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REVIEW article

Front. Immunol., 22 January 2018
Sec. Cancer Immunity and Immunotherapy

The Potential Role of circRNA in Tumor Immunity Regulation and Immunotherapy

\r\nZihao Xu,Zihao Xu1,2Peiyao Li,Peiyao Li1,2Li FanLi Fan3Minghua Wu,*\r\nMinghua Wu2,1*
  • 1Hunan Provincial Tumor Hospital and the Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, China
  • 2Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Key Laboratory of Carcinogenesis, Ministry of Health, Cancer Research Institute, Central South University, Changsha, China
  • 3Department of Biochemistry, University of California Riverside, Riverside, CA, United States

Non-coding RNAs (ncRNAs) can be divided into circular non-coding RNAs (circRNAs) and linear ncRNAs. ncRNAs exist in different cell types, including normal cells, tumor cells and immunocytes. Linear ncRNAs, such as long ncRNAs and microRNAs, have been found to play important roles in the regulation of tumor immunity and immunotherapy; however, the functions of circRNAs in tumor immunity and immunotherapy are less known. Here, we review the current status of ncRNAs in the regulation of tumor immunity and immunotherapy and emphatically discuss the potential roles of circRNAs as tumor antigens in the regulation of tumor immunity and immunotherapy.

Introduction

Non-coding RNAs (ncRNAs), mainly including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), constitute approximately 95% of total RNAs in eukaryotic cells (1) and have important physiological functions in gene regulation (2). An increasing number of studies have shown that the roles of ncRNAs in tumorigenesis and tumor immunity are complicated and significant (3, 4). As a novel type of ncRNA, circular RNAs were first found in RNA viruses approximately 40 years ago and were thought to be a result of RNA splicing errors (5, 6). However, in this century, the vital functions of circRNAs in eukaryotes have increasingly come to light. Recently, with the development of RNA sequencing, thousands of types of circRNAs have been found to be endogenous in mammalian cells and to be stable and abundant (6). Various physiological functions are associated with circRNAs, such as acting as miRNA sponges (79) and protein translation templates (1013) and regulation of gene expression (1417), including expression of the parental genes (18). In addition, circRNAs are abundant in eukaryotes, especially in the central nervous system (19, 20), and are involved in many diseases, including different cancers (2123) and autoimmune diseases (24, 25).

The ability of the immune system to fight tumors was first discovered by Dr. William Coley in the 19th century. He used Coley’s toxins to trigger an immune response and treat patients with various types of inoperable carcinomas, especially sarcomas (26). Over time, tumor immunotherapy has become increasingly popular, including cellular therapies, checkpoint blockades, tumor vaccines, and cytokines (27). However, immunotherapy is not satisfactory as a result of tumor heterogeneity, and side effects still exist (26). Although the functions of ncRNAs in tumor immunity have become better known, especially miRNAs (28), the roles of ncRNAs (circRNAs in particular) in tumor immunity remain unclear at present. Here, we reviewed the current status of ncRNAs in tumor immunity, emphatically discuss the potential roles of circRNAs in regulating the immunity regulation.

Current Status of Antitumor Immunity of Linear ncRNAs

Tumor immunity requires T cells and dendritic cells (DCs) to achieve antitumor effects (27). First, tumor cells secrete tumor antigen concomitant with tumor growth. Then, DCs capture the antigens to stimulate antigen-specific T cells through major histocompatibility complex (MHC) classes I and II. Human MHC molecules are also called human leukocyte antigen (HLA). MHC class I activates CD8+ cytotoxic T cells (CTLs), whereas MHC class II activates CD4+ helper T cells. Helper T cells are divided into four types (Th0, Th1, Th2, and Th3). Th1 cells have multiple functions involving the secretion of cytokines, including interleukin (IL)-2 and interferons (IFNs), to promote CTL proliferation and CTL-mediated immune responses, whereas Th2 cells produce cytokines, such as IL-6, which stimulate B cell proliferation (27). Finally, through the regulation of helper T cells and other cells, CD8+ CTLs and natural killer (NK) cells are activated to exert the antitumor effect (27, 29).

Although the immune system responds to tumor cells, other factors are also involved throughout the process, including suppressor immune cells [such as regulatory T cells (Treg cells), myeloid-derived suppressor cells, and tumor-associated macrophages], epigenetic modifications, and checkpoints. Studies have shown that the median ratio of Tregs-to-oTLs (overall T lymphocytes) increases from 3 to 8% in healthy tissues to 18–25% in all tumor entities and that Tregs suppress effector T lymphocytes to fight tumors (30). Epigenetic silencing of the Th1-type chemokines CXCL9 and CXCL10 through mechanisms such as enhancer of zeste homolog 2 (EZH2)-mediated histone H3 lysine 27 trimethylation and DNA methyltransferase (DNMT) 1-mediated DNA methylation reduces effector T cell trafficking to the tumor microenvironment (31). A similar phenomenon was also observed for polycomb repressive complex 2 (PRC2) in colon cancer (32). The immune system is complicated and thus needs checkpoints to prevent autoimmunity, such as cytotoxic T lymphocyte-associated antigen 4 (CTLA4, CD152) and programmed cell death protein 1 (PD-1) (27). CTLA4 originates from the CD28 receptor family and is an inhibitory molecule expressed on the T cell surface that activates these cells by delivering inhibitory signals and competing with the T cell activation molecule CD28 for binding to CD80 (B7.1) and CD86 (B7.2) (3335). PD-1 is also a member of the B7/CD28 family and is expressed on activated T cells, leading to negative regulation of lymphocyte activation (27). PD-1 binding to its ligands PD-L1 (B7-H1, CD274) and PD-L2 (B7-DC; CD273) inhibits the activation of the PI3K/AKT and Ras/MEK/ERK pathways to decrease T cell proliferation and apoptosis and suppresses cytokine production and glycolysis to reprogram the supersession of activated T cells (27, 36, 37). ncRNAs (especially miRNAs) can also regulate T cell development, function, and aging; for instance, miR-21, miR-155, and miR-17–92 regulate T cell activation, which miRNAs are called Immuno-miRs (38). In tumor immunity, although linear ncRNAs are a research hotspot (especially miRNAs and lncRNAs), and are essential for the pathyological activities of immunocytes in tumors, not all of their functions are clearly understood.

miRNAs and Antitumor Immunity

Some studies have shown that dysregulation of certain miRNAs in cancer cells contributes to immune privilege (39). In glioma, miR-15a/16 deficiency can result in infiltration by CD8+ CTLs and inhibit tumor growth through targeting mTOR (40). In melanoma cells with downregulation of miR-211, the potential target of miR-211 (preferentially expressed antigen of melanoma protein) is overexpressed (41). In 2014, Xie et al. found that miR-20a was overexpressed in human ovarian cancer tissues, which decreased NK cell cytotoxicity through binding directly to the 3′-untranslated region of the MICA/B mRNA. This binding cleaved the mRNA and thus reduced MICA/B protein expression; these proteins are ligands of the natural killer group 2 member D receptor that is found on NK cells, macrophages, γδ(+) T cells, and CD8(+) T cells and thus resulted in immune privilege (42). miR-133a, which controls HLA-G protein stability, is decreased in ovarian, prostate, and bladder cancer, whereas miR-148/152, which also regulate HLA-G, are downregulated in hepatocellular carcinoma and gastrointestinal cancers (29). miR-487b suppresses IL-33 mRNA and protein expression during the differentiation of bone marrow-derived macrophages (43). The miR-17-92 cluster promotes CD4+ T cell activation, survival, proliferation, and Th1 differentiation but inhibits Th2 and iTreg differentiation (44).

