Analysis of the circular RNA transcriptome in the grade 3 endometrial cancer
Authors Ye F, Tang QL, Ma F, Cai L, Chen M, Ran XX, Wang XY, Jiang XF
Received 6 December 2018
Accepted for publication 29 May 2019
Published 5 July 2019 Volume 2019:11 Pages 6215—6227
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Amy Norman
Peer reviewer comments 2
Editor who approved publication: Dr Rituraj Purohit
Fei Ye1,*, Qiong Lan Tang2,*, Fang Ma1,*, Lei Cai,1 Ming Chen,1 Xiao Xia Ran,1 Xiao Yu Wang,1 Xue Feng Jiang1
1Department of Obstetrics and Gynecology, The First Affiliated Hospital, Jinan University, Guangzhou 510630, People’s Republic of China; 2Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, People’s Republic of China
*These authors contributed equally to this work
Background/aims: Circular RNAs (circRNAs), a class of newly discovered endogenous noncoding RNAs, have shown large capabilities in gene regulation. Patients with the grade 3 endometrial cancer (EC) have a generally poor prognosis, and the specific role of circRNAs in the grade 3 EC remains unclear. This study aims to investigate the roles of circRNAs in the grade 3 EC.
Methods: In the current study, we screened the expression profiles of circRNAs taken from two women with the grade 3 EC and adjacent non-cancerous endometrial tissue using circRNAs sequencing. Bioinformatic analyses were applied to study these differentially expressed circRNAs. Quantitative reverse transcription polymerase chain reaction (qRT‐PCR) of six dysregulated circRNAs was performed to validate the sequencing results. Bioinformatic analyses, including the negative correlation network analyses of circRNAs–microRNAs (miRNAs)–messenger RNAs (mRNAs) and the Cytoscape, were used to delineate the interaction of circRNAs/miRNAs of the entire network.
Results: Data of circRNA sequencing showed a significant change in 75,928 unique circRNAs (P<0.05). The upregulated hsa_circ_0039569 and hsa_circ_0001610 and downregulated hsa_circ_0000437, hsa_circ_0001776, and hsa_circ_0009043 were validated by qRT-PCR analysis. Using bioinformatical methods, we found that hsa_circ_0039569 has the MRE of hsa-miR-542-3p and hsa-let-7c-5p. Hsa-miR-542-3p and hsa-let-7c-5p were downregulated in the grade 3 EC validated by qRT-PCR analysis. In the clinicopathological parameters, the expression level of hsa_circ_0039569 was significantly correlated with tumor differentiation (P=0.001).
Conclusion: This is the first study demonstrated that there were a lot of differences between the tissue of the grade 3 EC and adjacent non-cancerous endometrial in circRNA expression and may offer novel molecular candidates for diagnosis and clinical treatment of the grade 3 EC.
Keywords: grade 3 endometrial cancer, circRNAs, transcriptome, RNA-Seq
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