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Yao Y, Zhang H, Liu H, Teng C, Che X, Bian W, Zhang W, Wang Z. CT-based radiomics predicts CD38 expression and indirectly reflects clinical prognosis in epithelial ovarian cancer. Heliyon 2024; 10:e32910. [PMID: 38948050 PMCID: PMC11211891 DOI: 10.1016/j.heliyon.2024.e32910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 05/29/2024] [Accepted: 06/11/2024] [Indexed: 07/02/2024] Open
Abstract
Background Cluster of differentiation 38 (CD38) has been found to be highly expressed in various solid tumours, and its expression level may be associated with patient prognosis and survival. This study aimed to evaluate the prognostic value of CD38 expression for patients with epithelial ovarian cancer (EOC) and construct two computed tomography (CT)-based radiomics models for predicting CD38 expression. Methods A total of 333 cases of EOC were enrolled from The Cancer Genome Atlas (TCGA) database for CD38-related bioinformatics and survival analysis. A total of 56 intersection cases from TCGA and The Cancer Imaging Archive (TCIA) databases were selected for radiomics feature extraction and model construction. Logistic regression (LR) and support vector machine (SVM) models were constructed and internally validated using 5-fold cross-validation to assess the performance of the models for CD38 expression levels. Results High CD38 expression was an independent protective factor (HR = 0.540) for overall survival (OS) in EOC patients. Five radiomics features based on CT images were selected to build models for the prediction of CD38 expression. In the training and internal validation sets, for the receiver operating characteristic (ROC) curve, the LR model reached an area under the curve (AUC) of 0.739 and 0.732, while the SVM model achieved AUC values of 0.741 and 0.700, respectively. For the precision-recall (PR) curve, the LR and SVM models demonstrated an AUC of 0.760 and 0.721. The calibration curves and decision curve analysis (DCA) provided evidence supporting the fitness and net benefit of the models. Conclusions High levels of CD38 expression can improve OS in EOC patients. CT-based radiomics models can be a new predictive tool for CD38 expression, offering possibilities for individualised survival assessment for patients with EOC.
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Affiliation(s)
- Yuan Yao
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Haijin Zhang
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Hui Liu
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Chendi Teng
- Department of Radiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, China
| | - Xuan Che
- Department of Gynecology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang, 314000, China
| | - Wei Bian
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Wenting Zhang
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
| | - Zhifeng Wang
- Department of Radiology, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang 314000, China
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Drula R, Braicu C, Neagoe IB. Current advances in circular RNA detection and investigation methods: Are we running in circles? WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1850. [PMID: 38702943 DOI: 10.1002/wrna.1850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/30/2024] [Accepted: 04/01/2024] [Indexed: 05/06/2024]
Abstract
Circular RNAs (circRNAs), characterized by their closed-loop structure, have emerged as significant transcriptomic regulators, with roles spanning from microRNA sponging to modulation of gene expression and potential peptide coding. The discovery and functional analysis of circRNAs have been propelled by advancements in both experimental and bioinformatics tools, yet the field grapples with challenges related to their detection, isoform diversity, and accurate quantification. This review navigates through the evolution of circRNA research methodologies, from early detection techniques to current state-of-the-art approaches that offer comprehensive insights into circRNA biology. We examine the limitations of existing methods, particularly the difficulty in differentiating circRNA isoforms and distinguishing circRNAs from their linear counterparts. A critical evaluation of various bioinformatics tools and novel experimental strategies is presented, emphasizing the need for integrated approaches to enhance our understanding and interpretation of circRNA functions. Our insights underscore the dynamic and rapidly advancing nature of circRNA research, highlighting the ongoing development of analytical frameworks designed to address the complexity of circRNAs and facilitate the assessment of their clinical utility. As such, this comprehensive overview aims to catalyze further advancements in circRNA study, fostering a deeper understanding of their roles in cellular processes and potential implications in disease. This article is categorized under: RNA Methods > RNA Nanotechnology RNA Methods > RNA Analyses in Cells RNA Methods > RNA Analyses In Vitro and In Silico.
