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Circular RNA profiling reveals circRNA1656 as a novel biomarker in high grade serous ovarian cancer.
Biosci Trends 2019; 13(2):204-211BT

Abstract

Circular RNA (circRNA) is a class of endogenous non-coding RNAs that are closely related to the pathogenesis of many human diseases, particularly cancer. However, the characterization of circRNAs in high-grade serous ovarian cancer (HGSOC) remains unknown. This study aimed to investigate the expression profile of circRNAs in HGSOC. Expression profiles of circRNAs differential expression based on circRNAs High-throughput sequencing were identified in 3 HGSOC specimens and 3 normal ovarian tissues. A total of 710 differentially expressed circRNAs were found (354 expressions up-regulated and 356 expressions down-regulated). CircRNA sequencing data were verified by qRT-PCR in HGSOC tissue and benign ovarian lesions. Differential expression of 7 circRNAs (circRNA385, circRNA2058, circRNA3336, circRNA2606, circRNA1656, circRNA1312 and circRNA7474) in HGSOC tissue was confirmed by qRT-PCR. Among them, circRNA1656 showed the highest fold change. qRT-PCR was used to verify the expression of circRNA1656 in ovarian cancer cell lines. In order to analyze the relationship between circRNA1656 expression and clinical pathological biological characteristics of HGSOC, qRT-PCR was used to verify the expression of circRNA1656 in 60 HGSOC tissues compared with 60 benign ovarian lesions. The expression of circRNA1656 was down-regulated in HGSOC tissues and ovarian cancer cell lines, and correlated with the FIGO stage of HGSOC. circRNA1656 has the potential to serve as a novel tumor marker for HGSOC.

Authors+Show Affiliations

Department of Gynecology and Obstetrics, Shengjing Hospital Affiliated of China Medical University. Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute.Department of Gynecology and Obstetrics, Shengjing Hospital Affiliated of China Medical University.Department of Gynecology and Obstetrics, Shengjing Hospital Affiliated of China Medical University.Department of Gynecology and Obstetrics, Shengjing Hospital Affiliated of China Medical University.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31019161

Citation

Gao, Yan, et al. "Circular RNA Profiling Reveals circRNA1656 as a Novel Biomarker in High Grade Serous Ovarian Cancer." Bioscience Trends, vol. 13, no. 2, 2019, pp. 204-211.
Gao Y, Zhang C, Liu Y, et al. Circular RNA profiling reveals circRNA1656 as a novel biomarker in high grade serous ovarian cancer. Biosci Trends. 2019;13(2):204-211.
Gao, Y., Zhang, C., Liu, Y., & Wang, M. (2019). Circular RNA profiling reveals circRNA1656 as a novel biomarker in high grade serous ovarian cancer. Bioscience Trends, 13(2), pp. 204-211. doi:10.5582/bst.2019.01021.
Gao Y, et al. Circular RNA Profiling Reveals circRNA1656 as a Novel Biomarker in High Grade Serous Ovarian Cancer. Biosci Trends. 2019 May 12;13(2):204-211. PubMed PMID: 31019161.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Circular RNA profiling reveals circRNA1656 as a novel biomarker in high grade serous ovarian cancer. AU - Gao,Yan, AU - Zhang,Chuanqi, AU - Liu,Yisi, AU - Wang,Min, Y1 - 2019/04/24/ PY - 2019/4/26/pubmed PY - 2019/8/31/medline PY - 2019/4/26/entrez KW - HGSOC KW - High-throughput sequencing KW - circRNA1656 KW - circular RNA KW - circular RNA profile KW - ovarian cancer SP - 204 EP - 211 JF - Bioscience trends JO - Biosci Trends VL - 13 IS - 2 N2 - Circular RNA (circRNA) is a class of endogenous non-coding RNAs that are closely related to the pathogenesis of many human diseases, particularly cancer. However, the characterization of circRNAs in high-grade serous ovarian cancer (HGSOC) remains unknown. This study aimed to investigate the expression profile of circRNAs in HGSOC. Expression profiles of circRNAs differential expression based on circRNAs High-throughput sequencing were identified in 3 HGSOC specimens and 3 normal ovarian tissues. A total of 710 differentially expressed circRNAs were found (354 expressions up-regulated and 356 expressions down-regulated). CircRNA sequencing data were verified by qRT-PCR in HGSOC tissue and benign ovarian lesions. Differential expression of 7 circRNAs (circRNA385, circRNA2058, circRNA3336, circRNA2606, circRNA1656, circRNA1312 and circRNA7474) in HGSOC tissue was confirmed by qRT-PCR. Among them, circRNA1656 showed the highest fold change. qRT-PCR was used to verify the expression of circRNA1656 in ovarian cancer cell lines. In order to analyze the relationship between circRNA1656 expression and clinical pathological biological characteristics of HGSOC, qRT-PCR was used to verify the expression of circRNA1656 in 60 HGSOC tissues compared with 60 benign ovarian lesions. The expression of circRNA1656 was down-regulated in HGSOC tissues and ovarian cancer cell lines, and correlated with the FIGO stage of HGSOC. circRNA1656 has the potential to serve as a novel tumor marker for HGSOC. SN - 1881-7823 UR - https://www.unboundmedicine.com/medline/citation/31019161/Circular_RNA_profiling_reveals_circRNA1656_as_a_novel_biomarker_in_high_grade_serous_ovarian_cancer_ L2 - https://dx.doi.org/10.5582/bst.2019.01021 DB - PRIME DP - Unbound Medicine ER -