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REVIEW article

Front. Oncol., 07 February 2022
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research Topic Combining Chemo/radio Therapy and Immunotherapy for Cancers—Perfect Mix of Old and New View all 49 articles

Effective Combinations of Immunotherapy and Radiotherapy for Cancer Treatment

Siting Yu&#x;Siting Yu1†Yang Wang&#x;Yang Wang2†Ping He&#x;Ping He1†Bianfei ShaoBianfei Shao1Fang LiuFang Liu1Zhongzheng XiangZhongzheng Xiang1Tian YangTian Yang1Yuanyuan ZengYuanyuan Zeng1Tao HeTao He1Jiachun MaJiachun Ma1Xiran WangXiran Wang1Lei Liu*Lei Liu1*
  • 1Department of Head and Neck Oncology, West China Hospital, Sichuan University, Chengdu, China
  • 2Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China

Though single tumor immunotherapy and radiotherapy have significantly improved the survival rate of tumor patients, there are certain limitations in overcoming tumor metastasis, recurrence, and reducing side effects. Therefore, it is urgent to explore new tumor treatment methods. The new combination of radiotherapy and immunotherapy shows promise in improving therapeutic efficacy and reducing recurrence by enhancing the ability of the immune system to recognize and eradicate tumor cells, to overcome tumor immune tolerance mechanisms. Nanomaterials, as new drug-delivery-system materials of the 21st century, can maintain the activity of drugs, improve drug targeting, and reduce side effects in tumor immunotherapy. Additionally, nanomaterials, as radiosensitizers, have shown great potential in tumor radiotherapy due to their unique properties, such as light, heat, electromagnetic effects. Here, we review the mechanisms of tumor immunotherapy and radiotherapy and the synergy of radiotherapy with multiple types of immunotherapies, including immune checkpoint inhibitors (ICIs), tumor vaccines, adoptive cell therapy, and cytokine therapy. Finally, we propose the potential for nanomaterials in tumor radiotherapy and immunotherapy.

Introduction

Radiotherapy (RT) is a standard treatment for malignant tumors. About 70% of tumor patients accept RT. RT causes irreversible damage to the DNA of tumor cells in the irradiation field to achieve local control of tumors. In the past decades, RT has made remarkable progress (1, 2). Recently, with a better understanding of tumor immune mechanisms, the application of immunotherapy such as immune checkpoint inhibitors (ICIs) (3), tumor vaccines (4), adoptive cell therapies (5), cytokine therapies (6), and other immunotherapies have increased. Immunotherapy has gradually been affirmed as the most likely direction to cure cancer in the field of tumor therapy by the medical community (7). However, radiation induces the release of myeloid-derived suppressor cells (MDSCs), M2-like tumor-associated macrophages (M2-like TAMs), T-regulatory cells (Tregs), N2 neutrophils, and immunosuppressive cytokines (TGF-β, IL-10) to promote the immunosuppressive microenvironment (8, 9). In addition, the presence of hypoxic cells in tumors leads to resistance to RT, which remains a hot topic in RT research. At the same time, due to the complexity of the mechanisms of tumor immune escape, in clinical practice, single immunotherapy is limited to a few tumors and can only benefit a few patients. With further research, especially the discovery of the abscopal effect induced by RT, it has been suggested that RT is closely influenced by the immune microenvironment. Many preclinical studies have shown that irradiation triggers immunogenic cell death (ICD), which promotes the release of tumor-associated antigens (TAAs), changes the tumor microenvironment (TME), and activates the immune system to exert an anti-tumor immune response (10, 11). Tumors with weak immunogenicity can benefit from RT combined with different types of immunotherapies. The synergy between immunotherapy and RT has become a hot field in oncology therapy.

In recent years, with the rapid development of nanomaterials in biomedical applications, a significant number of studies have shown that multifunctional nanomaterials can deliver one or more immunomodulators and other drugs to tumor sites, which improves the immunosuppressive microenvironment (12, 13). Moreover, some multifunctional nanomaterials can be used as radiosensitizers to improve the efficacy of RT through photothermal effect, photokinetic effect, or direct regulation of hypoxia. Nanomaterials have great research value and clinical transformation prospects (14). Based on current literature, this review briefly discusses the mechanisms of cancer immunotherapy and RT, as well as the research progress of several immunotherapies combined with RT. It attempts to explore the challenges of synergistic treatment strategies for the two tumor treatment methods. Finally, the research progress of several kinds of nanomaterials in enhancing the effect of tumor immunotherapy and RT is reviewed (Figure 1).

FIGURE 1
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Figure 1 Nanomaterials used in cancer immunotherapy and radiotherapy show promise in enhancing therapeutic efficacy. Created with BioRender.com.

The Role of the Immune System in Anti-Tumor Activity

Innate Immunity and Adaptive Immunity

The immune system exerts anti-tumor mechanisms through innate and adaptive immunity (15). The innate immune system, as the host’s first line of defense, exerts anti-tumor effects mainly by sensing pathogen-associated patterns (DAMPs) or danger-associated molecular patterns (DAMPs) (16). The recognition of PAMPs and DAMPs mainly rely on a series of pattern recognition receptors (PRRs), including Toll-like receptors (TLRs), RIG-I-like receptors (RLRs), Nod-like receptors (NLRs), AIM2-like receptor (ALRs), C-type lectin receptor (CLRs), and other DNA sensors (17, 18). PRRs recognize DAMPs and PAMPs, activate intracellular signaling cascades, and eventually lead to a series of immune responses. There are several myeloid cells involved in the innate immune responses, which include dendritic cells (DCs), monocytes, macrophages, polymorphonuclears, mast cells, and innate lymphoid cells (ILCs), such as natural killer cells (NKs) (19). Among them, DCs, macrophages, and NKs are the front-line cells of innate immunity. Normal cells can express major histocompatibility complex class I molecules (MHC I) on the cell surface, which inhibits NKs by acting on their Killer cell Ig-like Receptor (KIR). Tumor cells lack MHC-I molecules. NK cells lose their inhibitory signal when encountering MHC-I-deficient tumor cells. Thus, tumor cells are vulnerable to NK cell-mediated lysis (20). Macrophages exert cytotoxic effects through nonspecific phagocytosis.

Adaptive anti-tumor immune responses include humoral immunity and cellular immunity. In the humoral immune response, the immune system produces specific antibodies, thus exerting an anti-tumor effect. The mechanisms of tumor cell killing by antibodies can be summarized as the following: (1) The binding of the antibody and agonistic receptors to stimulate tumor immunity or effect tumor cell apoptosis (represented by the mitochondrion). The binding of the antibody and antagonist receptors can prevent dimerization, kinase activation, and downstream signaling, resulting in decreased proliferation and death (21). (2) Immune-mediated cell killing mechanisms (including, antibody-dependent cellular cytotoxicity (ADCC), complement-dependent cytotoxicity (CDC), and regulation of T cell function) (21, 22). (3) Antibody’s specific impact on tumor vasculature and stroma. Some antibodies can block the binding of tumor cell surface adhesion molecules and vascular endothelial cell surface adhesion molecules ligand, thereby preventing tumor cell growth, adhesion, and metastasis (23). The essential effector cells of cellular immunity are CD8+T cells (CTL) and CD4+ helper T cells (Th1). The former can specifically recognize the antigen peptide-MHC І complex presented by antigen presenting cells (APC), which can mediate direct cytotoxic effects through the release of perforin 1 (PRF) and granzyme B (24). The latter can recognize antigen peptide-MHC II complex presented by the APC and can release a great number of immunomodulatory cytokines to enhance the killing function of CTL, including interferon (IFN)-γ and interleukin-2 (IL-2) (25).

Cancer-Immunity Cycle

A series of progressive events must be initiated to enable innate and adaptive immune responses to kill tumor cells effectively. This process is also defined as the Cancer-Immunity Cycle. This cycle can be divided into several main steps: the release of cancer cell antigens (step 1); cancer antigen presentation by dendritic cells (DC)/APCs (step 2); the priming and activation of effector T cell (step 3); trafficking of T cells to tumors (step 4); T-cell mediated tumor cell killing (step 5) (26, 27). The destroyed tumor cells release TAAs to further enhance immune responses. In the Cancer-Immunity Cycle, each step requires the coordination of several factors, including stimulatory factors and inhibitory factors. Each step can activate the entire immune cycle by strengthening the positive regulatory signal or inhibiting the negative regulatory to achieve treatment. In the first stage, RT and other therapies can cause ICD and initially activate the immune system. Tumor vaccines can promote cycle step 2. Anti-CTLA4 can primarily promote cycle step 3. VEGF inhibitors may enhance T cell infiltration into tumors—cycle step 4. CARs (chimeric antigen receptors) can promote step 5 (represented by CAR-T). Anti-PD-L1 or anti-PD-1 antibodies can primarily promote cycle step 5 (26) (Figure 2).

FIGURE 2
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Figure 2 Effects of radiotherapy on the tumor microenvironment and potential strategies for the combination of radiotherapy with different immunotherapies. Created with BioRender.com. RT, radiotherapy; DAMPs, damage-associated molecular patterns; PRR, pattern recognition receptor; TME, tumor microenvironment; MDSCs, myeloid-derived suppressor cells; Tregs, T-regulatory cells.

Cancer Immunotherapy

At the end of the 19th century, William B. Coley, an American orthopedic surgeon, incidentally discovered an infection with Streptococcus pyogenes after surgery, and the patient’s cancer was relieved, which opened the door to immunotherapy for cancer for the first time (28, 29). Since then, many efforts have been attempted to better understand the critical role of the immune system in cancer progression. Immunotherapy, including ICIs, tumor vaccines, adoptive cell therapies, and cytokine therapies, has shown significant benefits in the treatment of various tumors, especially ICIs. The United States of America Food and Drug Administration (FDA) has approved PD-1/PD-L1 inhibitors to treat nine cancer types, including melanoma, non-small cell lung cancer, urothelial cancer, renal cell carcinoma, microsatellite instability or mismatch repair-deficient gastric cancer, colorectal cancer, hepatocellular carcinoma, and Merkel cell carcinoma (3033).

Insufficiency of Single Agent Immunotherapy

Some problems still exist in tumor immunotherapy. Firstly, only single immunotherapy is inefficient. Only 10% to 30% of patients respond to ICIs, and this is related to the complexity of the cancer cell immune system and the TME. Some studies have classified tumors based on the presence or absence of tumor-infiltrating lymphocytes (TILs) into the so-called cold and hot tumors. In short, hot tumors are tumors with infiltrating TILs, while cold tumors do not present any TILs. Tumors, such as melanoma and renal cell carcinoma, are more immunogenic and whose high levels of T cell infiltration are fertile ground for single ICIs or combination therapy (34). Although triple-negative breast cancer has relatively strong immunogenicity, it is still considered a cold tumor with lower TILs-infiltration and low expression of immune markers and cannot obtain an effective anti-tumor immune response through single-drug immunotherapy (35). Secondly, compared with chemotherapy, immunotherapy can lead to immune-related adverse events, which may occur in all organs, such as neurologic toxicity, renal toxicity, ocular toxicity, cardiovascular toxicity, hematologic toxicity (36). Moreover, the resistance mechanisms of tumor immunotherapy need further study.

