB) formation. Similarly, abnormal differentiation in hepatocyte progenitor cells result in hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) with markers of progenitor cells (Sia et al., 2017; Zeineldin et al., 2022). Depending on the degree of tissue differentiation, tumors can be classified as highly, intermediately, and poorly differentiated carcinoma.

It is crucial to assess the status of solid tumor differentiation because undifferentiated histology is typically associated with tumor aggressiveness and poor prognosis. In this aspect, cell lines of various human solid tumors, such as NB, glioma, retinoblastoma (RB), pheochromocytoma, breast cancer, colon cancer, lung cancer, pancreatic cancer, cervical cancer, and laryngeal cancer, as well as the induction of cancer cell differentiation through differentiation inducers provide some information on the targets and markers for future differentiation-inducing therapy (Ebert and Salcman, 1994; Fassina et al., 1997; Guzhova et al., 2001; Munster et al., 2001; Vaudry et al., 2002; Lévy et al., 2003).

2.2 Origin of differentiation-inducing therapy

There are some connections in differentiation between normal cells and malignant tumor cells. For instance, hepatocytes are proposed to dedifferentiate into hepatocyte precursor cells, which then transform into HCC cells. At the same time, the hepatocyte precursor cells transdifferentiate to form the ICCs (Sia et al., 2017). This may explain the context-dependent consequences of differentiation on cellular processes and a better understanding of such mechanisms can help selectively target dedifferentiation for therapeutic purposes.

In the context of differentiation therapy, hormones or cytokines have been found to promote differentiation in vitro, thereby irreversibly modifying the phenotype of cancer cells (de Thé, 2018). In oncology, differentiation-inducing therapy refers to reactivating the differentiation of tumor cells via pharmacological intervention, which eventually results in tumor cell maturation and loss of malignant characteristics (Lotem and Sachs, 1988). Pathologists first noticed that tumor cells resembled immature cells in developing tissues a century ago, when they discovered a link between tumorigenesis and cell differentiation blockade (Telloni, 2017). In 1960, Pierce et al. demonstrated the self-differentiation of teratoma cells in vivo and in vitro, causing tumors to develop in a benign direction. This was the first time the idea of limiting tumor progression by inducing cell differentiation was advocated (Lotem and Sachs, 1988). In 1971, Friend et al. discovered that dimethyl sulfoxide could induce differentiation in mouse erythrocyte cells, establishing a precedent for further studies on tumor differentiation-inducing therapy (Joshi et al., 1985). Since then, a series of differentiation regulators, including retinoic acids, granulocyte-macrophage colony-stimulating factor, and interleukin-3, have been used in several tumor types such as osteosarcoma, acute myeloid leukemia (AML), pancreatic cancer, liver cancer, and NB (de Thé, 2018).

2.3 Relationship between differentiation disorders and tumorigenesis

With increasing advances in cancer pathophysiology, the understanding of areas of carcinogenesis and cancer development has improved. Reportedly, cancer is mediated by the action of several pathways that causes normal cells to become tumorigenic and proliferate, leading to tumor growth (Hanahan and Weinberg, 2000; Hanahan and Weinberg, 2011). The development, differentiation, and organization of cells into tissues to assume homeostatic function are accompanied by final differentiation during organogenesis. The result of cell differentiation is non-proliferation in most cases, which is in contrast to the continuous proliferation required for tumorigenesis. Growing evidence suggests that cells acquiring more cellular phenotypic plasticity and avoiding end-differentiation play important roles in tumor development (Yuan et al., 2019). Cell phenotypic plasticity is defined as the cell’s ability to reprogram and change its phenotypic characteristics, primarily dedifferentiation, trans-differentiation, and differentiation block, which can occur during multiple life processes such as embryonic development, tissue regeneration, wound healing, and tumor formation (Neftel et al., 2019). Tumorigenesis and its malignant development can result from a disruption the normal differentiation of progenitor cells to mature cells in many ways (Hanahan and Weinberg, 2011; Neftel et al., 2019).

Dysfunction of cell differentiation is strongly related to tumor development, and the level of differentiation correlates with the prognosis for tumor development. A well-known example is NB, which is a tumor derived from the sympathetic adrenal lineage, where fewer cases are caused by somatic gene mutations and most are caused by impaired development of neuro crest cells (Cheung and Dyer, 2013; Matthay et al., 2016). Moreover, NB cells can differentiate into mature neurons spontaneously or following drug exposure (Raman and Raman, 2018). Additionally, it has long been established that chromosomal translocations are the primary cause of acute promyelocytic leukemia (APL), these translocations prevent myeloid progenitor cells from undergoing terminal differentiation, owing to which the cells develop into granulocytes (Warrell et al., 1993; He et al., 1999).

An inverse association has been demonstrated between tumor cell differentiation and prognosis in several cancer types. As a result, therapies that induce tumor cell differentiation, to some extent, have been developed. For example, in NB, the type of differentiation affects the prognosis of patients (Maris, 2010). For patients with a well-differentiated tumor type and other biologic factors indicating a good prognosis, there exists a possibility of spontaneous regression of the cancer (Matthay, 1998). Even if cancer metastasizes to the liver, skin, and bone, low-dose radiotherapy, chemotherapy, or observational therapy can achieve a cure rate of >90% in this group of patients (Pinto et al., 2015). Conversely, patients with poorly differentiated types have poor outcomes, even after undergoing high-intensity treatment strategies, with a 5-year survival rate of <50% (Ladenstein et al., 2017; Amoroso et al., 2018).

3 Status of differentiation-inducing therapy

Compared with traditional cancer treatments such as chemotherapy, differentiation-inducing therapy is still in the early stages of treating malignant tumors. One reasons for this is a lack of recognized diagnostic targets or markers for inducing differentiation.

3.1 Application of retinoic acid in differentiation-inducing therapy

It is well-known that vitamin A promotes eye health. In addition, retinoic acid (RA; active form of vitamin A) exhibits antioxidant effects and gene transcriptional regulatory effects. It additionally maintains epithelial cell structure, cell growth, and cell differentiation (Takahashi et al., 2022). Liver, serving as storage organ of retinoids in body, regulates the retinol level in plasma (Chlapek et al., 2018). RBP4 transports retinol during cellular uptake and efflux, through receptors stimulated by retinoid acid 6 (STRA6). Retinol could be enzymatically activated to retinal, and which is then oxidized into retinoic acid by the isoforms of aldehyde dehydrogenase 1 (ALDH 1), specifically ALDH1A1, ALDH1A2, and ALDH1A3. The main transport way of retinol acid through the cell and into nucleus employs cellular retinoic acid binding proteins (CRABP) (Chlapek et al., 2018). When ligands existing, retinoic acid delivered by CRABP to retinoic acid receptor (RAR) or retinoic X receptor (RXR) or to others such as peroxisome proliferator-activated receptors (Chlapek et al., 2018). The expression of over 500 genes is up or downregulated by RA (Mezquita and Mezquita, 2019). Then retinoic acid regulates cellular activities including differentiation (Dobrotkova et al., 2018).

Members of the retinoid family, including vitamin A and its derivatives, such as 13-cis retinoic acid (13-cis RA) and all-trans-retinoic acid (ATRA), are well-established in the differentiation-inducing therapy. As we stated before, RA induces differentiation through RA receptors by recognizing and binding to DNA sequences to initiate target gene transcription (Takahashi et al., 2022). RA is tuned by the heterodimers formed by RAR and RXR, then targeting at many genes by RAR or RA itself. For instance, BTG2 is a direct target of RAR, induced by RA, which induces neuronal differentiation (Janesick et al., 2015). In addition to BTG2, RA potentially facilitates other genes, such as ERF, ETV3, which all participate in cell cycle and differentiation (Janesick et al., 2015).

It is discovered that the characteristic t(15:17) translocation of APL is within the locus encoding RARα, which results in the generation of the fusion of PML and RARα (Giguère and Evans, 2022). Several studies have assessed the role of ATRA as a differentiation-inducing therapy in APL (Huang et al., 1988; Warrell et al., 1991). Although ATRA therapy is currently considered the most effective treatment for APL, the exact molecular mechanism underlying its effect is unknown. APL is considered a promyelocytic leukemia protein (PML)-retinoic acid receptor-a (RARa) derived cancer, and the majority of APL cases are induced by a specific t(15,17) chromosomal translocation encoding the PML–RARα fusion protein (de Thé, 2018). This tumor protein is produced by the fusion of retinal, a gene on chromosome 17, and PML on chromosome 15 (Kakizuka et al., 1991). PML-RARa has been identified as one of the targets for APL to induce differentiation using ATRA (Kakizuka et al., 1991). RA targets APL by binding the RARa of the PML-RARa fusion protein, resulting in the dissociation of co-repressors and subsequent differentiation, thus driving complete remission (de Thé, 2018). In addition, APL research has identified other RARa fusion genes including, PLZF on chromosome 11, NPM on chromosome 5, and NuMA on chromosome 11 (Melnick and Licht, 1999). These findings, therefore, have important implications for identifying potential biomarkers of APL before using ATRA therapy and further promote the development of differentiation-inducing therapy in APL.

In addition to vitamin A derivative, retinal acid, a cocktail of ATRA, TGFβ inhibitors, GSK3β inhibitors, and H3K9 methyltransferase/G9a inhibitors have been successfully used to induce differentiation, including hepatoma cell lines, primary hepatoma cells, liver cancer stem cells, and drug resistant hepatoma cells (Zhang et al., 2022a). Similarly, studies have revealed that using RA in breast adenocarcinoma can promote breast cancer stem cell differentiation and loss of self-renewal ability as well as block the stemness of cancer cells, which reduces their invasion and metastasis (Biswas et al., 2019). In addition, Roghayeh et al. reported that culturing breast cancer cells using senescent cell culture supernatant and fibroblast supernatant can downregulate the expression of stem markers such as OCT4, SOX2, NANOG, and C-MYC, result in enhanced differentiation of breast cancer cells (Pourbagher et al., 2020).

Furthermore, vitamin A derivatives can suppress the proliferation of NB cells while promoting neurite formation, which is another example of differentiation induction therapy in solid tumors. Reportedly, pretreatment of NB cells with tretinoin before inoculation reduces tumor growth rate and volume as well as significantly reduces tumor formation rate, compared with control treatment (Abemayor et al., 1990; Ni et al., 2019). In patients with minimal residue high-risk NB, the use of 13-cis RA can improve the progression-free survival rate of patients by approximately 15%(Massó-Vallés et al., 2020). Reportedly, silencing MYCN promotes NB differentiation, and thus, maintenance therapy with 13-cis RA can downregulate MYCN expression and induce neuronal differentiation in NB cells(Massó-Vallés et al., 2020).

