High-grade serous ovarian carcinoma (HGSOC) is the most prevalent and malignant ovarian tumor.To identify co-expression modules and hub genes correlated with platinum-based chemotherapy resistant and sensitive HGSOC, we performed weighted gene co-expression network analysis (WGCNA) on microarray data of HGSOC with 12 resistant samples and 16 sensitive samples of GSE51373 dataset.A total of 5122 genes were included in WGCNA, and 16 modules were identified. Module-trait analysis identified that the module salmon (cor = 0.50), magenta (cor = 0.49), and black (cor = 0.45) were discovered associated with chemotherapy resistant, and the significance for these platinum-resistant modules were validated in the GSE63885 dataset. Given that the black module was validated to be the most related one, hub genes of this module, alcohol dehydrogenase 1B, cadherin 11, and vestigial like family member 3were revealed to be expressional related with platinum resistance, and could serve as prognostic markers for ovarian cancer.Our analysis might provide insight for molecular mechanisms of platinum-based chemotherapy resistance and treatment response in ovarian cancer.

译文

高级别浆液性卵巢癌(HGSOC)是最普遍,最恶性的卵巢肿瘤。为鉴定与铂类化疗耐药和敏感性HGSOC相关的共表达模块和中枢基因,我们进行了加权基因共表达网络分析(WGCNA) )在HGSOC的微阵列数据上,包含GSE51373数据集的12个抗性样品和16个敏感样品.WGCNA中总共包含5122个基因,并鉴定了16个模块。组件特征分析确定发现组件鲑鱼(cor = 0.50),品红色(cor = 0.49)和黑色(cor = 0.45)与耐化学药品性相关,并且在GSE63885中验证了这些耐铂金组件的重要性。数据集。假设黑色模块已被证实是最相关的模块,则该模块的中枢基因,乙醇脱氢酶1B,钙黏着蛋白11和类似家族成员3的残留基因被发现与铂耐药相关,并且可以作为卵巢癌的预后标志物我们的分析可能会为卵巢癌基于铂的化学疗法耐药性和治疗反应的分子机制提供深刻见解。

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