Resistance Mechanisms of Immunotherapy

When malignant cells occur in the body, the body can eliminate malignant cells through the above innate and adaptive immune responses. However, during the process of cancer immunoediting, the immunogenicity of the tumor is altered, and the tumor cells can escape immunosurveillance in a variety of ways. The study of tumor immune resistance mechanisms helps researchers to identify and design new tumor immunotherapy methods. The mechanisms of immune resistance have not been fully understood, although several mechanisms have been proposed (3742) (Table 1).

TABLE 1
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Table 1 The potential mechanisms of immune resistance.

1. Intrinsic mechanisms of primary or adaptive resistance to immunotherapy.

1. Enhancement of the PI3K signaling pathway caused by activation of the MAPK pathway and loss of PTEN expression;

2. Continuous activation of the WNT/β-catenin signaling pathway;

3. Absence of the IFN-γ signaling pathway;

4. Upregulation of constitutive PD-L1 expression;

5. Other underlying mechanisms: Epigenetic changes in tumor cell DNA may lead to the expression of immune-related genes, thereby affecting antigen processing, presentation, and immune escape. Tumors with a high mutation load can present higher levels of new antigens, which can induce anti-tumor immune responses. However, in some tumors, the DNA mutation frequency and immunogenicity are low, which leads to the lack of a T cell response.

2. Intrinsic mechanisms of acquired resistance to immunotherapy.

1. T cells change their functional phenotype and lose their killing activity;

2. Downregulation of tumor antigen presentation: The function defects of proteasome subunits, transporters, MHC itself, and β-2-microglobulin (B2M) during antigen processing will lead to the failure of antigen presentation;

3. The tumor develops escape mutations: Mutations in JAK1/JAK2 may result in tumor escaping the antiproliferative effect of INF-γ. B2M is necessary for HLA class І folding and transporting to the cell surface, and its mutation will lead to the lack of CD8+ T cell recognition.

3. Extrinsic mechanisms of resistance to immunotherapy.

1. Expression of inhibitory immune checkpoints on T cells, including CTLA-4, PD-1, LAG-3, VISTA;

2. T cell exhaustion and phenotypic changes;

3. The existence of immunosuppressive cells in the TME: Tregs can inhibit the T cell response by secreting inhibitory cytokines or by direct cell contact. MDSCs can promote angiogenesis, tumor invasion, and metastasis. M2 macrophages can secrete inhibitory IL-10 and TGF-β, thereby inhibiting immune response and promoting tumor growth and metastasis;

4. The release of cytokines and tumor metabolites in the TME: Colony stimulating factor 1 (CSF-1) recruits tumor infiltrating myeloid cells (TIMs) that inhibit tumor immunity, including M2-like TAMs and MDSCs. Adenosine can inhibit T cell proliferation and cytotoxicity through A2A receptors on T cells. Tryptophan metabolites have a direct negative defect on effector T cell function.

Cancer Radiotherapy

With improvements in the precision of RT, it has become a key treatment option in modern cancer management (43, 44). Radiation can destroy cells in the irradiated area. There are currently several advanced technologies, including intensity-modulated radiation therapy (IMRT), image-guided RT (IGRT), high dose rate (HDR), brachytherapy (BT), stereotactic ablative body radiotherapy (SABR), proton therapy, and carbon ion radiotherapy (CIRT) (4547). Proton heavy ion therapy is currently internationally recognized as the most advanced and ideal tumor RT technology. It has high accuracy, strong killing power, and a wide application range in the treatment of tumors. Furthermore, proton heavy ion RT is a noninvasive treatment (48). With the advancement of heavy ion therapy equipment and technology, the decline of treatment costs, and the advancement of research, heavy ion therapy will gradually be popularized in various countries across the world.

Immunological Effects of Radiotherapy

Traditionally, it is believed that the mechanism of RT is to cause irreparable DNA damage and induce different types of tumor cell death, such as apoptosis, necrosis, autophagy, mitotic catastrophe, and senescence. The most typical mechanism involves double-strand breaks (DSB) (4951). However, increasing preclinical and clinical data shows that RT can affect not only the local tumor but also activate the immune system and induce ICD, which can explain the abscopal effect (45, 52).

(1) Immunogenic Cell Death

Chemical drugs and radiation can induce tumor cell apoptosis and up-regulate characteristic protein molecules on the surface of apoptotic cells. These characteristic protein molecules induce the maturity of DCs and activate tumor-specific CTLs to kill tumor cells. Apoptosis of tumor cells caused by this process is called immunogenic cell death (ICD) (53, 54). The immune signaling molecules involved in this process are called danger-associated molecular patterns (DAMPs), such as calreticulin (CRT), adenosine triphosphate (ATP), heat shock protein (HSP), and high mobility group protein B1(HMGB1) signaling molecules (55).

DAMPs mainly initiate specific anti-tumor immune responses through the following mechanisms: (1) DAMPs are released and lead to cell death and the production of cellular antigens; (2) DAMPs stimulate the maturity of immature DCs and improve the ability of DCs to recognize tumors and present antigens;(3) Mature DCs activate tumor attack by specific CTLs. During this process, DCs provide three signals to activate T cells: (1) via the formation of the antigenic peptide/MHC-I and antigenic peptide/MHC-II complex for recognition by CD8+T cells and CD4+T cells, respectively; (2) by the activation of naive T cells and costimulatory receptors on the surface of DCs, such as CD80, which is necessary for effective T cell activation; (3) via additional polarization and differentiation signals delivered from DCs, including IL-12 or type I IFNs that are crucial for T cell differentiation into T cell effectors (5557). In summary, RT can lead to cancer cell necrosis through the above mechanisms, releasing plenty of antigens and attracting immune cells to chemotaxis to the tumor site to kill cancer cells.

(2) Abscopal Response

In 1953, Mole et al. (58) found that when the local tumor lesions were irradiated, the tumor lesions outside the irradiation target area were also reduced, and they proposed the concept of “Abscopal response”. To date, the abscopal response has been reported in a variety of solid tumors, including melanoma, renal cell carcinoma, breast cancer, and hepatocellular carcinoma. With further research on the anti-tumor immune mechanism of the body, it is now well known that there are two main reasons for the abscopal effect of RT: (1) the lethal dose of irradiation induces immunogenic cell death (ICD) and (2) non-lethal dose irradiation induces immunoregulatory effects on tumor cells. By changing the immunological phenotype of tumor cells and enhancing the function of T cells, the killing ability of tumor cells is increased. Studies have shown that radiation can improve the ability of CTL cells to recognize and kill tumors by increasing the expression of TAAs and MHC-I on tumor cells (59). In a study of innate and adaptive immune cells in the TME, Gajewski et al. emphasized that RT induces the activation of innate immune pathways (including TLRs, NLRs, and STING pathways), which can activate DCs and promote the proliferation of T cells (60).

Insufficiency of Single Radiotherapy

Radiation alone cannot kill all cancer cells. When the radiation enters the body, two ionization effects are produced. One is a direct effect on molecular DNA. The second is an indirect effect. Radiation can ionize water molecules to produce H+ and OH-, which can directly act on DNA molecular chains in cancer cells to cause molecular chain rupture. This indirect effect requires oxygen. Therefore, some types of tumors in an anoxic state are not sensitive to radiation. Hypoxia in hypoxic tumors causes less DNA damage at the same dose of radiation compared with well oxygenated ones. Meantime, Hypoxia will lead to the activation of the HIF signaling pathway. The activation of HIF1 can affect the expression of hundreds of genes, including vascular endothelial growth factor (VEGF) and angiopoietin-1 (ANGPT1), which can promote tumor survival (61). It also drives the expression of key enzymes in glycolysis, leading to the accumulation of lactic acid, pyruvate, antioxidants glutathione, and NADPH to limit DNA damage (62).

Moreover, changes induced by RT in the TME are very contradictory (63). RT enhances the recruitment of anti-tumor T lymphocytes to the TME by regulating adhesion molecules. Conversely, RT leads to the recruitment of MDSCs and Treg cells in TME and promotes immune tolerance to tumor cells (64). Studies have also shown that RT can increase the expression of PD-L1 in TME cells, especially DC cells, and the up-regulation of PD-L1 expression inhibits CTLs activity both in vitro and in vivo, and thus promote tumor growth (65). Reactive oxygen species (ROS) produced by RT enhance the activation of TGF-β, which is a crucial barrier to inhibit RT-induced T cell response to various endogenous tumor antigens (66). Furthermore, precise RT techniques, such as IMRT, maximize tumor dose and minimize organ dose, reducing the toxicity of RT, but some patients still experience adverse reactions. The side effects of RT include short-term toxicity and long-term consequence. Short-term adverse reactions occur during treatment or within 3 months after RT, such as mucositis, which is usually cured in weeks to months. Late effects, such as fibrosis, are usually considered irreversible. The early and late toxicity of RT largely depends on targeted tissue, including acute gastrointestinal (GI) damage, cardiac toxicity, cognitive impairment, reproductive disorders, deformity and impairments to bone growth, hair loss (67). In addition to optimizing physical techniques, an obvious way to prevent adverse effects of RT is to reduce the radiation dose that affects normal tissues, such as the combination with other treatments.

Combination Therapy Between Immunotherapy and Radiotherapy

As mentioned above, hypoxic cells in tumor tissue are resistant to RT, which is one of the reasons for tumor recurrence after radiotherapy. The low response rate of immunotherapy also needs to be improved. More and more clinical and preclinical studies have shown that RT and immunotherapy can be complementary in recent years. Radiotherapy can induce ICD, release tumor neoantigens (TANs), and stimulate anti-tumor immune effect in vivo. Cancer patients receiving RT showed distinct immunogenic patterns, which may improve the response of immunotherapies, especially when it is used in combination with immune-stimulating drugs such as immune checkpoint inhibitors (68). At the same time, immunotherapy may make the tumor more sensitive to RT, thus providing a unique benefit for local treatment of tumors.

To date, exploring the synergistic effects of RT and immunotherapy is a reasonable solution, and many preclinical and clinical studies have yielded some results in combination therapy for tumor control (69). At present, RT combined with immunotherapy mainly starts from several directions. One is to promote tumor antigen recognition and presentation, such as using GM-CSF, toll-like receptor agonists; The other is to eliminate the immunosuppressive factors in the tumor microenvironment, mainly by using immune checkpoint inhibitors, such as CTLA-4 inhibitors and PD-1/PD-L1 inhibitors. Other approaches are also emerging, such as adoptive cell therapy.

Combination of Immune Checkpoint Inhibitor Therapy and Radiotherapy

ICIs treatment targeting programmed cell death receptor 1 (PD-1) and programmed cell death ligand 1 (PD-L1) have shown solid clinical efficacy (70, 71). The expression of PD-L1 is representative predictive biomarkers of PD-1/PD-L1 inhibitor response. At present, blocking antibodies against PD-1 or PD-L1 have been developed and approved for the treatment of various advanced cancers, including non-small cell lung cancer (NSCLC), which is the most successful ICIs application (72). Although this treatment can achieve long-lasting effects in some patients, the current trial data shows that more than half of the patients still fail to show a significant response to checkpoint blockers (71). For example, a large proportion of patients with advanced NSCLC are resistant to inhibitors, and only a small number of patients benefit from PD-1/PD-1 inhibitors (73). Therefore, other therapies need to be combined to enhance and drive anti-tumor responses in patients who currently do not respond. As mentioned above, the effects of RT on the immune system include activation and inhibition. The combination of SBRT and PD-1/PD-L1 inhibitors can enhance positive immune regulation. The enhanced expression of PD-L1 induced by SBRT can make patients more sensitive to subsequent PD-1/PD-L1 inhibitors (74).

