Advanced pharmaceutical bulletin. 15(3):533-551.
doi: 10.34172/apb.025.45330
Review Article
Therapeutic Potential of Circular RNAs as Targets for Cancer Treatment
Milad Asadi Writing – original draft, Writing – review & editing, 1 
Sanam Sadeghi-Mohammadi Methodology, Writing – original draft, 2
Najibeh Shekari Writing – original draft, 3
Venus Zafari Writing – original draft, 1
Zahra Soleimani Methodology, Writing – original draft, 4
Ufuk Mert Supervision, Writing – original draft, 5
Maryam Seyyedi Supervision, Writing – original draft, 6
Ayse Caner Project administration, Supervision, Writing – original draft, Writing – review & editing, 1, 7, * 
Habib Zarredar Project administration, Writing – original draft, Writing – review & editing, 6, * 
Author information:
1Department of Basic Oncology, Institute of Health Sciences, Ege University, Izmir, Turkey
2ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
3Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
4Rahat Breath and Sleep Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
5Atatürk Health Care Vocational School, Ege University, Izmir, Turkey
6Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
7Department of Parasitology, Faculty of Medicine, Ege University, Izmir, Turkey
Abstract
Circular RNAs (circRNAs) are a novel class of non-coding RNAs primarily generated through a back-splicing processes. These molecules exhibit extensive expression across various tissues, indicating their significant role in numerous biological processes, particularly in complex diseases such as cancer. Based on their origin, structure, and biogenesis, circular RNAs are categorized into exonic circRNAs (ecirc-RNAs), circular intronic RNAs (ci-RNAs), or exonic-intronic circRNAs (EIci-RNAs). Due to their covalently closed-loop configuration, it is necessary to develop specialized techniques to study them. CircRNAs are known to function as protein and microRNA sponges, regulate transcription, interact with RNA-binding proteins (RBPs), and, in rare cases, serve as templates for translation. In this review, we provide an overview of circRNA features, biogenesis, and functions. In addition, we summarize molecular methods for studying them and explain their significant roles in malignancies.
Keywords: Circular RNA, Biogenesis, Diagnosis, Prognosis, Cancer
Copyright and License Information
© 2025 The Author (s).
This is an Open Access article distributed under the terms of the Creative Commons Attribution (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.
Funding Statement
The Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran, financially supported the current study.
Introduction
Non-coding RNAs (ncRNAs) constitute the predominant class of transcribed RNAs in eukaryotic cells, and more than 90 % of the entire RNA expression is related to these types of RNAs. These molecules are broadly classified based on length into two major categories: small ncRNAs (sncRNAs, < 200 nt) and long ncRNAs (lncRNAs, > 200 nt).1,2 MicroRNAs (miRNAs), small nucleolar RNAs (snoRNAs), small nuclear RNAs (snRNAs), PIWI-interacting RNA (piRNAs), and small interfering RNAs (siRNAs),3 are the prominent members of sncRNAs.4-6 Conversely, lncRNAs include subtypes such as long intergenic ncRNAs, intronic ncRNAs, macroRNAs, sense ncRNAs, antisense RNAs, and circular RNAs (circRNAs).7-9 In eukaryotic systems, mRNA precursors (pre-mRNAs) commonly contain intronic sequences that are removed via canonical splicing to form mature, linear transcripts.10 However, under certain conditions, these processes can make an entirely different kind of RNA from the same precursor RNA. Initially described approximately 30 years ago, it was discovered that if during non-canonical splicing, specifically back-splicing, an upstream splice acceptor joins a downstream splice donor, circRNAs generating.11,12
This kind of ncRNA contains covalently locked non-stop loop constructions (D-loop) without terminal 5’ caps and 3’ poly-A tails.12,13 It is theoretically possible for all internal exons of genes, excluding the first and last, to give rise to circRNAs. Although back-splicing is considered a relatively rare event, there are more than 200,000 exons in the human genome, and in contrast to the low occurrence of back-splicing, 1,000 unique circRNAs can be found in any given cell type.14 Despite their generally low expression levels, circRNAs exhibit resistance to exonuclease-mediated degradation due to their circular structure and have been implicated in several regulatory roles.15 These include modulation of parental gene expression, alternative splicing or translation, acting as miRNA or RNA-binding protein (RBP) sponges, translation into peptides/ proteins (only a few circRNAs), and the generation of some pseudogenes.16
An increasing number of studies have revealed the aberrant expression of circRNAs in various pathological conditions, including cancers, neurological disorders, and cardiovascular diseases. In oncology, circRNAs can act as either oncogenes or tumor suppressors, depending on their targets and interactions.17 For instance, circHIPK3 promotes colorectal cancer progression by sponging multiple tumor-suppressive miRNAs,18 while circMTO1 suppresses hepatocellular carcinoma (HCC) via inhibition of the oncogenic miR-9. The stability and specific expression patterns of circRNAs in different tissues make them promising candidates for non-invasive diagnostic and prognostic biomarkers, as well as therapeutic targets.19 Accordingly, continued research into the biogenesis, functions, and therapeutic potential of circRNAs is anticipated to yield new insights for scientific exploration and medical innovation. In this review, we summarize the expanding findings on circRNAs and provide an up-to-date account of their biogenesis, regulatory mechanisms, and cellular functions in carcinogenesis.
Biogenesis and functional roles of circRNAs
Biogenesis of circRNAs
In eukaryotic cells, alternative splicing converts pre-RNA into linear mRNA.16 On the other hand, circRNAs are formed through aberrant RNA splicing, specifically back-splicing, which is different from canonical splicing. Approximately 80% of circRNAs are derived from exons, but they can also originate from other parts of the genome, like introns, non-coding regions, antisense strands, and untranslated regions (UTRs).2 Back-splicing generates numerous different circRNAs from a single gene locus, contributing to the complexity of circRNA formation.20 Based on sequence arrangement, circRNAs are classified as exonic circRNAs (ecircRNAs), which contain exon sequences; circular intronic RNAs (ciRNAs), which originate from introns; exonic-intronic circRNAs (EIciRNAs), containing both exonic and intronic sequences; and tRNA intronic circRNAs (tricRNAs), which are formed from spliced tRNA introns.21-23 Although the majority of circRNAs reside in the cytoplasm, EIciRNAs mostly remain in the nucleus.24,25
RNA-binding proteins (RBPs) play a crucial role in the regulation of circRNAs synthesis. RBPs like Quaking (QKI), Muscleblind (MBL/MBNL1), and Fused-in Sarcoma (FUS) can bind to specific motifs on the flanking introns of immature linear RNA.26-28 These RBPs bring the flanking introns together to facilitate the generation of circRNAs.29 Efficient circRNA production requires certain RNA sequence features are needed. For example, exons that can back-splice are often significantly longer up to three times regular exons which is clear in single-exon circRNAs.30 Also, the presence of reverse complementary sequences in flanking intronic regions, like Alu elements, enhances intron pairing and exon circularization. These regions can be either longer or shorter than typical introns.29,31 Inverted tandem repeats in introns also support circRNA formation, with even short repeats around 35 base pairs being sufficient.32 However, these repeats can sometimes make intron base pairing too stable, which makes it less likely for circRNA formation.33,34 As circRNAs mature, introns might not always be removed and can stay between the circularized exons, resulting in a subtype of circRNA known as exonic-intronic circRNAs (EIciRNAs).35
Despite ongoing research, the exact mechanisms of circRNA biogenesis remain unclear. Three models have been proposed: lariat-driven circularization (exon skipping),36 intron pairing-driven circularization,37 and re-splicing-driven circularization,23 each contributing to our understanding of how these unique RNA molecules are formed. Figure 1a schematically illustrates circRNA biogenesis.One common mechanism is lariat-driven circularization, also known as exon-skipping, where partial folding of pre-mRNA brings the upstream donor site (5’ splice site) and the downstream acceptor site (3’ splice site) into proximity. This allows the donor site to attack the receptor site, resulting in the formation of a lariat structure that is subsequently back-spliced to create a new circRNA. This mechanism is notably stimulated by factors such as tumor necrosis factor (TNF)-α and transforming growth factor (TGF)-β in endothelial cells, producing circRNAs alongside linear mRNA which consists of the remaining exons.36,38
Figure 1.
