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Introduction

Harmful stimuli, including ultraviolet radiation, ionizing radiation and carcinogens, can result in single-nucleotide mutations, insertions or deletions, gene fusion, frameshift mutations, structural mutations or integration and clonal expansion of the tumor-associated virus genome within the human genome (1,2). In particular, these genetic alterations can also cause somatic cell mutagenesis (3–6). Over the past number of decades, immunotherapy has demonstrated great potential for the treatment of cancer. This is because tumor cells produce mutant proteins that can be recognized by the immune system as antigens, which trigger cellular and humoral immune responses downstream. Some non-synonymous mutations can give rise to mutated, non-self peptides that can be presented by human (HLA) molecules and elicit T-cell responses, which are known as neoantigens (7). Since leukocyte antigen neoantigens are not affected by thymus selection or central tolerance, T cells exhibiting high-avidity likely exist (8). Therefore, immunotherapy of malignant tumors by targeting these non-synonymous mutant proteins is a research field that is garnering significant interest (9).

Tumor immunology and tumor immunotherapy

Chen and Mellman (10) previously proposed a cancer-immune cycle theory to explain a potentially key role of cancer immunotherapy in the clinical management of cancer (Fig. 1). Specifically, the antigens produced by necrotic tumor cells can be captured by dendritic cells (DCs) (10). In the DCs, antigen polypeptides are digested, fragmented and transported into the endoplasmic reticulum (ER) (10). In the ER, the peptides encounter ER aminopeptidase related to antigen processing and major histocompatibility complex (MHC) class I molecules to form the peptide-loading complex (10). After this MHC-I complex reaches a certain stability threshold, it will leave the ER and reach the cell surface, functioning as a potential ligand for the T-cell receptor (TCR) on CD8+ T cells (Fig. 2) (11,12).

Figure 1. Stages of cancer-immunity cycle. Necrotic tumor cell antigens are released and captured by DCs. DCs present the captured antigens to T cells, resulting in the activation of effector T cells. The activated effector T cells then recognize and bind to cancer cells. Tumor cells killed by T cells in turn release antigens that enter the immune cycle again to amplify the response in subsequent revolutions of the cycle. DCs, Dendritic cells; CTLA-4, cytotoxic T lymphocyte protein 4; PD-L1, programmed-death ligand 1.

Figure 2. MHC-I antigen complex formation. After DCs ingest antigen precursors, the polypeptides are fragmented and transported into the ER for further editing. The processed peptides then encounter MHC-I molecules within the PLC as well as ERAAP. When the MHC-I complex reaches a certain stability threshold, it leaves the ER and reaches the cell surface for antigen presentation. MHC, major histocompatibility complex; DCs, dendritic cells; ER, endoplasmic reticulum; PLC, peptide-loading complex; ERAAP, endoplasmic reticulum aminopeptidase related to antigen processing.

Previous studies have demonstrated that antigens produced by necrotic tumor cells also have the ability to bind to MHC-II molecules, which are associated with the functions of CD4+ T cells (13,14). Activated effector T cells recognize and attack cancer cells in the tumor bed. Additional tumor-associated antigens (TAAs) are released by dead cancer cells, which increases the breadth and depth of the cancer-immune cycle (10).

Techniques for tumor immunotherapy have developed over the past decade, such that notable antitumor activities have been reported for the treatment of numerous solid tumors, including melanoma, non-small cell lung cancer (NSCLC), kidney cancer, prostate cancer and glioblastoma (15–17). Tumor immunotherapy includes immune enhancement therapy, tumor vaccines, immune checkpoint blockade therapy and adoptive cellular therapy (ACT). Immunotherapeutic agents, including immune checkpoint blockers targeting the programmed cell death (PD)-1/PD-ligand (L)1 signaling pathway, have been approved by the US Food and Drug Administration (FDA) for clinical application (18). In addition, results of a previous study demonstrated that the neoantigen burden in tumor tissues is directly and positively associated with the tumor mutational burden (TMB). TMB is an indicator of the tumor mutation quantity, which translates into the structures of neoantigens and is presented to T cells by MHC proteins (19). In particular, melanoma has a high mutation rate, meaning that PD-1 antibodies are more likely to mediate beneficial effects. Furthermore, approved immune checkpoint inhibitors mainly target tumors with high TMB and neoantigen loads, including melanoma, urothelial cancer and NSCLC (20). For solid tumors with low mutation loads, it would be more appropriate to apply immunotherapy based on neoantigens (tumor vaccines and adoptive cell therapies), as neoantigens have high tumor specificity, without being affected by thymus selection and the lack of central tolerance (8,21).