3.2 Role of MYCN in cell differentiation

MYCN gene, as previously stated, plays a key regulatory function in the genesis and progression of neuroblastoma. Members of the oncogene MYC family include c-MYC, N-MYC and L-MYC. c-MYC, called cellular MYC, was discovered as the cellular homologue of v-myc. L-MYC, called lung carcinoma derived homolog MYC, is located on chromosome 1 (1p32). MYCN (or N-MYC), called neuroblastoma derived homolog MYC, is located on chromosome 2 (2p24) (Massó-Vallés et al., 2020). MYC family members are transcription factors for the expression of many target genes, which in turn regulate the basic life course of cells, including functions such as cell proliferation, protein synthesis, metabolism, apoptosis, and differentiation (Kohl et al., 1983; Schwab et al., 1983; Eilers and Eisenman, 2008). The MYC proteins bind to E-box sequences (CACGTG) in a heterodimeric complex with Max. This dimer recruits a lot of transcriptional factors, then inducing differentiation (Westermark et al., 2011).

Amplification of the MYCN gene is one of the few indicators of poor prognosis in neuroblastoma, and MYCN amplification is common in individuals with high-risk NB, accounting for roughly 20% of primary NB (Schnepp and Maris, 2013). Even in NB patients with other favorable prognosis, MYCN gene amplification predicts poor mortality in 15%–35% of patients (Seeger et al., 1985; Westermann et al., 2008). Furthermore, patients with high-risk NB who do not have MYCN amplification frequently have higher c-MYC expression (Westermann et al., 2008). All of these indicates that MYCN signaling is crucial in maintaining an undifferentiated phenotype, and MYCN can be used as one of the basis and evaluation indicators for the application of 13-cis RA-induced differentiation treatment for neuroblastoma.

As we stated before, amplification of MYCN results in cancer malignancies such as cell cycle arrest in G1 phase and morphological differentiation, so targeting MYCN is a promising therapy (Westermark et al., 2011). The MYCN pathway could be targeted in different ways to go through differentiation-inducing. The use of RNA interference targeting MYCN is used as a clinical strategy, and it is found that some molecules interfering with the c-MYC-Max could induce differentiation (Westermark et al., 2011). In addition, targeting downstream of MYCN pathway is a reliable way to induce differentiation.

NDRG2, the downstream regulatory gene of MYCN, is a member of the NDRG family and plays a crucial role in controlling the differentiation and proliferation of colorectal cancer (CRC) cells (Derwinger et al., 2010). Reportedly, CRC is characterized by aberrant differentiation, and CRC with poor differentiation is more aggressive and has a higher proliferative and metastatic capacity, which contribute to a higher negative impact on survival and prognosis (Bienz and Clevers, 2000). NDRG2 is a tumor suppressor, that is, downregulated in a variety of malignancies and is associated with the tumor differentiation stage (Lorentzen et al., 2007). It has been demonstrated to induce tumor cycle arrest by blocking the activity of the E3 ligase Skp2, thereby driving the differentiation of CRC cells. This suggest that NDRG2 may be a critical biomarker for CRC differentiation (Shen et al., 2018).

Poorly differentiated HCC is characterized by liver progenitors, is typically aggressive, and has a poor clinical prognosis (Lee et al., 2006). In their study, Qian Yan et al. developed an in vitro hepatocyte differentiation model to simulate liver development and HCC progression (Liu et al., 2020). They found that high expression of PGC7/DPPA3, a member of the developmental pluripotency-associated protein family, can promote HCC cell dedifferentiation and maintain an epigenetic status suitable for liver progenitor cells, resulting in liver cancer metastasis and poor prognosis. Reportedly, PGC7 and GLI1/MYCN are positively correlated with differentiation markers. Therefore, inhibiting PGC7/GLI1/MYCN may reverse the poorly differentiated hepatoma cells, inducing a potential therapeutic strategy of differentiated-inducing therapy in patients with liver cancer (Yan et al., 2021).

MYCN modulation has additionally been documented in the literature in neuroendocrine prostate cancer (NEPC), rhabdomyosarcoma, and glioma differentiation therapy (Estiar et al., 2017; Liu et al., 2019; Laubscher et al., 2021). Roghayeh et al. discovered that the downregulation of c-MYC expression in breast cancer cell culture by inducing higher differentiation of cancer cells (Pourbagher et al., 2020). More than 70% of human cancers have abnormal MYC expression, which is associated with poor prognosis and aggressiveness (Pelengaris et al., 2002; Vita and Henriksson, 2006). Therefore, owing to the characteristics of MYC overexpression in malignancies and its widespread role in transcription regulation, it is regarded as an ideal therapeutic target. Because the MYC family performs a dual role in normal and malignant cells, targeting the MYC protein is difficult. Furthermore, because antibodies to MYC are not easily available due to the lack of typical small molecule-bound enzyme capsules and MYC location in the nucleus, no specific medicines can directly target MYC (Wang et al., 2021).

3.3 Other targets and markers of cell differentiation

Although MYC protein is involved in several physiological processes, such as cell differentiation, it cannot be used to promote differentiation in most tumors. Thus, there is a lack of gold standards for differentiation markers, and this topic has piqued the curiosity of researchers.

Histone deacetylase (HDAC) is a large class of epigenetic metalloenzyme that are involved in gene transcription and regulation; proliferation, differentiation, migration, death and angiogenesis (Guerriero et al., 2017). Following extensive research on their role in anti-tumor proliferation, HDAC inhibitors are being utilized in tumor treatment. Specifically, HDAC1 and HDAC2 have been reported to play roles in NB cell differentiation. A few HDAC inhibitors do not have a high differentiation-inducing effect when administered alone; therefore, they are combined with 13-cis RA to considerably increase their differentiation activity (Coffey et al., 2001; Rettig et al., 2015). Furthermore, selective differentiation therapy with some HDAC inhibitors has been documented for breast cancer, liver cancer, and AML (Ji et al., 2019; Mody et al., 2021; Salmon et al., 2022).

Bromodomain-containing 4 (Brd4) belongs to the bromine-containing domain and the Bromodomain and Extraterminal family and regulates cell transcription by interacting with acetylated histones (Filippakopoulos et al., 2010). Brd4 acts as an oncogene in the development of cancers, such as squamous cell carcinoma, leukemia, CRC, and breast adenocarcinoma by detecting DNA damage, activating, repairing, and maintaining telomeres (French et al., 2003; Wu and Chiang, 2007). Reportedly, in AML, inhibition of Brd4 causes end-myeloid differentiation and leukemia stem cell elimination (Zuber et al., 2011). Moreover, the Brd4 inhibitor ZBC-260 has been found to downregulate the expression of c-MYC, Bcl2, and c-MYC-related genes to reduce pituitary tumorigenesis (Shi et al., 2020). Shan Zeng et al. demonstrated that Brd4 plays an important role in plasma cell differentiation by regulating the expression of B lymphocyte-induced maturin 1 (Liu et al., 2018).

The enhancer of zeste homolog 2 (EZH2) is a catalytic component of multicomb group protein 2, that is, involved in hematopoietic stem cell proliferation and differentiation, thymogenesis, and lymphomatogenesis (Yamagishi and Uchimaru, 2017). EZH2 mutations are associated with the development of gastric, breast, prostate, and liver cancers as well as melanoma. Moreover, EZH2 suppression or knock-out causes significant alterations in neurite extension and upregulates neuronal differentiation markers, which enhance the expression of tropomyosin receptor kinase, and further induce NB cell differentiation (Li et al., 2018). Berberine inhibits cell proliferation and accelerates NB cell differentiation by inhibiting EZH2 expression (Naveen et al., 2016). Moreover, EZH2 suppresses proliferation checkpoint genes and generates a bivalent chromatin domain at the critical regulatory sites to temporarily limit germinal center B cell development (Béguelin et al., 2013).

The tyrosine kinase receptor regulates several of biological activities such as proliferation, differentiation, migration, and metabolism (Lemmon and Schlessinger, 2010). The overexpression or activation mutations of ALK frequently cause malignant proliferation and differentiation disorders in tumor cell (Carén et al., 2008; Heukamp et al., 2012). Reportedly, ALK mutations or amplifications have been found in approximately 14% of high-risk patients with NB, and a few studies have shown that ALK alone or in combination with other agents can induce NB differentiation (Brodeur et al., 2009). In addition, considering ALK stimulates central and peripheral nerve development, ALK inhibitors have been found to play a role in the maturation of non-small cell lung cancer because (Defaye et al., 2022). As plasma cell differentiation differs between diffuse large B-cell lymphoma and multiple myeloma, as well as a greater chance of MYC and ALK mutations, the inhibitors to stimulate plasma cell differentiation are available (Montes-Moreno et al., 2012). NEPC has a poor prognosis, is an aggressive subtype of prostate cancer, and is often accompanied by MYCN application. In contrast, both ALK activation and MYCN amplification are well-known drivers in NB. However, the mechanism and therapeutic targets of NEPC are comparable to those of NB. Unno et al. (2021) discovered that the co-activation of ALK and MYCN induces NEPC by inducing the Wnt/β-catenin pathway, which is a major target for triggering differentiation.

Given the enormous number of cancers associated with differentiation, it is surprising that MYCN and other contemporary differentiation-related markers are not being widely used. It is additionally surprising, as these markers overlap in various malignancies. As a result, it is critical to understand the process of tumor cell differentiation and to seek both the gold standard for cell differentiation as well as serological or histologic indications of malignancy.

4 Mechanism of differentiation of malignant tumors

4.1 Cell cycle and differentiation

Several studies have revealed that the cell cycle regulates stem cell differentiation (Engström, 2021). Cell terminal differentiation is intimately linked with the cell cycle, particularly with transition in dividing cells (Soufi and Dalton, 2016). The cell cycle is divided into four stages: gap 1 (G1) stage, DNA synthesis (S) stage, gap 2 (G2) stage, and mitosis (M) stage. The passage between mitosis and the G1 phase allows for differentiation (Engström, 2021). After receiving signals, stem cells undergo alterations in the G1 phase (Dalton, 2015; Gao and Liu, 2019), losing pluripotency throughout the S and G2 phases (Gao and Liu, 2019). The progression of the G1 phase is considered one of the mechanisms of differentiation regulation (Ruijtenberg and van den Heuvel, 2016). A prolonged G1 phase is thought to promote the components required for cell differentiation, whereas a short G1 phase limits the influence of differentiation signals and leads to pluripotency (Dalton, 2015; Liu et al., 2019). Compared with somatic cells, stem cells have a distinct cell cycle characterized by a quick cycle and a brief G1 phase (Kareta et al., 2015). In mammals, undifferentiated cells have an unusual cell cycle with a short G1 phase; they even lack G1 and G2 phases that are seen in some other animals, such as flies, frogs and zebrafish (Ruijtenberg and van den Heuvel, 2016).

