Identification of core aberrantly expressed microRNAs in serous ovarian carcinoma
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Steven F. Chen1, Zheng Liu1, Shyambabu Chaurasiya2, Thanh H. Dellinger2, Jianming Lu2, Xiwei Wu3, Hanjun Qin3, Jinhui Wang3, Yuman Fong2 and Yate-Ching Yuan1
1Bioinformatics Core, Beckman Research Institute, City of Hope, Duarte, California 91010, USA
2Department of Surgery, City of Hope National Medical Center, Duarte, California 91010, USA
3Integrative Genomics Core, Beckman Research Institute, City of Hope, Duarte, California 91010, USA
Yate-Ching Yuan, email: email@example.com
Yuman Fong, email: firstname.lastname@example.org
Keywords: microRNA; serous ovarian carcinoma; omentum; biomarker; small RNA sequencing
Received: December 27, 2017 Accepted: March 13, 2018 Published: April 17, 2018
MicroRNAs (miRNAs) have recently demonstrated great potential and enormous promise in the diagnosis, prognosis and therapy of various types of cancer. In this study, we performed a comprehensive miRNA expression analysis in the omental metastasis of serous ovarian carcinoma (SOC) using small RNA sequencing. Two hundred and fifty-one aberrantly expressed miRNAs were identified, which clearly separated malignant omentum from normal omentum. Furthermore, miRNA profiles in primary chemo-sensitive and chemo-resistant/refractory SOC were determined using publicly available data. Comparing miRNA expression profiles in omental metastases and primary chemo-sensitive and chemo-resistant/refractory tumors, a set of 70 miRNAs that were aberrantly expressed in both primary and metastatic SOC has been identified for the first time. These core aberrantly expressed miRNAs may play crucial roles in the tumorigenesis, growth, and metastasis of SOC. Therefore, they can serve as potential diagnostic biomarkers and as therapeutic targets for miRNA-mediated therapy. Kaplan–Meier overall survival analysis using The Cancer Genome Atlas data demonstrated that 10 miRNAs (hsa-miR-135, 150, -340, 625, 1908, 3187, -96, -196b, -449c, and -1275) were associated with survival of patients with SOC, which may serve as potential prognostic biomarkers.
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