Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes

Yueh-Han Hsu, Peng-Hui Wang and Chia-Ming Chang
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Yueh-Han Hsu: Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan
Peng-Hui Wang: Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan
Chia-Ming Chang: Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan

IJERPH, 2020, vol. 17, issue 11, 1-17

Abstract: Clear cell carcinoma of the ovary (ovarian clear cell carcinoma (OCCC)) is one epithelial ovarian carcinoma that is known to have a poor prognosis and a tendency for being refractory to treatment due to unclear pathogenesis. Published investigations of OCCC have mainly focused only on individual genes and lack of systematic integrated research to analyze the pathogenesis of OCCC in a genome-wide perspective. Thus, we conducted an integrated analysis using transcriptome datasets from a public domain database to determine genes that may be implicated in the pathogenesis involved in OCCC carcinogenesis. We used the data obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) DataSets. We found six interactive functional gene clusters in the pathogenesis network of OCCC, including ribosomal protein, eukaryotic translation initiation factors, lactate, prostaglandin, proteasome, and insulin-like growth factor. This finding from our integrated analysis affords us a global understanding of the interactive network of OCCC pathogenesis.

Keywords: ovarian clear cell carcinoma; microarray; ribosomal protein; eukaryotic translation initiation factors; lactate; prostaglandin; proteasome; insulin-like growth factor (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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