Cyclins and a variety of cyclin-dependent kinases (CDKs), which phosphorylate the substations during the cell cycle, regulate all stages of cell cycle progression (Soufi and Dalton, 2016; Wood and Endicott, 2018; Liu et al., 2019). The knockdown of CDK1, CDK2, cyclin E, or B1, as well as the treatment of CDKI lead to cell differentiation and loss of pluripotency (Liu et al., 2019). During the G1 phase, CDKs govern cell cycle progression by phosphorylating RB family proteins during the restriction (R-) point (Soufi and Dalton, 2016). Mitogens and growth factors can induce the expression of D-type cyclins (cyclin D) and activate CDK4 or CDK6, thus regulating the cell cycle (Ruijtenberg and van den Heuvel, 2016). Cyclins bind, activate, and provide substrate specificity to CDKs and then form the CDK-cyclin complex (Liu et al., 2019). CDK4/6-cyclin D hypophosphorylates the members of the RB tumor suppressor protein family, thus reducing the repression level of E2F/DP, which is correlated with pRb (Ruijtenberg and van den Heuvel, 2016). The commencement of E2F transcription induces cyclin E and additional cyclin genes (Ruijtenberg and van den Heuvel, 2016). Subsequently, cyclin E binds to CDK2 and further phosphorylates pRb, releasing E2F and causing the cells to enter the S phase (Ruijtenberg and van den Heuvel, 2016). Except for cyclins and CDKs, all other biomarkers regulate differentiation by acting on the cell cycle (Ruijtenberg and van den Heuvel, 2016). Specifically, the CDK inhibition protein (CDKI) can prevent cells from progressing from the G1 to S phase (Ruijtenberg and van den Heuvel, 2016). In most cases, CDKI overexpression suppresses CDK during the G1 phase, as well as the hypophosphorylation of RB family proteins, which decreases E2F target genes and leads to terminal differentiation (Soufi and Dalton, 2016). For example, PINK inhibitors, like p15 and p16, are a type of CDKI that bind specifically to CDK4/6 to block its activation (Ruijtenberg and van den Heuvel, 2016). Another type of CDKI, the Cip/Kip family (includes p25 and p27) has a negative effect on the regulation of CDK2-cyclin E (Ruijtenberg and van den Heuvel, 2016). The balance of CDK and transcription factors that influence the cell cycle dictates how cells are fated (Soufi and Dalton, 2016). Upstream E3 ligases, including the Anaphase Promoting Complex/Cyclosome in collaboration with the FZR1/Cdh1 coactivator, and Skp1, Cullin, F-box factor (SCF) complexes, control the cell cycle by ubiquitin-dependent protein degradation (Ruijtenberg and van den Heuvel, 2016). When combined with FBW7, cyclin E degenerates and inhibits cell cycle progression (Ruijtenberg and van den Heuvel, 2016). However, when SCF binds to Skp2, it degrades p21 and p27 and promotes entry into the cell cycle (Ruijtenberg and van den Heuvel, 2016).

CDKs repress the differentiation transcription factors MYOD and NGN2 during skeletal myogenesis and neurogenesis, allowing cells to proliferate while limiting their differentiation. Additionally, blocking CDKs was found to induce the spontaneous differentiation of pluripotent stem cells (PSCs) (Soufi and Dalton, 2016). Cyclins were previously thought to assist CDK in cell differentiation; however, they can govern cell differentiation independently (Wood and Endicott, 2018). Treatment with CDK1, CDK2, cyclin E or B1, and CDKI all result in differentiation (Liu et al., 2019). Furthermore, it has been found that cell cycle regulation is not limited to the G1 phase; the G2 phase additionally affects cell cycle and differentiation regulation.

Evidence suggests that in AML, the cell cycle is correlated with cancer cell differentiation; the early stage of cell development is inhibited, which results in cancer development (Hu and Zuckerman, 2014). Reportedly, ATRA and vitamin D3 induce AML differentiation, that is, accompanied by the downregulation of CDK2, CDK6, c-MYC, and cyclin E and the upregulation of a series of CDKIs as well as a high level of pRb, especially p21 and p27 (Hu and Zuckerman, 2014). The downregulation of c-M can inhibit the G0/G1 phase, downregulate CDKs and upregulate p27, all of which inhibit cell differentiation (Hu and Zuckerman, 2014). Moreover, pRb can promote the differentiation of leukemia cells (Hu and Zuckerman, 2014). Furthermore, CDK-activating kinase (CAK) can interact with RARa, and the inhibition of CAK by ATRA leads to hypophosphorylation of AML-RARa, which finally results in APL cell differentiation (Hu and Zuckerman, 2014).

4.2 Hypoxia and cell differentiation

In addition to affecting the cell cycle, hypoxia has been shown to influence cell differentiation. Hypoxia is a clinical condition that can lead to cellular dysfunction and death as well as activate molecular pathways in multiple stem cells, promoting their state of differentiation (Mitroshina et al., 2021). Reportedly, pluripotent stem cells and differentiated cells differ with regard to a lack of traits such as low ATP/cell content and a high rate of oxygen consumption (Atashi et al., 2015; Bao and Wong, 2021). Tissue hypoxia plays a crucial role in the development of stem cells; it facilitates embryonic stem cells (ESC) and induced pluripotent stem cells (iPSC) (Podkalicka et al., 2020). It has been demonstrated that hypoxia inhibits the differentiation of hESCs (Vieira et al., 2011), as well as maintains an undifferentiated state of cancer cells, and promotes the formation and maintaining of CSCs (Yang et al., 2020). In NB and breast tumor cells, hypoxia induces de-differentiation to a stem cell-like phenotype (Mohlin et al., 2017). Thus, hypoxia plays an important role in maintaining the differentiation state of stem cells and blocking their differentiation.

Hypoxia influences the differentiation primarily through two mechanisms: hypoxia inducible factor 1 (HIF) family modulation and reactive oxygen species (ROS) production. HIF, a vital regulator of hypoxia, is a heterodimer composed of α and β subunits that regulate over 700 genes, with HIF-1α primarily modulating differentiation in hypoxic conditions (Podkalicka et al., 2020; Mitroshina et al., 2021). Hypoxia can additionally induce HIF-1α, which is essential for reacting to low oxygen stress via a variety of transcriptional programs (Palazon et al., 2014; Xie et al., 2019), including proliferation, migration, and differentiation (Hadanny and Efrati, 2020). In contrast, HIF levels normalize following the regulation of oxygen conditions by a few molecules. In low-oxygen settings, the prolyl hydroxylase domain (PHD) protein is stable and functions as a transcription factor that control genes in oxygen-depleted conditions and mediates O2-dependent degeneration of HIF-1a (Lin et al., 2006). However, HIF-1a can be hydroxylated and degraded by PHD under normal oxygen levels (Hadanny and Efrati, 2020). Factor inhibiting HIF is another factor that inhibits the transcriptional activity of HIF-1α by hydroxylation (Cejudo-Martin and Johnson, 2005). Generally, hypoxia activates HIF-1α by inducing differentiation regulation. Under hypoxic settings, HIF-α stabilizes and heterodimerizes with HIF-β, which activates HIF transcription factors. These factors induce gene expression after binding to the hypoxia response element, which includes the vascular endothelial growth factor receptor (VEGFR) and its upregulated receptors (Podkalicka et al., 2020). This result in early osteogenic differentiation and vascular differentiation of ESCs/iPSCs (Podkalicka et al., 2020; Zhang et al., 2022b). Additionally, the negative regulator c-MYC is induced under severe and mild hypoxia and is regulated by HIF-1a (Podkalicka et al., 2020). The knockdown of HIF-2a has been found to downregulate CXCR4, OCT4, SOX2, and NANOG, which are vital transcription factors for pluripotency, and function along with the upregulation of the differentiation marker SSEA1 (Lin et al., 2006; Podkalicka et al., 2020). Thus, in hypoxic conditions, deficiency of HIF suppressors induces HIF-1a hydroxylation, resulting in the overexpression of transcription factors, such as c-MYC and VEGR, to regulate differentiation.

ROS is an oxygen-derived small molecular involved in progression of cancer cells, mainly from mitochondrial electron transport systems, such as NADPH oxidases, xanthine oxidase, cytochrome P450, nitric oxide synthases, lipoxygenases, heme oxygenase, cyclooxygenases, myeloperoxidase, and monoamine oxidases (Atashi et al., 2015). In solid tumors, hypoxic tissue promotes the formation of ROS, with evidence indicating that ROS has an effect on cell differentiation (Ebrahimi et al., 2020). In vitro, ROS is considered as a second messenger to regulate downstream signal cascades, including PI3K/AKT pathways, for inhibiting differentiation and cell cycle (Feng et al., 2019). Reportedly, ROS production influences MSC differentiation; suppresses Wnt/b-catenin, MAPK (NELL-1), and Hh signaling that control osteoblast differentiation; and induces adipogenesis by FOXO, PPARγ, and CEBPs signaling (Atashi et al., 2015).

4.3 Metabolism and cell differentiation

Metabolic pathways are critical areas of cell differentiation and provide signals to the stem cells for self-renewal and differentiation (Hu et al., 2016; Intlekofer and Finley, 2019). Reportedly, mitochondrial morphology and the transition from glycolysis to mitochondrial oxidative phosphorylation (OXPHOS) are characteristics of the state of differentiation (Hu et al., 2016; Sancho et al., 2016; Intlekofer and Finley, 2019). In addition, differentiation is regulated by glycolysis, OXPHOS and metabolites that regulate epigenetic changes (Shyh-Chang and Ng, 2017).

Cells that rapidly undergo proliferation, such as cancer and stem cells, undergo aerobic glycolysis to meet their energy requirement. This process, termed, the “Warburg effect”, provides cancer cells their pluripotency (Intlekofer and Finley, 2019). During differentiation, the amount of glucose, that is, catabolized by OXPHOS increases in proportion to that produced by the mitochondria. Conversely, metabolism additionally reverts from glucose oxidation by OXPHOS to major glycolysis during the reprogramming of somatic iPSCs (Kilberg et al., 2016). Glycolysis can be interrupted to alter the status of cancer cell differentiation. Specifically, reduced glycolytic lactate generation in the early stage reprograms differentiated cells to pluripotent cells (Intlekofer and Finley, 2019). Furthermore, lower glycolytic flow and decreased production of glycose-derived acetyl-CoA results in a rapid lowering of histone acetylation, resulting in a pluripotent state (Intlekofer and Finley, 2019).

As previously stated, mitochondrial ROS play a role in cell differentiation. As a metabolite, low levels of mitochondrial H2O2, an ROS, contributes to maintaining the pluripotency of PSCs, whereas high levels of H2O2 induce cell differentiation (Chakrabarty and Chandel, 2021). Like H2O2, ROS has a similar effect on different stem cells, including spermatogonial stem cells, neural stem cells (NSCs) and airway basal stem cells (Chakrabarty and Chandel, 2021). Certain metabolic changes improve the methylation status of DNA (Intlekofer and Finley, 2019). Cancer-related DNA hypermethylation and repressive histones suppress the gene involved in cell differentiation (Intlekofer and Finley, 2019; Chakrabarty and Chandel, 2021). For example, both S-adenosylmethionine (SAM) and branched chain amino acid transaminase (BCAT1) cause differentiation suppression. SAM directly influences methylation, and, BCAT1 overexpression depletes a-KG, which limits ten-eleven-translocation (TET) function that results in DNA methylation (Intlekofer and Finley, 2019). Moreover, lower threonine levels and the inhibition of threonine dehydrogenase might reduce SAM pools and methylation, resulting in altered differentiation (Intlekofer and Finley, 2019). In addition, several other metabolism-related mechanisms affect cell differentiation, and these include mitochondrial tricarboxylic cycle metabolism and electron transport chain (ETC) function; however, the exact mechanism underlying their effect is unclear (Chakrabarty and Chandel, 2021). Proline metabolism affects ESC differentiation, and its downstream metabolites act as signaling molecules that participate in stem cell differentiation (Kilberg et al., 2016). However, specific mechanisms require further exploration (Chakrabarty and Chandel, 2021).