Biogenesis of circular RNAs and new categories of circular RNAs in oncology. (a) Canonical splicing and Primary methods of back-splicing: intron-pairing promoted by inverted complementary sequences and RNA-binding proteins; lariat creation. (b) Production of rt-circRNAs from read-through transcripts. Generation of f-circRNAs by chromosomal fusions
Figure 1.
Biogenesis of circular RNAs and new categories of circular RNAs in oncology. (a) Canonical splicing and Primary methods of back-splicing: intron-pairing promoted by inverted complementary sequences and RNA-binding proteins; lariat creation. (b) Production of rt-circRNAs from read-through transcripts. Generation of f-circRNAs by chromosomal fusions
Another key mechanism is intron pairing-driven circularization, which relies on reverse complementary sequences, Alu elements, and the flanking introns. These sequences make possible direct back-splicing. High compatibility between these complementary sequences enhances the circRNA production. This process generates exonic circular RNAs (ecircRNAs) by removing intronic sequences. It also produces exonic-intronic circRNAs (EIciRNAs) that retain some intronic sequences.37,38 A third, lesser-known method is resplicing-driven circularization. Here, a mature linear mRNA undergoes back-splicing to produce circRNAs with one or more exons. The concentration of circRNAs within cells is tightly regulated, with their breakdown being crucial for maintaining cellular function. This degradation process involves the partial activation of endonucleases such as Argonaute 2 (Ago-2), Angiogenin, CPSF73, and RNase L, which create access points for exonucleases to degrade circRNAs completely. Each of these pathways underscores the complex and dynamic nature of circRNA biogenesis and its regulation in cellular biology.23,38,39
Cancer may facilitate the development of novel categories of circRNAs, including read-through circRNAs (rt-circRNAs) and fusion circRNAs (f-circRNAs) (Figure 1b). The rt-circRNAs are derived from read-through transcripts. Read-through transcription occurs when transcription extends over an intergenic region beyond the termination signal, resulting in the synthesis of circRNAs from two neighboring genes. Gene pairs that produce rt-circRNAs are shorter than randomly selected neighboring genes pairs. rt-circRNAs share properties with conventional circRNAs, such as elongated introns and an abundance of repetitive motifs. Read-through circularization may be linked to cancer, characterized by widespread abnormal gene expression mediated by transcription read-through. Of the 460 cancer driver genes, 39 were identified to generate 67 rt-circRNAs, with 31 of them exhibiting cancer-specific expression. Nonetheless, their functional importance in cancer requires further confirmation.40 Cancer-associated chromosomal translocations may result in the generation of fusion-circular RNAs (f-circRNAs). Aberrant chromosomal rearrangements in malignancies may lead to the juxtaposition of two otherwise separated genes, bringing complementary intronic regions into proximity to facilitate reverse splicing. In 2016, Guarnerio et al initially showed that f-circRNAs originate from PML/RARa fusion mRNAs in acute promyelocytic leukemia and that they contribute to carcinogenesis independently of their linear transcripts and protein equivalents, as well as being associated with resistance to anti-cancer therapy. Subsequent investigations have shown that f-circRNAs arise from specific chromosomal translocations, including BCR/ABL1, EML4/ALK, and SLC34A2/ROS1 fusions, seen in both hematological malignancies and solid tumors.41
Mechanisms of action
The ability of circRNAs to control gene expression through diverse mechanisms has led to their increasing recognition as important regulators in cancer biology.42 Their biogenesis often competes with linear mRNA formation, affecting the production of protein. Functionally, circRNAs regulate gene expression via interactions with miRNAs, RNA-binding proteins, and chromatin, and some even assist as templates for translation (Figure 2). In malignancies, their tissue-specific expression, stability, and subcellular localization contribute to their diverse roles, where they influence metastasis, tumorigenesis, and therapy resistance via tumor-suppressive or oncogenic pathways.
Figure 2.
Schematic representation of known functions of circRNAs
Figure 2.
Schematic representation of known functions of circRNAs
miRNA sponging
CircRNAs are most known for their function as miRNA sponges, which is among their most extensively studied and well-characterized functions. By containing multiple miRNA response elements (MREs), circRNAs can sequester specific miRNAs and suppress them from repressing their target mRNAs, thus controlling gene expression and protein synthesis. This competitive endogenous RNA (ceRNA) activity has an important role in several physiological and pathological processes, as well as malignancies, osteoarthritis, diabetes, and neurological diseases.43 For instance, ciRS-7 contains over 70 conserved binding sites for miR-7 and has been shown to inhibit its tumor-suppressive activity in several types of malignancy. Similarly, circHIPK3 which is abnormally expressed in cancer tissues, sponges multiple tumor-suppressive miRNAs such as miR-124, miR-193, and miR-637, thus inducing tumor cell invasion, metastasis and development.44 Other circRNAs, as well as circMTO1, circITCH, and circFOXO3, exert tumor-suppressive effects by binding oncogenic miRNAs and regulating key signaling pathways. For example, circMTO1 enhances p21 expression by sponging miR-9 in HCC,19 while circITCH and circFOXO3 target miRNAs such as miR-17, miR-214, miR-224, and miR-9 to prevent tumor development and induce apoptosis. In another study, Circular RNA circ-ABCB10 was shown to induce breast tumor proliferation and development via sponging miR-1271.45 A comparative summary of notable circRNAs, their miRNA targets, related malignancy types, and functional effects is provided in Table 1 to support and contextualize these findings.
Table 1.
CircRNAs as miRNA sponges in various cancers
|
CircRNA
|
Targeted miRNA
|
Functions
|
Cancer type
|
Ref.
