Department of Obstetrics and Gynecology, The Second Affiliated Hospital of University of South China, University of South China, Hengyang, Hunan, China.
Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, Cancer Research Institute, University of South China, Hengyang, Hunan, China.
J Ovarian Res. 2022 Feb 28;15(1):30. doi: 10.1186/s13048-022-00962-w.
Accumulating evidence suggests a strong association between polycystic ovary syndrome (PCOS) and ovarian cancer (OC), but the potential molecular mechanism remains unclear. In this study, we identified previously unrecognized genes that are significantly correlated with PCOS and OC via bioinformatics.
Multiple bioinformatic analyses, such as differential expression analysis, univariate Cox analysis, functional and pathway enrichment analysis, protein-protein interaction (PPI) network construction, survival analysis, and immune infiltration analysis, were utilized. We further evaluated the effect of OGN on FSHR expression via immunofluorescence.
TCGA-OC, GSE140082 (for OC) and GSE34526 (for PCOS) datasets were downloaded. Twelve genes, including RNF144B, LPAR3, CRISPLD2, JCHAIN, OR7E14P, IL27RA, PTPRD, STAT1, NR4A1, OGN, GALNT6 and CXCL11, were identified as signature genes. Drug sensitivity analysis showed that OGN might represent a hub gene in the progression of PCOS and OC. Experimental analysis found that OGN could increase FSHR expression, indicating that OGN could regulate the hormonal response in PCOS and OC. Furthermore, correlation analysis indicated that OGN function might be closely related to m6A and ferroptosis.
Our study identified a 12-gene signature that might be involved in the prognostic significance of OC. Furthermore, the hub gene OGN represent a significant gene involved in OC and PCOS progression by regulating the hormonal response.
越来越多的证据表明多囊卵巢综合征（PCOS）与卵巢癌（OC）之间存在密切关联，但潜在的分子机制尚不清楚。在这项研究中，我们通过生物信息学鉴定了与 PCOS 和 OC 显著相关的先前未被识别的基因。
我们进行了多种生物信息学分析，包括差异表达分析、单变量 Cox 分析、功能和通路富集分析、蛋白质-蛋白质相互作用（PPI）网络构建、生存分析和免疫浸润分析。我们进一步通过免疫荧光评估了 OG 对 FSHR 表达的影响。
我们下载了 TCGA-OC、GSE140082（用于 OC）和 GSE34526（用于 PCOS）数据集。鉴定出 12 个基因，包括 RNF144B、LPAR3、CRISPLD2、JCHAIN、OR7E14P、IL27RA、PTPRD、STAT1、NR4A1、OGN、GALNT6 和 CXCL11，这些基因被确定为特征基因。药物敏感性分析表明，OGN 可能是 PCOS 和 OC 进展中的关键基因。实验分析发现，OGN 可以增加 FSHR 的表达，表明 OGN 可以调节 PCOS 和 OC 中的激素反应。此外，相关性分析表明，OGN 的功能可能与 m6A 和铁死亡密切相关。
我们的研究确定了一个 12 基因特征，可能与 OC 的预后意义有关。此外，关键基因 OGN 通过调节激素反应，代表了 OC 和 PCOS 进展中一个重要的基因。