MicroRNAs also exert regulatory functions through tumor-derived exosomes and microvesicles (MVs) (45, 46). In exosomes from nasopharyngeal carcinoma cells, hsa-miR-24-3p, hsa-miR-891a, hsa-miR-106a-5p, hsa-miR-20a-5p, and hsa-miR-1908 are overexpressed and downregulate the MARK1 signaling pathway to alter T cell proliferation and differentiation and even promote T cell dysfunction (45). miR-214, which is secreted by human cancers, can be delivered into recipient T cells via MVs and promote tumor growth, including downregulating the phosphatase and tensin homolog, promoting Treg expansion, inducing Treg cells to secret high levels of the immunosuppressive cytokine IL-10, and preventing MHC type II molecule expression by T cells (46). Thus, miRNAs can regulate the expression of tumor antigen in tumor cells, regulate immunocyte viability, including CTLs, NK cells, DCs, Th cells, and Treg cells, and even regulate cytokines through tumor-secreted exosomes and MVs.

lncRNAs and Antitumor Immunity

Long ncRNAs are defined as ncRNAs with over 200 nucleotides with no protein-coding capacity (47). lncRNAs regulate gene expression at the epigenetic (XIST, ANRIL, HOTAIR, and HOTTIP), transcriptional (7SK, SRA, PCAT-1, and GAS5) and posttranscriptional (MALAT1, 1/2-sbsRNAs, NEAT) levels through interacting with different types of molecules, such as miRNAs, mRNAs, and even proteins (4850). lncRNAs are differentially expressed between various tissues or developmental stages and participate in the physiological activities of normal cells, tumor cells, and cells involved in different diseases. They act as scaffolds to bridge different molecules [e.g., HOTAIR can bind PRC2 and the LSD1–CoREST complex to recruit chromatin-modifying factors (50)], as a part of ribonuceloproteins [e.g., lncRNA-Cox2 binds hnRNP-A/B and hnRNP-A2/B1 to regulate immune gene expression (51)], and miRNA sponges [e.g., H19 functions as a miRNA sponge for miR-138 and miR-200a to promote the epithelial to mesenchymal transition in colorectal cancer (52)].

The expression of lncRNAs has been studied in immunocytes. CD11c+ DCs express lncRNAs when stimulated with lipopolysaccharide, whereas CD8+ and CD4+ T cells express hundreds of lncRNA genes that are specific and play roles during differentiation or activation (47, 5357). Hu et al. identified 1,524 lncRNAs in 42 T cell samples ranging from early T cell progenitors to terminally differentiated T helper (Th) subsets. The authors found that STAT4 activated the expression of Th1-preferred lncRNAs, whereas STAT6 activated the expression of Th2-preferred lncRNAs (53). Th2-locus control region (LCR) lncRNAs, which are lncRNAs clustered close to the Th2 LCR, are vital for the ability of Th2 cells to express IL-4, IL-5, and IL-13 by establishing histone H3K4Me marks at the IL-4, IL-5, and I-13 promoters and recruiting enzymes to alternatively splice the transcripts (53).

Many lncRNAs colocalize with protein-coding genes that are highly enriched in immune functions. For instance, LincR-Ccr2-5′ AS facilitates Th2 cell migration through regulating the expression of Ccr genes via a mechanism that is distinct from the modulation of chromatin accessibility or Pol II recruitment (54). The RNA helicase DEAD-box protein 5 can function as a transcriptional co-activator and interact with RORγt to coordinate the transcription of selective Th17 genes (i.e., IL-17a, IL-17f, and IL-22); however, its function depends on a conserved nuclear Rmrp (56). The lncRNA-CD244 recruits polycomb protein EZH2 to the infg/tnfa promoters and mediates H3K27 trimethylation at the infg/tnfa loci to inhibit IFN-γ/TNF-α expression in CD8+ cell (55, 57). In Treg cells, lnc-Smad3 interacts with the histone deacetylase HDAC1 and contributes to epigenetic modifications, thereby silencing the expression of Smad3, which can mediate signals from the transforming growth factor beta superfamily ligands to regulate cell activity (57).

Apart from T cells, lncRNAs also dominate the regulation of gene expression in B cells (58). Researchers have found that most lncRNAs identified in B cells are substantially different from those identified in other immunocytes and that 20% of these lncRNAs can associate with enhancer or promoter regions to regulate gene transcription (58). For example, LNCGme00432, LNCGme00344, and LNCGme00345, which are bound by the transcription factor PAX5, are located close to the B cell lymphoma 11a gene, which is vital for B cell development, and thus allow Bcl11a to be regulated by PAX5 (58). The interactions of lncRNAs and immunocytes have also been studied in leukemia (5860). In human T cell acute lymphoblastic leukemia (T-ALL), the lncRNA LUNAR1 is regulated by the Notch pathway and is necessary for efficient T-ALL growth through enhancement of IGF1R mRNA expression (59). Additionally, the lncRNA NALT functions as a transcription factor in pediatric T-ALL to activate the NOTCH signal pathway and promote cell proliferation (60).

Current Status of Immunotherapy with Linear ncRNAs

Although the immune response can fight tumors, tumors can escape immune surveillance through decreasing the expression of tumor antigens and/or inhibiting the functions of CTLs and DCs. Consequently, researchers have increasingly focused on tumor immunotherapies, such as CAR T cell adoptive immunotherapy, immune checkpoint blockade therapy, cancer vaccines, and oncolytic virus therapy (27, 61, 62). Some of these therapies are related to regulation by linear ncRNAs, although research is limited.

The Progress and Confusion of CAR T Cell Adoptive Therapy

CAR T cell adoptive therapy is a technique that uses adoptive cell transfer to treat cancer (61). To achieve this goal, researchers redirect T cell killing to cells expressing the antibody’s cognate antigen through transducing T cells with chimeric genes encoding single-chain antibodies linked to a transmembrane region and an intracellular domain that encode the signaling adaptor for the T cell receptor (Figure 1A). CD19-targeted CAR T was an effective modality for the treatment of refractory B cell malignancies, including acute and chronic lymphatic leukemia and Hodgkin’s and non-Hodgkin’s lymphomas, in a series of clinical studies (63). However, extending this approach to allogeneic T cells has not been satisfactory, because this therapy may carry a significant risk of inducing graft-versus-host disease; the use of cord blood NK cells engineered to express IL-15 can improve this limitation (64). However, many problems still exist for solid tumors, including physical barriers, the immunosuppressive tumor microenvironment, and specificity and safety (65). To solve these problems, researchers have focused on finding novel targets for CAR T cell therapy for solid tumors, including the use of CD70 as the target for gliomas (66) or choosing combination therapy, which will be discussed later.

FIGURE 1
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Figure 1. Current immunotherapy research. (A) CAR-T cell therapy indicates that T cells collected from cancer patients are genetically engineered to identify the tumor antigens and activate T cells to achieve the effect of antitumor immunity; (B) immune checkpoint therapy blocks programmed cell death protein 1 (PD-1) or cytotoxic T lymphocyte-associated antigen (CTLA4). PD-1 binds to PD-L1 to inhibit protein-tyrosine phosphatase-2 (SHP-2), which is involved in CTL activation. Pembrolizumab or nivolumab can block PD-1, allowing SHP-2 to strengthen the antitumor immunity. CTLA4 competes with CD28 for binding to CD80/86 to activate T cells. After blocking CTLA4 with ipilimumab, CD28 can bind to CD80/86 to help activate T cells and strengthen antitumor immunity; (C) cancer vaccine therapy includes using tumor-associated antigens (TAA) or a tumor-associated virus to activate antigen-presenting cells (APCs), such as dendritic cells (DCs), or to activate cytotoxic T cells (CTLs) to assist antitumor immunity or genetically engineering tumor cells to make them express immune stimulatory cytokines, such as GM-CSF, to stimulate anti-tumor immunity; (D) oncolytic virus therapy indicates that oncolytic viruses can kill tumor cells or enhance the identification of their presented antigens by APCs to assist with antitumor immunity.

The Advantages and Disadvantages of Immune Checkpoint Therapy

Immune checkpoint therapy is a therapy that uses antibodies that block checkpoints, such as the CTLA-4 and PD-1 pathways (Figure 1B). In 2011, the US Food and Drug Administration (FDA) approved anti-CTLA-4 antibodies (ipilimumab) for use in treating melanoma (61). Additionally, pembrolizumab and nivolumab, which inhibit the PD-1 pathway, have been approved by the FDA for the treatment of ipilimumab-refractory melanoma. Nivolumab is also an anti-PD-1 monoclonal antibody used for the treatment of Hodgkin’s lymphoma. In addition, MPDL-3280A, which is an anti-PD-L1 monoclonal antibody, is used for the treatment of bladder cancer and non-small cell lung cancer (NSCLC) (67).