5 Status of research on differentiation-inducing therapy

In 1960, Pierce et al. identified the self-differentiation ability of teratoma cells, paving the way for the investigation of differentiation-inducing treatment (Jin et al., 2020).Since then, research on specialized therapeutic medicines such as RA, cAMP, sodium butyrate and cytokines has made significant progress (de Thé, 2018). The development of differentiation inducers has made significant progress because of research into differentiation induction treatment. Differentiation-inducing therapy has become the standard treatment for APL, with cure rates exceeding 90% (Jin et al., 2020). Moreover, Differentiation therapy has proven beneficial in the treatment of NB and other malignancies (Jin et al., 2020). The medicines and targets researched for differentiation-inducing treatment are further discussed below.

One of the earliest differentiation inducers used was RA, an oxidative carotenoid generated from vitamin A (Dobrotkova et al., 2018). RAR and RXR are the two receptor families that bind to co-hinders to suppress downstream signaling in the absence of ligands (Jin et al., 2020). Binding of RA to RAR-RXR heterodimer induces differentiation (Jin et al., 2020). In addition, the derivatives of RA, such as ATRA, 9-cis RA, and 13-cis RA, have been assessed for their role as differentiation inducers (Takahashi et al., 2022). Differentiation-inducing treatment with RA has been examined in clinical trials and observational studies for several tumors, including APL, breast cancer, B-cell lymphoma, cervical carcinoma, Ewing’s sarcoma, cutaneous T-cell lymphoma, glioblastoma multiforme, hepatocellular carcinoma, glioma, and lung cancer (Lippman and Meyskens, 1987; Villablanca et al., 1995; Muto et al., 1996; Toma et al., 2000; Duvic et al., 2001; Vaishampayan et al., 2005; Villablanca et al., 2006; Hu et al., 2009; Schneider et al., 2009; Arrieta et al., 2010; Moore et al., 2010; Zapletalova et al., 2012; Tassara et al., 2014; Nijhof et al., 2015; Penas-Prado et al., 2015; Basu et al., 2016; Cowan et al., 2017). Arsenic trioxide is another single medicine that has been used as a differentiation inducer, and functions by stimulating malignant cell differentiation via PML-RARa degradation (Jin et al., 2020). As we stated before, a large number of clinical trials of differentiation-inducing therapy emerged, which presented different results during different clinical trials. We have listed the recent clinical trials of common types of cancers here in Table 1.

TABLE 1
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TABLE 1. Overview of the recent clinical trials of common types of cancers.

Furthermore, agents that block dedifferentiation targets have been found to exert a positive effect on differentiation. MYCN inhibitors, such as aurora A kinases MLN8054 and MLN8237, have been used as differentiation treatments, with MLN8237 achieving total tumor remission in mouse models (Jin et al., 2020). The ALK inhibitors TAE684, Trk inhibitors, lestaurtinib, and the MEK inhibitor cobimetinib all have been found to promote fractionation (Jin et al., 2020).

However, there are some disagreements regarding differentiation-inducing treatments. The majority of patients who receive differentiation-inducing treatment acquire resistance (Chlapek et al., 2018). Furthermore, differentiation-inducing agents, such as targeted medicines, have limitations (Jin et al., 2020) They only benefit a tiny percentage of patients, with “off-target” effects restricting their usage (Jin et al., 2020). In addition, ATRA and 13-cis RA are pan-RAR activators that draw attention away from the side effects of differentiation inducers. The long-term administration of natural retinoids is restricted by vitamin A toxicity, including liver and lipid abnormalities, dry skin, teratogenicity, and bone and connective tissue damage (Dobrotkova et al., 2018). Moreover, rather than reducing tumor development, differentiation inducers activate peroxisome proliferator-activated receptors, boost tumor mitosis, and induce anti-apoptotic activity, and indirectly promote tumor proliferation (Takahashi et al., 2022). In some cell types, RA antagonize cell differentiation and promote stemness, instead of induce cell differentiation (Mezquita and Mezquita, 2019). As a result, further investigation and development are required for differentiation inducers.

6 Summary and outlook

In conclusion, differentiation-inducing therapy may not only be a successful treatment but may also aid in identifying the root cause of tumor heterogeneity. Initial research has identified several targets and indicators linked with differentiation and has demonstrated the potential of differentiation in cancer treatment, which offers a foundation for the development of differentiation-inducing therapy. However, there exists no obvious and effective therapeutic target. Further investigation into the transfer of cell epigenetics is required to better understand the mechanism underlying cell differentiation. Research in the field of differentiation will focus on how to overcome the heterogeneity of various tumor cells, identify common or universal differentiation markers, induce the differentiation of various tumor cells, and further develop differentiation inducers to ensure the safety of differentiation-inducing therapy.

Author contributions

KZ: Writing–original draft, Formal Analysis, Investigation. YX: Writing–original draft, Investigation, Formal Analysis. XinT: Investigation, Writing–original draft. YH: Investigation, Writing–original draft. JZ: Formal Analysis, Investigation, Writing–original draft. RH: Investigation, Writing–original draft. HG: Investigation, Writing–original draft. TS: Funding acquisition, Writing–review and editing. LC: Funding acquisition, Writing–review and editing. XiaT: Funding acquisition, Writing–review and editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from the National Nature Science Foundation of China (Nos 81903055, 82173208, 82373365, 82173317, and 82103672), Natural Science Foundation of Tianjin, China (21JCQNJC01290) and Health Science and Technology Project of Tianjin, China (TJWJ2022MS008 and TJWJ2022QN105). Tianjin Key Medical Discipline (Specialty) Construction Project (No. TJYXZDXK-009A).

Acknowledgments

We thank patients and surgeons from the Tianjin Medical University Cancer Institute and Hospital for their contributions to this study. We also want to thank the tumor cell biology laboratory and the public laboratory of Tianjin Medical University Cancer Institute and Hospital. LC would also like to thank the financial support from Tianjin Medical University’s “123 Program” for cultivating clinical talents.

Conflict of interest

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Aass, N., De Mulder, P. H., Mickisch, G. H., Mulders, P., van Oosterom, A. T., van Poppel, H., et al. (2005). Randomized phase II/III trial of interferon alfa-2a with and without 13-cis-retinoic acid in patients with progressive metastatic renal cell carcinoma: the European organisation for research and treatment of cancer genito-urinary tract cancer group (EORTC 30951). J. Clin. Oncol. 23 (18), 4172–4178. doi:10.1200/JCO.2005.07.114

PubMed Abstract | CrossRef Full Text | Google Scholar

Abemayor, E., Chang, B., and Sidell, N. (1990). Effects of retinoic acid on the in vivo growth of human neuroblastoma cells. Cancer Lett. 55 (1), 1–5. doi:10.1016/0304-3835(90)90057-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Amoroso, L., Erminio, G., Makin, G., Pearson, A. D. J., Brock, P., Valteau-Couanet, D., et al. (2018). Topotecan-vincristine-doxorubicin in stage 4 high-risk neuroblastoma patients failing to achieve a complete metastatic response to rapid cojec: A siopen study. Cancer Res. Treat. 50 (1), 148–155. doi:10.4143/crt.2016.511

PubMed Abstract | CrossRef Full Text | Google Scholar

Arrieta, O., González-De la Rosa, C. H., Aréchaga-Ocampo, E., Villanueva-Rodríguez, G., Cerón-Lizárraga, T. L., Martínez-Barrera, L., et al. (2010). Randomized phase II trial of All-trans-retinoic acid with chemotherapy based on paclitaxel and cisplatin as first-line treatment in patients with advanced non-small-cell lung cancer. J. Clin. Oncol. 28 (21), 3463–3471. doi:10.1200/JCO.2009.26.6452

PubMed Abstract | CrossRef Full Text | Google Scholar

Atashi, F., Modarressi, A., and Pepper, M. S. (2015). The role of reactive oxygen species in mesenchymal stem cell adipogenic and osteogenic differentiation: A review. Stem Cells Dev. 24 (10), 1150–1163. doi:10.1089/scd.2014.0484

PubMed Abstract | CrossRef Full Text | Google Scholar

Bao, M. H., and Wong, C. C. (2021). Hypoxia, metabolic reprogramming, and drug resistance in liver cancer. Cells 10 (7), 1715. doi:10.3390/cells10071715

PubMed Abstract | CrossRef Full Text | Google Scholar

Basu, P., Jenson, A. B., Majhi, T., Choudhury, P., Mandal, R., Banerjee, D., et al. (2016). Phase 2 randomized controlled trial of radiation therapy plus concurrent interferon-alpha and retinoic acid versus cisplatin for stage III cervical carcinoma. Int. J. Radiat. Oncol. Biol. Phys. 94 (1), 102–110. doi:10.1016/j.ijrobp.2015.09.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Béguelin, W., Popovic, R., Teater, M., Jiang, Y., Bunting, K. L., Rosen, M., et al. (2013). EZH2 is required for germinal center formation and somatic EZH2 mutations promote lymphoid transformation. Cancer Cell 23 (5), 677–692. doi:10.1016/j.ccr.2013.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Bienz, M., and Clevers, H. (2000). Linking colorectal cancer to Wnt signaling. Cell 103 (2), 311–320. doi:10.1016/s0092-8674(00)00122-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Biswas, S., Mandal, G., Roy Chowdhury, S., Purohit, S., Payne, K. K., Anadon, C., et al. (2019). Exosomes produced by mesenchymal stem cells drive differentiation of myeloid cells into immunosuppressive M2-polarized macrophages in breast cancer. J. Immunol. 203 (12), 3447–3460. doi:10.4049/jimmunol.1900692

PubMed Abstract | CrossRef Full Text | Google Scholar

Bray, F., Laversanne, M., Weiderpass, E., and Soerjomataram, I. (2021). The ever-increasing importance of cancer as a leading cause of premature death worldwide. Cancer 127 (16), 3029–3030. doi:10.1002/cncr.33587

PubMed Abstract | CrossRef Full Text | Google Scholar

Brodeur, G. M., Minturn, J. E., Ho, R., Simpson, A. M., Iyer, R., Varela, C. R., et al. (2009). Trk receptor expression and inhibition in neuroblastomas. Clin. Cancer Res. 15 (10), 3244–3250. doi:10.1158/1078-0432.CCR-08-1815