|
| ciRS-7 |
miR-7 |
Myocardial infarction; Neural development; anti-oncogenic; stimulates proliferation/metastasis; osteoblastic differentiation insulin secretion |
Various (including breast, liver) |
46
|
| CircHIPK3 |
miR-124, miR-193a, miR-558 |
Stimulates proliferation/migration; prevents cancer progression; β-cell function |
Various (including liver, colorectal) |
47
|
| CircFOXO3 |
miR-138, miR-9, miR-22 |
Cell cycle progression and apoptosis; cardiovascular diseases and cancer |
Various cancers |
48
|
| CircZNF91 |
miR-23b-3p |
Mediates signal transduction between hypoxic and normoxic tumor cells to promote pancreatic cancer chemoresistance |
Pancreatic cancer |
46
|
| CircMTO1 |
miR-9 |
Prevents cancer progression |
HCC |
19
|
| CircCCDC66 |
miR-93, miR-185, miR-33b |
Stimulates cancer progression |
Various (including colorectal) |
49
|
| circIRAK3 |
miR-3607 |
Promotes migration/invasion |
Breast cancer |
50
|
| circRNA_0084043 |
miR-153-3p |
Stimulates cancer progression |
malignant melanoma |
51
|
| CircANKS1B |
miR-148a-3p, miR-152-3p |
Regulation of TGF-β1 signaling pathway |
Breast cancer |
52
|
| Hsa_circ_0008039 |
miR-432-5p |
Increases E2F3 expression |
Breast cancer |
53
|
| circRNA-000911 |
miR-499a |
Regulation of Notch1 and NF-κB signaling pathway |
Breast cancer |
54
|
| CDR1as |
miR-7 |
Prevention of cell proliferation |
Breast, hepatocellular, lung, and gastric cancers |
55,56
|
| circ-ABCB10 |
miR-1271 |
Initiation of cell proliferation |
Breast cancer |
45
|
| circ-ZKSCAN |
N/A |
Prevention of cell proliferation and metastasis |
HCC |
57
|
| circRNA-100269 |
miR-630 |
Prevention of cell proliferation |
HCC |
58
|
| hsa-circ-100338 |
miR-141-3p |
Regulator of metastases |
HCC |
59
|
| hsa_circ_001059 |
miR-30c, miR-122, miR-139-3p, miR-339, miR-1912 |
Regulator for tumor radiotherapy resistance |
Esophageal squamous cell carcinoma |
60
|
| circ-ITCH |
miR-214 |
Prevention of cell proliferation by down-regulation of c-myc, ubiquitination, and degradation of Dvl2 |
Esophageal squamous cell carcinoma, lung cancer, colorectal cancer |
61
|
| circTCF25 |
miR-107, miR-103a-3p |
Initiation of cell proliferation and metastasis |
Bladder cancer |
62
|
| hsa-circ-0043256 |
miR-1252 |
Prevention of cell proliferation |
Lung cancer |
63
|
| Circ-PAX2 |
miR-186 |
Initiation of cell proliferation |
Lung cancer |
63
|
| circEA1 |
miR-372 |
Regulator for cell differentiation and drug resistance |
Lung cancer |
64
|
| Circ-NFIX |
miR-212-3p |
Enhances tumor cell progression |
Lung cancer |
65
|
| hsa-circ-001569 |
miR-145 |
Initiation of cell proliferation and metastasis |
Colorectal cancer |
66
|
| hsa-circ-0000069 |
N/A |
Initiation of cell proliferation and metastasis |
Colorectal cancer |
67
|
| circPVT1 |
miR-125 |
Initiation of cell proliferation and metastasis |
Gastric cancer |
68
|
| circ-LARP4 |
miR-424-5p |
Regulation of tumor progression |
Gastric cancer |
69
|
| circMT01 |
miR-9 |
Regulation of tumor progression |
HCC |
19
|
| hsa_circ_000167 |
miR-181, miR-512, miR-521, miR-556, miR-663 and miR-1204 |
|
Esophageal squamous cell carcinoma |
60
|
| circHIPK3 |
miR-124 |
Regulation of tumor proliferation |
HCC |
70
|
| hsa_circ_0067934 |
miR-98 |
initiation of cell proliferation |
Esophageal squamous cell carcinoma |
71
|
Protein interaction
CircRNAs enable directly interact with RBPs, affecting several cellular processes including cancer development and progression by regulating cellular signaling networks. By harboring RBP binding sites, circRNAs function as molecular scaffolds that facilitate or inhibit protein-protein interactions, control RBPs activity, or prevent them from regulating gene expression. Through the formation of ribonucleoprotein complexes, certain circRNAs, such as ecircRNAs, stabilize these interactions and preserve the functional integrity of the related proteins, thus controlling gene regulation at multiple levels.72 For example, circ-Foxo3 controls cell cycle arrest by interacting with cyclin-dependent kinase 2 (CDK2) and the protein kinase inhibitor p21. In breast tumor, circ-Foxo3 binds to CDK2 and p21, forming a ternary complex that suppress cell cycle proliferation and tumor development.73,74 Additionally, in the context of cellular senescence, circFoxo3 can sequester proteins such as the senescence marker p16 and the transcription factor E2F1, thereby modulating pathways associated with aging and tumor suppression.48 In liver malignancy, circ-Ccnb1 interacts with HuR (ELAVL1) to stabilize CCNB1 mRNA, thus inducing oncogenic cell cycle development.75 Another example, circMbl, forms a binding interaction with the Muscleblind (MBL) protein, which is a pivotal controller of RNA splicing. During this process, circMbl specifically attracts the MBL protein, which plays a crucial role in the alternative splicing of Mbl pre-mRNA.76,77 Furthermore, the decrease of MBL, activation of innate immune dsRNA receptor (PKR) and prevention of Human Antigen R (HuR) protein from binding to Poly(A) Binding Protein Nuclear 1 (PABPN1) mRNA by circPABPN1 can be a result of circRNA activation.78,79 In liver cancer, circ-Ccnb1 sponges miR-194-3p, leading to the promotion of matrix metalloproteinase 9 (MMP-9)-mediated oncogenic effects and inducing tumor progression.80 These RBP-mediated mechanisms underscore the complexity of circRNA functions in cancer, where protein scaffolding and stabilization roles regulate key tumorigenic pathways.81
Transcriptional and translational regulation by circRNAs
In the nucleus, certain circRNAs can to control the gene expression of their host genes. Studies have demonstrated that circRNAs influence the expression of their parental genes through cis-acting mechanisms. In some cases, nuclear circRNAs interact with RNA polymerase II (RNA Pol II) at the promoter region, resulting in the generation of various isoforms of a single gene.82 EiciRNAs are the best-known group of circRNAs with transcriptional activity.83 As an example, circEIF3J and circPAIP2 regulate the Eukaryotic Translation Initiation Factor 3 Subunit J (EIF3J) and Poly(A) Binding Protein Interacting Protein 2 (PAIP2) gene transcriptions by making a complex with the U1 snRNP. This complex then interacts with RNA Pol II, which regulates the transcription of host genes.82,84-86 Circ-ZNF609 and circ-FBXW7 are other examples of transcriptional regulatory circRNAs that are respectively involved in muscular biogenesis and glioma.87,88 The binding of circRNAs to RNA Pol II can control selective splicing by regulation of alternative splice site.
During this process, different splicing sites select pre-mRNAs to produce altered mRNA isoforms. These examples illustrate the diverse roles of circRNAs and highlight their potential as therapeutic targets in cancer and other diseases.89 A new study reveals that circRNAs can compete with their host genes in post-transcriptional processes. Additionally, circRNAs possess internal ribosome entry sites, which enable them to translate independently from the host gene. This model is an intelligent way to regulate stability between the expression levels of circRNAs and host mRNAs.90 As a result, circRNAs control protein production at the transcriptional or post-transcriptional levels. CircZNF609, c-sirt7, and circMbl are three illustrations of circRNAs with coding probability.91-93 In glioblastoma, circFBXW7 is translated into FBXW7-185aa, a peptide that antagonizes c-Myc and prevents tumor cell progression. These findings determine the important role of circRNAs as regulators not only of RNA dynamics but also of protein-coding potential in malignancy.