Some patients who receive immune checkpoint therapy have durable and gratifying responses. However, until now, a majority of patients cannot respond to immune checkpoint inhibition in the histologies tested (68). The KEYNOTE-061 pembrolizumab in Phase III trials for patients with advanced gastric or gastroesophageal junction adenocarcinoma may not improve the overall survival and progression free survival, even in the PD-L1 positive population (69). Among patients with previously untreated stage IV or recurrent NSCLC with a PD-L1 expression level of 5% or more, first-Line Nivolumab cannot provide a longer progression-free survival (70). The phase III KEYNOTE-183 and KEYNOTE-185 pembrolizumab trails for patient with multiple myeloma are not satisfied. And Merck announced that it was postponing enrollment in them (71). It seems that not all of immune checkpoint therapy is effective and the mechanism of immune checkpoint is still not clear enough. And if a patient receiving immune checkpoint therapy has disease recurrence, the future treatment will be unclear enough (72). Besides, blocking the immune system’s natural inhibitory mechanisms will bring unpredictable side-effects which have manifested clinically as diarrhea, rash, and hepatitis (72). ncRNAs can play vital roles in immune checkpoints. miR-138 suppresses CTLA-4 and PD-1 expression in CD4+ cells, which are involved in the anti-glioma efficacy (73). Cortez et al. proved that PD-L1 was regulated by p53 via miR-34 (p53/miR-34/PD-L1 axis) in lung cancer, which might assist in the development of a therapy against this cancer (74).

The Progress and Limitations of Cancer Vaccine Therapies

Cancer vaccines can promote tumor-specific immune responses, especially for CD8+ CTLs specific for tumor antigens. Cancer vaccines generate antitumor immunity through administration of tumor antigens with antigen-presenting cells (APCs), including DCs, B cells, and monocytes. The tumor antigens include overexpressed antigens, cancer-testis antigens, oncofetal antigens, and mutated antigens (75). There are four types of cancer vaccines: peptide-based strategies (through the delivery of MHC class I-restricted peptide epitopes derived from tumor-associated antigens to activate rare specific CD8+ T cell clones), APC-based strategies (e.g., DCs are the most effective APCs; mononuclear cells from autologous patients are cultured in vitro to induce the formation of DCs and then loaded with tumor antigen and used to treat patients), tumor-based strategies [through killing and engineering tumor cells to express immunostimulatory cytokines, such as granulocyte-macrophage colony-stimulating factor (GM-CSF), to stimulate antitumor immunity] and virus-based strategies (75) (Figure 1C). However, the effects of cancer vaccines are limited due to the immunosuppressive effects of the tumor microenvironment and the difficulty in specifically selecting target antigens (75, 76).

The Present Situation for Oncolytic Virus Therapy

Oncolytic viruses are viruses that selectively replicate in cancer cells and kill them without harming normal tissues. These viruses can be genetically engineered or naturally occurring (62) (Figure 1D). Talimogene laherparepvec (T-Vec) is a second-generation oncolytic herpes simplex virus type 1 (HSV-1) that is armed with GM-CSF to treat malignant melanoma; this virus was first shown to be an oncolytic viral drug in the USA and Europe. Other viruses, including JX-594 for hepatocellular carcinoma, are still in clinical trials. In Japan, G47 (a third-generation oncolytic HSV-1) was used in research to treat glioblastoma patients. The main feature of these viruses is the induction of specific antitumor immunity during specific viral replication steps. For example, genetically engineered oncolytic viruses, such as T-Vec and G47, contain a deletion in the α47 gene, whose product can inhibit the transporter associated with antigen presentation. Therefore, APC processing will be facilitated by injecting an engineered oncolytic virus, and cancer cells will be more easily attacked by the immune system (62). There are significant effects for some patients with melanoma treated by T-Vec, but the safety of oncolytic viruses is still concerned (77, 78). They are live viruses with the possibility of proliferating upon clinical administration. Besides, they can induce host antiviral immune responses and for immunocompromised patients, it may be not an appropriate therapy but even harmful (77). At last, researches showed that this therapy is much slower than therapeutic agents that directly kill tumor cells (77). In oncolytic virus therapy, miRNA target sequences can be incorporated to control exogenous gene expression and viral tropism in different tissues as a mechanism to enhance the therapeutic effect of oncolytic viruses and thus reduce toxicities in nontarget tissues (79).

Combination Immunotherapy

Due to the limitations of these different immunotherapies, researchers have begun to focus on combination immunotherapies to strengthen treatment effects. For example, in prostate cancer models, adoptive human prostate-specific membrane antigen-CAR T cell immunotherapy was enhanced when combined with a PD-1 blockade, but the treatment response had a relatively short duration (80). In pancreatic ductal adenocarcinoma (PDA), PD-L1 was weakly expressed in untreated human and murine PDAs. Treatment with a granulocyte macrophage colony-stimulating factor-secreting PDA vaccine (GVAX) upregulated PD-L1 membranous expression. Treatment of tumor-bearing mice with combination therapy including a vaccine and PD-1 antibody blockade improved murine survival compared with PD-1 antibody monotherapy or GVAX therapy alone (81). In colon and ovarian cancer models, injection of the oncolytic vaccinia virus vvDD attracted effector T cells and induced PD-L1 expression by both cancer and immune cells in the tumor. The combination of an oncolytic vaccinia virus and the PD-L1 blockade reduced PD-L1-positive cells and promoted non-redundant tumor infiltration of effector T cells and, therefore, enhanced the therapeutic efficacy (82). Moreover, because linear ncRNAs have their own functions in different immunotherapies, focusing on the use of ncRNAs to aid immunotherapies has great potential. However, the relationship between ncRNAs and immunotherapy remain unclear.

Functions of circRNAs

Since circRNAs became a field of interest for researchers, several reviews have examined the functions of circRNAs. These functions can be divided into four parts: working as miRNA sponges to inhibit their functions, interacting with proteins to regulate gene expression, regulating gene expression, and regulation protein translation (1, 8385).

circRNAs As miRNA Sponges

circRNAs were demonstrated to function as miRNA sponges in 2013, especially ciR-7 (also named CDR1as) and sex-determining region Y (Sry) (7). ciR-7 contains more than 70 selectively conserved miRNA target sites that can bind miR-7, facilitate a specific miR-7-AGO2 interaction, and suppress miR-7 activity in diseases including hepatocellular carcinoma, colorectal cancer, and diabetes (7, 8688). The circRNA Sry, which is specific to the mouse testes, has 16 binding sites for miR-138 (7). Over time, more circRNAs have been identified as miRNA sponges, including circMTO1 as a miR-9 sponge in hepatocellular carcinoma (89), cir-ZNF609 as a miR-145 sponge in bowel tissues with Hirschsprung disease (90), and CircBIRC6 as a sponge for miR-34a and miR-145 in human embryonic stem cells (91).

circRNA Binding to Proteins

Scientific reports have shown that circRNAs can bind proteins to perform physiological functions. Du et al. found that circFoxo3 was able to bridge cyclin-dependent kinase 2 (CDK2) and p21 to influence the cell cycle (14). In addition to bridging CDK2 and p21, circFoxo3 has similar functions in the interaction between MDM2 and p53 (14). By binding to both proteins, circ-Foxo3 promoted MDM2-induced p53 ubiquitination and facilitated p53 degradation. circANRIL, which directly interacts with pescadillo homolog 1, can prevent the maturation of ribosomal RNA (16). CircPABPN1 was confirmed to bind to HuR and suppress its binding to the PABPN1 mRNA (15). Besides, circAmotl1 was proven to bind to PDK1 and AKT1 to lead to AKT1 phosphorylation and nuclear translocation in human cardiac tissue (92).

circRNAs Regulate Gene Expression

Although the regulation of gene expression through the miRNA sponge function of circRNAs has been more widely studied, circRNAs have also been reported to modulate gene expression both transcriptionally and posttranscriptionally.

circRNAs Regulate Gene Transcription

Circular RNAs can influence gene transcription through direct and indirect mechanisms. For example, the exon-intron circular RNAs (ElciRNA) circEIF3J and circPAIP2 have cis regulatory effects on their parental genes EIF3J and PAIP2 and facilitate their expression through interacting with Pol II, U1 snRNP, and their parental gene promoters (18). The circRNAs ci-ankrd52 and ci-sirt7 have functions similar to circEIF3J and circPAIP2 as positive regulators through their interactions with Pol II (93). All of these circRNAs modulate gene transcription as a transacting element.