PubMed Abstract | CrossRef Full Text | Google Scholar

Bryan, M., Pulte, E. D., Toomey, K. C., Pliner, L., Pavlick, A. C., Saunders, T., et al. (2011). A pilot phase II trial of all-trans retinoic acid (Vesanoid) and paclitaxel (Taxol) in patients with recurrent or metastatic breast cancer. Invest. New Drugs 29 (6), 1482–1487. doi:10.1007/s10637-010-9478-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Carén, H., Abel, F., Kogner, P., and Martinsson, T. (2008). High incidence of DNA mutations and gene amplifications of the ALK gene in advanced sporadic neuroblastoma tumours. Biochem. J. 416 (2), 153–159. doi:10.1042/bj20081834

PubMed Abstract | CrossRef Full Text | Google Scholar

Cejudo-Martin, P., and Johnson, R. S. (2005). A new notch in the HIF belt: how hypoxia impacts differentiation. Dev. Cell 9 (5), 575–576. doi:10.1016/j.devcel.2005.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Chakrabarty, R. P., and Chandel, N. S. (2021). Mitochondria as signaling organelles control mammalian stem cell fate. Cell Stem Cell 28 (3), 394–408. doi:10.1016/j.stem.2021.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W., Zheng, R., Baade, P. D., Zhang, S., Zeng, H., Bray, F., et al. (2016). Cancer statistics in China, 2015. CA Cancer J. Clin. 66 (2), 115–132. doi:10.3322/caac.21338

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheung, N. K., and Dyer, M. A. (2013). Neuroblastoma: developmental biology, cancer genomics and immunotherapy. Nat. Rev. Cancer 13 (6), 397–411. doi:10.1038/nrc3526

PubMed Abstract | CrossRef Full Text | Google Scholar

Chlapek, P., Slavikova, V., Mazanek, P., Sterba, J., and Veselska, R. (2018). Why differentiation therapy sometimes fails: molecular mechanisms of resistance to retinoids. Int. J. Mol. Sci. 19 (1), 132. doi:10.3390/ijms19010132

PubMed Abstract | CrossRef Full Text | Google Scholar

Coffey, D. C., Kutko, M. C., Glick, R. D., Butler, L. M., Heller, G., Rifkind, R. A., et al. (2001). The histone deacetylase inhibitor, CBHA, inhibits growth of human neuroblastoma xenografts in vivo, alone and synergistically with all-trans retinoic acid. Cancer Res. 61 (9), 3591–3594.

PubMed Abstract | Google Scholar

Coffman, J. A. (2004). Cell cycle development. Dev. Cell 6 (3), 321–327. doi:10.1016/s1534-5807(04)00067-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cowan, A. J., Stevenson, P. A., Gooley, T. A., Frayo, S. L., Oliveira, G. R., Smith, S. D., et al. (2017). Results of a phase I-II study of fenretinide and rituximab for patients with indolent B-cell lymphoma and mantle cell lymphoma. Br. J. Haematol. 176 (4), 583–590. doi:10.1111/bjh.14451

PubMed Abstract | CrossRef Full Text | Google Scholar

Culine, S., Kramar, A., Droz, J. P., and Théodore, C. (1999). Phase II study of all-trans retinoic acid administered intermittently for hormone refractory prostate cancer. J. Urol. 161 (1), 173–175. doi:10.1097/00005392-199901000-00049

PubMed Abstract | CrossRef Full Text | Google Scholar

Dalton, S. (2015). Linking the cell cycle to cell fate decisions. Trends Cell Biol. 25 (10), 592–600. doi:10.1016/j.tcb.2015.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

de Thé, H. (2018). Differentiation therapy revisited. Nat. Rev. Cancer 18 (2), 117–127. doi:10.1038/nrc.2017.103

PubMed Abstract | CrossRef Full Text | Google Scholar

Defaye, M., Iftinca, M. C., Gadotti, V. M., Basso, L., Abdullah, N. S., Cuménal, M., et al. (2022). The neuronal tyrosine kinase receptor ligand ALKAL2 mediates persistent pain. J. Clin. Invest. 132 (12), e154317. doi:10.1172/JCI154317

PubMed Abstract | CrossRef Full Text | Google Scholar

Derwinger, K., Kodeda, K., Bexe-Lindskog, E., and Taflin, H. (2010). Tumour differentiation grade is associated with TNM staging and the risk of node metastasis in colorectal cancer. Acta Oncol. 49 (1), 57–62. doi:10.3109/02841860903334411

PubMed Abstract | CrossRef Full Text | Google Scholar

Dobrotkova, V., Chlapek, P., Mazanek, P., Sterba, J., and Veselska, R. (2018). Traffic lights for retinoids in oncology: molecular markers of retinoid resistance and sensitivity and their use in the management of cancer differentiation therapy. BMC Cancer 18 (1), 1059. doi:10.1186/s12885-018-4966-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Duvic, M., Hymes, K., Heald, P., Breneman, D., Martin, A. G., Myskowski, P., et al. (2001). Bexarotene is effective and safe for treatment of refractory advanced-stage cutaneous T-cell lymphoma: multinational phase II-III trial results. J. Clin. Oncol. 19 (9), 2456–2471. doi:10.1200/JCO.2001.19.9.2456

PubMed Abstract | CrossRef Full Text | Google Scholar

Ebert, P. S., and Salcman, M. (1994). Differentiation therapy is potentiated by chemotherapy and hyperthermia in human and canine brain tumor cells in vitro. Neurosurgery 34 (4), 657–664. doi:10.1227/00006123-199404000-00013

PubMed Abstract | CrossRef Full Text | Google Scholar

Ebrahimi, S. O., Reiisi, S., and Shareef, S. (2020). miRNAs, oxidative stress, and cancer: A comprehensive and updated review. J. Cell Physiol. 235 (11), 8812–8825. doi:10.1002/jcp.29724

PubMed Abstract | CrossRef Full Text | Google Scholar

Eilers, M., and Eisenman, R. N. (2008). Myc's broad reach. Genes Dev. 22 (20), 2755–2766. doi:10.1101/gad.1712408

PubMed Abstract | CrossRef Full Text | Google Scholar

Engström, Y. (2021). Cell cycle regulators control stemness and differentiation. Bioessays 43 (7), e2100123. doi:10.1002/bies.202100123

PubMed Abstract | CrossRef Full Text | Google Scholar

Estiar, M. A., Javan, F., Zekri, A., Mehrazin, M., and Mehdipour, P. (2017). Prognostic significance of MYCN gene amplification and protein expression in primary brain tumors: astrocytoma and meningioma. Cancer Biomark. 19 (3), 341–351. doi:10.3233/CBM-160546

PubMed Abstract | CrossRef Full Text | Google Scholar

Fassina, G., Aluigi, M. G., Gentleman, S., Wong, P., Cai, T., Albini, A., et al. (1997). The cAMP analog 8-Cl-cAMP inhibits growth and induces differentiation and apoptosis in retinoblastoma cells. Int. J. Cancer 72 (6), 1088–1094. doi:10.1002/(sici)1097-0215(19970917)72:6<1088::aid-ijc25>3.0.co;2-#

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, Y., Hua, X., Niu, R., Du, Y., Shi, C., Zhou, R., et al. (2019). ROS play an important role in ATPR inducing differentiation and inhibiting proliferation of leukemia cells by regulating the PTEN/PI3K/AKT signaling pathway. Biol. Res. 52 (1), 26. doi:10.1186/s40659-019-0232-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Filippakopoulos, P., Qi, J., Picaud, S., Shen, Y., Smith, W. B., Fedorov, O., et al. (2010). Selective inhibition of BET bromodomains. Nature 468 (7327), 1067–1073. doi:10.1038/nature09504

PubMed Abstract | CrossRef Full Text | Google Scholar

French, C. A., Miyoshi, I., Kubonishi, I., Grier, H. E., Perez-Atayde, A. R., and Fletcher, J. A. (2003). BRD4-NUT fusion oncogene: A novel mechanism in aggressive carcinoma. Cancer Res. 63 (2), 304–307.

PubMed Abstract | Google Scholar

Gao, S. W., and Liu, F. (2019). Novel insights into cell cycle regulation of cell fate determination. J. Zhejiang Univ. Sci. B 20 (6), 467–475. doi:10.1631/jzus.B1900197

PubMed Abstract | CrossRef Full Text | Google Scholar

Giguère, V., and Evans, R. M. (2022). Chronicle of a discovery: the retinoic acid receptor. J. Mol. Endocrinol. 69 (4), T1–T11. doi:10.1530/JME-22-0117

PubMed Abstract | CrossRef Full Text | Google Scholar

Guerriero, J. L., Sotayo, A., Ponichtera, H. E., Castrillon, J. A., Pourzia, A. L., Schad, S., et al. (2017). Class IIa HDAC inhibition reduces breast tumours and metastases through anti-tumour macrophages. Nature 543 (7645), 428–432. doi:10.1038/nature21409

PubMed Abstract | CrossRef Full Text | Google Scholar

Guzhova, I., Hultquist, A., Cetinkaya, C., Nilsson, K., Påhlman, S., and Larsson, L. G. (2001). Interferon-gamma cooperates with retinoic acid and phorbol ester to induce differentiation and growth inhibition of human neuroblastoma cells. Int. J. Cancer 94 (1), 97–108. doi:10.1002/ijc.1443

PubMed Abstract | CrossRef Full Text | Google Scholar

Hadanny, A., and Efrati, S. (2020). The hyperoxic-hypoxic paradox. Biomolecules 10 (6), 958. doi:10.3390/biom10060958

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanahan, D., and Weinberg, R. A. (2011). Hallmarks of cancer: the next generation. Cell 144 (5), 646–674. doi:10.1016/j.cell.2011.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanahan, D., and Weinberg, R. A. (2000). The hallmarks of cancer. Cell 100 (1), 57–70. doi:10.1016/s0092-8674(00)81683-9

PubMed Abstract | CrossRef Full Text | Google Scholar

He, L. Z., Merghoub, T., and Pandolfi, P. P. (1999). In vivo analysis of the molecular pathogenesis of acute promyelocytic leukemia in the mouse and its therapeutic implications. Oncogene 18 (38), 5278–5292. doi:10.1038/sj.onc.1203088

PubMed Abstract | CrossRef Full Text | Google Scholar

Heukamp, L. C., Thor, T., Schramm, A., De Preter, K., Kumps, C., De Wilde, B., et al. (2012). Targeted expression of mutated ALK induces neuroblastoma in transgenic mice. Sci. Transl. Med. 4 (141), 141ra91. doi:10.1126/scitranslmed.3003967

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, C., Fan, L., Cen, P., Chen, E., Jiang, Z., and Li, L. (2016). Energy metabolism plays a critical role in stem cell maintenance and differentiation. Int. J. Mol. Sci. 17 (2), 253. doi:10.3390/ijms17020253

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, J., Liu, Y. F., Wu, C. F., Xu, F., Shen, Z. X., Zhu, Y. M., et al. (2009). Long-term efficacy and safety of all-trans retinoic acid/arsenic trioxide-based therapy in newly diagnosed acute promyelocytic leukemia. Proc. Natl. Acad. Sci. U. S. A. 106 (9), 3342–3347. doi:10.1073/pnas.0813280106

