Department of Gynecology and Obstetrics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Department of Gynecology and Obstetrics, Binzhou Medical University Hospital, Binzhou, China.
J Obstet Gynaecol Res. 2022 Jul;48(7):1848-1858. doi: 10.1111/jog.15265. Epub 2022 May 1.
Cervical squamous cell carcinoma (SCC) is one of the most frequent malignancies of the female reproductive system. The malignant mechanism of SCC has not been totally clarified. We aimed to discover a list of differentially expressed genes (DEGs) to identify the malignant mechanism of cervical SCC.
Three expression chips (GSE7803, GSE9750, and GSE64217) were downloaded from gene expression omnibus (GEO) datasets. After standardization, 50 cervical SCC tumor tissues and 33 normal cervical tissues (NCTs) were included for DEGs and clustering analysis. RobustRankAggreg (RRA) algorithm was used to extract the overlapping DEGs. Gene function and signaling pathway analysis was implemented based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway databases. Protein-protein interaction (PPI) analysis and prognostic analysis were also carried out to identify the DEGs as prognostic markers for cervical SCC.
Totally 100 DEGs were obtained from GSE7803, 319 DEGs from GSE9750, and 1639 DEGs from GSE64217. RRA analysis uncovered 17 upregulated DEGs and 25 downregulated DEGs. GO and KEGG analysis showed DEGs were involved in the mediation of extracellular functions, cell-cell interactions, and cell metabolism. PPI network showed a close interaction among the integrated DEGs. Prognostic analysis showed gene secreted phosphoprotein 1 (SPP1) and epiregulin (EREG) genes were independent prognostic predictors of cervical SCC.
The gene expression profile was changed in cervical SCC tumor tissues compared to NCTs. SPP1 and EREG were postulated as prognostic markers for cervical SCC, which might be potential targets for clinical therapy of cervical SCC.
宫颈鳞状细胞癌（SCC）是女性生殖系统最常见的恶性肿瘤之一。SCC 的恶性机制尚未完全阐明。本研究旨在发现一组差异表达基因（DEGs），以确定宫颈 SCC 的恶性机制。
从基因表达综合数据库（GEO）下载了三个表达谱芯片（GSE7803、GSE9750 和 GSE64217）。经过标准化处理，纳入了 50 例宫颈 SCC 肿瘤组织和 33 例正常宫颈组织（NCT）进行 DEGs 和聚类分析。采用 RobustRankAggreg（RRA）算法提取重叠 DEGs。基于基因本体论（GO）和京都基因与基因组百科全书（KEGG）通路数据库进行基因功能和信号通路分析。还进行了蛋白质-蛋白质相互作用（PPI）分析和预后分析，以确定 DEGs 作为宫颈 SCC 的预后标志物。
从 GSE7803 中获得了 100 个上调 DEGs、从 GSE9750 中获得了 319 个下调 DEGs、从 GSE64217 中获得了 1639 个 DEGs。RRA 分析揭示了 17 个上调 DEGs 和 25 个下调 DEGs。GO 和 KEGG 分析表明，DEGs 参与了细胞外功能、细胞-细胞相互作用和细胞代谢的调节。PPI 网络显示，整合的 DEGs 之间存在密切的相互作用。预后分析显示，基因分泌磷蛋白 1（SPP1）和表皮调节素（EREG）基因是宫颈 SCC 的独立预后预测因子。
与 NCT 相比，宫颈 SCC 肿瘤组织中的基因表达谱发生了改变。SPP1 和 EREG 被推测为宫颈 SCC 的预后标志物，它们可能是宫颈 SCC 临床治疗的潜在靶点。