Some circRNAs can influence other proteins to enter the nucleus and regulate gene transcription, such as circAmotl1 (94, 95). circAmotl1 can increase STAT3 expression and even increase its nuclear translocation to regulate the expression of mitosis-associated genes (94). In cancer cell lines, circAmotl1 can promote nuclear c-myc expression and help this factor bind to gene promoters to trigger tumorigenicity (95).

circRNAs Regulate mRNA Splicing and Stability

In mouse macrophages, the LPS-inducible circRNA mcircRasGEF1B increases ICAM-1 expression and stabilizes mature ICAM-1 mRNAs (96). In plants, the circRNA derived from the SEP3 gene can bind strongly to its cognate DNA locus and form a R-loop, which can induce transcriptional pausing to regulate cognate mRNA splicing (97).

circRNAs As Translation Templates

circRNA belong to ncRNAs, but an increasing number of studies have shown that circRNAs can function as translation templates (1013). In 2017, researchers showed that circ-ZNF609, which controlled myoblast proliferation and had a 753-nt open reading frame from the start codon to an in-frame stop codon, translated proteins through sequences able to act as internal ribosome entry sites (IRESs) (12). At the same time, Pamudurti et al. found that many circRNAs were associated with translating ribosomes based on ribosome footprinting and that the UTRs of these circRNAs could mediate cap-independent translation; for example, the translation of circMbl was regulated by starvation and FOXO in fly heads (11). A recent study confirmed that circRNA translation could be driven by N6-methyladenosine (m6A) (12). In normal human brain, circ-FBXW7 is highly expressed and translated into a novel 21-kDa protein termed FBXW7-185aa, which can help to inhibit proliferation and cell cycle acceleration in cancer cells (13).

Putative Roles of circRNAs in Antitumor Immune Regulation and Immunotherapy

Although circRNAs have been reported to contain a wealth of potential functionalities in tumorigenesis and the immune system, these functionalities are not clearly understood. In tumors, many circRNAs have been found to be potential biomarkers for the cancer diagnosis and prognosis (21, 83). hsa_circ_002059 was confirmed to be significantly downregulated in gastric cancer tissues in 2015 (98). In laryngeal squamous cell cancer tissues, hsa_circRNA_100855 was the most upregulated circRNA, whereas hsa_circRNA_104912 was the most downregulated circRNA (99). Moreover, circRNA networks with other ncRNAs in tumor cells have been increasingly studied (23). These studies investigating ncRNA networks are more focused on the tumor itself and will help elucidate how different ncRNAs work in tumor cells to regulate tumor development in the absence of a tumor environment.

Cellular circRNAs Regulate Antitumor Immunity with miRNAs or Proteins

The relationship between miRNAs and tumor immunity is clearer than the relationships for lncRNAs and circRNAs. The close relation between circRNAs and miRNAs can help circRNA participate in antitumor immunity through circRNA–miRNA–mRNA axis. circRNAs can be found interacting with miRNAs that participate in tumor immunity (Figure 2A). In 2017, the circRNA hsa_circ_0020397 was found to bind to miR-138, suppress miR-138 activity, and sequentially promote the expression of miR-138 targets, such as telomerase reverse transcriptase and PD-L1, in colorectal cancer cells (CRCCs) (100). Due to the high level of has_circ_0020397 expression in CRCCs, PD-L1 is upregulated and can interact with PD-1 to induce cancer immune escape. It seems that during immune checkpoint therapy, the change of circRNAs expression may influence the effect of this therapy. circAmotl1, which was discussed above, upregulates Dnmt3a, which can methylate the miR-17 promoter and decrease miR-17-5p expression; as a result, STAT3 expression is increased and plays an important role in tumor-mediated immune suppression (94). Through bioinformatics analyses, circRNA databases [i.e., starBase v2.01 and circBase2 (85)] can be used to predict whether a circRNA can regulate tumor immunity-associated miRNAs, such as miR-148/152, miR-487b, and miR-17-92. Potential new tumor antigens may be identified based on these predictions.

FIGURE 2
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Figure 2. Putative roles of circular RNAs (circRNAs) in antitumor immune regulation and immunotherapy. (A) circRNAs can bind to microRNAs (miRNAs) to upregulate the expression of genes associated with antitumor immunity, including PD-L1 and STAT3; (B) circRNAs can bind proteins, such as MDM2 and p53, to regulate their stability and antitumor immunity; (C) circRNAs in tumor exosomes may be transported to immunocytes as tumor antigens to activate antitumor immunity or bind to miRNAs and proteins to regulate immunocyte activity; (D) circRNAs may stabilize miRNAs in exosomes when they are transported from tumor cells to immunocytes and then help release the miRNAs into the immunocytes.

Compared to the interaction of miRNAs with circRNAs, the interactions of circRNAs with proteins are less well understood. circFoxo3 binds to MDM2, which is associated with p53, to induce p53 degradation. In tumor stromal cells, p53 plays a key role in tumor development by inducing an increase in inducible nitric oxide synthase expression and modulating the immune responses (14, 101) (Figure 2B). This evidence showed that circRNA can modulate the stability of some proteins like p53 to regulate immune responses in tumor.

Exosomal circRNAs Modulate Antitumor Immunity with the Possibility of Tumor Antigen

Due to their stable and specific properties, circRNAs may serve as tumor antigens for the immune response. Chen et al. showed that transfection of purified circRNAs led to the activation of RIG-I, which is a nucleic acid sensor that can sense foreign circRNAs and induce innate immune gene expression (101, 102). Many abnormal circRNAs are produced during tumorigenesis due to genetic mutations and chromosomal changes. In acute promyelocytic leukemia, the chromosomal translocations of PML/RARα give rise to fusion circRNAs (103). Then, the newly formed abnormal circRNAs may be transported to immunocytes through exosomes and extracellular vesicles secreted by the tumor cells. In 2016, researchers reported that circRNAs were downregulated and transferred to exosomes from KRAS mutant colon cancer cells (104). In addition, the circRNAs in exosomes may participate in the regulation of Treg cells (105). Researchers have also found that circRNAs can co-precipitate with extracellular vesicles (106). These studies suggest that circRNAs have the potential to contribute to cell-to-cell communication. Consequently, circRNAs may be a promising target for tumor immunotherapy (Figure 2C).

In addition to serving as tumor antigens, abnormal circRNAs may also translate proteins or polypeptides by acting as tumor antigens. Furthermore, abnormal circRNAs may participate in cell-to-cell communication and bind immune factors to regulate immune activity. For example, the immune factors NF90/NF110 can associate with intronic RNA pairs to form circRNAs, but these factors dissociate from circRNA-binding proteins during viral infections and bind to viral mRNAs to regulate antiviral immunity (105, 107).

Besides, circRNAs may carry other RNAs and both of them work as tumor antigens. Various types of miRNAs and mRNAs present in cancer exosomes can regulate metastasis, invasion, tumorigenesis, and tumor progression, such as the miR200 family in breast cancer exosomes and miR105 in various cancers (108). Therefore, circRNAs may not directly regulate immune activity but instead may bind to miRNAs or mRNAs, strengthen their stability in exosomes during transportation, and release them when they reach the target immunocytes to improve their functions (Figure 2D). There is a new idea that circRNAs may carry tumor-specific miRNAs or mRNAs to transport cells to cells, which can work as a new kind of tumor antigens.

