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) 是最常见和最恶性的卵巢肿瘤。为了确定与铂类化疗耐药和敏感的HGSOC相关的共表达模块和hub基因,我们对HGSOC的微阵列数据进行了加权基因共表达网络分析 (WGCNA),其中GSE51373数据集的12个耐药样品和16个敏感样品。WGCNA共包含5122个基因,并鉴定了16个模块。模块-性状分析发现模块鲑鱼 (cor  =   0.50) 、品红色 (cor  =   0.49) 和黑色 (cor  =   0.45) 与化疗耐药相关,并在GSE63885数据集验证了这些耐铂模块的意义。鉴于黑色模块被证实是最相关的一个,该模块的中枢基因,乙醇脱氢酶1B,钙粘蛋白11和残留样家族成员3被发现与铂类抗性表达相关,并可作为卵巢癌的预后指标,我们的分析可能为卵巢癌铂类化疗耐药的分子机制和治疗反应提供深入的研究。

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