Modulating immunity and metabolism
Another developing issue is the participation of circRNAs in the immune response. Specific circRNAs can regulate the function of immune cells, thereby impacting the immune system’s ability to react to infections and disorders. This discovery presents new opportunities for investigating circRNAs as potential therapeutic targets for interventions in immune-related diseases.94 CircRNAs influence metabolic pathways. They interact with enzymes and other regulatory factors that control metabolism, which can change how cells process food and use energy. This affects processes such as maintaining blood sugar levels, metabolizing fats, and producing energy. Because circRNAs can do this, they may play a role in health problems related to metabolism, such as obesity and diabetes.95 As we learn more about circRNAs, we can see that these molecules play a key role in how cells control themselves. They can interact with multiple targets within the cell, and they are characterized by high stability and specificity. This property makes circRNAs promising candidates for diagnosing and treating diseases. As we continue to study them and our technology improves, we will learn even more about the function of circRNAs. This will pave the way for novel discoveries and significant advancements in the field of biomedical science.96
Techniques for measuring circRNAs
Measuring and evaluating circRNAs requires special methods because of their unique closed-loop structure, which makes them different from linear RNAs. CircRNA sequencing is a common technique that begins with RNase R treatment to degrade linear RNAs, facilitating the process of circRNA sequencing. This step is crucial as it leaves the circular RNAs intact, allowing for their identification based on unique back-splice junctions through high-depth sequencing, although RNAase treatment is not always mandatory (Figure 3a).22,97-99 CircRNA microarrays offer another high-throughput approach by using probes specifically designed to hybridize with the junction sequences of circRNAs on a solid surface, providing a robust platform for evaluating circRNA expression without requiring RNase treatment, although this can improve accuracy.97,100,101 Northern blotting stands out because it can provide detailed information about the size, isoforms, processing, sequence, and abundance of circRNAs (Figure 3b). It distinguishes between circRNAs and linear RNAs by using different gel electrophoresis methods based on the size of the RNAs.97,102
Figure 3.
Schematic representation of diverse circRNA profiling methods
Figure 3.
Schematic representation of diverse circRNA profiling methods
Real-time quantitative polymerase chain reaction (RT-qPCR) analysis utilizes distinct primers that cover the unique back-splice junctions of circRNAs, enabling accurate quantification while preventing the amplification of linear RNAs. This method can optionally use RNase treatment to increase the concentration of circRNAs, thereby improving measurement accuracy.103 Digital droplet PCR (ddPCR) provides exceptional sensitivity for circRNA quantifying, utilizing nanodroplets for PCR amplification, and determining RNA concentration by comparing the ratio of positive to negative droplets. This method is highly accurate even for low-abundance circRNAs (Figure 3c).104,105
For spatial analysis, RNA Fluorescence in situ Hybridization (RNA-FISH) utilizes probes to detect circRNA junctions. To assess their concentration and distribution inside cells, showing their cellular localization and dynamics (Figure 3d).106 Additionally, to explore how circRNAs interact at the molecular level, methods such as circRNA affinity pulldown, which utilizes biotinylated antisense oligomers (ASOs) to capture circRNAs with streptavidin-coated beads, facilitating interaction mapping within the molecular network. Similarly, immunoprecipitation of circRNA-RBP complexes isolates circRNA-protein complexes using antibodies that target RNA-binding proteins associated with circRNAs. This step allows for later analysis of the RNA component using ddPCR and RT-qPCR. These different methods enhance our understanding of the expression, structure, and functional roles of circRNAs in cellular biology, as well as their potential therapeutic applications.22,97,107
Diagnostic and prognostic potential of circRNAs in cancer
circRNAs have gained attention as important diagnostic and prognostic biomarkers in various malignancies due to their remarkable stability, abundance in body fluids such as plasma and serum, tissue-specific expression pattern, and enabling non-invasive detection (Figure 4).108 Unlike linear RNAs, which typically degrade within 20 hours, the half-life of circRNAs in body fluids generally exceeds 48 hours, which is significantly longer than the half-life of linear RNAs that related to their closed-loop structure and protection within extracellular vesicles. Recent research mention that the half-lives of circRNA vary between 8 and 50 hours, depending on the specific circRNA species and contexts.109 Several researches have shown that expression levels of certain circRNAs are related with clinicopathological characteristics including migration potential, tumor stage, and tumor size, connecting their dysregulation to tumor invasion and development.110 Recent Meta-analyses have demonstrated that circRNAs show good diagnostic performance, with pooled sensitivity and specificity of around 79% and an area under the curve (AUC) of approximately 0.86 in hematological malignancies, demonstrating their potential for early malignancy detection and support clinical management.111 Moreover, combining multiple circRNA into panels considerably improves diagnostic accuracy compared to single circRNAs. For instance, in gastric cancer, a combination of circRNAs improved the AUC from 0.82 to 0.91, representing better sensitivity and specificity.112
Figure 4.
CircRNAs as biomarkers and therapeutic targets in cancer.This diagram depicts the role of circular RNAs (circRNAs) as biomarkers in cancer diagnosis. The human silhouette in the center represents the patient. Different circRNAs are connected to specific cancer types. These circRNAs enable diagnostic outcomes, such as early detection of tumors, monitoring of tumor progression, and evaluation of treatment responses. The illustration emphasizes the potential of circRNAs as non-invasive biomarkers in liquid biopsy applications for cancer diagnosis
Figure 4.
CircRNAs as biomarkers and therapeutic targets in cancer.This diagram depicts the role of circular RNAs (circRNAs) as biomarkers in cancer diagnosis. The human silhouette in the center represents the patient. Different circRNAs are connected to specific cancer types. These circRNAs enable diagnostic outcomes, such as early detection of tumors, monitoring of tumor progression, and evaluation of treatment responses. The illustration emphasizes the potential of circRNAs as non-invasive biomarkers in liquid biopsy applications for cancer diagnosis
Similarly, a classifier that employs five circRNAs (circPDLIM5, circSCAF8, circPLXDC2, circSCAMP1, and circCCNT2) extracted from urine extracellular vesicles has shown acceptable performance to recognize high-grade prostate cancer of grade 2 or above.113 In pancreatic ductal adenocarcinoma (PDAC), a panel of five plasma-based liquid biopsy circRNAs (hsa_circ_0060733, hsa_circ_00061117, hsa_circ_0064288, hsa_circ_0007895, and hsa_circ_0007367) was able to distinguish between early stage (stage I/II) and late stage (stage III/IV). Diagnostic accuracy of this circRNA panel for detecting PDAC patients was considerably increased and improved when combined with cancer antigen 19-9 (CA19-9), the conventional biomarker for PDAC.114 On the prognostic side, increased levels of oncogenic circRNAs are associated with poorer overall survival (hazard ratios ranging from 1.3 to 2.3), whereas tumor-suppressive circRNAs are often correlated with better survival rates. These findings underscore circRNAs value in predicting patient prognosis and therapeutic response. Despite these hopeful findings, several challenges and limitation remain, including the lack of standardized detection techniques, large-scale validation studies, and mechanistic insights to fully integrate circRNAs into clinical practice as reliable biomarkers for cancer diagnosis and prognosis are remain.81 hsa-circ-0001649 and hsa-circ-002059 have shown strong potential as biomarkers in human HCC.115,116 Similarly, hsa-circ-001988 has been proposed as a diagnostic marker for gastric cancer.117 While, circPRMT5 was introduced as a biomarker for urothelial carcinoma, where it appears have a role in tumor development and lymph node metastasis.118 Table 2 summarizes circular RNAs that highlights potential biomarkers in several cancer types. As discussed in previous parts of this review, circular RNAs have four recognized functions, and all of them are important in malignancy development.119 Furthermore, circRNAs employ as predictive markers for malignancy treatment efficacy and resistance. Several circRNAs have been recognized for their role in controlling chemosensitivity, underscoring their value in guiding treatment strategies.