In addition to the involvement of exosomes secreted by cancer cells in antitumor immunity, exosomes secreted by stromal cells in the tumor microenvironment are also vital for cancer cell metastasis and prepossession. In 2017, Nabet et al. showed that unshielded RN7SL1 RNA in exosomes secreted by stromal cells through triggering of stromal NOTCH-MYC by breast cancer cells activated RIG-I to induce the expression of interferon-stimulated tumor growth and therapy resistance (109). As reviewed previously, purified circRNAs are able to activate RIG-I (110) and may function similar to RN7SL1 RNA in exosomes. These foreign circRNAs can be recognized by RIG-I and may activate innate immunity. Therefore, foreign circRNAs from tumor cells may activate immunocytes to fight tumors.

Conclusion

ncRNAs, especially circRNAs, have attracted increasing attention from researchers worldwide. These RNAs have been confirmed to regulate gene expression and signaling pathways and to translate proteins in many diseases, including cancer (Table 1). Although the functions of circRNAs and linear ncRNAs in tumor immunity are unclear, these molecules have great potential to serve as tumor antigens or work with mRNAs and proteins in immunocytes. For traditional immunotherapy, such as CAR T cell adoptive therapy or cancer vaccine therapy, researchers may focus more on finding novel antigen proteins to enhance treatment effects. However, a circRNA from a potential RNA virus may act as a new tumor antigen for cancer vaccines and oncolytic viruses to activate or induce antitumor immunity in vivo. Conversely, circRNAs in exosomes secreted by stromal cells can be blocked to inhibit tumor cell inflammation and growth.

TABLE 1
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Table 1. The relationship between linear non-coding RNAs (ncRNAs) with antitumor immunity.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Conflict of Interest Statement

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

Funding

This work was supported by the National Key Technology Research and Development program of the Ministry of Science and Technology of China (2014BAI04B02) and the Graduate Research and Innovation Projects of Central South University (Grant 502211726).

Abbreviations

APCs, antigen-presenting cells; CDK2, cyclin-dependent kinase 2; circRNAs, circular RNAs; CRCC, colorectal cancer cells; CTLA4, cytotoxic T lymphocyte-associated antigen 4; CTLs, cytotoxic T cells; DCs, dendritic cells; DNMT, DNA methyltransferase; ElciRNA, exon-intron circular RNAs; EZH2, enhancer of zeste homolog 2; FDA, Food and Drug Administration; HLA, human leukocyte antigen; IL, interleukin; IFNs, interferons; LCR, locus control region; lncRNAs, long non-coding RNAs; MHC, major histocompatibility complex; miRNAs, microRNAs; MVs, microvesicles; m6A, N6-methyladenosine; NSCLC, non-small cell lung cancer; ncRNAs, non-coding RNAs; NK cells, natural killer cells; PDA, pancreatic ductal adenocarcinoma; PRC2, polycomb repressive complex 2; PD-1, programmed cell death protein 1; RISC, RNA-induced silencing complex; TAA, tumor-associated antigens; T-ALL, T cell acute lymphoblastic leukemia; Th, T helper; Treg cells, regulatory T cells; T-Vec, talimogene laherparepvec.

Footnotes

References

1. Greene J, Baird AM, Brady L, Lim M, Gray SG, McDermott R, et al. Circular RNAs: biogenesis, function and role in human diseases. Front Mol Biosci (2017) 4:38. doi:10.3389/fmolb.2017.00038

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Patil VS, Zhou R, Rana TM. Gene regulation by non-coding RNAs. Crit Rev Biochem Mol Biol (2014) 49:16–32. doi:10.3109/10409238.2013.844092

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Atianand MK, Fitzgerald KA. Long non-coding RNAs and control of gene expression in the immune system. Trends Mol Med (2014) 20:623–31. doi:10.1016/j.molmed.2014.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Esteller M. Non-coding RNAs in human disease. Nat Rev Genet (2011) 12:861–74. doi:10.1038/nrg3074

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sanger HL, Klotz G, Riesner D, Gross HJ, Kleinschmidt AK. Viroids are single-stranded covalently closed circular RNA molecules existing as highly base-paired rod-like structures. Proc Natl Acad Sci U S A (1976) 73:3852–6. doi:10.1073/pnas.73.11.3852

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Jeck WR, Sorrentino JA, Wang K, Slevin MK, Burd CE, Liu J, et al. Circular RNAs are abundant, conserved, and associated with ALU repeats. RNA (2013) 19:141–57. doi:10.1261/rna.035667.112

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Hansen TB, Jensen TI, Clausen BH, Bramsen JB, Finsen B, Damgaard CK, et al. Natural RNA circles function as efficient microRNA sponges. Nature (2013) 495:384–8. doi:10.1038/nature11993

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Zheng Q, Bao C, Guo W, Li S, Chen J, Chen B, et al. Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs. Nat Commun (2016) 7:11215. doi:10.1038/ncomms11215

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Kulcheski FR, Christoff AP, Margis R. Circular RNAs are miRNA sponges and can be used as a new class of biomarker. J Biotechnol (2016) 238:42–51. doi:10.1016/j.jbiotec.2016.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Yang Y, Fan X, Mao M, Song X, Wu P, Zhang Y, et al. Extensive translation of circular RNAs driven by N6-methyladenosine. Cell Res (2017) 27:626–41. doi:10.1038/cr.2017.31

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Pamudurti NR, Bartok O, Jens M, Ashwal-Fluss R, Stottmeister C, Ruhe L, et al. Translation of CircRNAs. Mol Cell (2017) 66:9–21.e7. doi:10.1016/j.molcel.2017.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Legnini I, Di Timoteo G, Rossi F, Morlando M, Briganti F, Sthandier O, et al. Circ-ZNF609 is a circular RNA that can be translated and functions in myogenesis. Mol Cell (2017) 66:22–37.e9. doi:10.1016/j.molcel.2017.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Yang Y, Gao X, Zhang M, Yan S, Sun C, Xiao F, et al. Novel role of FBXW7 circular RNA in repressing glioma tumorigenesis. J Natl Cancer Inst (2017) 110(3). doi:10.1093/jnci/djx166

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Du WW, Yang W, Liu E, Yang Z, Dhaliwal P, Yang BB. Foxo3 circular RNA retards cell cycle progression via forming ternary complexes with p21 and CDK2. Nucleic Acids Res (2016) 44:2846–58. doi:10.1093/nar/gkw027

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Abdelmohsen K, Panda AC, Munk R, Grammatikakis I, Dudekula DB, De S, et al. Identification of HuR target circular RNAs uncovers suppression of PABPN1 translation by CircPABPN1. RNA Biol (2017) 14:361–9. doi:10.1080/15476286.2017.1279788

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Holdt LM, Stahringer A, Sass K, Pichler G, Kulak NA, Wilfert W, et al. Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans. Nat Commun (2016) 7:12429. doi:10.1038/ncomms12429

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Du WW, Fang L, Yang W, Wu N, Awan FM, Yang Z, et al. Induction of tumor apoptosis through a circular RNA enhancing Foxo3 activity. Cell Death Differ (2017) 24:357–70. doi:10.1038/cdd.2016.133

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Li Z, Huang C, Bao C, Chen L, Lin M, Wang X, et al. Exon-intron circular RNAs regulate transcription in the nucleus. Nat Struct Mol Biol (2015) 22:256–64. doi:10.1038/nsmb.2959

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Lu D, Xu AD. Mini review: circular RNAs as potential clinical biomarkers for disorders in the central nervous system. Front Genet (2016) 7:53. doi:10.3389/fgene.2016.00053

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rybak-Wolf A, Stottmeister C, Glazar P, Jens M, Pino N, Giusti S, et al. Circular RNAs in the mammalian brain are highly abundant, conserved, and dynamically expressed. Mol Cell (2015) 58:870–85. doi:10.1016/j.molcel.2015.03.027

CrossRef Full Text | Google Scholar

21. Wang F, Nazarali AJ, Ji S. Circular RNAs as potential biomarkers for cancer diagnosis and therapy. Am J Cancer Res (2016) 6:1167–76.

