The objective of this study was to identify differentially expressed genes and their potential influence on the carcinogenesis of serous-type ovarian cancer tumors. Serous cancer is an epithelial ovarian cancer subtype and is the most common type of ovarian cancer. Transcriptomic profiles of serous cancer and non-cancerous datasets were obtained from the Gene Expression Omnibus (GEO-NCBI). Differentially expressed genes were then derived from those profiles; the identified genes were consistently upregulated in three or more transcriptomic profiles. These genes were considered as the serous ovarian cancer gene set for further study. The serous gene set derived from the transcriptomic profiles was then evaluated for ontological functional analysis using the Molecular Signatures Database. Next, we examined the mutational impact of this serous gene set on the transcriptomic profile of high-grade serous ovarian (HGSO) adenocarcinoma using the cBioPortal database. Results from OncoPrint revealed that 26 genes were amplified in more than 5% of HGSO cancer patients. Interestingly, several of these genes are involved in cell cycle processes, including genes ATPase family AAA domain containing 2 (ATAD2), recQ-like helicase 4 (RECQL4), cyclin E1 (CCNE1), anti-silencing function 1B histone chaperone (ASF1B), ribonuclease H2 subunit A (RNASEH2A), structural maintenance of chromosome 4 (SMC4), cell division cycle associated 20 (CDC20), and cell division cycle associated 8 (CDCA8). The receiver operating characteristic (ROC) curve results also revealed higher specificity and sensitivity for this subtype of tumors. Furthermore, these genes may affect the recurrence of serous ovarian carcinogenesis. Overall, our analytical study identifies cell cycle-related genes that can potentially be targeted as diagnostic and prognostic markers for serous ovarian cancer.
本研究旨在识别差异表达基因及其对浆液性卵巢癌肿瘤发生过程的潜在影响。浆液性癌是上皮性卵巢癌的亚型，也是最常见的卵巢癌类型。我们从基因表达综合数据库（GEO-NCBI）获取了浆液性癌组织与非癌组织的转录组数据。通过对比分析获得差异表达基因，这些基因在三个及以上转录组谱中持续上调表达，被确定为浆液性卵巢癌基因集用于后续研究。利用分子特征数据库对该基因集进行本体功能分析后，我们通过cBioPortal数据库进一步考察了该基因集的突变对高级别浆液性卵巢腺癌（HGSO）转录组特征的影响。OncoPrint分析结果显示，26个基因在超过5%的HGSO患者中存在扩增现象。值得注意的是，其中多个基因参与细胞周期调控过程，包括ATAD2、RECQL4、CCNE1、ASF1B、RNASEH2A、SMC4、CDC20和CDCA8等基因。受试者工作特征（ROC）曲线分析显示该肿瘤亚型具有更高的特异性和敏感性。此外，这些基因可能影响浆液性卵巢癌的复发进程。总体而言，本分析研究鉴定出的细胞周期相关基因，有望作为浆液性卵巢癌诊断和预后的潜在生物标志物。
Amplified Cell Cycle Genes Identified in High-Grade Serous Ovarian Cancer
肿瘤(癌症)患者之家