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X. T., and Zuckerman, K. S. (2014). Role of cell cycle regulatory molecules in retinoic acid- and vitamin D3-induced differentiation of acute myeloid leukaemia cells. Cell Prolif. 47 (3), 200–210. doi:10.1111/cpr.12100

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, M. E., Ye, Y. C., Chen, S. R., Chai, J. R., Lu, J. X., Zhoa, L., et al. (1988). Use of all-trans retinoic acid in the treatment of acute promyelocytic leukemia. Blood 72 (2), 567–572. doi:10.1182/blood.v72.2.567.bloodjournal722567

PubMed Abstract | CrossRef Full Text | Google Scholar

Intlekofer, A. M., and Finley, L. (2019). Metabolic signatures of cancer cells and stem cells. Nat. Metab. 1 (2), 177–188. doi:10.1038/s42255-019-0032-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Janesick, A., Wu, S. C., and Blumberg, B. (2015). Retinoic acid signaling and neuronal differentiation. Cell Mol. Life Sci. 72 (8), 1559–1576. doi:10.1007/s00018-014-1815-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Ji, H., Zhou, Y., Zhuang, X., Zhu, Y., Wu, Z., and Lu, Y. (2019). HDAC3 deficiency promotes liver cancer through a defect in H3K9ac/H3K9me3 transition. Cancer Res. 79 (14), 3676–3688. doi:10.1158/0008-5472.CAN-18-3767

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, Z., Lu, Y., Wu, Y., Che, J., and Dong, X. (2020). Development of differentiation modulators and targeted agents for treating neuroblastoma. Eur. J. Med. Chem. 207, 112818. doi:10.1016/j.ejmech.2020.112818

PubMed Abstract | CrossRef Full Text | Google Scholar

Joshi, S. S., Jackson, J. D., and Sharp, J. G. (1985). Differentiation inducing effects of butyrate and DMSO on human intestinal tumor cell lines in culture. Cancer Detect Prev. 8 (1-2), 237–245.

PubMed Abstract | Google Scholar

Kakizuka, A., Miller, W. H., Umesono, K., Warrell, R. P., Frankel, S. R., Murty, V. V., et al. (1991). Chromosomal translocation t(15;17) in human acute promyelocytic leukemia fuses RAR alpha with a novel putative transcription factor, PML. PML. Cell 66 (4), 663–674. doi:10.1016/0092-8674(91)90112-c

PubMed Abstract | CrossRef Full Text | Google Scholar

Kareta, M. S., Sage, J., and Wernig, M. (2015). Crosstalk between stem cell and cell cycle machineries. Curr. Opin. Cell Biol. 37, 68–74. doi:10.1016/j.ceb.2015.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawamata, H., Fujimori, T., and Imai, Y. (2004). TSC-22 (TGF-beta stimulated clone-22): A novel molecular target for differentiation-inducing therapy in salivary gland cancer. Curr. Cancer Drug Targets 4 (6), 521–529. doi:10.2174/1568009043332844

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawamata, H., Omotehara, F., Nakashiro, K., Uchida, D., Hino, S., and Fujimori, T. (2003). Vesnarinone: A differentiation-inducing anti-cancer drug. Anticancer Drugs 14 (6), 391–395. doi:10.1097/00001813-200307000-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kilberg, M. S., Terada, N., and Shan, J. (2016). Influence of amino acid metabolism on embryonic stem cell function and differentiation. Adv. Nutr. 7 (4), 780S-9S–9S. doi:10.3945/an.115.011031

PubMed Abstract | CrossRef Full Text | Google Scholar

Kocher, H. M., Basu, B., Froeling, F., Sarker, D., Slater, S., Carlin, D., et al. (2020). Phase I clinical trial repurposing all-trans retinoic acid as a stromal targeting agent for pancreatic cancer. Nat. Commun. 11 (1), 4841. doi:10.1038/s41467-020-18636-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Kohl, N. E., Kanda, N., Schreck, R. R., Bruns, G., Latt, S. A., Gilbert, F., et al. (1983). Transposition and amplification of oncogene-related sequences in human neuroblastomas. Cell 35 (2-1), 359–367. doi:10.1016/0092-8674(83)90169-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ladenstein, R., Pötschger, U., Pearson, A., Brock, P., Luksch, R., Castel, V., et al. (2017). Busulfan and melphalan versus carboplatin, etoposide, and melphalan as high-dose chemotherapy for high-risk neuroblastoma (HR-NBL1/SIOPEN): an international, randomised, multi-arm, open-label, phase 3 trial. Lancet Oncol. 18 (4), 500–514. doi:10.1016/S1470-2045(17)30070-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Laubscher, D., Gryder, B. E., Sunkel, B. D., Andresson, T., Wachtel, M., Das, S., et al. (2021). BAF complexes drive proliferation and block myogenic differentiation in fusion-positive rhabdomyosarcoma. Nat. Commun. 12 (1), 6924. doi:10.1038/s41467-021-27176-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, J. S., Heo, J., Libbrecht, L., Chu, I. S., Kaposi-Novak, P., Calvisi, D. F., et al. (2006). A novel prognostic subtype of human hepatocellular carcinoma derived from hepatic progenitor cells. Nat. Med. 12 (4), 410–416. doi:10.1038/nm1377

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemmon, M. A., and Schlessinger, J. (2010). Cell signaling by receptor tyrosine kinases. Cell 141 (7), 1117–1134. doi:10.1016/j.cell.2010.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Lévy, P., Robin, H., Bertrand, F., Kornprobst, M., and Capeau, J. (2003). Butyrate-treated colonic Caco-2 cells exhibit defective integrin-mediated signaling together with increased apoptosis and differentiation. J. Cell Physiol. 197 (3), 336–347. doi:10.1002/jcp.10345

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z., Takenobu, H., Setyawati, A. N., Akita, N., Haruta, M., Satoh, S., et al. (2018). EZH2 regulates neuroblastoma cell differentiation via NTRK1 promoter epigenetic modifications. Oncogene 37 (20), 2714–2727. doi:10.1038/s41388-018-0133-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, Q., Lee, Y. J., and Yun, Z. (2006). Differentiation arrest by hypoxia. J. Biol. Chem. 281 (41), 30678–30683. doi:10.1074/jbc.C600120200

PubMed Abstract | CrossRef Full Text | Google Scholar

Lippman, S. M., and Meyskens, F. L. (1987). Treatment of advanced squamous cell carcinoma of the skin with isotretinoin. Ann. Intern Med. 107 (4), 499–502. doi:10.7326/0003-4819-107-4-499

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, B., Li, L., Yang, G., Geng, C., Luo, Y., Wu, W., et al. (2019a). PARP inhibition suppresses GR-MYCN-CDK5-RB1-E2F1 signaling and neuroendocrine differentiation in castration-resistant prostate cancer. Clin. Cancer Res. 25 (22), 6839–6851. doi:10.1158/1078-0432.CCR-19-0317

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Duan, Z., Guo, W., Zeng, L., Wu, Y., Chen, Y., et al. (2018). Targeting the BRD4/FOXO3a/CDK6 axis sensitizes AKT inhibition in luminal breast cancer. Nat. Commun. 9 (1), 5200. doi:10.1038/s41467-018-07258-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, L., Michowski, W., Kolodziejczyk, A., and Sicinski, P. (2019b). The cell cycle in stem cell proliferation, pluripotency and differentiation. Nat. Cell Biol. 21 (9), 1060–1067. doi:10.1038/s41556-019-0384-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, M., Yan, Q., Sun, Y., Nam, Y., Hu, L., Loong, J. H., et al. (2020). A hepatocyte differentiation model reveals two subtypes of liver cancer with different oncofetal properties and therapeutic targets. Proc. Natl. Acad. Sci. U. S. A. 117 (11), 6103–6113. doi:10.1073/pnas.1912146117

PubMed Abstract | CrossRef Full Text | Google Scholar

Lorentzen, A., Vogel, L. K., Lewinsky, R. H., Saebø, M., Skjelbred, C. F., Godiksen, S., et al. (2007). Expression of NDRG2 is down-regulated in high-risk adenomas and colorectal carcinoma. BMC Cancer 7, 192. doi:10.1186/1471-2407-7-192

PubMed Abstract | CrossRef Full Text | Google Scholar

Lotem, J., and Sachs, L. (1988). In vivo control of differentiation of myeloid leukemic cells by recombinant granulocyte-macrophage colony-stimulating factor and interleukin 3. Blood 71 (2), 375–382. doi:10.1182/blood.v71.2.375.bloodjournal712375

PubMed Abstract | CrossRef Full Text | Google Scholar

Lübbert, M., Grishina, O., Schmoor, C., Schlenk, R. F., Jost, E., Crysandt, M., et al. (2020). Valproate and retinoic acid in combination with decitabine in elderly nonfit patients with acute myeloid leukemia: results of a multicenter, randomized, 2 × 2, phase II trial. J. Clin. Oncol. 38 (3), 257–270. doi:10.1200/JCO.19.01053

PubMed Abstract | CrossRef Full Text | Google Scholar

Maris, J. M. (2010). Recent advances in neuroblastoma. N. Engl. J. Med. 362 (23), 2202–2211. doi:10.1056/NEJMra0804577

PubMed Abstract | CrossRef Full Text | Google Scholar

Massó-Vallés, D., Beaulieu, M. E., and Soucek, L. (2020). MYC, MYCL, and MYCN as therapeutic targets in lung cancer. Expert Opin. Ther. Targets 24 (2), 101–114. doi:10.1080/14728222.2020.1723548

PubMed Abstract | CrossRef Full Text | Google Scholar

Matthay, K. K., Maris, J. M., Schleiermacher, G., Nakagawara, A., Mackall, C. L., Diller, L., et al. (2016). Neuroblastoma. Nat. Rev. Dis. Prim. 2, 16078. doi:10.1038/nrdp.2016.78

PubMed Abstract | CrossRef Full Text | Google Scholar

Matthay, K. K., Reynolds, C. P., Seeger, R. C., Shimada, H., Adkins, E. S., Haas-Kogan, D., et al. (2009). Long-term results for children with high-risk neuroblastoma treated on a randomized trial of myeloablative therapy followed by 13-cis-retinoic acid: A children's oncology group study. J. Clin. Oncol. 27 (7), 1007–1013. doi:10.1200/JCO.2007.13.8925

PubMed Abstract | CrossRef Full Text | Google Scholar

Matthay, K. K. (1998). Stage 4S neuroblastoma: what makes it special. J. Clin. Oncol. 16 (6), 2003–2006. doi:10.1200/JCO.1998.16.6.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Matthay, K. K., Villablanca, J. G., Seeger, R. C., Stram, D. O., Harris, R. E., Ramsay, N. K., et al. (1999). Treatment of high-risk neuroblastoma with intensive chemotherapy, radiotherapy, autologous bone marrow transplantation, and 13-cis-retinoic acid. Children's Cancer Group. N. Engl. J. Med. 341 (16), 1165–1173. doi:10.1056/NEJM199910143411601