Table 2.
CircRNAs with prognostic values in cancers.
|
circRNA
|
Cancer
|
Model Used
|
Mode of Action
|
Translational Stage
|
Related pathological features
|
Ref.
|
| circPRMT5 |
Urothelial carcinoma |
In vitro (UCB cell lines), In vivo (BALB/c nude mice xenograft metastasis model) |
Sponging miR-30c/upregulates SNAIL1/induces/EMTl promotes metastasis |
Preclinical (patient tissue, mouse, exosome-based biomarker) |
Tumor progression and lymph node metastasis |
118
|
| hsa_circ_0001874 |
OSCC |
Human salivary samples (clinical patient cohort, 90 OSCC vs. 82 controls) |
miRNA sponge (targets: miR-661, miR-662, miR-593-5p, miR-107, miR-103a-3p); linked to TNM stage and tumor grade |
Biomarker validation |
Tumor progression, TNM stage, tumor grade |
120
|
| hsa_circ_0001971 |
OSCC |
Human salivary samples (clinical patient cohort, 90 OSCC vs. 82 controls) |
miRNA sponge (targets: miR-152-5p, miR-103a-3p, miR-107, miR-505-3p, miR-9-5p); associated with TNM stage |
Biomarker validation |
Tumor progression, TNM stage, tumor grade |
120
|
| hsa-circ-0001785 |
Breast cancer |
Human plasma samples (n = 57 patients) |
Presumed miRNA sponge (not directly confirmed); associated with tumor burden |
Biomarker validation |
TNM stage, histological grade, distant metastasis, surgery response |
121
|
| Circ-ZEB1.33 |
HCC |
Human HCC tissues, adjacent non-tumorous tissues, HCC cell lines |
miRNA sponge for miR-200a-3p/upregulation of CDK6/ enhanced cell proliferation |
Preclinical functional studies |
Tumor proliferation, upregulated in HCC tissues vs. normal |
122
|
| hsa_circ_0005075 |
HCC |
94 paired HCC and adjacent normal tissues; clinicopathological correlation |
Downregulated in HCC; correlated with tumor size and AFP level (suggestive biomarker role) |
Pre-clinical |
Tumor size, AFP level, Edmondson stage, poor differentiation in HCC |
123
|
| hsa-circ-0001649 |
HCC |
60 paired HCC and adjacent non-tumor liver tissues; cell lines |
Downregulated; ROC analysis suggests potential diagnostic biomarker |
Clinical correlation + biomarker discovery |
Tumor size, TNM stage, AFP levels; diagnostic potential (AUC: 0.834) |
115
|
| hsa_circRNA_100855 |
LSCC |
Human LSCC tissues (n = 52 paired samples), qRT-PCR, microarray |
Not mechanistically tested |
Clinical association study |
Overexpressed in LSCC; correlated with T3–T4 grade, lymph node metastasis, supraglottic site, and advanced stage |
124
|
| hsa_circRNA_104912 |
LSCC |
Human LSCC tissues (n = 52 paired samples), qRT-PCR, microarray |
Not mechanistically tested |
Clinical association study |
Downregulated in LSCC; correlated with T3–T4 grade, lymph node metastasis, poor differentiation, and advanced stage |
124
|
| hsa_circ_0003221 circPTK2 |
Bladder cancer |
40 paired patient tissues and blood samples
- Human cell lines (T24, 5637)
- Nude mice xenograft model |
Promotes proliferation and migration; potentially via miRNA sponge (mechanism not fully defined) |
Preclinical (in vitro & in vivo) |
Overexpressed in poorly differentiated tumors, advanced T stage (II–IV), and N2–N3 lymph node metastasis |
125
|
| hsa-circ-001988 |
Colorectal cancer |
31 paired colorectal tumor and adjacent normal tissues
- Clinical correlation with patient data |
Downregulated in CRC; associated with poor differentiation and perineural invasion; possible biomarker |
Preclinical sample-based study |
Decreased expression in tumors; linked to tumor differentiation, perineural invasion; ROC AUC = 0.788 for diagnosis |
126
|
| hsa_circ_002059 |
Gastric cancer |
Human gastric cancer tissues and plasma |
Downregulate expression; potential biomarker; associated with TNM stage and metastasis |
Preclinical diagnostic biomarker study |
Associated with TNM stage, distal metastasis |
127
|
Abbreviations: OSCC, Oral squamous cell carcinoma; HCC, hepatocellular carcinoma; LSCC, Laryngeal squamous cell carcinoma.
For instance, a specific circRNA expression signature has been used to predict the response to immune checkpoint blockade therapy. The ICBcircSig score was validated based on the weighted expression of circTMTC3 and circFAM117B from melanoma in patients receiving anti-PD-1 or combined anti-CTLA4 and anti-PD-1 therapy. This model, representing that the ICBcircSig score has valuable role in predicting immunotherapy efficacy in melanoma patients.128
A growing number of clinical trials are evaluating the potential of circRNAs as diagnostic and prognostic biomarkers in several malignancies (Table 3). For instance, trial NCT05771337 is recruiting breast tumor patients to validate the clinical efficacy of two plasma-based circRNAs (hsa_circ_0001785 and hsa_circ_100219) for early detection, diagnosis and disease monitoring.129 Additionally, NCT06530082 is evaluating a new dendritic cell vaccine based on a circRNA-derived peptide (circFAM53B-219aa) in individuals with advanced solid tumors (https://www.careacross.com/clinical-trials/trial/NCT06530082). In pancreatic cancer, the CIRCUS trial is exploring circRNA panels for early diagnosis and comparing their efficacy with standard markers, such as CA19-9.114 Furthermore, pilot studies are exploring exosomal circular RNAs in cerebrospinal fluid as potential markers for tracking glioma recurrence.130 Also, preclinical studies are evaluating circPVT1 as a predictor of drug resistance in estrogen receptor alpha-positive (ERα + ) breast cancer.131 Collectively, these researches highlight the growing clinical interest in circRNAs as minimally invasive, stable, sensitive, and specific biomarkers for cancer diagnosis, prognosis, and therapeutic monitoring.
Table 3.
Clinical trials investigating circRNAs as biomarkers in cancers
|
Trial
|
Cancer type(s)
|
circRNA(s) studied
|
Approach/Goal
|
Status
|
Ref.
|
| NCT05771337 |
Breast cancer |
hsa_circ_0001785, hsa_circ_100219 |
Diagnostic/prognostic validation in plasma/serum |
Recruiting |
132
|
| NCT06530082 |
Advanced solid tumors |
circFAM53B-219aa (peptide vaccine) |
Immunotherapy, safety, and efficacy assessment |
Phase I/II, ongoing |
129
|
| CIRCUS Trial |
PDAC |
circPDE8A, circRHOBTB3, panel |
Early detection, comparison with CA19-9 |
Preclinical/Clinical |
114
|
| Glioma (pilot studies) |
Glioma |
circSMARCA5, circHIPK3 (exosomal) |
Recurrence monitoring in CSF |
Preclinical |
130
|
| Drug resistance (preclinical) |
Breast cancer (ERα + ) |
circPVT1 |
Predicting tamoxifen resistance |
Preclinical |
131
|
Abbreviation: PDAC, Pancreatic ductal adenocarcinoma.