The combination of RT and anti-PD-1/PD-L1 antibodies is a promising strategy supported by many preclinical and clinical evidence (9). Preclinical studies have shown that low-grade RT combined with PD-1/PD-L1 inhibitors can improve the survival rate of mouse models of melanoma, renal cell carcinoma, breast cancer, and NSCLC and prevent tumor recurrence (7577). In 2013, Zeng et al. reported the combination of anti-PD-1 antibody and stereotactic radiation therapy (SRT) could improve the survival rate of mice with intracranial glioma (78). A secondary analysis of phase 1 KEYNOTE-001 trial suggested that patients with advanced NSCLC treated with RT had longer progression-free survival and overall survival than those who did not receive RT before pembrolizumab treatment (79). In a retrospective study, the data of 208 patients receiving stereotactic radiosurgery (SRS) or whole-brain radiation therapy combined with CPIs or BRAF/MEK inhibitors were analyzed. The results showed that patients treated with anti-PD-1+ anti-CTLA-4 or anti-PD-1 alone combined with SRS had the best survival rate, and the 12-month survival rates were 100% and 70%, respectively (80).

Combination Therapy Between Tumor Vaccine and RT

The tumor vaccine has been a research hotspot in recent years. Unlike the mechanism of traditional vaccines for disease prevention, tumor vaccines aim to expand the response of tumor-specific T cells by enhancing active immunity, attacking the formed tumors, and achieving the purpose of removing or controlling tumors. It has long been considered as possible and practical cancer immunotherapy (4, 81). According to the delivery method of antigen, tumor vaccines are mainly divided into peptide/protein vaccines, cell vaccines (such as tumor cell vaccines, DC vaccines, and engineered cell vaccines), nucleic acid vaccines (such as DNA vaccines and RNA vaccines) and viral vector vaccines (82, 83). At present, although hundreds of therapeutic tumor vaccines are in the clinical evaluation stage, the US FDA has only approved three therapeutic tumor vaccines:(1) Bacillus Calmette-Guerin (BCG), used for non-muscle-invasive bladder cancer (NMIBC); (2) DC vaccine (Sipuleucel-T), used for metastatic castration-resistant prostate cancer; (3) Talimogene laherparepvec (T-VEC), used to treat advanced melanoma. The three vaccines were approved based on their superior survival rates (Sipuleucel-T and T-VEC), more prolonged disease-free survival (BCG), and sustained efficacy (T-VEC) (84). Among them, Sipuleucel-T is the FDA-approved tumor vaccine for therapeutic purposes, which is a landmark breakthrough in the field of tumor therapeutic vaccines (85).

Vaccines alone are not sufficient to induce an immune response strong enough to eradicate tumors. Effective anti-tumor response requires the synergy of CD4+ T cells, tissue-resident memory T cells (TRM), and other immune cells. However, most vaccines currently focus on inducing CD8+ T cells. There is evidence that the combination of cancer vaccine and RT can produce a synergistic effect, enhance the immune response in vivo. RT can up-regulate major histocompatibility complex (MHC), apoptosis-related receptors, soluble intercellular adhesion molecule-1 (ICAM-1), TAA and enhance vaccine-mediated tumor cell lysis. Low-dose RT can make tumor cells more sensitive to effector T cells (8688). Currently, many trials that combine vaccines with RT are underway. According to the results of preclinical studies on mouse models, it was found that the combination of RT and DC-based vaccines pulsed with high hydrostatic pressure (HHP)-inactivate tumor cells could significantly retard tumor growth by generating a favorable tumor immune microenvironment (89). Wang et al. treated esophageal cancer patients with DC loaded with heat shock apoptotic esophageal cancer cell antigen combined with RT. The serum levels of IL-2, IL-12, and IFN-γ, and the proportion of CD8 + T cells were significantly higher in patients than in the baseline and RT alone groups at the 2-year follow-up. The 1-year and 2-year survival rates were also improved (90).

Combination Therapy Between Adoptive Cell Therapy and RT

Adoptive cell therapy (ACT) is an individualized tumor treatment method. ACT can target antigen-specific tumor cells by isolating immunoreactive cells from patients, inducing differentiation, modification, and amplification in vitro, and then transfusing them back into patients. ACT mainly includes tumor infiltrating lymphocytes (TIL), Lymphokine-Activated Killer Cells (LAK), cytokine-induced killer (CIK), DC, NK, CAR-T, and TCR-T, among which CAR-T cell therapy is a hot research topic. CAR-T enables the patient’s T cells to express the chimeric antigen receptor (CAR) through gene transduction. The modified T cells are returned to the patient’s body to generate many CAR-T cells that specifically recognize tumors and kill tumor cells (9193). CAR-T cells have a particular effect in treating solid tumors such as renal cell carcinoma, HER2 positive sarcoma, ovarian cancer (94), and colorectal cancer (95). In 2017, the US FDA approved for the first time two targeted CD19-targeted CART-cells: Tisagenlecleucel and Axicabtagene Ciloleucel for the treatment of childhood acute lymphoblastic leukemia and adult advanced sizeable B-cell lymphoma, respectively (96).

With the approval of four autologous CAR-T therapies targeting CD19 (Kymriah, Yescarta, Tecartus, and Breyanzi), the significant efficacy of CAR-T therapy has gradually been recognized in the industry (97). However, the response of CAR-T cells therapy in 90% of patients with solid tumors is still inadequate. Moreover, many patients relapse because tumors escape by antigen loss or modulation, and the immune memory is not guaranteed (98, 99). Therefore, promoting the migration of CART cells to tumor sites and improving the immunosuppressive microenvironment that may inhibit the function and persistence of CAR-T cells are very important for improving the therapeutic effect (100). Studies have shown that RT combined with CAR-T therapies may be more effective than single CAR-T therapies alone. The early results of preclinical data support the hypothesis that RT can promote CAR-T cell activity in solid tumors (101).

Preclinical studies have shown that the subtherapeutic dose of local RT combined with NKG2D-based CAR T cells can promote the migration of CAR-T cells to the tumor site, resulting in a synergistic effect in two independent syngeneic mouse glioma models (101). In the pancreatic cancer model with heterologous expression of sialyl Lewis-A (sLeA), the author found that not only sLeA+ but also sLeA- tumor cells irradiated by low-dose radiation were also susceptible to CAR treatment, reducing the recurrence of antigen-negative tumors (102). Another study showed that BCMA-targeted CAR T-cell therapy plus RT for the treatment of refractory myeloma reveals offers potential synergies in patient outcomes (103).

Combination Therapy Between Cytokine Therapy and RT

Cytokines are the main regulatory factors of innate and adaptive immunity. In the process of immunotherapy, cytokines directly stimulate immune effector cells in tumor sites, enhance cytotoxicity, and enable immune cells to communicate in a short distance (104). Through the study of animal tumor models, it was found that cytokines had extensive anti-tumor activities. IFN-α, GM-CSF, IL-2, IL-12, IL-15, and IL-21 were effective in various murine cancer models (105108). At present, the US FDA has approved many cytokine drugs, such as IFN-α, which was approved for adjuvant treatment of stage III melanoma patients and several refractory malignant tumors. High-dose interleukin-2 (HDIL-2) was approved for the treatment of renal cell carcinoma and melanoma.

Due to its dose-limiting severe toxicity, cytokines have not achieved the efficacy prospect of preclinical trials in single-drug treatment. For example, although IL-2 therapy shows high cardiovascular, gastrointestinal, neurological, lung, liver, kidney, and hematological toxicity (109, 110), it has an essential auxiliary function and has great therapeutic potential in combination with other treatment strategies. Some studies on cytokine therapy combined with RT are ongoing. In the colon cancer model, radiation combined with L19-IL2 can cause systemic anti-tumor response and control tumor progression. This combination increases the phenotype of memory-like CD8+ T cells and prevents tumor recurrence (111). Demaria et al. reported that RT and adjuvant IL-15 produced the maximum anti-tumor response in breast cancer mouse models, which was attributed to increased tumor infiltration of NK, CD4+, and CD8+ T cytotoxic lymphocytes. In addition, TNF-α before RT has shown benefits. Cell colony-stimulating factor (GM-CSF) also showed benefits after RT.

Application of Nanomaterials in Immunotherapy and Radiotherapy

At present, most immunotherapy drugs are biomacromolecule drugs. How to maintain the activity of these drugs, improve drug targeting, and reduce side effects is a problem that needs to be resolved. In addition, because of the abnormal tumor vascular structure and the excessive oxygen metabolism in tumor tissue, the TME is usually hypoxic. Hypoxic cells are not sensitive to radiation, leading to the failure of RT (112, 113). In recent years, the emergence of functional nanomaterials has brought new hope for tumor immunotherapy and RT. Nanomaterials are expected to overcome the limitations of traditional drug delivery systems, including low water solubility, low bioavailability, multidrug resistance, and non-specificity (114, 115). In addition, considerable research has shown that multifunctional nanomaterials can be used as RT sensitizers, which can make tumor local temperature rise and improve tumor hypoxia through photoelectric effect and photothermal effect, to improve the curative effect of RT (116118).

Targeted Drug Delivery System Based on Nanomaterials

Nano drug delivery systems (NDDs) are drug delivery systems of nanometer size (1–100 nm), a hotspot in the research of new drug delivery systems, with many advantages. First, they can be designed to protect therapeutic drugs until they are delivered to target cells, thereby reducing toxic side effects (119). Second, delivery systems can achieve spatiotemporal control of the treatment if they are responsive to stimuli such as pH, temperature, or light, thus keeping the cargo inactivated until it accumulates in the target cell (120, 121). Thirdly, due to the difference in carrier materials, some nano-delivery systems can increase the solubility of drugs, while others can control the release rate of drugs to achieve the effect of slow and controlled release (122). In 1995, researchers released the first liposome-based nanomedicine doxorubicin for cancer treatment. Currently, a variety of NDDs have been used in immunotherapy. Generally, drug carriers based on nanomaterials can be divided into three main groups: Organic carriers, inorganic carriers, and biomimetic nanocarriers (123, 124). Organic nanoparticles (NPs) as drug delivery systems mainly include: lipid-based NPs (liposomes), polymer-based NPs and micelles, synthetic low-density lipoprotein (LDL), dendrimers, biodegradable polyesters, albumin-based nanovectors, realgar NPs, polysaccharide polymer, citrus lemon-derived nanovesicles (123, 125). Inorganic NPs mainly include carbon NPs such as fullerenes, metallic NPs such as gold NPs, ceramic NPs, and other metal and nonmetal NPs (126). Biomimetic nanomaterials for drug delivery mainly use cell membranes such as red blood cell membrane, immune cell membrane, cancer cell membrane, and platelet membrane (127). To date, several clinical trials investigating immunotherapy-based on nanomaterials are underway (Table 2).