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Affiliation(s)
- Rareș Drula
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ioana-Berindan Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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3
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Wang H, Zhang Y, Miao H, Xu T, Nie X, Cheng W. CircRAD23B promotes proliferation and carboplatin resistance in ovarian cancer cell lines and organoids. Cancer Cell Int 2024; 24:42. [PMID: 38273320 PMCID: PMC10811902 DOI: 10.1186/s12935-024-03228-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/15/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Circular RNAs (circRNAs) are involved in the regulation of progression and drug resistance in ovarian cancer (OC). In the present study, we aimed to explore the role of circRAD23B, a newly identified circRNA, in the regulation of carboplatin-resistant OC. METHODS CircRAD23B expression levels were measured using qRT-PCR. The biological roles of circRAD23B were analysed using CCK-8, colony formation, EDU, flow cytometry, and cell viability assays. RNA pull-down and luciferase assays were used to investigate the interactions of circRAD23B with mRNAs and miRNAs. RESULTS CircRAD23B was significantly increased in carboplatin-resistant OC tissues. CircRAD23B promoted proliferation and reduced sensitivity to carboplatin in cell lines and patient-derived organoids (PDOs), consistent with in vivo findings. Mechanistically, circRAD23B acted as a molecular sponge, abrogating its inhibitory effect on Y-box binding protein 1 (YBX1) by adsorbing miR-1287-5p. Rescue experiments confirmed that the pro-proliferation and carboplatin resistance mediated by circRAD23B was partially reversed by the upregulation of miR-1287-5p. CONCLUSIONS Our results demonstrated, for the first time, the role of the circRAD23B/miR-1287-5p/YBX1 axis in OC progression and carboplatin resistance in cell lines, PDOs, and animal models, providing a basis for the development of targeted therapies for patients with OC.
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Affiliation(s)
- Hui Wang
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Yashuang Zhang
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Huixian Miao
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Ting Xu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Xianglin Nie
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Wenjun Cheng
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
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4
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Wilczyński J, Paradowska E, Wilczyński M. High-Grade Serous Ovarian Cancer-A Risk Factor Puzzle and Screening Fugitive. Biomedicines 2024; 12:229. [PMID: 38275400 PMCID: PMC10813374 DOI: 10.3390/biomedicines12010229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 01/14/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is the most lethal tumor of the female genital tract. Despite extensive studies and the identification of some precursor lesions like serous tubal intraepithelial cancer (STIC) or the deviated mutational status of the patients (BRCA germinal mutation), the pathophysiology of HGSOC and the existence of particular risk factors is still a puzzle. Moreover, a lack of screening programs results in delayed diagnosis, which is accompanied by a secondary chemo-resistance of the tumor and usually results in a high recurrence rate after the primary therapy. Therefore, there is an urgent need to identify the substantial risk factors for both predisposed and low-risk populations of women, as well as to create an economically and clinically justified screening program. This paper reviews the classic and novel risk factors for HGSOC and methods of diagnosis and prediction, including serum biomarkers, the liquid biopsy of circulating tumor cells or circulating tumor DNA, epigenetic markers, exosomes, and genomic and proteomic biomarkers. The novel future complex approach to ovarian cancer diagnosis should be devised based on these findings, and the general outcome of such an approach is proposed and discussed in the paper.