Classification and screening of neoantigens

Based on previous clinical and tumor immunology data, tumor cell epitopes can be classified into two categories (8,22). The first category is TAAs, which are formed by nonmutant proteins and are not unique to tumor cells. This type of antigen also exists in non-cancerous cells but is instead aberrantly expressed during carcinogenesis. The second category includes peptides that exist only in tumor cells or a specific tumor cell type, known as tumor-specific antigens (TSAs) or neoantigens (8).

Classification of neoantigens

Neoantigens are antigens arising from somatic mutations that generate these mutant peptides, which are processed and presented by MHC on the cell surface. Neoantigens exhibiting potent immunogenicity are not normally present in healthy cells or tissues and can activate the immune system to eliminate tumor cells (23). Therefore, neoantigens are attractive targets for designing precision immunotherapeutic stratgies, such as antibodies, vaccines and cellular therapeutics. At present, neoantigens are classified into the following two types: Private and public neoantigens. Private neoantigens are mutated antigens that are unique to most neoantigens and typically differ among patients. Therefore, therapeutic strategies based on private neoantigens are designed to the specification of each patient and are also named personalized therapy (24). Previous clinical data demonstrated that tumor-infiltrating lymphocytes (TILs) from patients with gastrointestinal cancer can recognize neoantigens expressed by tumor cells due to somatic mutations, where the majority of the neoantigen determinants were unique and not shared among patients (25). By contrast, public neoantigens refer to mutated antigens that are shared and conserved among patients with cancer. Immunotherapies targeting public neoantigens are applicable to groups of patients with analogous genetic alterations (26). Neoantigens can induce immune responses with high specificity to cancer cells because of their underlying mutations, whilst exerting minimal toxicity to non-cancerous cells. Therefore, screening for novel tumor neoantigens may serve to be a useful strategy in cancer immunotherapy.

Screening for tumor neoantigens

A number of strategies have been devised to screen for candidate neoantigens, such as whole-exome sequencing (WES), computer algorithm and immunological effects evaluation (Fig. 3). With the development of sequencing technology, mutations can be screened using WES (27). If such mutant proteins are expressed highly in tumor cells, they exhibit the potential to be recognized as neoantigens (28). Subsequently, a computer algorithm can be used to predict the affinity of neoantigen peptides of interest to HLA-1 molecules. Peptides with increased predicted levels of immunogenicity may be selected to be neoantigen candidates. Neoantigen-specific T cells are thereby isolated from the tumor cell infiltration area or the peripheral blood samples of patients, expanded to T cells in vitro and then reinfused back into the body. Subsequently, the immunological efficacy of the candidate neoantigens can be assessed (27,28). Previous reports from Chen et al (29) demonstrated that a large proportion of the immunogenic neo-epitopes were recognized by autologous T cells, rendering this a viable pipeline for neoantigen identification.

Figure 3. Schematic illustration of the neoantigen screening and clinical application workflow. WES is typically performed on tumor and normal DNA to identify tumor-specific mutations. Next, a computer algorithm is used to predict the affinity of neoantigen peptides to HLA-1 molecules. The immunological effects of candidate neoantigens were then evaluated as to whether they could be recognized by autologous T cells. Finally, the immunotherapies, including neoantigen vaccines, ACT based on neoantigens or combination therapies with checkpoint inhibitors are applied in the clinic. HLA, leukocyte antigen; WES, whole-exome sequencing; ACT, adoptive cellular immunotherapy.

However, a number of limitations must be considered. Algorithms that are currently used for predicting neoantigens are limited by binding affinity data in vitro and computational constraints, resulting in a high false discovery rate (29). To circumvent this, Hao et al (30) proposed a deep convolutional neural network, named the antigen presentation prediction model (APPM), for predicting antigen presentation. The positive predictive value of APPM, combined with the immune epitope database, can optimize the accuracy further for predicting neoantigens (28). In addition, currently applied methods used for screening neoantigens are relevant to specific HLA alleles. Bulik-Sullivan et al (31) previously examined a large HLA peptide and genomic dataset from various human tumors to create a computational model named EDGE, which increased the positive predictive value of HLA antigen prediction by ≤ nine-fold.