TABLE 2
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Table 2 Clinical trials about immunotherapy based on nanomaterials.

In Organic carriers, liposomes have attracted much attention. The liposome is a suitable drug carrier with high encapsulation efficiency, good targeting, and low toxicity (128). Its structure is similar to the cell membrane so that hydrophilic therapeutic agents can be encapsulated in liposomes, and hydrophobic therapeutic agents can be encapsulated in lipid bilayers. The liposome can deliver drugs to the cytoplasm of the cell by fusing the liposome into the lipid bilayer of the cell (129). Adjuvant in the liposome is a promising adjuvant strategy for immunogenicity vaccines, and plenty of preclinical studies are being carried out. Li et al. designed a nanoliposome composite (IR-7-Lipo/HA-CpG) coated with multivalent immune adjuvant (HA-CpG) and a photothermal sensitive agent inside for tumor photothermal ablation and combined immunotherapy. Under 808 nm laser irradiation, IR-7-Lipo can induce tumor cell necrosis and release tumor-associated antigens (TAAs), while immune adjuvant can promote antigen presentation. The results showed that IR-7-Lipo/HA-CpG can significantly regulate tumor microenvironment. Vivo experiments also showed effective tumor eradication and metastasis inhibition in mice (130).

Inorganic nanomaterials have unique optical, electrical, and magnetic properties. Therefore, they usually have the effect of photothermal therapy (PTT) and photodynamic therapy (PDT) in tumor immunotherapy (131), which is a suitable drug carrier as well as tumor therapeutic agent. Zhang et al. developed a new type of gold nanoparticle (AuNP) for tumor photothermal and immunotherapy. The experimental results show that the high photothermal conversion efficiency and photostability of AuNP can significantly improve the therapeutic effect of tumor photothermal therapy. At the same time, the surface modification of AuNP endows the material with immune characteristics and finally achieves the combined treatment of tumor photothermal and immune activation to improve the therapeutic effect (132). Inorganic nanoparticles have become a research hotspot in the biomedical field in recent years. Some inorganic nanoparticles have been used in clinical practice, but the study of their toxicity in vivo, biological distribution, and removal methods is still a challenge.

In recent years, nanocarriers based on bionics have been designed, such as red blood cells, exosomes, pathogens, tumor cell membranes (133, 134). Compared to conventional nanomaterials, bionic nanomaterial have natural structures, therefore have vital targeting and good biocompatibility, can deliver drugs to target cells or tissues (127). Deng et al. constructed a type of nanoparticle (NK-NPS) disguised by the NK cell membrane, loaded with photosensitizer 4,4’,4’’,4’’’-(Porphine-5,10,15,20-tetrayl) tetrakis (benzoic acid) TCPP. Photodynamic therapy (PDT) combined with immunotherapy can not only eliminate primary tumors but also effectively inhibit the growth of distal tumors. Therefore, the engineered NK cell-like nanoparticles in this study can provide a general strategy for effective cell membrane immunotherapy (135). Chen et al. selected ZIF-8 nanoparticles to load therapeutic proteins to form biomimetic nanocarriers (MP) and then used natural extracellular vesicles (EVM) to encapsulate MP nanocarriers to assemble EMP nanotransporters. The strategy of wrapping extracellular vesicles can not only effectively protect proteins from the degradation of proteases in the blood and the phagocytosis of phagocytes, but also help to penetrate the barrier of the cell membrane (136).

Radiosensitizers Based on Nanomaterials

Nanomaterials have been widely used to improve the efficacy of RT because of their good biocompatibility, inherent radiosensitivity, and physicochemical properties such as enhanced permeability and retention effect in tumor tissues (137). The mechanisms of these radiosensitizers to improve the efficacy of RT are as follows (138, 139): (1) Enhanced absorption of ionizing radiation energy by tumor cells; (2) Some photocatalytic semiconductor nanoparticles can promote the generation of ROS under X-ray excitation, thereby enhancing the effect of RT (2); (3) Deplete GSH in tumor and then overcome the GSH-associated radioresistance and thus improve the therapeutic of RT; (4) Adjust cell cycle/signal pathway to make tumor cells more sensitive to radiation.

At present, plenty of preclinical radiosensitizers based on nanomaterials are underway. Song et al. designed a liposome-loaded anti-CLTA4 antibody that encapsulated H2O2 enzymes and H2O2 for IRT. Under X-ray irradiation, H2O2 enzyme and H2O2 produce O2 to alleviate tumor hypoxia and enhance RT efficacy and release anti-CLTA4 antibodies to increase the infiltration of cytotoxic T lymphocytes into tumor tissues (140). Liu et al. prepared PLGA nanoparticles loaded with immune adjuvant R837 and catalase, and catalase decomposed hydrogen peroxide in the tumor, which could improve tumor hypoxia for tumor RT sensitization. Radiotherapy could trigger the immunogenicity death of cancer cells, and tumor fragments were used as TAAs. Under the action of nanoparticles loaded with the immune adjuvant, an anti-tumor immune response was stimulated and then combined with ICIs to inhibit the growth of distal tumors effectively (141). Gao et al. nitrosylated maytansinoid DM1, and then the obtained prodrug DM1-NO was loaded onto poly(lactide-co-glycolic)-block-poly (ethylene glycol) (PLGA-b-PEG) nanoparticles. Under irradiation, oxidative stress increased, leading to the cleavage of S-N bond and the release of DM1 and NO, both of which are potent radiosensitizers. DM1 leads to cell enrichment at the more radiosensitive G2/M phase. NO forms toxic free radicals such as peroxynitrite under irradiation. The synergistic effect of these two components enhances the radiotherapy outcomes (142). Currently, many clinical trials about radiosensitizers based on nanomaterials are also in progress (Table 3).

TABLE 3
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Table 3 Clinical trials about radiosensitizers based on nanomaterials.

Therefore, the application of nanomaterials in the combined treatment of immunotherapy and radiotherapy can effectively improve the radiotherapy effect of lesion sites and can also load immunotherapy drugs to achieve collaborative treatment, which has become a new trend in tumor therapy. Ni et al. reported the design of two porous Hf-based nanoscale metal-organic frameworks (nMOFs). Hafnium oxide, as an effective radiosensitizer, not only has a radiosensitizing effect, but also causes ICD. The combination of hafnium oxide and anti-PD-L1 antibody can significantly elicit systemic anti-tumor immunity and produce good anti-cancer effects (143). Patel et al. successfully synthesized the complex, a multifunctional bacterial membrane-coated nanoparticle (BNP) composed of an immune-activating PC7A/CpG polyplex core coated with bacterial membrane and imide groups. BNP is used in combination with RT for in situ vaccination. Radiotherapy promotes TAAs release. Bacterial membrane captures tumor-related antigen and promotes DC uptake. Immunoadjuvant, PC7A/CpG polyple, further enhances antigen presentation of dendritic cells. The combination of BNP and RT can significantly eliminate tumors and induce tumor-specific anti-tumor immune memory (144).

However, there are still many challenges in conversion to future clinical application. In terms of biological safety, the physical effects of nano-systems should be evaluated, including biocompatibility, long-term toxicity, biodegradation. In terms of efficacy, nanocarriers’ size, morphology, chemical composition, and surface properties should be optimized to ensure the efficient accumulation of tumors. In addition, there are still some challenges in biomedical applications on how to achieve optimal radiation energy accumulation at significantly low radiation doses and minimize systemic side effects.

Prospects and Challenges of Combined Immunotherapy With Radiotherapy

Although some clinical studies have confirmed the phenomenon of local RT combined with immunotherapy to stimulate abscopal response, the optimal combination strategy of RT combined with immunotherapy still needs to be further explored (145147), including: (1) What are the best sequences to follow when combing RT with immunotherapy? Different studies have shown that the optimal timing of immunotherapy combined with RT is different, which is still controversial at present. IMMUNOBrainZH, a multicenter retrospective study in France, showed that patients with NSCLC intracranial metastases treated with nivolumab at intervals of less than three months were better than those treated at intervals of more than three months, with intracranial remission rates of 30.0% and 6.7% (148). This study suggested that early interventional immunotherapy after RT has a better clinical effect. However, a retrospective study reported at the 2019 American Society of Clinical Oncology (ASCO) meeting showed that patients with stage IV NSCLC received immunotherapy at least three weeks after SBRT, whose OS had obvious advantages compared with earlier immunotherapy (median OS was 19 months versus 15 months, P = 0.0335) (149). (2) What are the optional fraction and dose selection? Conventional fraction RT and large fraction RT are commonly used in clinical at present. Which fraction RT can maximize the abscopal response and further enhance the tumor-specific immune effect is still controversial. In the mouse model of prostate cancer, researchers found that high-dose fraction RT combined with PD-1 antibody immunotherapy was more effective in reversing the immunosuppressive microenvironment and controlling primary and distal metastatic tumors than conventionally fractionated radiotherapy (64). However, a study has also found that conventional fractionation RT combined with PD-L1 blockers can enhance the cytotoxicity of cytotoxic T cells and overcome the immune tolerance mediated by conventional fraction RT (150). (3) How to select the best immunotherapy to combine with RT? Single immunotherapy combined with RT may have the risk of drug tolerance. Therefore, the optimal combination of multiple immune-directed strategies and RT may be required to maximize the systemic anti-tumor immune activation (146). (4) The normal tissue toxicity and safety of the combination therapy. It has been reported that patients treated with both ICI and SBRT can develop radiation pneumonia, even though it is not clear whether SBRT or combined with ICI can enhance radiation pneumonia (151). Liu et al. reported three patients who received RT before anti-PD-1 treatment and developed pneumonia after four cycles of anti-PD-1 treatment (152). (5) What biomarkers are beneficial for deciding on the fine candidates for immuno-radiotherapy? Selecting appropriate biomarkers to determine which patients will benefit from combination therapy may help predict the clinical outcomes of patients receiving radioimmunotherapy (153). (6) How to increase the number of systemic anti-tumor reactions to an effective abscopal response? Dewan et al. carried out a preclinical study of large fraction RT combined with anti-CTLA-4 antibody in breast cancer. The study found that the group of 8 Gy × 3 times and 6 Gy × 5 times dose had abscopal response, and the former effect was more obvious, while the group of 20 Gy × 1 time did not observe abscopal response (154).

However, the number of preclinical and clinical studies on the combination of immunotherapy and RT continue to increase. In 2016, a study presented 93 activity trials that combined RT with inhibition of CTLA-4, PD-1, and PD-L1, transforming growth factor β -cytokines, or other immune molecules (155). In 2021, a random trial presented that adding RT to pembrolizumab immunotherapy significantly increased responses and outcomes in patients with metastatic non-small-cell lung cancer (156). A pooled analysis of two randomized trials showed that SBRT and pembrolizumab combined with trametinib were a new potential treatment option for patients with locally recurrent pancreatic cancer following surgical resection (157). If the results of more and more clinical trials are positive, it will determine how best to integrate these models and optimize synergy.