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Affiliation(s)
- Jacek Wilczyński
- Department of Gynecological Surgery and Gynecological Oncology, Medical University of Lodz, 4 Kosciuszki Str., 90-419 Lodz, Poland
| | - Edyta Paradowska
- Laboratory of Virology, Institute of Medical Biology of the Polish Academy of Sciences, 106 Lodowa Str., 93-232 Lodz, Poland;
| | - Miłosz Wilczyński
- Department of Surgical, Endoscopic and Gynecological Oncology, Polish Mother’s Health Center—Research Institute, 281/289 Rzgowska Str., 93-338 Lodz, Poland;
- Department of Surgical and Endoscopic Gynecology, Medical University of Lodz, 4 Kosciuszki Str., 90-419 Lodz, Poland
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Zhou YC, Lao WJ, Xu YL, Huang X, Li C, Wang ZQ, Wang QJ, Sun YW. Upregulation of circRNA_0023685 promotes gastric cancer progression via a circRNA-miRNA-mRNA interaction network. Am J Cancer Res 2024; 14:130-144. [PMID: 38323291 PMCID: PMC10839325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/21/2023] [Indexed: 02/08/2024] Open
Abstract
Circular RNAs (circRNAs) have been extensively studied for their critical roles as noncoding RNAs (ncRNAs) in gastric cancer (GC). In this study, we focused on the expression, function and molecular mechanism of circRNA_0023685 in gastric cancer (GC) to provide new ways for the diagnosis and treatment of GC. Firstly, a novel differentially expressed circRNA, circRNA_0023685, was identified, and its differential expression in GC plasma, tissue, and cell lines was further verified by RT-qPCR. Next, circRNA_0023685 was verified to promote the proliferation, migration and apoptosis of GC cells in vitro. CircRNA_0023685 was also proved to enhance the growth of GC tumors in xenograft models. Finally, for excavating the mechanism to promote GC, downstream microRNAs (miRNAs) and mRNAs were screened by bioinformatics analyses. After intersecting the target genes and genes enriched in GO analysis, a circRNA competing endogenous RNAs (ceRNAs) network was built. A protein-protein interaction (PPI) network was then constructed to find the candidate gene, APP. Our study confirmed that the highly expressed circRNA_0023685 could promote GC, which provided a new clinical diagnostic biomarker and therapeutic target for GC.
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Affiliation(s)
- You-Ci Zhou
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Wen-Ji Lao
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Yi-Lu Xu
- Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Faculty of Basic Medicine, Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Xi Huang
- Department of Intensive Care Medicine, Renji Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Chen Li
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Zhen-Qiang Wang
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Qi-Jun Wang
- Faculty of Medical Laboratory Science, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China
| | - Yun-Wei Sun
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghai, China
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6
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Zhang H, Wang L, Wu H. Liquid biopsy in ovarian cancer in China and the world: current status and future perspectives. Front Oncol 2023; 13:1276085. [PMID: 38169730 PMCID: PMC10758434 DOI: 10.3389/fonc.2023.1276085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/17/2023] [Indexed: 01/05/2024] Open
Abstract
Ovarian cancer (OC) is the eighth most common cancer in women, but the mild, non-specific clinical presentation in early stages often prevents diagnosis until progression to advanced-stage disease, contributing to the high mortality associated with OC. While serum cancer antigen 125 (CA-125) has been successfully used as a blood-borne marker and is routinely monitored in patients with OC, CA-125 testing has limitations in sensitivity and specificity and does not provide direct information on important molecular characteristics that can guide treatment decisions, such as homologous recombination repair deficiency. We comprehensively review the literature surrounding methods based on liquid biopsies, which may provide improvements in sensitivity, specificity, and provide valuable additional information to enable early diagnosis, monitoring of recurrence/progression/therapeutic response, and accurate prognostication for patients with OC, highlighting applications of this research in China.
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Affiliation(s)
- Hui Zhang
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lingxia Wang
- MRL Global Medical Affairs, MSD China, Shanghai, China
| | - Huanwen Wu
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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7
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Zhang Z, Wei Z, Zhao L, Gu C, Meng Y. Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis. J OBSTET GYNAECOL 2023; 43:2171778. [PMID: 36803381 DOI: 10.1080/01443615.2023.2171778] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Ovarian cancer (OC) is characterised by heterogeneity that complicates the prediction of patient survival and treatment outcomes. Here, we conducted analyses to predict the prognosis of patients from the Genomic Data Commons database and validated the predictions by fivefold cross-validation and by using an independent dataset in the International Cancer Genome Consortium database. We analysed the somatic DNA mutation, mRNA expression, DNA methylation, and microRNA expression data of 1203 samples from 599 serous ovarian cancer (SOC) patients. We found that principal component transformation (PCT) improved the predictive performance of the survival and therapeutic models. Deep learning algorithms also showed better predictive power than the decision tree (DT) and random forest (RF). Furthermore, we identified a series of molecular features and pathways that are associated with patient survival and treatment outcomes. Our study provides perspective on building reliable prognostic and therapeutic strategies and further illuminates the molecular mechanisms of SOC.Impact statementWhat is already known on this subject? Recent studies have focussed on predicting cancer outcomes based on omics data. But the limitation is the performance of single-platform genomic analyses or the small numbers of genomic analyses.What do the results of this study add? We analysed multi-omics data, found that principal component transformation (PCT) significantly improved the predictive performance of the survival and therapeutic models. Deep learning algorithms also showed better predictive power than did decision tree (DT) and random forest (RF). Furthermore, we identified a series of molecular features and pathways that are associated with patient survival and treatment outcomes.What are the implications of these findings for clinical practice and/or further research? Our study provides perspective on how to build reliable prognostic and therapeutic strategies and further illuminates the molecular mechanisms of SOC for future studies.