Therapeutic applications of circRNAs in cancer treatment
Therapeutic approaches that focus on circRNAs present a hopeful and innovative future in the field of cancer treatment. circRNAs possess distinct characteristics, such as their exceptional stability and specific interactions with miRNAs and proteins, which render them highly suitable for therapeutic intervention.133 To further clarify the translational relevance of circRNAs in cancer, Table 4 provides a comparative overview of well-characterized circRNAs, detailing their associated cancer types, experimental models, modes of action, and current translational status. Here, we examine various strategies that have been developed to utilize circRNAs for cancer treatment.
Table 4.
Comparative summary of promising circRNAs across cancer types: experimental models, molecular mechanisms, and translational relevance
|
circRNA
|
Cancer type(s)
|
Model used
|
Mode of action
|
Translational stage
|
Function
|
Ref.
|
| CircHIPK3 |
Colorectal |
In vitro |
Sponges miR-1207-5p; upregulates FMNL2; promotes proliferation and metastasis |
Preclinical (in vitro, tissue analysis) |
Oncogene |
134
|
| circHIPK3 |
Bladder |
In vitro (T24T, UMUC3); In vivo (xenograft, metastasis model in nude mice) |
Sponges miR-558, downregulating heparanase (HPSE), inhibits MMP-9, VEGF, suppresses angiogenesis and metastasis |
Preclinical (in vitro + xenograft mouse model) |
Tumor suppressor |
135
|
| circMTO1 |
HCC |
In vitro (HepG2, SMMC-7721, QGY-7701, SK-Hep1); In vivo (SMMC-LTNM xenograft in nude mice); Human tissue |
Sponges miR-9; increases p21 expression; tumor suppressor |
Preclinical (in vitro, in vivo, and clinical tissue) |
Tumor suppressor |
19
|
| circITCH |
ESCC |
In vitro (Eca-109, TE-1); In vivo (xenograft nude mouse); Clinical tissues |
circITCH acts as a sponge for miR-7, miR-17, and miR-214. suppression of the Wnt/β-catenin signaling pathway |
Preclinical
(cell lines and mouse xenografts) |
Tumor suppressor |
136
|
| CDR1as (ciRS-7) |
HCC |
In vitro (HepG2, MHCC-97H); In vivo (xenograft mouse); |
circRNA Cdr1as sponges miR-1270, promotes proliferation, migration |
Preclinical (in vitro + in vivo) |
Oncogene |
137
|
| CDR1as (ciRS-7) |
Breast cancer triple-negative breast cancer |
In vitro (MDA-MB-231, BT-549); In vivo (nude mouse tail vein metastasis model) |
Sponges miR-1299, upregulates MMP2 and MMP17,promotes migration, invasion, and metastasis |
Preclinical (in vitro, in vivo, and patient tissues) |
Oncogene |
138
|
| circSMARCA5 |
Prostate cancer |
In vitro (DU145, PC3, LNCaP); In vivo (xenograft and metastasis mouse models); Clinical tissues |
Sponges miR-181b-5p and miR-17-3p upregulate TIMP3, inhibit EMT, proliferation, invasion, metastasis |
Preclinical (in vitro + in vivo + tissue validation) |
tumor suppressor |
139
|
| circFBXW7 |
Glioma |
In vitro (U251, U373); In vivo (xenograft nude mice); Clinical samples |
Encodes FBXW7-185aa protein; promotes c-Myc degradation via USP28 competition |
Preclinical (in vitro, in vivo, and clinical tissue) |
Tumor suppressor |
140
|
| circFOXO3 |
Non-small cell lung cancer |
In vitro |
Sponges miR-155, Upregulates FOXO3, a tumor suppressor, inhibits proliferation and invasion |
Preclinical (in vitro + human tissue) |
Tumor suppressor |
141
|
| circFOXO3 |
Prostate cancer |
In vitro (LNCaP, PC-3, DU145, 22Rv1) |
Sponges miR-29a-3p, upregulates SLC25A15, promotes proliferation, suppresses apoptosis |
Preclinical (in vitro + clinical tissue) |
Oncogene |
142
|
| circRNA_100290 |
Colorectal cancer |
In vitro (HCT116, SW620) |
Sponges miR-516b, upregulating FZD4, activates Wnt/β-catenin signaling, promotes proliferation, invasion, migration |
Preclinical (in vitro + clinical tissue analysis) |
oncogene |
143
|
| circPVT1 |
Gastric cancer |
In vitro (AGS, SGC-7901) |
circPVT1 functions as a competing endogenous RNA (ceRNA) by sponging miR-423-5p |
Preclinical (in vitro) |
Oncogene |
144
|
| circPVT1 |
Osteosarcoma |
In vitro (U2OS, MG63); Clinical tissue |
Sponges miR-205-5p indirectly upregulates c-FLIP, promotes EMT, invasion, and metastasis |
Preclinical (in vitro + human tissue) |
Oncogene |
145
|
| circRNA_0025202 |
Breast |
In vitro (MCF-7, MCF7/TR, T47D); In vivo (xenograft nude mice); Clinical samples |
Sponges miR-182-5p; upregulates FOXO3a; suppresses tumor growth |
Preclinical (in vitro + in vivo + clinical tissues) |
Tumor suppressor in HR + breast cancer |
146
|
| circGFRA1 |
Triple-negative breast cancer |
In vitro (MDA-MB-231, BT549, MDA-MB-468); In vivo (xenograft mouse model); Clinical tissues |
Sponges miR-34a, upregulates GFRA1, promotes proliferation, suppresses apoptosis, linked to poor prognosis |
Preclinical (in vitro + in vivo + patient samples) |
Oncogene |
147
|
| circUHRF1 (hsa_circ_0048677) |
HCC |
In vitro (HCC cell lines + NK-92 cells), In vivo (xenograft in NOD/SCID mice) |
Sponges miR-449c-5p → upregulates TIM-3 on NK cells → → induces NK cell exhaustion |
Preclinical validation and retrospective clinical association with anti-PD1 resistance |
Oncogene |
148
|
| circPRKCI |
Lung adenocarcinoma |
In vitro (LUAD cell lines)/In vivo (xenograft) |
Sponges miR-545 and miR-589, leading to upregulation of E2F7, promoting cell proliferation and tumorigenesis |
Preclinical |
Oncogene |
149
|
| circZNF609 |
Breast cancer |
In vitro (MCF7, MDA-MB-231); In vivo (nude mouse xenograft) |
miRNA sponge (miR-145-5p), upregulates p70S6K1, promotes proliferation, migration, invasion |
Preclinical |
Oncogene |
150
|
Abbreviations: ESCC, Esophageal squamous cell carcinoma; HCC, hepatocellular carcinoma; FMNL2, formin-like 2; CDR1as, Cerebellar degeneration-related protein 1 antisense RNA; ceRNA, endogenous RNA; OSCC, Oral squamous cell carcinoma; LUAD, Lung adenocarcinoma; EMT, Epithelial-mesenchymal transition.