Conclusion

To date, an increasing number of immunotherapy methods have been applied to the clinic, and a considerable amount of literature has reported the research results of RT combined with immunotherapy. However, large-scale clinical data are still limited about the combination of RT with various types of immunotherapies. How to reduce the side effects of combination therapy and how to find the optimal combination strategy of RT and immunotherapy (the optimal dose segmentation pattern sequential or synchronous) still needs to be further explored. At the same time, majority of drug delivery systems based on nanoparticles are still in the early stages of development, and their clinical application is still challenging. However, with the continuous development of nanotechnology, nanomaterials will be better used in tumor treatment and will achieve more favorable outcomes soon.

Author Contributions

SY, YW, and PH contributed equally to this manuscript. BS, FL, ZX, TY, YZ were responsible for guiding the writing of the paper. TH, JM, and XW were responsible for the collection of literature materials. LL is responsible for the overall revision. All authors contributed to the article and approved the submitted version.

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.

Acknowledgments

We thank our colleagues for the critical reading of the manuscript.

References

1. Allen C, Her S, Jaffray DA. Radiotherapy for Cancer: Present and Future. Adv Drug Delivery Rev (2017) 109:1–2. doi: 10.1016/j.addr.2017.01.004

CrossRef Full Text | Google Scholar

2. Ghaemi B, Mashinchian O, Mousavi T, Karimi R, Kharrazi S, Amani A. Harnessing the Cancer Radiation Therapy by Lanthanide-Doped Zinc Oxide Based Theranostic Nanoparticles. ACS Appl Mater Interfaces (2016) 8:3123–34. doi: 10.1021/acsami.5b10056

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Galluzzi L, Humeau J, Buqué A, Zitvogel L, Kroemer G. Immunostimulation With Chemotherapy in the Era of Immune Checkpoint Inhibitors. Nat Rev Clin Oncol (2020) 17:725–41. doi: 10.1038/s41571-020-0413-z

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Sahin U, Türeci Ö. Personalized Vaccines for Cancer Immunotherapy. Science (2018) 359:1355–60. doi: 10.1126/science.aar7112

PubMed Abstract | CrossRef Full Text | Google Scholar

5. June CH, O'Connor RS, Kawalekar OU, Ghassemi S, Milone MC. CAR T Cell Immunotherapy for Human Cancer. Science (2018) 359:1361–5. doi: 10.1126/science.aar6711

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Silk AW, Margolin K. Cytokine Therapy. Hematol Oncol Clin North Am (2019) 33:261–74. doi: 10.1016/j.hoc.2018.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Farkona S, Diamandis EP, Blasutig IM. Cancer Immunotherapy: The Beginning of the End of Cancer? BMC Med (2016) 14:73. doi: 10.1186/s12916-016-0623-5

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ahn GO, Tseng D, Liao C-H, Dorie MJ, Czechowicz A, Brown JM. Inhibition of Mac-1 (CD11b/CD18) Enhances Tumor Response to Radiation by Reducing Myeloid Cell Recruitment. Proc Natl Acad Sci USA (2010) 107:8363–8. doi: 10.1073/pnas.0911378107

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Shevtsov M, Sato H, Multhoff G, Shibata A. Novel Approaches to Improve the Efficacy of Immuno-Radiotherapy. Front Oncol (2019) 9:156. doi: 10.3389/fonc.2019.00156

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Rodríguez-Ruiz ME, Vanpouille-Box C, Melero I, Formenti SC, Demaria S. Immunological Mechanisms Responsible for Radiation-Induced Abscopal Effect. Trends Immunol (2018) 39:644–55. doi: 10.1016/j.it.2018.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Portella L, Scala S. Ionizing Radiation Effects on the Tumor Microenvironment. Semin Oncol (2019) 46:254–60. doi: 10.1053/j.seminoncol.2019.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Mi P, Cabral H, Kataoka K. Ligand-Installed Nanocarriers Toward Precision Therapy. Adv Mater (2020) 32:e1902604. doi: 10.1002/adma.201902604

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Shi Y, Lammers T. Combining Nanomedicine and Immunotherapy. Acc Chem Res (2019) 52:1543–54. doi: 10.1021/acs.accounts.9b00148

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Chen J, Fan T, Xie Z, Zeng Q, Xue P, Zheng T, et al. Advances in Nanomaterials for Photodynamic Therapy Applications: Status and Challenges. Biomaterials (2020) 237:119827. doi: 10.1016/j.biomaterials.2020.119827

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Vesely MD, Kershaw MH, Schreiber RD, Smyth MJ. Natural Innate and Adaptive Immunity to Cancer. Annu Rev Immunol (2011) 29:235–71. doi: 10.1146/annurev-immunol-031210-101324

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Cui J, Chen Y, Wang HY, Wang R-F. Mechanisms and Pathways of Innate Immune Activation and Regulation in Health and Cancer. Hum Vaccin Immunother (2014) 10:3270–85. doi: 10.4161/21645515.2014.979640

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Akira S, Uematsu S, Takeuchi O. Pathogen Recognition and Innate Immunity. Cell (2006) 124:783–801. doi: 10.1016/j.cell.2006.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Paludan SR, Bowie AG. Immune Sensing of DNA. Immunity (2013) 38:870–80. doi: 10.1016/j.immuni.2013.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Demaria O, Cornen S, Daëron M, Morel Y, Medzhitov R, Vivier E. Harnessing Innate Immunity in Cancer Therapy. Nature (2019) 574:45–56. doi: 10.1038/s41586-019-1593-5

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Vivier E, Tomasello E, Baratin M, Walzer T, Ugolini S. Functions of Natural Killer Cells. Nat Immunol (2008) 9:503–10. doi: 10.1038/ni1582

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Scott AM, Wolchok JD, Old LJ. Antibody Therapy of Cancer. Nat Rev Cancer (2012) 12:278–87. doi: 10.1038/nrc3236

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Hosseini SS, Khalili S, Baradaran B, Bidar N, Shahbazi M-A, Mosafer J, et al. Bispecific Monoclonal Antibodies for Targeted Immunotherapy of Solid Tumors: Recent Advances and Clinical Trials. Int J Biol Macromol (2021) 167:1030–47. doi: 10.1016/j.ijbiomac.2020.11.058

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Beers SA, Glennie MJ, White AL. Influence of Immunoglobulin Isotype on Therapeutic Antibody Function. Blood (2016) 127:1097–101. doi: 10.1182/blood-2015-09-625343

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Galluzzi L, Buqué A, Kepp O, Zitvogel L, Kroemer G. Immunological Effects of Conventional Chemotherapy and Targeted Anticancer Agents. Cancer Cell (2015) 28:690–714. doi: 10.1016/j.ccell.2015.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Fridman WH, Pagès F, Sautès-Fridman C, Galon J. The Immune Contexture in Human Tumours: Impact on Clinical Outcome. Nat Rev Cancer (2012) 12:298–306. doi: 10.1038/nrc3245

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Chen DS, Mellman I. Oncology Meets Immunology: The Cancer-Immunity Cycle. Immunity (2013) 39:1–10. doi: 10.1016/j.immuni.2013.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Horton BL, Fessenden TB, Spranger S. Tissue Site and the Cancer Immunity Cycle. Trends Cancer (2019) 5:593–603. doi: 10.1016/j.trecan.2019.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Decker WK, da Silva RF, Sanabria MH, Angelo LS, Guimarães F, Burt BM, et al. Cancer Immunotherapy: Historical Perspective of a Clinical Revolution and Emerging Preclinical Animal Models. Front Immunol (2017) 8:829. doi: 10.3389/fimmu.2017.00829

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Loughlin KR, William B. Coley: His Hypothesis, His Toxin, and the Birth of Immunotherapy. Urol Clin North Am (2020) 47:413–7. doi: 10.1016/j.ucl.2020.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Gong J, Chehrazi-Raffle A, Reddi S, Salgia R. Development of PD-1 and PD-L1 Inhibitors as a Form of Cancer Immunotherapy: A Comprehensive Review of Registration Trials and Future Considerations. J Immunother Cancer (2018) 6:8. doi: 10.1186/s40425-018-0316-z

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Wu X, Gu Z, Chen Y, Chen B, Chen W, Weng L, et al. Application of PD-1 Blockade in Cancer Immunotherapy. Comput Struct Biotechnol J (2019) 17:661–74. doi: 10.1016/j.csbj.2019.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Yaghoubi N, Soltani A, Ghazvini K, Hassanian SM, Hashemy SI. PD-1/ PD-L1 Blockade as a Novel Treatment for Colorectal Cancer. BioMed Pharmacother (2019) 110:312–8. doi: 10.1016/j.biopha.2018.11.105

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Powles T, Walker J, Andrew Williams J, Bellmunt J. The Evolving Role of PD-L1 Testing in Patients With Metastatic Urothelial Carcinoma. Cancer Treat Rev (2020) 82:101925. doi: 10.1016/j.ctrv.2019.101925

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Galon J, Bruni D. Approaches to Treat Immune Hot, Altered and Cold Tumours With Combination Immunotherapies. Nat Rev Drug Discovery (2019) 18:197–218. doi: 10.1038/s41573-018-0007-y

CrossRef Full Text | Google Scholar

35. Majidpoor J, Mortezaee K. The Efficacy of PD-1/PD-L1 Blockade in Cold Cancers and Future Perspectives. Clin Immunol (2021) 226:108707. doi: 10.1016/j.clim.2021.108707

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Kennedy LB, Salama AKS. A Review of Cancer Immunotherapy Toxicity. CA Cancer J Clin (2020) 70:86–104. doi: 10.3322/caac.21596

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Sharma P, Hu-Lieskovan S, Wargo JA, Ribas A. Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy. Cell (2017) 168:707–23. doi: 10.1016/j.cell.2017.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

38. D'Urso CM, Wang ZG, Cao Y, Tatake R, Zeff RA, Ferrone S. Lack of HLA Class I Antigen Expression by Cultured Melanoma Cells FO-1 Due to a Defect in B2m Gene Expression. J Clin Invest (1991) 87:284–92. doi: 10.1172/JCI114984

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Mok S, Koya RC, Tsui C, Xu J, Robert L, Wu L, et al. Inhibition of CSF-1 Receptor Improves the Antitumor Efficacy of Adoptive Cell Transfer Immunotherapy. Cancer Res (2014) 74:153–61. doi: 10.1158/0008-5472.CAN-13-1816

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Topalian SL, Drake CG, Pardoll DM. Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy. Cancer Cell (2015) 27:450–61. doi: 10.1016/j.ccell.2015.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Sakaguchi S, Yamaguchi T, Nomura T, Ono M. Regulatory T Cells and Immune Tolerance. Cell (2008) 133:775–87. doi: 10.1016/j.cell.2008.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Yang L, DeBusk LM, Fukuda K, Fingleton B, Green-Jarvis B, Shyr Y, et al. Expansion of Myeloid Immune Suppressor Gr+CD11b+ Cells in Tumor-Bearing Host Directly Promotes Tumor Angiogenesis. Cancer Cell (2004) 6:409–21. doi: 10.1016/j.ccr.2004.08.031

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Orth M, Lauber K, Niyazi M, Friedl AA, Li M, Maihöfer C, et al. Current Concepts in Clinical Radiation Oncology. Radiat Environ Biophys (2014) 53:1–29. doi: 10.1007/s00411-013-0497-2

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Hoskin PJ, Bhattacharya IS. Protons and More: State of the Art in Radiotherapy. Clin Med (Lond) (2014) 14(Suppl 6):s61–5. doi: 10.7861/clinmedicine.14-6-s61