PubMed Abstract | Google Scholar

22. Li J, Yang J, Zhou P, Le Y, Zhou C, Wang S, et al. Circular RNAs in cancer: novel insights into origins, properties, functions and implications. Am J Cancer Res (2015) 5:472–80.

PubMed Abstract | Google Scholar

23. Anastasiadou E, Jacob LS, Slack FJ. Non-coding RNA networks in cancer. Nat Rev Cancer (2018) 18(1):5–18. doi:10.1038/nrc.2017.99

CrossRef Full Text | Google Scholar

24. Li LJ, Huang Q, Pan HF, Ye DQ. Circular RNAs and systemic lupus erythematosus. Exp Cell Res (2016) 346:248–54. doi:10.1016/j.yexcr.2016.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Cardamone G, Paraboschi EM, Rimoldi V, Duga S, Solda G, Asselta R. The characterization of GSDMB splicing and backsplicing profiles identifies novel isoforms and a circular RNA that are dysregulated in multiple sclerosis. Int J Mol Sci (2017) 18(3):E576. doi:10.3390/ijms18030576

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Starnes CO. Coley’s toxins in perspective. Nature (1992) 357:11–2. doi:10.1038/357011a0

CrossRef Full Text | Google Scholar

27. Alatrash G, Jakher H, Stafford PD, Mittendorf EA. Cancer immunotherapies, their safety and toxicity. Expert Opin Drug Saf (2013) 12:631–45. doi:10.1517/14740338.2013.795944

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Anestakis D, Petanidis S, Kalyvas S, Nday CM, Tsave O, Kioseoglou E, et al. Mechanisms and applications of interleukins in cancer immunotherapy. Int J Mol Sci (2015) 16:1691–710. doi:10.3390/ijms16011691

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Jasinski-Bergner S, Mandelboim O, Seliger B. The role of microRNAs in the control of innate immune response in cancer. J Natl Cancer Inst (2014) 106(10):dju257. doi:10.1093/jnci/dju257

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Sehouli J, Loddenkemper C, Cornu T, Schwachula T, Hoffmüller U, Grützkau A, et al. Epigenetic quantification of tumor-infiltrating T-lymphocytes. Epigenetics (2014) 6:236–46. doi:10.4161/epi.6.2.13755

CrossRef Full Text | Google Scholar

31. Peng D, Kryczek I, Nagarsheth N, Zhao L, Wei S, Wang W, et al. Epigenetic silencing of TH1-type chemokines shapes tumour immunity and immunotherapy. Nature (2015) 527:249–53. doi:10.1038/nature15520

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Nagarsheth N, Peng D, Kryczek I, Wu K, Li W, Zhao E, et al. PRC2 epigenetically silences Th1-type chemokines to suppress effector T-cell trafficking in colon cancer. Cancer Res (2016) 76:275–82. doi:10.1158/0008-5472.CAN-15-1938

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Slavik JM, Hutchcroft JE, Bierer BE. CD28/CTLA-4 and CD80/CD86 families: signaling and function. Immunol Res (1999) 19:1–24. doi:10.1007/BF02786473

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Freeman GJ, Borriello F, Hodes RJ, Reiser H, Hathcock KS, Laszlo G, et al. Uncovering of functional alternative CTLA-4 counter-receptor in B7-deficient mice. Science (1993) 262:907–9. doi:10.1126/science.7694362

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Freeman GJ, Gribben JG, Boussiotis VA, Ng JW, Restivo VA Jr, Lombard LA, et al. Cloning of B7-2: a CTLA-4 counter-receptor that costimulates human T cell proliferation. Science (1993) 262:909–11. doi:10.1126/science.7694363

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Boussiotis VA, Chatterjee P, Li L. Biochemical signaling of PD-1 on T cells and its functional implications. Cancer J (2014) 20:265–71. doi:10.1097/PPO.0000000000000059

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Chang CH, Qiu J, O’Sullivan D, Buck MD, Noguchi T, Curtis JD, et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell (2015) 162:1229–41. doi:10.1016/j.cell.2015.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kroesen BJ, Teteloshvili N, Smigielska-Czepiel K, Brouwer E, Boots AM, van den Berg A, et al. Immuno-miRs: critical regulators of T-cell development, function and ageing. Immunology (2015) 144:1–10. doi:10.1111/imm.12367

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Zhang Y, Yang P, Wang XF. Microenvironmental regulation of cancer metastasis by miRNAs. Trends Cell Biol (2014) 24:153–60. doi:10.1016/j.tcb.2013.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Yang J, Liu R, Deng Y, Qian J, Lu Z, Wang Y, et al. MiR-15a/16 deficiency enhances anti-tumor immunity of glioma-infiltrating CD8+ T cells through targeting mTOR. Int J Cancer (2017) 141(10):2082–92. doi:10.1002/ijc.30912

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Sakurai E, Maesawa C, Shibazaki M, Yasuhira S, Oikawa H, Sato M, et al. Downregulation of microRNA-211 is involved in expression of preferentially expressed antigen of melanoma in melanoma cells. Int J Oncol (2011) 39:665–72. doi:10.3892/ijo.2011.1084

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Xie J, Liu M, Li Y, Nie Y, Mi Q, Zhao S. Ovarian tumor-associated microRNA-20a decreases natural killer cell cytotoxicity by downregulating MICA/B expression. Cell Mol Immunol (2014) 11:495–502. doi:10.1038/cmi.2014.30

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Xiang Y, Eyers F, Herbert C, Tay HL, Foster PS, Yang M. MicroRNA-487b is a negative regulator of macrophage activation by targeting IL-33 production. J Immunol (2016) 196:3421–8. doi:10.4049/jimmunol.1502081

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Wu Y, Heinrichs J, Bastian D, Fu J, Nguyen H, Schutt S, et al. MicroRNA-17-92 controls T-cell responses in graft-versus-host disease and leukemia relapse in mice. Blood (2015) 126:1314–23. doi:10.1182/blood-2015-02-627356

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Ye SB, Li ZL, Luo DH, Huang BJ, Chen YS, Zhang XS, et al. Tumor-derived exosomes promote tumor progression and T-cell dysfunction through the regulation of enriched exosomal microRNAs in human nasopharyngeal carcinoma. Oncotarget (2014) 5:5439–52. doi:10.18632/oncotarget.2118

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Yin Y, Cai X, Chen X, Liang H, Zhang Y, Li J, et al. Tumor-secreted miR-214 induces regulatory T cells: a major link between immune evasion and tumor growth. Cell Res (2014) 24:1164–80. doi:10.1038/cr.2014.121

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Guttman M, Russell P, Ingolia NT, Weissman JS, Lander ES. Ribosome profiling provides evidence that large noncoding RNAs do not encode proteins. Cell (2013) 154:240–51. doi:10.1016/j.cell.2013.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Fitzgerald KA, Caffrey DR. Long noncoding RNAs in innate and adaptive immunity. Curr Opin Immunol (2014) 26:140–6. doi:10.1016/j.coi.2013.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Zhu J, Fu H, Wu Y, Zheng X. Function of lncRNAs and approaches to lncRNA-protein interactions. Sci China Life Sci (2013) 56:876–85. doi:10.1007/s11427-013-4553-6

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Pagani M, Rossetti G, Panzeri I, de Candia P, Bonnal RJ, Rossi RL, et al. Role of microRNAs and long-non-coding RNAs in CD4(+) T-cell differentiation. Immunol Rev (2013) 253:82–96. doi:10.1111/imr.12055

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Carpenter S, Aiello D, Atianand MK, Ricci EP, Gandhi P, Hall LL, et al. A long noncoding RNA mediates both activation and repression of immune response genes. Science (2013) 341:789–92. doi:10.1126/science.1240925

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Liang WC, Fu WM, Wong CW, Wang Y, Wang WM, Hu GX, et al. The lncRNA H19 promotes epithelial to mesenchymal transition by functioning as miRNA sponges in colorectal cancer. Oncotarget (2015) 6:22513–25. doi:10.18632/oncotarget.4154

