Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan.
School of Medicine, National Yang-Ming University, Taipei 112, Taiwan.
Int J Environ Res Public Health. 2020 Jun 2;17(11):3951. doi: 10.3390/ijerph17113951.
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.
卵巢透明细胞癌（ovarian clear cell carcinoma (OCCC)）是一种上皮性卵巢癌，由于发病机制不明，其预后较差，且治疗耐药倾向明显。已发表的 OCCC 研究主要集中在单个基因上，缺乏系统的综合研究来从全基因组角度分析 OCCC 的发病机制。因此，我们使用公共领域数据库中的转录组数据集进行了综合分析，以确定可能参与 OCCC 癌变发病机制的基因。我们使用了从美国国立生物技术信息中心 (National Center for Biotechnology Information, NCBI) 基因表达综合数据库 (Gene Expression Omnibus, GEO) 数据集中获得的数据。我们在 OCCC 的发病机制网络中发现了六个相互作用的功能基因簇，包括核糖体蛋白、真核翻译起始因子、乳酸盐、前列腺素、蛋白酶体和胰岛素样生长因子。我们的综合分析结果为我们提供了对 OCCC 发病机制相互作用网络的全面了解。