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Ngwa W, Irabor OC, Schoenfeld JD, Hesser J, Demaria S, Formenti SC. Using Immunotherapy to Boost the Abscopal Effect. Nat Rev Cancer (2018) 18:313–22. doi: 10.1038/nrc.2018.6

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Zaorsky NG, Harrison AS, Trabulsi EJ, Gomella LG, Showalter TN, Hurwitz MD, et al. Evolution of Advanced Technologies in Prostate Cancer Radiotherapy. Nat Rev Urol (2013) 10:565–79. doi: 10.1038/nrurol.2013.185

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Tekatli H, Spoelstra FOB, Palacios M, van Sornsen de Koste J, Slotman BJ, Senan S. Stereotactic Ablative Radiotherapy (SABR) for Early-Stage Central Lung Tumors: New Insights and Approaches. Lung Cancer (2018) 123:142–8. doi: 10.1016/j.lungcan.2018.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Hu M, Jiang L, Cui X, Zhang J, Yu J. Proton Beam Therapy for Cancer in the Era of Precision Medicine. J Hematol Oncol (2018) 11:136. doi: 10.1186/s13045-018-0683-4

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Yu W-D, Sun G, Li J, Xu J, Wang X. Mechanisms and Therapeutic Potentials of Cancer Immunotherapy in Combination With Radiotherapy and/or Chemotherapy. Cancer Lett (2019) 452:66–70. doi: 10.1016/j.canlet.2019.02.048

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Goldstein M, Kastan MB. The DNA Damage Response: Implications for Tumor Responses to Radiation and Chemotherapy. Annu Rev Med (2015) 66:129–43. doi: 10.1146/annurev-med-081313-121208

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Kim BM, Hong Y, Lee S, Liu P, Lim JH, Lee YH, et al. Therapeutic Implications for Overcoming Radiation Resistance in Cancer Therapy. Int J Mol Sci (2015) 16:26880–913. doi: 10.3390/ijms161125991

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Weichselbaum RR, Liang H, Deng L, Fu Y-X. Radiotherapy and Immunotherapy: A Beneficial Liaison? Nat Rev Clin Oncol (2017) 14:365–79. doi: 10.1038/nrclinonc.2016.211

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Kroemer G, Galluzzi L, Kepp O, Zitvogel L. Immunogenic Cell Death in Cancer Therapy. Annu Rev Immunol (2013) 31:51–72. doi: 10.1146/annurev-immunol-032712-100008

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Wang Q, Ju X, Wang J, Fan Y, Ren M, Zhang H. Immunogenic Cell Death in Anticancer Chemotherapy and Its Impact on Clinical Studies. Cancer Lett (2018) 438:17–23. doi: 10.1016/j.canlet.2018.08.028

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Li W, Yang J, Luo L, Jiang M, Qin B, Yin H, et al. Targeting Photodynamic and Photothermal Therapy to the Endoplasmic Reticulum Enhances Immunogenic Cancer Cell Death. Nat Commun (2019) 10:3349. doi: 10.1038/s41467-019-11269-8

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Ahmed A, Tait SWG. Targeting Immunogenic Cell Death in Cancer. Mol Oncol (2020) 14:2994–3006. doi: 10.1002/1878-0261.12851

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Legrand AJ, Konstantinou M, Goode EF, Meier P. The Diversification of Cell Death and Immunity: Memento Mori. Mol Cell (2019) 76:232–42. doi: 10.1016/j.molcel.2019.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Mole RH. Whole Body Irradiation; Radiobiology or Medicine? Br J Radiol (1953) 26:234–41. doi: 10.1259/0007-1285-26-305-234

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Gameiro SR, Jammeh ML, Wattenberg MM, Tsang KY, Ferrone S, Hodge JW. Radiation-Induced Immunogenic Modulation of Tumor Enhances Antigen Processing and Calreticulin Exposure, Resulting in Enhanced T-Cell Killing. Oncotarget (2014) 5:403–16. doi: 10.18632/oncotarget.1719

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Gajewski TF, Schreiber H, Fu Y-X. Innate and Adaptive Immune Cells in the Tumor Microenvironment. Nat Immunol (2013) 14:1014–22. doi: 10.1038/ni.2703

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Meijer TWH, Kaanders JHAM, Span PN, Bussink J. Targeting Hypoxia, HIF-1, and Tumor Glucose Metabolism to Improve Radiotherapy Efficacy. Clin Cancer Res (2012) 18:5585–94. doi: 10.1158/1078-0432.CCR-12-0858

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Wang Y, Liu Z-G, Yuan H, Deng W, Li J, Huang Y, et al. The Reciprocity Between Radiotherapy and Cancer Immunotherapy. Clin Cancer Res (2019) 25:1709–17. doi: 10.1158/1078-0432.CCR-18-2581

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Hallahan D, Kuchibhotla J, Wyble C. Cell Adhesion Molecules Mediate Radiation-Induced Leukocyte Adhesion to the Vascular Endothelium. Cancer Res (1996) 56:5150–5.

PubMed Abstract | Google Scholar

64. Lin L, Kane N, Kobayashi N, Kono EA, Yamashiro JM, Nickols NG, et al. High-Dose Per Fraction Radiotherapy Induces Both Antitumor Immunity and Immunosuppressive Responses in Prostate Tumors. Clin Cancer Res (2021) 27:1505–15. doi: 10.1158/1078-0432.CCR-20-2293

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Timaner M, Kotsofruk R, Raviv Z, Magidey K, Shechter D, Kan T, et al. Microparticles From Tumors Exposed to Radiation Promote Immune Evasion in Part by PD-L1. Oncogene (2020) 39:187–203. doi: 10.1038/s41388-019-0971-7

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Vanpouille-Box C, Pilones KA, Wennerberg E, Formenti SC, Demaria S. In Situ Vaccination by Radiotherapy to Improve Responses to Anti-CTLA-4 Treatment. Vaccine (2015) 33:7415–22. doi: 10.1016/j.vaccine.2015.05.105

PubMed Abstract | CrossRef Full Text | Google Scholar

67. De Ruysscher D, Niedermann G, Burnet NG, Siva S, Lee AWM, Hegi-Johnson F. Radiotherapy Toxicity. Nat Rev Dis Primers (2019) 5:13. doi: 10.1038/s41572-019-0064-5

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Liu Y, Dong Y, Kong L, Shi F, Zhu H, Yu J. Abscopal Effect of Radiotherapy Combined With Immune Checkpoint Inhibitors. J Hematol Oncol (2018) 11:104. doi: 10.1186/s13045-018-0647-8

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Tharmalingam H, Hoskin PJ. The Optimism Surrounding Stereotactic Body Radiation Therapy and Immunomodulation. Chin Clin Oncol (2017) 6:S9. doi: 10.21037/cco.2017.05.01

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Goodman A, Patel SP, Kurzrock R. PD-1-PD-L1 Immune-Checkpoint Blockade in B-Cell Lymphomas. Nat Rev Clin Oncol (2017) 14:203–20. doi: 10.1038/nrclinonc.2016.168

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Postow MA, Callahan MK, Wolchok JD. Immune Checkpoint Blockade in Cancer Therapy. J Clin Oncol (2015) 33:1974–82. doi: 10.1200/JCO.2014.59.4358

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Xia L, Liu Y, Wang Y. PD-1/PD-L1 Blockade Therapy in Advanced Non-Small-Cell Lung Cancer: Current Status and Future Directions. Oncologist (2019) 24:S31–41. doi: 10.1634/theoncologist.2019-IO-S1-s05

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Qiao M, Jiang T, Ren S, Zhou C. Combination Strategies on the Basis of Immune Checkpoint Inhibitors in Non-Small-Cell Lung Cancer: Where Do We Stand? Clin Lung Cancer (2018) 19:1–11. doi: 10.1016/j.cllc.2017.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Chen Y, Gao M, Huang Z, Yu J, Meng X. SBRT Combined With PD-1/PD-L1 Inhibitors in NSCLC Treatment: A Focus on the Mechanisms, Advances, and Future Challenges. J Hematol Oncol (2020) 13:105. doi: 10.1186/s13045-020-00940-z

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Gong X, Li X, Jiang T, Xie H, Zhu Z, Zhou F, et al. Combined Radiotherapy and Anti-PD-L1 Antibody Synergistically Enhances Antitumor Effect in Non-Small Cell Lung Cancer. J Thorac Oncol (2017) 12:1085–97. doi: 10.1016/j.jtho.2017.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Park SS, Dong H, Liu X, Harrington SM, Krco CJ, Grams MP, et al. PD-1 Restrains Radiotherapy-Induced Abscopal Effect. Cancer Immunol Res (2015) 3:610–9. doi: 10.1158/2326-6066.CIR-14-0138

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Pilones KA, Hensler M, Daviaud C, Kraynak J, Fucikova J, Galluzzi L, et al. Converging Focal Radiation and Immunotherapy in a Preclinical Model of Triple Negative Breast Cancer: Contribution of VISTA Blockade. Oncoimmunology (2020) 9:1830524. doi: 10.1080/2162402X.2020.1830524

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Zeng J, See AP, Phallen J, Jackson CM, Belcaid Z, Ruzevick J, et al. Anti-PD-1 Blockade and Stereotactic Radiation Produce Long-Term Survival in Mice With Intracranial Gliomas. Int J Radiat Oncol Biol Phys (2013) 86:343–9. doi: 10.1016/j.ijrobp.2012.12.025

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Shaverdian N, Lisberg AE, Bornazyan K, Veruttipong D, Goldman JW, Formenti SC, et al. Previous Radiotherapy and the Clinical Activity and Toxicity of Pembrolizumab in the Treatment of Non-Small-Cell Lung Cancer: A Secondary Analysis of the KEYNOTE-001 Phase 1 Trial. Lancet Oncol (2017) 18:895–903. doi: 10.1016/S1470-2045(17)30380-7

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Rauschenberg R, Bruns J, Brütting J, Daubner D, Lohaus F, Zimmer L, et al. Impact of Radiation, Systemic Therapy and Treatment Sequencing on Survival of Patients With Melanoma Brain Metastases. Eur J Cancer (2019) 110:11–20. doi: 10.1016/j.ejca.2018.12.023

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Sahin U, Derhovanessian E, Miller M, Kloke B-P, Simon P, Löwer M, et al. Personalized RNA Mutanome Vaccines Mobilize Poly-Specific Therapeutic Immunity Against Cancer. Nature (2017) 547:222–6. doi: 10.1038/nature23003

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Kwak M, Leick KM, Melssen MM, Slingluff CL. Vaccine Strategy in Melanoma. Surg Oncol Clin N Am (2019) 28:337–51. doi: 10.1016/j.soc.2019.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Song Q, Zhang C-D, Wu X-H. Therapeutic Cancer Vaccines: From Initial Findings to Prospects. Immunol Lett (2018) 196:11–21. doi: 10.1016/j.imlet.2018.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Gatti-Mays ME, Redman JM, Collins JM, Bilusic M. Cancer Vaccines: Enhanced Immunogenic Modulation Through Therapeutic Combinations. Hum Vaccin Immunother (2017) 13:2561–74. doi: 10.1080/21645515.2017.1364322

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Kantoff PW, Higano CS, Shore ND, Berger ER, Small EJ, Penson DF, et al. Sipuleucel-T Immunotherapy for Castration-Resistant Prostate Cancer. N Engl J Med (2010) 363:411–22. doi: 10.1056/NEJMoa1001294

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Chakraborty M, Abrams SI, Camphausen K, Liu K, Scott T, Coleman CN, et al. Irradiation of Tumor Cells Up-Regulates Fas and Enhances CTL Lytic Activity and CTL Adoptive Immunotherapy. J Immunol (2003) 170:6338–47. doi: 10.4049/jimmunol.170.12.6338

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Chakraborty M, Abrams SI, Coleman CN, Camphausen K, Schlom J, Hodge JW. External Beam Radiation of Tumors Alters Phenotype of Tumor Cells to Render Them Susceptible to Vaccine-Mediated T-Cell Killing. Cancer Res (2004) 64:4328–37. doi: 10.1158/0008-5472.CAN-04-0073

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Ferrara TA, Hodge JW, Gulley JL. Combining Radiation and Immunotherapy for Synergistic Antitumor Therapy. Curr Opin Mol Ther (2009) 11:37–42.