Neoantigen-based tumor vaccines

At present, the most promising method in cancer immunotherapy is the development of therapeutic tumor vaccine based on neoantigens. The benefits of this vaccine type are less tolerance compared with other traditional therapeutic drugs such as Tarceva, Gleevec and Herceptin, which enables it to activate the patient's own immune system to induce a sustained antitumor response (32–34). Despite numerous efforts to develop cancer vaccines, their conversion into efficacious clinical therapy have been challenging, with an objective clinical response rate of only >7% and an overall rate of clinical benefit of only ~20% (35). To achieve the full potential of cancer vaccines, personalized neoantigen vaccines have been introduced (23). Personalized neoantigen vaccines include DC-, DNA-, RNA- and synthetic peptide-based vaccines, some of which are currently undergoing clinical trials (Table I).

Table I. Selected clinical trials based on personalized neoantigen vaccines.

Table I.

Selected clinical trials based on personalized neoantigen vaccines.

ClinicalTrials.gov identifier	Treatment target	Type of vaccine	Composition
NCT01970358	Melanoma	Peptide vaccine	In total, 20 neoantigens per patient, admixed with the Toll-like receptor 3 agonist poly-ICLC
NCT02897765	Melanoma, non-small cell carcinoma, bladder cancer	Peptide vaccine	Composed of 20 unique peptides, ranging in length from 14 to 35 amino acids
NCT02287428	Glioblastoma	Peptide vaccine	In total, 20 neoantigens per patient, admixed with the poly-ICLC
NCT01846143	Melanoma	Peptide vaccine	Phosphorylated peptide
NCT02960230	Diffuse midline glioma	Peptide vaccine	Synthetic H3.3K27M26–35 peptide, helper tetanus toxoid peptide and poly-ICLC
NCT01461148	Mismatch Repair Deficient Cancers (MMR-deficient colorectal cancer)	Peptide vaccine	Between 13 and 30 amino acids
NCT03480152	Gastrointestinal cancer	mRNA vaccine	mRNA skeleton composition encoding up to 20 different antigens
NCT01209871	Plasma cell lymphoma	DNA vaccine	Fusion of antigen with sequence encoding chemokine (Macrophage Inflammatory Protein-3α)
NCT02163057	Squamous cell carcinoma of the head and neck	DNA vaccine	Targeting human papilloma virus 16/18 E6/E7 encoding plasmid and IL-12 as adjuvant

[i] Poly-ICLC, polyinosinic and polycytidylic acid, stabilized with poly-l-lysine and carboxymethylcellulose.

Tumor lytic products

Tumor lytic products are some of the earliest immune vaccines to be applied for tumor therapy (36). Tumor cells are typically obtained during surgery and subsequently digested either by irradiation or tumor cell lysis. Complete tumor lysate contains all potential antigens (TAAs and TSAs), including neoantigens. Several clinical trials have begun with using tumor lytic products. Chiang et al (37) previously used hypochlorite to oxidize the cleavage products to enhance antigenicity, which improved treatment efficacy by DCs. Bencherif et al (38) demonstrated a cryogen-based whole tumor cell vaccine containing DC-activating factors, such as granulocyte-macrophage colony-stimulating factor, which can be used for injection. This vaccine has been demonstrated to be capable of regressing melanoma in mice (33). However, despite intensive research efforts into developing autologous tumor cells, a myriad of problems remain to be solved, including the maintenance of large-scale tumor cell culture, control of vaccine quality and standardization of vaccine production.

Protein/peptide vaccines

Protein/peptide vaccines have been extensively studied in cancer therapy trials due to their safety, cost effectiveness and ease of storage. Nevertheless, due to the high variety of unique peptide epitopes, tendency to degrade easily and low molecular weights, protein/peptide vaccines exhibit two main limitations: Low immunogenicity and MHC restriction. Previous studies have demonstrated that the addition of an immune adjuvant to the peptide vaccine is essential for inducing an effective immune response (39,40). Traditional adjuvants, such as Freund's, bacterial and cytokine adjuvants (41), have all been used to activate the body's immune system and maintain the structure of the antigen. In addition, advances in nanotechnology have created opportunities for the development of novel types of adjuvants. For example, 5–100 nm nanovaccines (IL-2 and a lymphoma-specific antigen into liposomal particles) were found to be retained in lymphoid tissues with advanced-stage follicular lymphoma for a prolonged period, so that they can easily recognized and presented by immune cells in the lymphatic system (42).

