| Literature DB >> 36081987 |
Yi Zhu1, Gaozhen Huang1, Shihao Li1, Hong Xiong1, Ruiqi Chen1, Ling Zuo2, Hongwei Liu1.
Abstract
Circular RNAs (circRNAs) are recognized as a novel type of single-stranded endogenous noncoding RNA molecule with the characteristics of tissue specificity, sequence conservation and structural stability. Accumulating studies have shown that circRNAs play a unique biological role in different kinds of diseases. CircRNAs can affect tumor proliferation, migration, metastasis and other behaviors by modulating the expression of downstream genes. CircSMARCA5, an example of a circRNA, is dysregulated in various noninfectious diseases, such as tumors, osteoporosis, atherosclerosis and coronary heart disease. Furthermore, recent studies have demonstrated that circSMARCA5 is associated with the occurrence and development of a variety of tumors, including gastric cancer, glioblastoma, hepatocellular carcinoma, multiple myeloma, colorectal cancer, breast cancer and osteosarcoma. Mechanistically, circSMARCA5 primarily acts as a sponge of miRNAs to regulate the expression of downstream genes, and can serve as a potential biomarker for the diagnosis of malignant tumors. This review summarizes the biological roles of circSMARCA5 and its molecular mechanism of action in various diseases. Moreover, the meta-analysis of some publications showed that the expression of circSMARCA5 was significantly correlated with the prognosis of patients and tumor TNM stage, showing that circSMARCA5 has the potential to be a prognostic marker.Entities:
Keywords: biomarker; cancer; circSMARCA5; circular RNA; miRNA sponge
Year: 2022 PMID: 36081987 PMCID: PMC9445203 DOI: 10.3389/fgene.2022.921306
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.772
FIGURE 1The number of circRNA publications published annually has grown dramatically exponentially in PubMed from 1991 to 2021, especially in the past 5 years.
FIGURE 2The formation mechanisms of circular RNAs. (A). Lariat-driven circularization. The splice donor of the downstream exon of the pre-mRNA binds to the splice acceptor of the upstream exon, thereby forming exon-intron circRNAs. When the introns are removed, the exons are linked by 3–5′ phosphodiester bonds to form exonic circRNAs. (B–C). Intron pair-driven circularization. The introns flanking the exons of the pre-mRNA are base -paired through ALU repeats to generate exon-intron circRNAs, exonic circRNAs and intronic circRNAs. (D). RBPs-mediated circularization. RBPs bind to RBP binding sites in intron sequences, and the interaction promotes the production of circRNAs.
FIGURE 3Biological functions of circRNAs. (A). miRNA sponges. circRNAs can function as miRNA sponges to regulate the expression of target genes. (B). Interaction with RBPs. circRNAs can interact with RBPs to affect downstream signals. (C). Protein coding. circRNAs with IRESs and ORFs can translate certain proteins/peptides to perform special functions. (D). Transcriptional regulation. EIciRNAs and U1 small nuclear ribonucleic proteins (U1 snRNPs) are co-localized to the promoter of the parental gene and promote transcription of the parental gene with the participation of RNA polymerase II.
FIGURE 4Descriptive statistics of the number of studies of circSMARCA5 in each disease.
FIGURE 5A flow chart of screening eligible articles for meta-analysis.
FIGURE 6Generation of circSMARCA5. Exons 15 and 16 of SMARCA5 are back-spliced to form circSMARCA5.
The expression and roles of circSMARCA5 in various cancers.