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Spurlock CF III, Tossberg JT, Guo Y, Collier SP, Crooke PS III, Aune TM. Expression and functions of long noncoding RNAs during human T helper cell differentiation. Nat Commun (2015) 6:6932. doi:10.1038/ncomms7932

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Hu G, Tang Q, Sharma S, Yu F, Escobar TM, Muljo SA, et al. Expression and regulation of intergenic long noncoding RNAs during T cell development and differentiation. Nat Immunol (2013) 14:1190–8. doi:10.1038/ni.2712

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Wang Y, Zhong H, Xie X, Chen CY, Huang D, Shen L, et al. Long noncoding RNA derived from CD244 signaling epigenetically controls CD8+ T-cell immune responses in tuberculosis infection. Proc Natl Acad Sci U S A (2015) 112:E3883–92. doi:10.1073/pnas.1501662112

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Huang W, Thomas B, Flynn RA, Gavzy SJ, Wu L, Kim SV, et al. DDX5 and its associated lncRNA Rmrp modulate TH17 cell effector functions. Nature (2015) 528:517–22. doi:10.1038/nature16193

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Xia M, Liu J, Liu S, Chen K, Lin H, Jiang M, et al. Ash1l and lnc-Smad3 coordinate Smad3 locus accessibility to modulate iTreg polarization and T cell autoimmunity. Nat Commun (2017) 8:15818. doi:10.1038/ncomms15818

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Brazao TF, Johnson JS, Muller J, Heger A, Ponting CP, Tybulewicz VL. Long noncoding RNAs in B-cell development and activation. Blood (2016) 128:e10–9. doi:10.1182/blood-2015-11-680843

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Trimarchi T, Bilal E, Ntziachristos P, Fabbri G, Dalla-Favera R, Tsirigos A, et al. Genome-wide mapping and characterization of Notch-regulated long noncoding RNAs in acute leukemia. Cell (2014) 158:593–606. doi:10.1016/j.cell.2014.05.049

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Wang Y, Wu P, Lin R, Rong L, Xue Y, Fang Y. LncRNA NALT interaction with NOTCH1 promoted cell proliferation in pediatric T cell acute lymphoblastic leukemia. Sci Rep (2015) 5:13749. doi:10.1038/srep13749

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Yang Y. Cancer immunotherapy: harnessing the immune system to battle cancer. J Clin Invest (2015) 125:3335–7. doi:10.1172/JCI83871

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Fukuhara H, Ino Y, Todo T. Oncolytic virus therapy: a new era of cancer treatment at dawn. Cancer Sci (2016) 107:1373–9. doi:10.1111/cas.13027

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kalos M, June CH. Adoptive T cell transfer for cancer immunotherapy in the era of synthetic biology. Immunity (2013) 39:49–60. doi:10.1016/j.immuni.2013.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Liu E, Tong Y, Dotti G, Shaim H, Savoldo B, Mukherjee M, et al. Cord blood NK cells engineered to express IL-15 and a CD19-targeted CAR show long-term persistence and potent antitumor activity. Leukemia (2017). doi:10.1038/leu.2017.226

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Xia AL, Wang XC, Lu YJ, Lu XJ, Sun B. Chimeric-antigen receptor T (CAR-T) cell therapy for solid tumors: challenges and opportunities. Oncotarget (2017) 8:90521–31. doi:10.18632/oncotarget.19361

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Luo Y. Conservation and evolution of microRNAs in animals. Scientia Sinica Vitae (2012) 42:96. doi:10.1360/052011-594

CrossRef Full Text | Google Scholar

67. Mahoney KM, Freeman GJ, McDermott DF. The next immune-checkpoint inhibitors: PD-1/PD-L1 blockade in melanoma. Clin Ther (2015) 37:764–82. doi:10.1016/j.clinthera.2015.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Sharon E, Streicher H, Goncalves P, Chen HX. Immune checkpoint inhibitors in clinical trials. Chin J Cancer (2014) 33:434–44. doi:10.5732/cjc.014.10122

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Merck Provides Update on KEYNOTE-061, a Phase 3 Study of KEYTRUDA® (pembrolizumab) in Previously Treated Patients with Gastric or Gastroesophageal Junction Adenocarcinoma. (2017). Available from: http://www.mrknewsroom.com/news-release/corporate-news/merck-provides-update-keynote-061-phase-3-study-keytruda-pembrolizumab-p

Google Scholar

70. Carbone DP, Reck M, Paz-Ares L, Creelan B, Horn L, Steins M, et al. First-line nivolumab in stage IV or recurrent non-small-cell lung cancer. N Engl J Med (2017) 376:2415–26. doi:10.1056/NEJMoa1613493

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Merck Provides Further Update on Tree Multiple Myeloma Studies Evaluating KEYTRUDA? (pembrolizumab) in Combination with Pomalidomide or Lenalidomide. (2017). Available from: http://www.mrknewsroom.com/news-release/prescription-medicine-news/merck-provides-further-update-three-multiplemyeloma-studies

Google Scholar

72. Azoury SC, Straughan DM, Shukla V. Immune checkpoint inhibitors for cancer therapy: clinical efficacy and safety. Curr Cancer Drug Targets (2015) 15:452–62. doi:10.2174/156800961506150805145120

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Wei J, Nduom EK, Kong LY, Hashimoto Y, Xu S, Gabrusiewicz K, et al. MiR-138 exerts anti-glioma efficacy by targeting immune checkpoints. Neuro Oncol (2016) 18:639–48. doi:10.1093/neuonc/nov292

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Cortez MA, Ivan C, Valdecanas D, Wang X, Peltier HJ, Ye Y, et al. PDL1 regulation by p53 via miR-34. J Natl Cancer Inst (2016) 108(1):djv303. doi:10.1093/jnci/djv303

CrossRef Full Text | Google Scholar

75. Butterfield LH. Cancer vaccines. BMJ (2015) 350:h988. doi:10.1136/bmj.h988

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Cintolo JA, Datta J, Mathew SJ, Czerniecki BJ. Dendritic cell-based vaccines: barriers and opportunities. Future Oncol (2012) 8:1273–99. doi:10.2217/fon.12.125

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Kaufman HL, Kohlhapp FJ, Zloza A. Oncolytic viruses: a new class of immunotherapy drugs. Nat Rev Drug Discov (2015) 14:642–62. doi:10.1038/nrd4663

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Dharmadhikari N, Mehnert JM, Kaufman HL. Oncolytic virus immunotherapy for melanoma. Curr Treat Options Oncol (2015) 16:326. doi:10.1007/s11864-014-0326-0

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Ruiz AJ, Russell SJ. MicroRNAs and oncolytic viruses. Curr Opin Virol (2015) 13:40–8. doi:10.1016/j.coviro.2015.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Serganova I, Moroz E, Cohen I, Moroz M, Mane M, Zurita J, et al. Enhancement of PSMA-directed CAR adoptive immunotherapy by PD-1/PD-L1 blockade. Mol Ther Oncolytics (2017) 4:41–54. doi:10.1016/j.omto.2016.11.005

CrossRef Full Text | Google Scholar

81. Soares KC, Rucki AA, Wu AA, Olino K, Xiao Q, Chai Y, et al. PD-1/PD-L1 blockade together with vaccine therapy facilitates effector T-cell infiltration into pancreatic tumors. J Immunother (2015) 38:1–11. doi:10.1097/CJI.0000000000000062

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Liu Z, Ravindranathan R, Kalinski P, Guo ZS, Bartlett DL. Rational combination of oncolytic vaccinia virus and PD-L1 blockade works synergistically to enhance therapeutic efficacy. Nat Commun (2017) 8:14754. doi:10.1038/ncomms14754

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Meng S, Zhou H, Feng Z, Xu Z, Tang Y, Li P, et al. CircRNA: functions and properties of a novel potential biomarker for cancer. Mol Cancer (2017) 16:94. doi:10.1186/s12943-017-0663-2