circRNAs targeting strategy
Antisense oligonucleotides (ASOs)
One of the prominent approaches is the use of antisense oligonucleotides (ASOs) specifically degrade oncogenic circRNAs. ASOs are synthetic, short nucleotide sequences that regulate the function of target genes. The FDA has approved two ASO drugs for Duchenne muscular dystrophy (DMD) and spinal muscular atrophy (SMA) treatment.151 circHIPK3, which promotes colorectal and esophageal cancer (EC) by sponging tumor-suppressive microRNAs, can be targeted by ASOs to disrupt its oncogenic activity and restore the normal function of these microRNAs. This targeted degradation can significantly inhibit tumor growth and progression.18,152 Chemical modifications such as phosphorothioate backbones and 2’-O-methylation increase nuclease resistance while simultaneously decrease immunogenicity. Despite these advancements, challenges related to delivery efficiency and tissue specificity remain important problem to clinical translation. Advances in circRNA annotation, modify chemical of ASOs, and improvement of targeted delivery systems may enable for the development of circRNA-directed precision therapeutics that control circRNA activity in a selective and effective way.153 In a pivotal study, Legnini et al confirmed that circZNF609 can be selectively silenced using BSJ-specific ASOs, which led to decrease myoblast proliferation without altering the linear transcript.91
CRISPR/Cas9 gene editing
Advanced gene editing technologies such as CRISPR/Cas9 offer the potential to correct dysfunctional circRNAs implicated in cancer. This approach can be employed to delete or modify oncogenic circRNAs, such as circPRKCI in lung adenocarcinoma, thereby restoring normal cellular functions and inhibiting cancer progression.149 CRISPR/Cas9-mediated knockout of specific circRNAs can provide insights into their roles in malignancy and pave the way for targeted therapies.154 The application of CRISPR/Cas9- to target circRNAs shows hopeful new avenue for cancer treatment, particularly in tumors where specific circRNAs are involved in malignancy development, treatment resistance, or migration potential. Since circRNA expression profiles can vary between different tumor types and even among individual patients, CRISPR/Cas9 technology aligns well with the principles of personalized medicine. By using CRISPR technology to target specific circRNAs correlated with poor prognosis or therapeutic resistance, it may be possible to develop highly specific, patient-centered interventions.155 In related work, CRISPR/Cas9 system has been planned to target the telomerase reverse transcriptase (TERT) promoter or its coding regions. These interventions have effectively prevented TERT transcription and decrease telomerase activity which leading to suppressed cell progression and development and increased apoptosis in malignancy cells.156 As of May 2025, no clinical trials have been published, particularly using CRISPR technology to target circRNAs. However, several preclinical investigations have made considerable progress. Notably, Zhang et al developed an improved CRISPR/Cas13d platform that efficiently degrades circRNAs at the RNA level with higher specificity and efficiency than shRNA methods.157
Delivery strategies
Nanoparticle-based delivery systems
Another promising strategy involves the engineering of circRNA-based nanoparticles for targeted drug delivery. These nanoparticles encapsulate circRNAs, shielding them from nuclease-mediated degradation and enabling their effective delivery into tumor cells. Among the several platforms, lipid nanoparticles (LNPs) has been particularly successful in targeting tumors, types, especially in HCC.158,159 In preclinical studies, LNPs loaded with circRNAs promoted apoptosis, and prevent tumor cell proliferation and progression.160,161 You et al designed magnetically responsive nanoplatforms based PEG-PCL-PEI-C14-coated superparamagnetic iron oxide nanoparticles (SPIONs) for delivering siRNA to target circ_0058051, which led to considerable decrease in circRNA expression and noteworthy tumor inhibition in a HCC model, with no observable off-target toxicity.162 Similarly, Shu et al. used chitosan–epigallocatechin gallate (CS–EGCG) nanoparticles to deliver a circSPIRE1 overexpression plasmid via systemic administration. Their finding showed a significant decrease in lung metastasis in renal cell carcinoma model, by promoting epithelial integrity and repressing angiogenesis.163
Exosome-based delivery systems
Exosome-based delivery systems have garnered important attention as a next generation platform to developing circRNA therapeutics. These nano-sized extracellular vesicles, naturally secreted by cells, can be designed to carry circRNAs directly to tumor cells. These exosomes offer several advantages, as well as their innate ability to pass biological barriers and target specific tissues, such as malignant cells. For instance, circ-0025202 was successfully delivered to breast cancer cells via engineered exosomes. This approach led to considerable decrease in tumor progression and metastasis, indicating the therapeutic potential of exosome-mediated circRNA delivery. This therapeutic strategy utilizes the natural stability and efficient cellular uptake mechanisms of exosomes to promote circRNA delivery while reducing toxicity.164
Synthetic circRNAs and tumor suppressor restoration
Synthetic circRNAs
Synthetic circRNAs can be designed to act as sponges for oncogenic miRNAs, preventing these miRNAs from promoting tumor growth and resistance to apoptosis. For example, synthetic circRNAs can be designed to sequester miR-21-5p, an oncogenic microRNA in cancer cells, thereby preventing it from promoting tumor growth and resistance to apoptosis. These synthetic circRNAs can reduce miRNA availability, thus increasing the tumor-suppressive gene expression like RECK and PDCD4.165,166
Upregulating tumor suppressor circRNAs
CircRNAs like circITCH have confirmed tumor-suppressive function by controlling important oncogenic pathways. In bladder cancer, circ-ITCH prevents tumor growth and development by sponging miR-17/miR-224 and leading to increased expression including p21 and PTEN.167 In colorectal tumor, circITCH suppresses cell progression and growth via sponging miR-7, which results in elevated expression ofITCH, a known negative controller of theWnt/β-cateninsignalingpathway.168,169 Likewise, in gastric cancer, both in vitro and in vivo research have confirmed that cir-ITCH have a tumor suppressor function to suppress tumor carcinogenesis by binding to miR-17 and subsequently downregulating the Wnt/β-catenin pathway.This suppressive impact on tumor progression and growth was decreased when miR-17 was reintroduced.170 Despite these hopeful preclinical results, high expression of tumor suppressor circRNAs for treatment goals have several technical and translational challenges. Improvement invector engineering, nanoparticle-baseddelivery system, and chemical modifications are being developed to overcome these barriers and enable the transition of circRNA-based tumor suppressors into clinical applications.171 Table 5 showstumor suppressor circRNAs and preclinical upregulation strategies.
Table 5.
Tumor suppressor circRNAs and preclinical upregulation strategies
|
circRNA
|
Cancer type
|
Mechanism
|
Therapeutic strategy
|
Effect
|
Clinical/preclinical
|
Ref.
|
| circSMARCA5 |
Glioblastoma |
Sponges oncogenic miRNAs; inhibits angiogenesis |
Plasmid overexpression / synthetic circRNA |
↓ Proliferation, ↓ Migration |
preclinical |
173
|
| circFOXO3 |
NIH3T3 cell, B16 cells (mouse melanoma cell line) |
Binds CDK2/p21; blocks cell cycle progression |
Viral vector overexpression |
↑ Apoptosis, ↓ Tumor growth |
preclinical |
174
|
| circITCH |
Colorectal, bladder |
Sponges miRNAs regulating Wnt pathway |
plasmid-based overexpression, Lentiviral delivery |
↓ Wnt signaling, ↓ Cell proliferation |
preclinical |
168,170
|
Immune modulation
Circular RNAs are emerging as both modulators and potential targets in cancer immunotherapy. Moreover, synthetic circRNAs can be designed to modulate the immune response against cancer. These synthetic circRNAs can act as decoys for immune checkpoint proteins, such as PD-L1, thereby enhancing the body’s immune response against tumors.174 Collectively, these therapeutic strategies underscore the versatile potential of circRNAs in cancer treatment, offering novel avenues to target and overcome the molecular complexities of cancer. Table 6 presents the circRNAs involved in immune modulation and their therapeutic potential.