| Tumor types | Samples | Expression | Mechanism | Functional roles | Ref |
|---|---|---|---|---|---|
| GC | 23 pairs | down | miR-346/FBXL2 | suppress proliferation, migration and invasion |
|
| 60 pairs | down | — | inhibit proliferation, migration, and invasion |
| |
| GBM | 56 tumor | down | SRSF1/SRSF3/PTBP1/PTBP2 | inhibit migration and angiogenesis |
|
| HCC | 133 pairs | down | — | inhibit proliferation, invasion and metastasis, promote late apoptosis |
|
| 73 pairs | down | — | suppress proliferation, migration and invasion, enhance apoptosis |
| |
| 40 pairs | down | DHX9/circSMARCA5/miR-17-3p/miR-181b-5p/TIMP3 | suppress growth, migration and distant metastasis |
| |
| NSCLC | 66 pairs | down | miR-670-5p/RBM24 | suppress growth |
|
| 460 pairs | down | — | inhibit proliferation and strengthen hemotherapy sensitivity |
| |
| ICC | 92 pairs | down | — | inhibit proliferation and increase chemotherapy sensitivity |
|
| MM | 105 tumor, 36 normal | down | miR-767-5p | inhibit proliferation and promote apoptosis |
|
| CRC | 35 pairs | down | miR-552/Wnt | suppress proliferation, migration, invasion and promote apoptosis |
|
| 45 pairs | down | miR-39-3p/ARID4B | inhibit proliferation, migration and invasion |
| |
| CC | 30 pairs | down | miR-620 | inhibit proliferation, migration and invasion |
|
| 20 pairs | down | SND1/YWHAB | suppress proliferation and invasion, enhance apoptosis |
| |
| BC | — | down | SMARCA5 | suppress DNA repair capacity and improve chemotherapy sensitivity |
|
| PCa | 30 pairs | up | miR-432/PDCD10 | promote proliferation, metastasis, and glycolysis |
|
| 21 pairs | up | — | promote proliferation, inhibit apoptosis and affect cell cycle |
| |
| BCa | 156 tumor 71 normal | up | — | promotes proliferation, migration, invasion and inhibit apoptosis |
|
Abbreviations: GC: gastric cancer; GBM: glioblastoma; HCC: hepatocellular carcinoma; NSCLC: non-small -cell lung cancer; ICC: intrahepatic cholangiocarcinoma; MM: multiple myeloma; CRC: colorectal cancer; CC: cervical cancer; BC: breast cancer; PCa: prostate cancer; BCa: bladder cancer.
The clinicopathological features of circSMARCA5 in several human cancers.
| Tumor types | Clinicopathological features | Ref |
|---|---|---|
| GC | poor tumor differentiation, more lymph node metastasis, vascular invasion, high AJCC stage, poor OS and DFS |
|
| GBM | advanced histological grade, more blood vascular microvessel density, poor OS and PFS | ( |
| HCC | poor tumor differentiation, high TNM stage, microvascular invasion, large tumor size and more tumor lesions | ( |
| NSCLC | large tumor size, more lymphatic metastasis and high TNM stage | ( |
| ICC | ECOG performance score, advanced TNM stage and abnormal CA199 status |
|
| MM | high beta-2-microglobulin levels, poor complete response and short OS and PFS after effective chemotherapy |
|
| BCa | larger tumor size, higher tumor stage, lymphatic metastasis and worse DFS and OS | ( |
Abbreviations: GC: gastric cancer; GBM: glioblastoma; HCC: hepatocellular carcinoma; NSCLC: non-small -cell lung cancer; ICC: intrahepatic cholangiocarcinoma; MM: multiple myeloma; BCa: bladder cancer.
FIGURE 7(A). CircSMARCA5 acts as miRNA sponges in various cancers. (a). gastric cancer; (b). hepatocellular carcinoma; (c). non-small -cell lung cancer; (d). multiple myeloma; (e,f). colorectal cancer; (g). cervical cancer; (h). prostate cancer. (B). CircFunBase database was used to predict potential RNA-binding proteins that can bind to circSMARCA5.
Characteristics of the studies included in the present meta-analysis.
| Study | year | Cancer | No. | Detection method | Survival | Follow-up time (month) | NOS score |
|---|---|---|---|---|---|---|---|
| Barbagallo | 2019 | GBM | 31 | RT-qPCR | OS, PFS | ≥40 | 6 |
| Cai | 2019 | GC | 60 | RT-qPCR | OS, DFS, TNM | ≥40 | 7 |
| Liu | 2019 | MM | 105 | RT-qPCR | OS, PFS | ≥40 | 6 |
| Lu | 2020 | ICC | 92 | RT-qPCR | OS, TNM | ≥60 | 8 |
| Miao | 2020 | CRC | 45 | RT-qPCR | OS | ≥100 | 8 |
| Tong | 2020 | NSCLC | 460 | RT-qPCR | OS, DFS, TNM | ≥96 | 8 |
| Yu | 2018 | HCC | 40 | RT-qPCR | OS, RFS | ≥60 | 8 |
Abbreviations: GC: gastric cancer; GBM: glioblastoma; HCC: hepatocellular carcinoma; NSCLC: non-small -cell lung cancer; ICC: intrahepatic cholangiocarcinoma; MM: multiple myeloma; CRC: colorectal cancer.
FIGURE 8Quality assessment of the included studies. (A). Each risk of bias item for each included study. (B). Each risk of bias item presented as percentages across all included studies.
FIGURE 9Forest plot of the association between circSMARCA5 expression and (A) OS, (B) DFS/RFS/PFS, (C) tumor TNM stage. (D) Begg’s funnel plot.