PubMed Abstract | Google Scholar

89. Seitz C, Rückert M, Deloch L, Weiss E-M, Utz S, Izydor M, et al. Tumor Cell-Based Vaccine Generated With High Hydrostatic Pressure Synergizes With Radiotherapy by Generating a Favorable Anti-Tumor Immune Microenvironment. Front Oncol (2019) 9:805. doi: 10.3389/fonc.2019.00805

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Wang C, Pu J, Yu H, Liu Y, Yan H, He Z, et al. A Dendritic Cell Vaccine Combined With Radiotherapy Activates the Specific Immune Response in Patients With Esophageal Cancer. J Immunother (2017) 40:71–6. doi: 10.1097/CJI.0000000000000155

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Miliotou AN, Papadopoulou LC. CAR T-Cell Therapy: A New Era in Cancer Immunotherapy. Curr Pharm Biotechnol (2018) 19:5–18. doi: 10.2174/1389201019666180418095526

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Salter AI, Pont MJ, Riddell SR. Chimeric Antigen Receptor-Modified T Cells: CD19 and the Road Beyond. Blood (2018) 131:2621–9. doi: 10.1182/blood-2018-01-785840

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Mochel JP, Ekker SC, Johannes CM, Jergens AE, Allenspach K, Bourgois-Mochel A, et al. CAR T Cell Immunotherapy in Human and Veterinary Oncology: Changing the Odds Against Hematological Malignancies. AAPS J (2019) 21:50. doi: 10.1208/s12248-019-0322-1

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Jindal V, Arora E, Gupta S, Lal A, Masab M, Potdar R. Prospects of Chimeric Antigen Receptor T Cell Therapy in Ovarian Cancer. Med Oncol (2018) 35:70. doi: 10.1007/s12032-018-1131-6

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Magee MS, Abraham TS, Baybutt TR, Flickinger JC, Ridge NA, Marszalowicz GP, et al. Human GUCY2C-Targeted Chimeric Antigen Receptor (CAR)-Expressing T Cells Eliminate Colorectal Cancer Metastases. Cancer Immunol Res (2018) 6:509–16. doi: 10.1158/2326-6066.CIR-16-0362

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Kosti P, Maher J, Arnold JN. Perspectives on Chimeric Antigen Receptor T-Cell Immunotherapy for Solid Tumors. Front Immunol (2018) 9:1104. doi: 10.3389/fimmu.2018.01104

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Albinger N, Hartmann J, Ullrich E. Current Status and Perspective of CAR-T and CAR-NK Cell Therapy Trials in Germany. Gene Ther (2021) 28:513–27. doi: 10.1038/s41434-021-00246-w

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Cazaux M, Grandjean CL, Lemaître F, Garcia Z, Beck RJ, Milo I, et al. Single-Cell Imaging of CAR T Cell Activity In Vivo Reveals Extensive Functional and Anatomical Heterogeneity. J Exp Med (2019) 216:1038–49. doi: 10.1084/jem.20182375

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Shah NN, Fry TJ. Mechanisms of Resistance to CAR T Cell Therapy. Nat Rev Clin Oncol (2019) 16:372–85. doi: 10.1038/s41571-019-0184-6

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Gilham DE, Debets R, Pule M, Hawkins RE, Abken H. CAR-T Cells and Solid Tumors: Tuning T Cells to Challenge an Inveterate Foe. Trends Mol Med (2012) 18:377–84. doi: 10.1016/j.molmed.2012.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Weiss T, Weller M, Guckenberger M, Sentman CL, Roth P. NKG2D-Based CAR T Cells and Radiotherapy Exert Synergistic Efficacy in Glioblastoma. Cancer Res (2018) 78:1031–43. doi: 10.1158/0008-5472.CAN-17-1788

PubMed Abstract | CrossRef Full Text | Google Scholar

102. DeSelm C, Palomba ML, Yahalom J, Hamieh M, Eyquem J, Rajasekhar VK, et al. Low-Dose Radiation Conditioning Enables CAR T Cells to Mitigate Antigen Escape. Mol Ther (2018) 26:2542–52. doi: 10.1016/j.ymthe.2018.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Smith EL, Mailankody S, Staehr M, Wang X, Senechal B, Purdon TJ, et al. BCMA-Targeted CAR T-Cell Therapy Plus Radiotherapy for the Treatment of Refractory Myeloma Reveals Potential Synergy. Cancer Immunol Res (2019) 7:1047–53. doi: 10.1158/2326-6066.CIR-18-0551

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Conlon KC, Miljkovic MD, Waldmann TA. Cytokines in the Treatment of Cancer. J Interferon Cytokine Res (2019) 39:6–21. doi: 10.1089/jir.2018.0019

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Dranoff G. Cytokines in Cancer Pathogenesis and Cancer Therapy. Nat Rev Cancer (2004) 4:11–22. doi: 10.1038/nrc1252

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Goldstein D, Laszlo J. The Role of Interferon in Cancer Therapy: A Current Perspective. CA Cancer J Clin (1988) 38:258–77. doi: 10.3322/canjclin.38.5.258

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Lee S, Margolin K. Cytokines in Cancer Immunotherapy. Cancers (Basel) (2011) 3:3856–93. doi: 10.3390/cancers3043856

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Nicholas C, Lesinski GB. Immunomodulatory Cytokines as Therapeutic Agents for Melanoma. Immunotherapy (2011) 3:673–90. doi: 10.2217/imt.11.45

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Atkins MB, Lotze MT, Dutcher JP, Fisher RI, Weiss G, Margolin K, et al. High-Dose Recombinant Interleukin 2 Therapy for Patients With Metastatic Melanoma: Analysis of 270 Patients Treated Between 1985 and 1993. J Clin Oncol (1999) 17:2105–16. doi: 10.1200/JCO.1999.17.7.2105

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Fyfe G, Fisher RI, Rosenberg SA, Sznol M, Parkinson DR, Louie AC. Results of Treatment of 255 Patients With Metastatic Renal Cell Carcinoma Who Received High-Dose Recombinant Interleukin-2 Therapy. J Clin Oncol (1995) 13:688–96. doi: 10.1200/JCO.1995.13.3.688

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Rekers NH, Olivo Pimentel V, Yaromina A, Lieuwes NG, Biemans R, Zegers CML, et al. The Immunocytokine L19-IL2: An Interplay Between Radiotherapy and Long-Lasting Systemic Anti-Tumour Immune Responses. Oncoimmunology (2018) 7:e1414119. doi: 10.1080/2162402X.2017.1414119

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Huang J, Wu Y, Zeng F, Wu S. An Activatable Near-Infrared Chromophore for Multispectral Optoacoustic Imaging of Tumor Hypoxia and for Tumor Inhibition. Theranostics (2019) 9:7313–24. doi: 10.7150/thno.36755

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Jarosz-Biej M, Smolarczyk R, Cichoń T, Kułach N. Tumor Microenvironment as A "Game Changer" in Cancer Radiotherapy. Int J Mol Sci (2019) 20. doi: 10.3390/ijms20133212

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Kashyap D, Tuli HS, Yerer MB, Sharma A, Sak K, Srivastava S, et al. Natural Product-Based Nanoformulations for Cancer Therapy: Opportunities and Challenges. Semin Cancer Biol (2021) 69. doi: 10.1016/j.semcancer.2019.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Sun T, Zhang YS, Pang B, Hyun DC, Yang M, Xia Y. Engineered Nanoparticles for Drug Delivery in Cancer Therapy. Angew Chem Int Ed Engl (2014) 53:12320–64. doi: 10.1002/anie.201403036

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Li J, Shang W, Li Y, Fu S, Tian J, Lu L. Advanced Nanomaterials Targeting Hypoxia to Enhance Radiotherapy. Int J Nanomedicine (2018) 13:5925–36. doi: 10.2147/IJN.S173914

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Li W, Zhao X, Du B, Li X, Liu S, Yang X-Y, et al. Gold Nanoparticle-Mediated Targeted Delivery of Recombinant Human Endostatin Normalizes Tumour Vasculature and Improves Cancer Therapy. Sci Rep (2016) 6:30619. doi: 10.1038/srep30619

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Song G, Liang C, Yi X, Zhao Q, Cheng L, Yang K, et al. Perfluorocarbon-Loaded Hollow Bi2Se3 Nanoparticles for Timely Supply of Oxygen Under Near-Infrared Light to Enhance the Radiotherapy of Cancer. Adv Mater (2016) 28:2716–23. doi: 10.1002/adma.201504617

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Shao K, Singha S, Clemente-Casares X, Tsai S, Yang Y, Santamaria P. Nanoparticle-Based Immunotherapy for Cancer. ACS Nano (2015) 9:16–30. doi: 10.1021/nn5062029

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Riley RS, June CH, Langer R, Mitchell MJ. Delivery Technologies for Cancer Immunotherapy. Nat Rev Drug Discovery (2019) 18:175–96. doi: 10.1038/s41573-018-0006-z

CrossRef Full Text | Google Scholar

121. Surendran SP, Moon MJ, Park R, Jeong YY. Bioactive Nanoparticles for Cancer Immunotherapy. Int J Mol Sci (2018) 19. doi: 10.3390/ijms19123877

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Pei W, Liu M, Wu Y, Zhao Y, Liu T, Sun B, et al. High Payload and Targeted Release of Anthracyclines by Aptamer-Tethered DNA Nanotrains - Thermodynamic and Release Kinetic Study. Eur J Pharm Sci (2020) 148:105319. doi: 10.1016/j.ejps.2020.105319

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Aghebati-Maleki A, Dolati S, Ahmadi M, Baghbanzhadeh A, Asadi M, Fotouhi A, et al. Nanoparticles and Cancer Therapy: Perspectives for Application of Nanoparticles in the Treatment of Cancers. J Cell Physiol (2020) 235:1962–72. doi: 10.1002/jcp.29126

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Li L, Wang J, Kong H, Zeng Y, Liu G. Functional Biomimetic Nanoparticles for Drug Delivery and Theranostic Applications in Cancer Treatment. Sci Technol Adv Mater (2018) 19:771–90. doi: 10.1080/14686996.2018.1528850