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Hsiao KY, Sun HS, Tsai SJ. Circular RNA – new member of noncoding RNA with novel functions. Exp Biol Med (Maywood) (2017) 242:1136–41. doi:10.1177/1535370217708978

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Liu J, Liu T, Wang X, He A. Circles reshaping the RNA world: from waste to treasure. Mol Cancer (2017) 16:58. doi:10.1186/s12943-017-0630-y

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Tang W, Ji M, He G, Yang L, Niu Z, Jian M, et al. Silencing CDR1as inhibits colorectal cancer progression through regulating microRNA-7. Onco Targets Ther (2017) 10:2045–56. doi:10.2147/OTT.S131597

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Xu L, Zhang M, Zheng X, Yi P, Lan C, Xu M. The circular RNA ciRS-7 (Cdr1as) acts as a risk factor of hepatic microvascular invasion in hepatocellular carcinoma. J Cancer Res Clin Oncol (2017) 143:17–27. doi:10.1007/s00432-016-2256-7

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Xu H, Guo S, Li W, Yu P. The circular RNA Cdr1as, via miR-7 and its targets, regulates insulin transcription and secretion in islet cells. Sci Rep (2015) 5:12453. doi:10.1038/srep12453

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Han D, Li J, Wang H, Su X, Hou J, Gu Y, et al. Circular RNA circMTO1 acts as the sponge of microRNA-9 to suppress hepatocellular carcinoma progression. Hepatology (2017) 66:1151–64. doi:10.1002/hep.29270

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Peng L, Chen G, Zhu Z, Shen Z, Du C, Zang R, et al. Circular RNA ZNF609 functions as a competitive endogenous RNA to regulate AKT3 expression by sponging miR-150-5p in Hirschsprung’s disease. Oncotarget (2017) 8:808–18. doi:10.18632/oncotarget.13656

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Yu CY, Li TC, Wu YY, Yeh CH, Chiang W, Chuang CY, et al. The circular RNA circBIRC6 participates in the molecular circuitry controlling human pluripotency. Nat Commun (2017) 8:1149. doi:10.1038/s41467-017-01216-w

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Zeng Y, Du WW, Wu Y, Yang Z, Awan FM, Li X, et al. A circular RNA binds to and activates AKT phosphorylation and nuclear localization reducing apoptosis and enhancing cardiac repair. Theranostics (2017) 7:3842–55. doi:10.7150/thno.19764

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Zhang Y, Zhang XO, Chen T, Xiang JF, Yin QF, Xing YH, et al. Circular intronic long noncoding RNAs. Mol Cell (2013) 51:792–806. doi:10.1016/j.molcel.2013.08.017

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Yang ZG, Awan FM, Du WW, Zeng Y, Lyu J, Wu , et al. The circular RNA interacts with STAT3, increasing its nuclear translocation and wound repair by modulating Dnmt3a and miR-17 function. Mol Ther (2017) 25(9):2062–74. doi:10.1016/j.ymthe.2017.05.022

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Yang Q, Du WW, Wu N, Yang W, Awan FM, Fang L, et al. A circular RNA promotes tumorigenesis by inducing c-myc nuclear translocation. Cell Death Differ (2017) 24:1609–20. doi:10.1038/cdd.2017.86

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Ng WL, Marinov GK, Liau ES, Lam YL, Lim YY, Ea CK. Inducible RasGEF1B circular RNA is a positive regulator of ICAM-1 in the TLR4/LPS pathway. RNA Biol (2016) 13:861–71. doi:10.1080/15476286.2016.1207036

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Conn VM, Hugouvieux V, Nayak A, Conos SA, Capovilla G, Cildir G, et al. A circRNA from SEPALLATA3 regulates splicing of its cognate mRNA through R-loop formation. Nat Plants (2017) 3:17053. doi:10.1038/nplants.2017.53

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Li P, Chen S, Chen H, Mo X, Li T, Shao Y, et al. Using circular RNA as a novel type of biomarker in the screening of gastric cancer. Clin Chim Acta (2015) 444:132–6. doi:10.1016/j.cca.2015.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Xuan L, Qu L, Zhou H, Wang P, Yu H, Wu T, et al. Circular RNA: a novel biomarker for progressive laryngeal cancer. Am J Transl Res (2016) 8:932–9.

PubMed Abstract | Google Scholar

100. Zhang XL, Xu LL, Wang F. Hsa_circ_0020397 regulates colorectal cancer cell viability, apoptosis and invasion by promoting the expression of the miR-138 targets TERT and PD-L1. Cell Biol Int (2017) 41:1056–64. doi:10.1002/cbin.10826

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Huang Y, Yu P, Li W, Ren G, Roberts AI, Cao W, et al. p53 regulates mesenchymal stem cell-mediated tumor suppression in a tumor microenvironment through immune modulation. Oncogene (2014) 33:3830–8. doi:10.1038/onc.2013.355

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Cadena C, Hur S. Antiviral immunity and circular RNA: no end in sight. Mol Cell (2017) 67:163–4. doi:10.1016/j.molcel.2017.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Guarnerio J, Bezzi M, Jeong Jong C, Paffenholz Stella V, Berry K, Naldini Matteo M, et al. Oncogenic role of fusion-circRNAs derived from cancer-associated chromosomal translocations. Cell (2016) 165(2):289–302. doi:10.1016/j.cell.2016.03.020

CrossRef Full Text | Google Scholar

104. Dou Y, Cha DJ, Franklin JL, Higginbotham JN, Jeppesen DK, Weaver AM, et al. Circular RNAs are down-regulated in KRAS mutant colon cancer cells and can be transferred to exosomes. Sci Rep (2016) 6:37982. doi:10.1038/srep37982

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Li P, Liu C, Yu Z, Wu M. New insights into regulatory T cells: exosome- and non-coding RNA-mediated regulation of homeostasis and resident Treg cells. Front Immunol (2016) 7:574. doi:10.3389/fimmu.2016.00574

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Lasda E, Parker R. Circular RNAs co-precipitate with extracellular vesicles: a possible mechanism for circRNA clearance. PLoS One (2016) 11:e0148407. doi:10.1371/journal.pone.0148407

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Li X, Liu CX, Xue W, Zhang Y, Jiang S, Yin QF, et al. Coordinated circRNA biogenesis and function with NF90/NF110 in viral infection. Mol Cell (2017) 67:214–227e217. doi:10.1016/j.molcel.2017.05.023

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Milane L, Singh A, Mattheolabakis G, Suresh M, Amiji MM. Exosome mediated communication within the tumor microenvironment. J Control Release (2015) 219:278–94. doi:10.1016/j.jconrel.2015.06.029

CrossRef Full Text | Google Scholar

109. Nabet BY, Qiu Y, Shabason JE, Wu TJ, Yoon T, Kim BC, et al. Exosome RNA unshielding couples stromal activation to pattern recognition receptor signaling in cancer. Cell (2017) 170:352–366.e3. doi:10.1016/j.cell.2017.06.031

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Chen YG, Kim MV, Chen X, Batista PJ, Aoyama S, Wilusz JE, et al. Sensing self and foreign circular RNAs by intron identity. Mol Cell (2017) 67:228–238.e5. doi:10.1016/j.molcel.2017.05.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: circular RNAs, non-coding RNAs, tumor antigen, antitumor immunity, tumor immunotherapy

Citation: Xu Z, Li P, Fan L and Wu M (2018) The Potential Role of circRNA in Tumor Immunity Regulation and Immunotherapy. Front. Immunol. 9:9. doi: 10.3389/fimmu.2018.00009

Received: 23 August 2017; Accepted: 04 January 2018;
Published: 22 January 2018

Edited by:

Khashayarsha Khazaie, Mayo Clinic College of Medicine & Science, United States

Reviewed by:

Alessandro Poggi, Ospedale Policlinico San Martino, Italy
Subbaya Subramanian, University of Minnesota, United States

Copyright: © 2018 Xu, Li, Fan and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Minghua Wu, d3VtaW5naHVhNTU0JiN4MDAwNDA7YWxpeXVuLmNvbQ==

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