For neoantigens, preparation of a peptide vaccine is key due to the high levels of immunogenicity (43). It has previously been suggested that new types of adjuvants coupled with neoantigen peptides, including charge-modified peptide-toll-like receptor (TLR)-7/8a conjugates assembled into nanoparticles, can significantly improve the cytotoxicity of CD8+ T cells (44). Ni et al (45) previously prepared a bi-adjuvant neoantigen nanovaccine (banNV), containing a peptide neoantigen [ADP-dependent glucokinase (Adpgk)] along with two other adjuvants, namely the TLR 7/8 agonist R848 and TLR9 agonist CpG, for colorectal cancer immunotherapy in mice. Results from this previous study revealed a highly potent immunogenic effect of this banNV coupled with reduced acute systemic toxicity, suggesting that banNVs can serve as a potential therapeutic neoantigen vaccine for the treatment of cancer (38). A variety of novel technologies are currently under development with aims of faciliatating neoantigen-specific T-cell activation (46–48).

Neoantigens obtained by screening a single peptide epitope exhibits weak immunogenicity, short half-lives and high HLA restriction, such that patients typically mount an ineffective immune response following vaccination. Therefore, research efforts are currently focusing on the development of a multitude of personalized vaccines containing a variety of epitopes to enhance the antitumor response (49). After obtaining the potential private and public neoantigens, multiplex vaccines containing 2–5 neoantigens in the form of long synthetic peptides are developed (50). A personalized long peptide neoantigen vaccine containing 20 neoepitopes has been previously synthesized and injected into patients with phase Ib glioblastoma (41). The results demonstrated that neoantigen-specific CD8+ and CD4+ T cells were able to infiltrate into the tumor (51). In addition, Zeng et al (52) previously reported a case of personalized neoantigen immunotherapy for renal collecting duct carcinoma (CDC). According to the patient's specific mutations, 13 neoantigens were screened and identified, following which the corresponding long peptide neoantigen vaccines were prepared (42). A total of 3 months later, biopsy samples collected from the CDC sites exhibited a lower mutant allele frequency corresponding to 92% of the neoantigens, suggesting that tumor cells harboring these neoantigens were effectively eliminated (42). Nevertheless, vaccines developed based on personalized neoantigens require a prolonged development period, which may delay the treatment of cancer (53). Therefore, vaccines designed based on public neoantigens may be the novel therapeutic agent with the highest potential for the treatment of cancer. A synthetic long peptide for isocitrate dehydrogenase was previously used to design a neoantigen vaccine using public neoantigens, which yielded promising results regarding the survival of patients with late-stage melanoma (54).

Autologous DC vaccines

DC-based tumor vaccines have revealed a high potential for both preclinical and clinical applications (55,56). Since they are highly effective antigen-presenting cells (APCs), DCs serve an important role in the regulation of both innate and adaptive immune responses, in addition to having a unique ability to activate effector and memory T cells. DC vaccines loaded with antigens have been demonstrated to induce more potent immune responses compared with vaccines composed of only antigens and adjuvants (57–59). For example, the objective response rate of patients with metastatic melanoma treated with an antigen-adjuvanted vaccine was only 2.6%, whilst that of metastatic melanoma treated with a DC vaccine was 9.5% (35). Therefore, neoantigen-based DC vaccines hold high potential for cancer therapy. In addition, Carreno et al (59) previously reported that DC vaccines loaded with neoantigens can trigger T-cell-specific responses, which enhanced the immune response in three patients with melanoma. In particular, two patients remained stable whereas one patient exhibited no adverse effects or cancer recurrence (44). In another study, Zhang et al (57) found that the neoantigen-pulsed DC vaccine was superior to the neoantigen peptide-adjuvant immune vaccine in activating the immune response and inhibiting murine lung carcinoma growth and spread. In addition, it was previously demonstrated that plasma cell-like DCs are also potent antitumor inducers. Plasma cell-like DCs expand the effects of neoantigens and increase the number of specific CD8+ T cells by presenting neoantigen peptides from melanoma (60).