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Hussein Kamareddine M, Ghosn Y, Tawk A, Elia C, Alam W, Makdessi J, et al. Organic Nanoparticles as Drug Delivery Systems and Their Potential Role in the Treatment of Chronic Myeloid Leukemia. Technol Cancer Res Treat (2019) 18:1533033819879902. doi: 10.1177/1533033819879902

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Markman JL, Rekechenetskiy A, Holler E, Ljubimova JY. Nanomedicine Therapeutic Approaches to Overcome Cancer Drug Resistance. Adv Drug Delivery Rev (2013) 65:1866–79. doi: 10.1016/j.addr.2013.09.019

CrossRef Full Text | Google Scholar

127. Wang H, Liu Y, He R, Xu D, Zang J, Weeranoppanant N, et al. Cell Membrane Biomimetic Nanoparticles for Inflammation and Cancer Targeting in Drug Delivery. Biomater Sci (2020) 8:552–68. doi: 10.1039/C9BM01392J

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Jain A, Tiwari A, Verma A, Saraf S, Jain SK. Combination Cancer Therapy Using Multifunctional Liposomes. Crit Rev Ther Drug Carrier Syst (2020) 37:105–34. doi: 10.1615/CritRevTherDrugCarrierSyst.2019026358

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Raj S, Khurana S, Choudhari R, Kesari KK, Kamal MA, Garg N, et al. Specific Targeting Cancer Cells With Nanoparticles and Drug Delivery in Cancer Therapy. Semin Cancer Biol (2021) 69:166–77. doi: 10.1016/j.semcancer.2019.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Li L, Yang S, Song L, Zeng Y, He T, Wang N, et al. An Endogenous Vaccine Based on Fluorophores and Multivalent Immunoadjuvants Regulates Tumor Micro-Environment for Synergistic Photothermal and Immunotherapy. Theranostics (2018) 8:860–73. doi: 10.7150/thno.19826

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Zhang L, Zhu C, Huang R, Ding Y, Ruan C, Shen X-C. Mechanisms of Reactive Oxygen Species Generated by Inorganic Nanomaterials for Cancer Therapeutics. Front Chem (2021) 9:630969. doi: 10.3389/fchem.2021.630969

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Zhang D, Wu T, Qin X, Qiao Q, Shang L, Song Q, et al. Intracellularly Generated Immunological Gold Nanoparticles for Combinatorial Photothermal Therapy and Immunotherapy Against Tumor. Nano Lett (2019) 19:6635–46. doi: 10.1021/acs.nanolett.9b02903

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Somiya M, Kuroda SI. Development of a Virus-Mimicking Nanocarrier for Drug Delivery Systems: The Bio-Nanocapsule. Adv Drug Delivery Rev (2015) 95:77–89. doi: 10.1016/j.addr.2015.10.003

CrossRef Full Text | Google Scholar

134. Zhou J, Kroll AV, Holay M, Fang RH, Zhang L. Biomimetic Nanotechnology Toward Personalized Vaccines. Adv Mater (2020) 32:e1901255. doi: 10.1002/adma.201901255

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Deng G, Sun Z, Li S, Peng X, Li W, Zhou L, et al. Cell-Membrane Immunotherapy Based on Natural Killer Cell Membrane Coated Nanoparticles for the Effective Inhibition of Primary and Abscopal Tumor Growth. ACS Nano (2018) 12:12096–108. doi: 10.1021/acsnano.8b05292

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Cheng G, Li W, Ha L, Han X, Hao S, Wan Y, et al. Self-Assembly of Extracellular Vesicle-Like Metal-Organic Framework Nanoparticles for Protection and Intracellular Delivery of Biofunctional Proteins. J Am Chem Soc (2018) 140:7282–91. doi: 10.1021/jacs.8b03584

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Wang H, Mu X, He H, Zhang X-D. Cancer Radiosensitizers. Trends Pharmacol Sci (2018) 39:24–48. doi: 10.1016/j.tips.2017.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Lan M, Zhao S, Liu W, Lee C-S, Zhang W, Wang P. Photosensitizers for Photodynamic Therapy. Adv Healthc Mater (2019) 8:e1900132. doi: 10.1002/adhm.201900132

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Xie J, Gong L, Zhu S, Yong Y, Gu Z, Zhao Y. Emerging Strategies of Nanomaterial-Mediated Tumor Radiosensitization. Adv Mater (2019) 31:e1802244. doi: 10.1002/adma.201802244

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Song X, Xu J, Liang C, Chao Y, Jin Q, Wang C, et al. Self-Supplied Tumor Oxygenation Through Separated Liposomal Delivery of HO and Catalase for Enhanced Radio-Immunotherapy of Cancer. Nano Lett (2018) 18:6360–8. doi: 10.1021/acs.nanolett.8b02720

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Chen Q, Chen J, Yang Z, Xu J, Xu L, Liang C, et al. Nanoparticle-Enhanced Radiotherapy to Trigger Robust Cancer Immunotherapy. Adv Mater (2019) 31:e1802228. doi: 10.1002/adma.201802228

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Gao S, Zhang W, Wang R, Hopkins SP, Spagnoli JC, Racin M, et al. Nanoparticles Encapsulating Nitrosylated Maytansine To Enhance Radiation Therapy. ACS Nano (2020) 14:1468–81. doi: 10.1021/acsnano.9b05976

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Ni K, Lan G, Chan C, Quigley B, Lu K, Aung T, et al. Nanoscale Metal-Organic Frameworks Enhance Radiotherapy to Potentiate Checkpoint Blockade Immunotherapy. Nat Commun (2018) 9:2351. doi: 10.1038/s41467-018-04703-w

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Patel RB, Ye M, Carlson PM, Jaquish A, Zangl L, Ma B, et al. Development of an In Situ Cancer Vaccine via Combinational Radiation and Bacterial-Membrane-Coated Nanoparticles. Adv Mater (2019) 31:e1902626. doi: 10.1002/adma.201902626

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Mondini M, Levy A, Meziani L, Milliat F, Deutsch E. Radiotherapy-Immunotherapy Combinations - Perspectives and Challenges. Mol Oncol (2020) 14:1529–37. doi: 10.1002/1878-0261.12658

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Aliru ML, Schoenhals JE, Venkatesulu BP, Anderson CC, Barsoumian HB, Younes AI, et al. Radiation Therapy and Immunotherapy: What Is the Optimal Timing or Sequencing? Immunotherapy (2018) 10:299–316. doi: 10.2217/imt-2017-0082

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Plavc G, Jesenko T, Oražem M, Strojan P. Challenges in Combining Immunotherapy With Radiotherapy in Recurrent/Metastatic Head and Neck Cancer. Cancers (Basel) (2020) 12. doi: 10.3390/cancers12113197

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Geier M, Descourt R, Corre R, Leveiller G, Lamy R, Goarant E. Real-Life Intracerebral Efficacy of Nivolumab in Non-Small Cell Lung Cancer Patients With Brain Metastases. J Thorac Oncol (2018) 13(10):S384–5. doi: 10.1016/j.jtho.2018.08.383

CrossRef Full Text | Google Scholar

149. Wegner RE, Abel S, Hasan S, White R, Finley GG, Monga D. Time From Stereotactic Body Radiotherapy to Immunotherapy as a Predictor for Outcome in Metastatic Non-Small Cell Lung Cancer. J Clin Oncol (2019) 37(15). doi: 10.1200/JCO.2019.37.15_suppl.9024

CrossRef Full Text | Google Scholar

150. Dovedi SJ, Adlard AL, Lipowska-Bhalla G, McKenna C, Jones S, Cheadle EJ, et al. Acquired Resistance to Fractionated Radiotherapy can be Overcome by Concurrent PD-L1 Blockade. Cancer Res (2014) 74:5458–68. doi: 10.1158/0008-5472.CAN-14-1258

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Delaunay M, Cadranel J, Lusque A, Meyer N, Gounant V, Moro-Sibilot D, et al. Immune-Checkpoint Inhibitors Associated With Interstitial Lung Disease in Cancer Patients. Eur Respir J (2017) 50. doi: 10.1183/13993003.00050-2017

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Lu C-S, Liu J-H. Pneumonitis in Cancer Patients Receiving Anti-PD-1 and Radiotherapies: Three Case Reports. Med (Baltimore) (2017) 96:e5747. doi: 10.1097/MD.0000000000005747

CrossRef Full Text | Google Scholar

153. Levy A, Nigro G, Sansonetti PJ, Deutsch E. Candidate Immune Biomarkers for Radioimmunotherapy. Biochim Biophys Acta Rev Cancer (2017) 1868:58–68. doi: 10.1016/j.bbcan.2017.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Dewan MZ, Galloway AE, Kawashima N, Dewyngaert JK, Babb JS, Formenti SC, et al. Fractionated But Not Single-Dose Radiotherapy Induces an Immune-Mediated Abscopal Effect When Combined With Anti-CTLA-4 Antibody. Clin Cancer Res (2009) 15:5379–88. doi: 10.1158/1078-0432.CCR-09-0265

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Turgeon G-A, Weickhardt A, Azad AA, Solomon B, Siva S. Radiotherapy and Immunotherapy: A Synergistic Effect in Cancer Care. Med J Aust (2019) 210:47–53. doi: 10.5694/mja2.12046

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Theelen WSME, Chen D, Verma V, Hobbs BP, Peulen HMU, Aerts JGJV, et al. Pembrolizumab With or Without Radiotherapy for Metastatic Non-Small-Cell Lung Cancer: A Pooled Analysis of Two Randomised Trials. Lancet Respir Med (2021) 9:467–75. doi: 10.1016/S2213-2600(20)30391-X

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Zhu X, Cao Y, Liu W, Ju X, Zhao X, Jiang L, et al. Stereotactic Body Radiotherapy Plus Pembrolizumab and Trametinib Versus Stereotactic Body Radiotherapy Plus Gemcitabine for Locally Recurrent Pancreatic Cancer After Surgical Resection: An Open-Label, Randomised, Controlled, Phase 2 Trial. Lancet Oncol (2021) 22:1093–102. doi: 10.1016/S1470-2045(21)00286-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cancer immunity, immune tolerance, immunotherapy, radiotherapy, nanomaterials, drug-delivery system, radiosensitizers

Citation: Yu S, Wang Y, He P, Shao B, Liu F, Xiang Z, Yang T, Zeng Y, He T, Ma J, Wang X and Liu L (2022) Effective Combinations of Immunotherapy and Radiotherapy for Cancer Treatment. Front. Oncol. 12:809304. doi: 10.3389/fonc.2022.809304

Received: 04 November 2021; Accepted: 17 January 2022;
Published: 07 February 2022.

Edited by:

Linlang Guo, Zhujiang Hospital, China

Reviewed by:

Gabriele Multhoff, Technical University of Munich, Germany
Xiaoli Wu, Tianjin University, China
Zhouguang Hui, Chinese Academy of Medical Sciences and Peking Union Medical College, China

Copyright © 2022 Yu, Wang, He, Shao, Liu, Xiang, Yang, Zeng, He, Ma, Wang and Liu. 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: Lei Liu, bGl1bGVpaHhAZ21haWwuY29t

These authors have contributed equally to this work

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