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Affiliation(s)
- Zhe Zhang
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Zhiyao Wei
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Luyang Zhao
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Chenglei Gu
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
| | - Yuanguang Meng
- Department of Obstetrics and Gynecology, Seventh Medical Center of Chinese, PLA General Hospital, Beijing, P.R. China
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8
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Ma B, Wang S, Wu W, Shan P, Chen Y, Meng J, Xing L, Yun J, Hao L, Wang X, Li S, Guo Y. Mechanisms of circRNA/lncRNA-miRNA interactions and applications in disease and drug research. Biomed Pharmacother 2023; 162:114672. [PMID: 37060662 DOI: 10.1016/j.biopha.2023.114672] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/03/2023] [Accepted: 04/06/2023] [Indexed: 04/17/2023] Open
Abstract
In recent years, breakthroughs in bioinformatics have been made with the discovery of many functionally significant non-coding RNAs (ncRNAs). The discovery of these ncRNAs has further demonstrated the multi-level characteristics of intracellular gene expression regulation, which plays an important role in assisting diagnosis, guiding clinical drug use and determining prognosis in the treatment process of various diseases. microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) are the three major types of ncRNAs that interact with each other. Studies have shown that lncRNAs and circRNAs can sponge miRNAs, thereby influencing normal physiological processes and regulating mRNA expression and, thus, the physiological state of cells. This paper summarizes the mechanism of action and research progress of the three ncRNA and seven types of modalities. This summary is intended to provide new ideas for diagnosing and treating diseases and researching and developing new drugs.
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Affiliation(s)
- Benchi Ma
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Shihao Wang
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Wenzheng Wu
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Pufan Shan
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Yufan Chen
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Jiaqi Meng
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Liping Xing
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Jingyi Yun
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Longhui Hao
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China
| | - Xiaoyu Wang
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China.
| | - Shuyan Li
- College of Foreign Languages, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China.
| | - Yinghui Guo
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China; Laboratory of Liver Viscera-State & Syndrome of Emotional Disease, Shandong University of Traditional Chinese Medicine, Jinan 250000, PR China.
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9
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Liu M, Cao S, Guo Z, Wu Z, Meng J, Wu Y, Shao Y, Li Y. Roles and mechanisms of CircRNAs in ovarian cancer. Front Cell Dev Biol 2022; 10:1044897. [PMID: 36506086 PMCID: PMC9727202 DOI: 10.3389/fcell.2022.1044897] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/09/2022] [Indexed: 11/24/2022] Open
Abstract
Ovarian cancer (OC) is one of the female malignancies with nearly 45% 5-year survival rate. Circular RNAs (circRNAs), a kind of single-stranded non-coding RNAs, are generated from the back-splicing of cellular housekeeping noncoding RNAs and precursor messenger RNAs. Recent studies revealed that circRNAs have different biological function, including sponging miRNAs, encoding micropeptides, regulating stability of cytoplasmic mRNAs, affecting transcription and splicing, via interacting with DNA, RNA and proteins. Due to their stability, circRNAs have the potential of acting as biomarkers and treatment targets. In this review, we briefly illustrate the biogenesis mechanism and biological function of circRNAs in OC, and make a perspective of circRNAs drug targeting immune responses and signaling pathways in OC. This article can provide a systematic view into the current situation and future of circRNAs in OC.