Nucleic acid (DNA or mRNA) vaccines

Nucleic acid vaccines are anticipated to replace traditional vaccines in the near future due to their unique benefits. Specifically, nucleic acid vaccines are non-infectious, such that RNA vaccines cannot integrate into host cell genome, eliminating the possibility of insertion mutation (61). Additionally, nucleic acids can be quickly absorbed and expressed throughout the body with high levels of efficiency (24,62). Nucleic acid vaccines can also be used to exploit the strong immunogenicity of neoantigens to reverse immune tolerance, turning ‘cold’ tumors into ‘hot’ tumors. Importantly, these types of vaccines can be rapidly developed in a cost-effective manner (63). At present, nucleic acid cancer vaccines targeting neoantigens have been investigated in various clinical trials (64,65). However, further investigation into the coding regions of the nucleic acids in the vaccines is required to improve the levels of immunogenicity. Tondini et al (66) previously designed a circular DNA vaccine that used a plasmid to express the three neoantigenic determinants (dolichyl-phosphate N-acetylglucosaminephosphotransferase 1, RalBP1-associated Eps domain-containing 1 and Adpgk) before evaluating its efficacy in mice. The results obtained revealed that this polymer DNA vaccine induced prophylactic protection against the B16 melanoma expressing ovalbumin (49). Furthermore, Li et al (67) identified a novel CpG oligodeoxynucleotide for promoting the immune response to inhibit melanoma tumor growth effectively. Specifically, CpG combined with mRNA cancer vaccines exhibited improved antitumor efficacy (50). Overall, these aforementioned findings provide a novel theoretical basis for the development of DNA or mRNA vaccines to further emphasize the importance of immunotherapy strategy development (66,68).

Application of neoantigens in immune checkpoint blockade therapy

Numerous types of regulatory signals that can negatively regulate the tumor-killing ability of T cells are named immune checkpoints. The therapeutic field designed to suppress these associated signaling pathways leading to T-cell exhaustion is named immune checkpoint blockade therapy. Immune checkpoint inhibitors can continuously enhance the immune function of T cells in cancer (69). Previous studies have reported that PD-1 is a key signaling molecule in tumor immune evasion, which exerts immunosuppressive effects by binding to PD-L1 to inhibit T-cell proliferation and activation (69,70). In addition, cytotoxic T lymphocyte protein 4 (CTLA-4) has been shown to block T-cell activation by binding to CD80 or CD86 on APCs (71). CTLA-4 and PD-1/PD-L1 mono-antibodies are the most extensively used immune checkpoint blockers for cancer immunotherapy. Therefore, monoclonal antibodies have been designed to target these types of immune checkpoint molecules (CTLA-4 and PD-1/PD-L1) to eliminate immunosuppression, thereby restoring the antitumor immune response (72–76).

At present, FDA-approved immune checkpoint inhibitors include the following antibodies (18,77): i) In total, three anti-PD-1 antibodies, including pembrolizumab (Keytruda), nivolumab (Opdivo) and cemiplimab (Libtayo); ii) three anti-PD-L1 antibodies, including atezolizumab (Tecentriq), durvalumab (Imfinzi) and avelumab (Bavencio); and iii) an anti-CTLA-4 antibody, namely ipilimumab (Bristol-Myers Squibb). Antibodies targeting T-cell immune checkpoint receptors PD-1/PD-L1 have demonstrated notable efficacy against melanoma, NSCLC and glioblastoma (78–80). However, the sole use of immune checkpoint inhibitors confers limited effects on improving immune system functions and is exceptionally susceptible to drug resistance (20). Therefore, an effective strategy may be the combination of immune checkpoint blockers with immunotherapy based on neoantigens. The combination of neoantigen vaccines and immune checkpoint blockade therapy may enhance the ability of the immune system to recognize low-immunogenic molecules and shared TAAs by mimicking antigen epitope transmission and blocking the immune escape-associated pathway. The specific peptides produced by cancer cells bind to HLA molecules with high efficiency and are presented to CD8+ and CD4+ T cells by APCs, thereby inhibiting autoimmunity and maximizing the therapeutic effect of neoantigens (81). Liu et al (82) previously demonstrated that the efficacy of the combination of anti-PD-L1 antibody and a neoantigen vaccine was superior to that of anti-PD-L1 alone in an aggressive orthotopic murine glioblastoma model. Similarly, Duraiswamy et al (83) revealed that the efficacy of PD-1 and CTLA-4 dual-blockade combined with the neoantigen vaccine in suppressing CT26 colon carcinoma and ID8-VEGF ovarian carcinoma was mediated by restoring T-cell functions. These studies suggest that the combined therapy of neoantigen vaccines and immune checkpoint inhibitors holds great potential for the treatment of cancer.