Table 6.
circRNAs involved in immune modulation and therapeutic potential
|
circRNA
|
Cancer type
|
Immune function
|
Therapeutic strategy
|
In vitro/in vivo
|
Ref.
|
| circUHRF1 |
HCC |
Induces NK cell exhaustion via TIM-3 upregulation |
lentiviral shRNA system + anti-PD1 |
in vitro and in vivo |
149
|
| circ-CPA4 |
NSCLC (A549 and H1299 cell lines; BALB/c nude mice xenografts) |
Promotes PD-L1 expression; immune evasion |
siRNA and shRNA-mediated knockdown |
in vitro and in vivo |
176
|
| circEIF3K |
colorectal cancer (HCT116, SW620, FHC) |
Silencing circEIF3K, up-regulate miR-214, reducing PD-L1 expression |
siRNA and lentiviral shRNA |
in vitro and in vivo |
177
|
circRNAs as immune modulators in the tumor microenvironment
Recent research indicates that certain circRNAs control immune checkpoints, cytokine production, T-cell activity, and immune cell infiltration, thus can contribute to tumor immune evasion and escape. One well-studied example is circUHRF1, which is notably highly expressed in HCC, is secreted via exosomes. This circRNA promotes NK cell exhaustion by increase in T-cell Immunoglobulin and Mucin-domain containing-3 (TIM-3) expression. Functional studies have confirmed that knockdown of circUHRF1 restores NK cell cytotoxicity and enhances the efficacy of anti-programmed cell death protein-1 (PD-1) therapy, underscoring its potential as a therapeutic target.148 Similarly, in non-small cell lung cancer, circ-CPA4 facilitates immune escape by spongingmiR-377, resulting in overexpression of PD-L1 and immune evasion and escape. Knockdown of circ-CPA4, sensitize tumors to immune checkpoint blockade, further highlighting the clinical importance of circRNAs in regulating immune responses.175
circRNAs as biomarkers for immunotherapy response
CircRNAs exhibit exceptional stabilityin blood and exosomes, making them attractive candidates for non-invasive biomarkers to predict immunotherapy response. A compelling example is exosomalcircEIF3K, which is derived from cancer-associated fibroblast induces colorectal cancer growth by the miR-214/PD-L1 signaling pathway.176
Clinical challenges in circRNA-based therapeutic
With pay attention to the acceptable promise of circRNA-based therapeutics, the application of circRNAs stay in preclinical phase, introducing these challenges is important for proceeding their development from preclinical studies to clinical applications. This section highlights the important limits of these techniques and explores potential strategies for overcoming them. One important dis-advantage is the risk of off-target gene silencing, where RNA interference (RNAi) techniques including the use of small interfering RNAs (siRNAs), can knockdown unintended genes due to partial complementarity leading to unexpected and mostly damaging effects. Although recent techniques, like CRISPR/Cas13 technology, show higher specificity in targeting circRNAs, but these method and technology still require validation in vivo application, before they can be safely used in clinic.177 Another considerable challenge is related the non-specific delivery of therapeutic agents to tissues or cell types since some circRNAs are expressed in multiple tissue types, this can lead to off-target effects in non-diseased tissues. For this reason, researchers are designing nanoparticle delivery platform that induce the selectivity and accuracy of delivering therapeutic agents to specific tissues or cell.178 Furthermore, numerous technical and safety problems prevent the clinical translation of circRNA-based therapies. For instance, gold nanoparticles (AuNPs), widely used to deliver vehicles for circRNA-targeting agents in vivo models whereas increase toxicity and safety risks.179 Ongoing research is focused on optimizing AuNP properties for improve safety and biocompatibility or selecting safer alternatives, including lipid nanoparticle (LNP)-based systems, which are already approved for use in mRNA-based vaccines and RNA therapies.178 However, the using LNPs also has some disadvantages, including inefficient endosomal escape and limited ability to target solid tumors is the main reason to prevent their application in malignancy treatment therapy.180
In clinical scale, another important disadvantage is the complexity and cost of producing high-purity circRNAs. High expression vectors frequently generate linear or mis-spliced byproducts, decreasing therapeutic purity. Recent studies in template-based in vitro circularization and purification are hopeful but they are not yet suitable for industrial production.181 Moreover, synthetic circRNAs may induce immune responses because they do not have specific post-transcriptional modifications present in endogenous circRNAs, including N6-methyladenosine (m6 A), which help them to evade immune responses. There are some techniques to decrease synthetic circRNAs immunogenicity including chemical modifications and coating synthetic circRNAs with RBPs to escape immune responses.182 From a diagnostic feature, the remarkable stability of circRNAs in body fluids like plasma, serum, and saliva supports their potential application in liquid biopsy platforms. However, the clinical applications of circRNAs stay limited due to the absence of standardized detection protocols and unpredictable functional validation in different patient cohorts. Moreover, ongoing discussion about the coding potential of some circRNAs, emphasizes the need for more complete functional characterization and mechanistic studies.183 Recent studies have also underscored translational setbacks. For instance, overexpression of circRNAs leads to induction of immune responses or inability to reproduce in vitro effects in vivo. to address this challenge, researchers are engineering synthetic circRNAs that more closely mimic endogenous molecules, with the goal of maintaining function and reducing immunogenicity. Additionally, combination therapeutic methods, including pairing circRNA delivery with immune checkpoint inhibitors, are also being investigated to increase efficiency.184 Overcoming these challenges is essential to translating the preclinical findings into effective clinical therapies.
Conclusion
circRNAs are gaining recognitionas important regulators in cancer biology, with diverseroles as diagnostic biomarkers, therapeutic targets, and even direct treatment approaches. Their unique characteristics, such as remarkable stability, functional versatility, and precise regulatory capabilities, make them a promising class of molecules for personalized cancer treatment. Nevertheless, the field remains in its early stages, and inconsistencies in studies, along with technical limitations, underscore the urgent requirement for rigorous and standardized research frameworks. The future clinical impact of circRNAs is dependent on ongoing methodological advancements, scalable delivery systems, and robust clinical validation. As research into circRNAs continues to gain momentum, several remarkable methods and techniques are emerging that could reshape malignancy diagnosis and treatment. The advancement of CRISPR-based technologies and the development of chemically stabilized synthetic circRNAs may improve specificity and durability. Alongside, progress in nanoparticle and exosome-mediated delivery platform provides more targeted and efficient delivery of circRNA-based therapeutics, increasing their clinical potential.185 Regardless of these developments, important challenges remain, such as lack of clinical trial data, functional diversity of circRNAs across various cancer types, and an incomplete understanding of circRNA-host gene interactions. Future studies efforts should prioritize large-scale, standardized investigations accompanied by robust functional validation across a variety ofpreclinical and clinical models. Also, integrating circRNA signatures with genomic and proteomic profiling could facilitate highly personalized cancer management, paving the way for accurate oncology tools that using circRNA biology for personalized prognosis, diagnosis, and treatment interventions.81,186
Competing Interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Consent for Publication
Not applicable.
Data Availability Statement
Not applicable.
Ethical Approval
Not applicable.
Acknowledgements
We would like to appreciate the cooperation of the Clinical Research Development Unit, Imam Reza General Hospital, Tabriz, Iran, in conducting this research.
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