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Affiliation(s)
- Min Liu
- Lab for Noncoding RNA and Cancer, School of Life Sciences, Shanghai University, Shanghai, China
| | - Siyu Cao
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ziyi Guo
- Lab for Noncoding RNA and Cancer, School of Life Sciences, Shanghai University, Shanghai, China
| | - Zong Wu
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiao Meng
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yong Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China,*Correspondence: Yong Wu, ; Yang Shao, ; Yanli Li,
| | - Yang Shao
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China,*Correspondence: Yong Wu, ; Yang Shao, ; Yanli Li,
| | - Yanli Li
- Lab for Noncoding RNA and Cancer, School of Life Sciences, Shanghai University, Shanghai, China,*Correspondence: Yong Wu, ; Yang Shao, ; Yanli Li,
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10
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Circular RNAs in Epithelial Ovarian Cancer: From Biomarkers to Therapeutic Targets. Cancers (Basel) 2022; 14:cancers14225711. [PMID: 36428803 PMCID: PMC9688053 DOI: 10.3390/cancers14225711] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/24/2022] Open
Abstract
Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer, and more than 70% of patients are diagnosed at advanced stages. Despite the application of surgery and chemotherapy, the prognosis remains poor due to the high relapse rate. It is urgent to identify novel biomarkers and develop novel therapeutic strategies for EOC. Circular RNAs (circRNAs) are a class of noncoding RNAs generated from the "back-splicing" of precursor mRNA. CircRNAs exert their functions via several mechanisms, including acting as miRNA sponges, interacting with proteins, regulating transcription, and encoding functional proteins. Recent studies have identified many circRNAs that are dysregulated in EOC and may be used as diagnostic and prognostic markers. Increasing evidence has revealed that circRNAs play a critical role in ovarian cancer progression by regulating various cellular processes, including proliferation, apoptosis, metastasis, and chemosensitivity. The circRNA-based therapy may be a novel strategy that is worth exploring in the future. Here, we provide an overview of EOC and circRNA biogenesis and functions. We then discuss the dysregulations of circRNAs in EOC and the possibility of using them as diagnostic/prognostic markers. We also summarize the role of circRNAs in regulating ovarian cancer development and speculate their potential as therapeutic targets.
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11
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Qin S, Zhang Q, Xu Y, Ma S, Wang T, Huang Y, Ju S. m 6A-modified circRNAs: detections, mechanisms, and prospects in cancers. Mol Med 2022; 28:79. [PMID: 35836125 PMCID: PMC9284916 DOI: 10.1186/s10020-022-00505-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 06/30/2022] [Indexed: 12/15/2022] Open
Abstract
Circular RNAs (circRNAs) have become a research hotspot in recent years with their universality, diversity, stability, conservativeness, and spatiotemporal specificity. N6-methyladenosine (m6A), the most abundant modification in the eukaryotic cells, is engaged in the pathophysiological processes of various diseases. An increasing amount of evidence has suggested that m6A modification is common in circRNAs and is associated with their biological functions. This review summarizes the effects of m6A modification on circRNAs and their regulation mechanisms in cancers, providing some suggestions of m6A-modified circRNAs in cancer therapy.
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Affiliation(s)
- Shiyi Qin
- Medical School of Nantong University, Nantong University, No. 19, Qixiu Road, Nantong, 226001, Jiangsu, China.,Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Qi Zhang
- Medical School of Nantong University, Nantong University, No. 19, Qixiu Road, Nantong, 226001, Jiangsu, China.,Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Yanhua Xu
- Medical School of Nantong University, Nantong University, No. 19, Qixiu Road, Nantong, 226001, Jiangsu, China.,Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Shuo Ma
- Medical School of Nantong University, Nantong University, No. 19, Qixiu Road, Nantong, 226001, Jiangsu, China.,Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Tianyi Wang
- Medical School of Nantong University, Nantong University, No. 19, Qixiu Road, Nantong, 226001, Jiangsu, China.,Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Yuejiao Huang
- Medical School of Nantong University, Nantong University, No. 19, Qixiu Road, Nantong, 226001, Jiangsu, China. .,Department of Medical Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, 226001, Jiangsu, China. .,Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.
| | - Shaoqing Ju
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.
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