PubMed Abstract | CrossRef Full Text | Google Scholar

Melnick, A., and Licht, J. D. (1999). Deconstructing a disease: RARalpha, its fusion partners, and their roles in the pathogenesis of acute promyelocytic leukemia. Blood 93 (10), 3167–3215. doi:10.1182/blood.v93.10.3167.410k44_3167_3215

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyskens, F. L., Jacobson, J., Nguyen, B., Weiss, G. R., Gandara, D. R., and MacDonald, J. S. (1998). Phase II trial of oral beta-all trans-retinoic acid in hepatocellular carcinoma (SWOG 9157). Invest. New Drugs 16 (2), 171–173. doi:10.1023/a:1006032706362

PubMed Abstract | CrossRef Full Text | Google Scholar

Mezquita, B., and Mezquita, C. (2019). Two opposing faces of retinoic acid: induction of stemness or induction of differentiation depending on cell-type. Biomolecules 9 (10), 567. doi:10.3390/biom9100567

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitroshina, E. V., Savyuk, M. O., Ponimaskin, E., and Vedunova, M. V. (2021). Hypoxia-inducible factor (HIF) in ischemic stroke and neurodegenerative disease. Front. Cell Dev. Biol. 9, 703084. doi:10.3389/fcell.2021.703084

PubMed Abstract | CrossRef Full Text | Google Scholar

Mody, D., Bouckaert, J., Savvides, S. N., and Gupta, V. (2021). Rational design and development of HDAC inhibitors for breast cancer treatment. Curr. Pharm. Des. 27 (45), 4610–4629. doi:10.2174/1381612827666210917143953

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohlin, S., Wigerup, C., Jögi, A., and Påhlman, S. (2017). Hypoxia, pseudohypoxia and cellular differentiation. Exp. Cell Res. 356 (2), 192–196. doi:10.1016/j.yexcr.2017.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Montes-Moreno, S., Montalbán, C., and Piris, M. A. (2012). Large B-cell lymphomas with plasmablastic differentiation: A biological and therapeutic challenge. Leuk. Lymphoma 53 (2), 185–194. doi:10.3109/10428194.2011.608447

PubMed Abstract | CrossRef Full Text | Google Scholar

Moore, M. M., Stockler, M., Lim, R., Mok, T. S., Millward, M., and Boyer, M. J. (2010). A phase II study of fenretinide in patients with hormone refractory prostate cancer: A trial of the cancer therapeutics research group. Cancer Chemother. Pharmacol. 66 (5), 845–850. doi:10.1007/s00280-009-1228-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Munster, P. N., Troso-Sandoval, T., Rosen, N., Rifkind, R., Marks, P. A., and Richon, V. M. (2001). The histone deacetylase inhibitor suberoylanilide hydroxamic acid induces differentiation of human breast cancer cells. Cancer Res. 61 (23), 8492–8497.

PubMed Abstract | Google Scholar

Muto, Y., Moriwaki, H., Ninomiya, M., Adachi, S., Saito, A., Takasaki, K. T., et al. (1996). Prevention of second primary tumors by an acyclic retinoid, polyprenoic acid, in patients with hepatocellular carcinoma. Hepatoma Prevention Study Group. N. Engl. J. Med. 334 (24), 1561–1567. doi:10.1056/NEJM199606133342402

PubMed Abstract | CrossRef Full Text | Google Scholar

Naveen, C. R., Gaikwad, S., and Agrawal-Rajput, R. (2016). Berberine induces neuronal differentiation through inhibition of cancer stemness and epithelial-mesenchymal transition in neuroblastoma cells. Phytomedicine 23 (7), 736–744. doi:10.1016/j.phymed.2016.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Neftel, C., Laffy, J., Filbin, M. G., Hara, T., Shore, M. E., Rahme, G. J., et al. (2019). An integrative model of cellular states, plasticity, and Genetics for glioblastoma. Cell 178 (4), 835–849. doi:10.1016/j.cell.2019.06.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Ni, X., Hu, G., and Cai, X. (2019). The success and the challenge of all-trans retinoic acid in the treatment of cancer. Crit. Rev. Food Sci. Nutr. 59 (1), S71-S80–S80. doi:10.1080/10408398.2018.1509201

PubMed Abstract | CrossRef Full Text | Google Scholar

Nijhof, I. S., Groen, R. W., Lokhorst, H. M., van Kessel, B., Bloem, A. C., van Velzen, J., et al. (2015). Upregulation of CD38 expression on multiple myeloma cells by all-trans retinoic acid improves the efficacy of daratumumab. Leukemia 29 (10), 2039–2049. doi:10.1038/leu.2015.123

PubMed Abstract | CrossRef Full Text | Google Scholar

Palazon, A., Goldrath, A. W., Nizet, V., and Johnson, R. S. (2014). HIF transcription factors, inflammation, and immunity. Immunity 41 (4), 518–528. doi:10.1016/j.immuni.2014.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Pelengaris, S., Khan, M., and Evan, G. (2002). c-MYC: more than just a matter of life and death. Nat. Rev. Cancer 2 (10), 764–776. doi:10.1038/nrc904

PubMed Abstract | CrossRef Full Text | Google Scholar

Penas-Prado, M., Hess, K. R., Fisch, M. J., Lagrone, L. W., Groves, M. D., Levin, V. A., et al. (2015). Randomized phase II adjuvant factorial study of dose-dense temozolomide alone and in combination with isotretinoin, celecoxib, and/or thalidomide for glioblastoma. Neuro Oncol. 17 (2), 266–273. doi:10.1093/neuonc/nou155

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinto, N. R., Applebaum, M. A., Volchenboum, S. L., Matthay, K. K., London, W. B., Ambros, P. F., et al. (2015). Advances in risk classification and treatment strategies for neuroblastoma. J. Clin. Oncol. 33 (27), 3008–3017. doi:10.1200/JCO.2014.59.4648

PubMed Abstract | CrossRef Full Text | Google Scholar

Platzbecker, U., Avvisati, G., Cicconi, L., Thiede, C., Paoloni, F., Vignetti, M., et al. (2017). Improved outcomes with retinoic acid and arsenic trioxide compared with retinoic acid and chemotherapy in non-high-risk acute promyelocytic leukemia: final results of the randomized Italian-German APL0406 trial. J. Clin. Oncol. 35 (6), 605–612. doi:10.1200/JCO.2016.67.1982

PubMed Abstract | CrossRef Full Text | Google Scholar

Podkalicka, P., Stępniewski, J., Mucha, O., Kachamakova-Trojanowska, N., Dulak, J., and Łoboda, A. (2020). Hypoxia as a driving force of pluripotent stem cell reprogramming and differentiation to endothelial cells. Biomolecules 10 (12), 1614. doi:10.3390/biom10121614

PubMed Abstract | CrossRef Full Text | Google Scholar

Pourbagher, R., Akhavan-Niaki, H., Jorsaraei, S., Fattahi, S., Sabour, D., Zabihi, E., et al. (2020). Targeting LA7 breast cancer stem cells of rat through repressing the genes of stemness-related transcription factors using three different biological fluids. Gene 734, 144381. doi:10.1016/j.gene.2020.144381

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiu, H., Cao, S., and Xu, R. (2021). Cancer incidence, mortality, and burden in China: A time-trend analysis and comparison with the United States and United Kingdom based on the global epidemiological data released in 2020. Cancer Commun. (Lond) 41 (10), 1037–1048. doi:10.1002/cac2.12197

PubMed Abstract | CrossRef Full Text | Google Scholar

Raman, R., and Raman, A. (2018). A pituitary tumor turned-to-be a glioma: A surgical case from the madras general hospital 1928. Indian J. Cancer 55 (4), 424–427. doi:10.4103/ijc.IJC_12_19

PubMed Abstract | CrossRef Full Text | Google Scholar

Recchia, F., Di Orio, F., Candeloro, G., Guerriero, G., Piazze, J., and Rea, S. (2010). Maintenance immunotherapy in recurrent ovarian cancer: long term follow-up of a phase II study. Gynecol. Oncol. 116 (2), 202–207. doi:10.1016/j.ygyno.2009.09.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Rettig, I., Koeneke, E., Trippel, F., Mueller, W. C., Burhenne, J., Kopp-Schneider, A., et al. (2015). Selective inhibition of HDAC8 decreases neuroblastoma growth in vitro and in vivo and enhances retinoic acid-mediated differentiation. Cell Death Dis. 6 (2), e1657. doi:10.1038/cddis.2015.24

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruijtenberg, S., and van den Heuvel, S. (2016). Coordinating cell proliferation and differentiation: antagonism between cell cycle regulators and cell type-specific gene expression. Cell Cycle 15 (2), 196–212. doi:10.1080/15384101.2015.1120925

PubMed Abstract | CrossRef Full Text | Google Scholar

Salmon, J. M., Todorovski, I., Stanley, K. L., Bruedigam, C., Kearney, C. J., Martelotto, L. G., et al. (2022). Epigenetic activation of plasmacytoid DCs drives IFNAR-dependent therapeutic differentiation of AML. Cancer Discov. 12 (6), 1560–1579. doi:10.1158/2159-8290.CD-20-1145

PubMed Abstract | CrossRef Full Text | Google Scholar

Sancho, P., Barneda, D., and Heeschen, C. (2016). Hallmarks of cancer stem cell metabolism. Br. J. Cancer 114 (12), 1305–1312. doi:10.1038/bjc.2016.152

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, B. J., Worden, F. P., Gadgeel, S. M., Parchment, R. E., Hodges, C. M., Zwiebel, J., et al. (2009). Phase II trial of fenretinide (NSC 374551) in patients with recurrent small cell lung cancer. Invest. New Drugs 27 (6), 571–578. doi:10.1007/s10637-009-9228-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Schnepp, R. W., and Maris, J. M. (2013). Targeting MYCN: A good BET for improving neuroblastoma therapy. Cancer Discov. 3 (3), 255–257. doi:10.1158/2159-8290.CD-13-0018

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwab, M., Alitalo, K., Klempnauer, K. H., Varmus, H. E., Bishop, J. M., Gilbert, F., et al. (1983). Amplified DNA with limited homology to myc cellular oncogene is shared by human neuroblastoma cell lines and a neuroblastoma tumour. Nature 305 (5931), 245–248. doi:10.1038/305245a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Seeger, R. C., Brodeur, G. M., Sather, H., Dalton, A., Siegel, S. E., Wong, K. Y., et al. (1985). Association of multiple copies of the N-myc oncogene with rapid progression of neuroblastomas. N. Engl. J. Med. 313 (18), 1111–1116. doi:10.1056/NEJM198510313131802

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, L., Qu, X., Li, H., Xu, C., Wei, M., Wang, Q., et al. (2018). NDRG2 facilitates colorectal cancer differentiation through the regulation of Skp2-p21/p27 axis. Oncogene 37 (13), 1759–1774. doi:10.1038/s41388-017-0118-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, C., Ye, Z., Han, J., Ye, X., Lu, W., Ji, C., et al. (2020). BRD4 as a therapeutic target for nonfunctioning and growth hormone pituitary adenoma. Neuro Oncol. 22 (8), 1114–1125. doi:10.1093/neuonc/noaa084