Adoptive cellular therapies (ACT) targeting neoantigens

ACT was previously used to isolate immune cells, such as DCs, lymphokine-activated killer cells, TILs and cytokine-induced killer cells from patients for subsequent amplification in vitro prior to re-infusion (84). TCR is a T-cell-specific receptor that participates in antigen recognition by naturally-occurring T cells. Due to its unique structure and function, TCR only recognizes peptides bound to major MHC molecules (85). Follow-up immunotherapy following the in vitro amplification of TILs is a widely practiced treatment method (86). Tumor antigen-specific T cells can recognize antigenic epitopes on the surface of tumor cells and kill them. This has been frequently exploited for treating patients who did not respond well to immune checkpoint inhibitor therapy or surgery (21). ACT with TILs has been demonstrated to confer high levels of therapeutic efficacy in metastatic melanoma (74). In 10 patients with melanoma who were not previously treated with TIL infusion, they exhibited an overall response rate of 50% (87). In addition, neoantigen-specific T cells were detected in the tumor-infiltrating T cells of three patients. In total, six of the nine detected neoantigens were found to increase the response of specific T lymphocytes in the peripheral blood after the infusion of TILs (88). TIL-based adoptive T-cell therapies targeting neoantigens have demonstrated potential in patients with metastatic breast cancer (89). This highlight a basis for the development of novel personalized ACT against cancer.

Specific T lymphocytes have been screened in the tumor-infiltrating area for amplification and reinfusion. Tran et al (90) identified a GTPase KRAS G12D-targeting mutation (KRAS treatment gene, codon 12 mutation) in metastatic colorectal cancer. Neoantigen (KRAS G12D)-specific cell therapy resulted in the significant regression of the cancer. Sun et al (91) created an RNA mutanome vaccine based on neoantigens, which activated neoantigen-reactive T (NRT) cells. Following the adoptive transfer of these NRT cells, they exerted a significant antitumor effect in mouse lung cancer (78). These results suggest that adoptive NRT cell therapy is a feasible and effective therapeutic approach for lung cancer.

It should be emphasized that the amplification of T cells from bodily fluids or tissues requires a complex procedure. Notably, it is difficult to obtain high-affinity TCR+ T cells, where T cells amplified in vitro cannot survive in the recipient for a prolonged period of time following infusion. In addition, different types of antigens exhibit individual variations, even in tumors within the same tissue type (92). Therefore, it is difficult to share neoantigens among patients.

Outlook

Cancer immunotherapy has emerged as a novel strategy for treating malignant tumors. Specifically, immune responses targeting designed neoantigens has attracted considerable attraction according to findings from numerous clinical trials. Therefore, screening for novel neoantigens has become a key focus in the field of immunotherapy. With the rapid and continuous development of sequencing technology and bioinformatics algorithms, tumor mutation sites have been efficiently and accurately examined to accelerate this process. These neoantigens identified have been used as vaccines to stimulate the immune system and generate an antitumor response in patients with cancer.

However, a significant number of limitations remain that must be addressed prior to the broader application of neoantigen-targeting immunotherapies. During the development and progression of tumors, numerous neoantigens with high levels of diversity are produced, which limits the option for developing a standardized model. Furthermore, previous studies have reported that only a small fraction of non-synonymous mutations identified by tumor WES are immunogenic (93,94). Therefore, screening for specific neoantigens associated with specific tumors is critical. Cancers treated using personalized immunotherapies, such as ACT or vaccinations, may also generate a potently immunosuppressive local environment to prevent the activation of neoantigen-specific T cells (95). Rational strategies are therefore required to identify candidate neoantigens and evaluate their immunogenicity. Further limitations include the loss of neoantigens with heterogeneous expression profiles inside the treated tumor, which may result in the selection of subclones devoid of the target neoantigen (76).

In conclusion, the emergence of novel therapies, including neoantigen vaccines and ACT based on neoantigens, is expected to revolutionize the treatment of cancer based on precision medicine. The use of neoantigen vaccines have demonstrated encouraging outcomes and are more ideally suited for combination therapies, including those with checkpoint inhibitors, surgery, radiation therapy and chemotherapy. In addition, neoantigen-based therapeutic strategies hold potential for the treatment of cancer, such that an increase in the spectra of human malignancies that can respond to cancer immunotherapy will be developed.

Acknowledgements

Not applicable.

Funding

The present review was supported by the National Natural Science Foundation of China (grant no. 81870237), the Foundation of Health Commission of Weifang (grant no. wfwsjk_2019_025), the Research Project of Shandong Provincial Education Department (grant no. J14LK12) and the Weifang Medical University Doctoral Startup Fund.

Availability of data and materials

Not applicable.

Authors' contributions

XF, ZG and JL wrote the manuscript. JW drafted the figure and table and revised the manuscript. XG and HL reviewed and edited the manuscript. ZG and YL contributed to the conception and design of the article and acquired funding. Data authentication is not applicable. All authors have read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References