PubMed Abstract | CrossRef Full Text | Google Scholar

Shyh-Chang, N., and Ng, H. H. (2017). The metabolic programming of stem cells. Genes Dev. 31 (4), 336–346. doi:10.1101/gad.293167.116

PubMed Abstract | CrossRef Full Text | Google Scholar

Sia, D., Villanueva, A., Friedman, S. L., and Llovet, J. M. (2017). Liver cancer cell of origin, molecular class, and effects on patient prognosis. Gastroenterology 152 (4), 745–761. doi:10.1053/j.gastro.2016.11.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Siegel, R. L., Miller, K. D., Wagle, N. S., and Jemal, A. (2023). Cancer statistics, 2023. CA Cancer J. Clin. 73 (1), 17–48. doi:10.3322/caac.21763

PubMed Abstract | CrossRef Full Text | Google Scholar

Simon, D., Körber, C., Krausch, M., Segering, J., Groth, P., Görges, R., et al. (2002). Clinical impact of retinoids in redifferentiation therapy of advanced thyroid cancer: final results of a pilot study. Eur. J. Nucl. Med. Mol. Imaging 29 (6), 775–782. doi:10.1007/s00259-001-0737-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Soufi, A., and Dalton, S. (2016). Cycling through developmental decisions: how cell cycle dynamics control pluripotency, differentiation and reprogramming. Development 143 (23), 4301–4311. doi:10.1242/dev.142075

PubMed Abstract | CrossRef Full Text | Google Scholar

Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., et al. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71 (3), 209–249. doi:10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

Takahashi, N., Saito, D., Hasegawa, S., Yamasaki, M., and Imai, M. (2022). Vitamin A in health care: suppression of growth and induction of differentiation in cancer cells by vitamin A and its derivatives and their mechanisms of action. Pharmacol. Ther. 230, 107942. doi:10.1016/j.pharmthera.2021.107942

PubMed Abstract | CrossRef Full Text | Google Scholar

Tassara, M., Döhner, K., Brossart, P., Held, G., Götze, K., Horst, H. A., et al. (2014). Valproic acid in combination with all-trans retinoic acid and intensive therapy for acute myeloid leukemia in older patients. Blood 123 (26), 4027–4036. doi:10.1182/blood-2013-12-546283

PubMed Abstract | CrossRef Full Text | Google Scholar

Telloni, S. M. (2017). Tumor staging and grading: A primer. Methods Mol. Biol. 1606, 1–17. doi:10.1007/978-1-4939-6990-6_1

PubMed Abstract | CrossRef Full Text | Google Scholar

Toma, S., Raffo, P., Nicolo, G., Canavese, G., Margallo, E., Vecchio, C., et al. (2000). Biological activity of all-trans-retinoic acid with and without tamoxifen and alpha-interferon 2a in breast cancer patients. Int. J. Oncol. 17 (5), 991–1000. doi:10.3892/ijo.17.5.991

PubMed Abstract | CrossRef Full Text | Google Scholar

Unno, K., Chalmers, Z. R., Pamarthy, S., Vatapalli, R., Rodriguez, Y., Lysy, B., et al. (2021). Activated ALK cooperates with N-myc via wnt/β-catenin signaling to induce neuroendocrine prostate cancer. Cancer Res. 81 (8), 2157–2170. doi:10.1158/0008-5472.CAN-20-3351

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaishampayan, U., Heilbrun, L. K., Parchment, R. E., Jain, V., Zwiebel, J., Boinpally, R. R., et al. (2005). Phase II trial of fenretinide in advanced renal carcinoma. Invest. New Drugs 23 (2), 179–185. doi:10.1007/s10637-005-5864-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaudry, D., Stork, P. J., Lazarovici, P., and Eiden, L. E. (2002). Signaling pathways for PC12 cell differentiation: making the right connections. Science 296 (5573), 1648–1649. doi:10.1126/science.1071552

PubMed Abstract | CrossRef Full Text | Google Scholar

Vieira, H. L., Alves, P. M., and Vercelli, A. (2011). Modulation of neuronal stem cell differentiation by hypoxia and reactive oxygen species. Prog. Neurobiol. 93 (3), 444–455. doi:10.1016/j.pneurobio.2011.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Villablanca, J. G., Khan, A. A., Avramis, V. I., Seeger, R. C., Matthay, K. K., Ramsay, N. K., et al. (1995). Phase I trial of 13-cis-retinoic acid in children with neuroblastoma following bone marrow transplantation. J. Clin. Oncol. 13 (4), 894–901. doi:10.1200/JCO.1995.13.4.894

PubMed Abstract | CrossRef Full Text | Google Scholar

Villablanca, J. G., Krailo, M. D., Ames, M. M., Reid, J. M., Reaman, G. H., Reynolds, C. P., et al. (2006). Phase I trial of oral fenretinide in children with high-risk solid tumors: A report from the children's oncology group (CCG 09709). J. Clin. Oncol. 24 (21), 3423–3430. doi:10.1200/JCO.2005.03.9271

PubMed Abstract | CrossRef Full Text | Google Scholar

Vita, M., and Henriksson, M. (2006). The Myc oncoprotein as a therapeutic target for human cancer. Semin. Cancer Biol. 16 (4), 318–330. doi:10.1016/j.semcancer.2006.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, C., Zhang, J., Yin, J., Gan, Y., Xu, S., Gu, Y., et al. (2021). Alternative approaches to target Myc for cancer treatment. Signal Transduct. Target Ther. 6 (1), 117. doi:10.1038/s41392-021-00500-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Warrell, R. P., Frankel, S. R., Miller, W. H., Scheinberg, D. A., Itri, L. M., Hittelman, W. N., et al. (1991). Differentiation therapy of acute promyelocytic leukemia with tretinoin (all-trans-retinoic acid). N. Engl. J. Med. 324 (20), 1385–1393. doi:10.1056/NEJM199105163242002

PubMed Abstract | CrossRef Full Text | Google Scholar

Warrell, R. P., de Thé, H., Wang, Z. Y., and Degos, L. (1993). Acute promyelocytic leukemia. N. Engl. J. Med. 329 (3), 177–189. doi:10.1056/NEJM199307153290307

PubMed Abstract | CrossRef Full Text | Google Scholar

Westermann, F., Muth, D., Benner, A., Bauer, T., Henrich, K. O., Oberthuer, A., et al. (2008). Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas. Genome Biol. 9 (10), R150. doi:10.1186/gb-2008-9-10-r150

PubMed Abstract | CrossRef Full Text | Google Scholar

Westermark, U. K., Wilhelm, M., Frenzel, A., and Henriksson, M. A. (2011). The MYCN oncogene and differentiation in neuroblastoma. Semin. Cancer Biol. 21 (4), 256–266. doi:10.1016/j.semcancer.2011.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Wood, D. J., and Endicott, J. A. (2018). Structural insights into the functional diversity of the CDK-cyclin family. Open Biol. 8 (9), 180112. doi:10.1098/rsob.180112

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, S. Y., and Chiang, C. M. (2007). The double bromodomain-containing chromatin adaptor Brd4 and transcriptional regulation. J. Biol. Chem. 282 (18), 13141–13145. doi:10.1074/jbc.R700001200

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, Y., Shi, X., Sheng, K., Han, G., Li, W., Zhao, Q., et al. (2019). PI3K/Akt signaling transduction pathway, erythropoiesis and glycolysis in hypoxia (Review). Mol. Med. Rep. 19 (2), 783–791. doi:10.3892/mmr.2018.9713

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamagishi, M., and Uchimaru, K. (2017). Targeting EZH2 in cancer therapy. Curr. Opin. Oncol. 29 (5), 375–381. doi:10.1097/CCO.0000000000000390

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, Q., Zhang, Y., Fang, X., Liu, B., Wong, T. L., Gong, L., et al. (2021). PGC7 promotes tumor oncogenic dedifferentiation through remodeling DNA methylation pattern for key developmental transcription factors. Cell Death Differ. 28 (6), 1955–1970. doi:10.1038/s41418-020-00726-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, L., Shi, P., Zhao, G., Xu, J., Peng, W., Zhang, J., et al. (2020). Targeting cancer stem cell pathways for cancer therapy. Signal Transduct. Target Ther. 5 (1), 8. doi:10.1038/s41392-020-0110-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, S., Norgard, R. J., and Stanger, B. Z. (2019). Cellular plasticity in cancer. Cancer Discov. 9 (7), 837–851. doi:10.1158/2159-8290.CD-19-0015

PubMed Abstract | CrossRef Full Text | Google Scholar

Zapletalova, D., André, N., Deak, L., Kyr, M., Bajciova, V., Mudry, P., et al. (2012). Metronomic chemotherapy with the COMBAT regimen in advanced pediatric malignancies: A multicenter experience. Oncology 82 (5), 249–260. doi:10.1159/000336483

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeineldin, M., Patel, A. G., and Dyer, M. A. (2022). Neuroblastoma: when differentiation goes awry. Neuron 110 (18), 2916–2928. doi:10.1016/j.neuron.2022.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Zhang, S., and Wang, T. (2022b). How the mechanical microenvironment of stem cell growth affects their differentiation: A review. Stem Cell Res. Ther. 13 (1), 415. doi:10.1186/s13287-022-03070-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Zhu, X. J., Zhong, Z., Du, J. C., Fang, G. X., Cui, X. L., et al. (2022a). Small molecule-induced differentiation as a potential therapy for liver cancer. Adv. Sci. (Weinh) 9 (15), e2103619. doi:10.1002/advs.202103619

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuber, J., Shi, J., Wang, E., Rappaport, A. R., Herrmann, H., Sison, E. A., et al. (2011). RNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemia. Nature 478 (7370), 524–528. doi:10.1038/nature10334

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cell differentiation, differentiation-inducing therapy, cell cycle, retinoic acid, differentiation mechanisms

Citation: Zhu K, Xia Y, Tian X, He Y, Zhou J, Han R, Guo H, Song T, Chen L and Tian X (2023) Characterization and therapeutic perspectives of differentiation-inducing therapy in malignant tumors. Front. Genet. 14:1271381. doi: 10.3389/fgene.2023.1271381

Received: 02 August 2023; Accepted: 30 August 2023;
Published: 08 September 2023.

Edited by:

Xiaozhou Yu, Northwestern University, United States

Reviewed by:

Lili Guo, Shanxi Provincial People’s Hospital, China
Fanjie Meng, Capital Medical University, China

Copyright © 2023 Zhu, Xia, Tian, He, Zhou, Han, Guo, Song, Chen and Tian. 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) and the copyright owner(s) 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: Tianqiang Song, dGpjaGlAaG90bWFpbC5jb20=; Lu Chen, Y2hlbmx1QHRtdS5lZHUuY24=; Xiangdong Tian, eGlhbmdkb25ndGlhbkB0bXUuZWR1LmNu

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.