Identification of modules and hub genes associated with platinum-based chemotherapy resistance and treatment response in ovarian cancer by weighted gene co-expression network analysis

Identification of modules and hub genes associated with platinum-based chemotherapy resistance and treatment response in ovarian cancer by weighted gene co-expression network analysis
复制标题

通过加权基因共表达网络分析鉴定与卵巢癌铂类化疗耐药和治疗反应相关的模块和中心基因

DOI:
10.1097/md.0000000000017803
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发表时间:
2019-11-01
期刊:
影响因子:
1.6
通讯作者:
Zhang,Zhen
Zhang,Zhen
中科院分区:
医学4区
文献类型:
--
作者:
Zhang,Luoyan;Zhang,Xuejie;Zhang,Zhen

文献摘要

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摘要高级别浆液性卵巢癌(HGSOC)是最常见的恶性卵巢肿瘤。为了识别与铂类化疗耐药和敏感HGSOC相关的共表达模块和枢纽基因,我们对GSE 51373数据集的12个耐药样本和16个敏感样本的HGSOC微阵列数据进行加权基因共表达网络分析(WGCNA)。WGCNA共包含5122个基因,鉴定出16个模块。模块-性状分析确定,发现模块鲑鱼(cor = 0.50)、洋红(cor = 0.49)和黑色(cor = 0.45)与化疗抗性相关,并且在GSE 63885数据集中验证了这些铂抗性模块的显著性。      鉴于黑色模块被证实是最相关的一个模块,该模块的hub基因、乙醇脱氢酶1B、钙粘蛋白11和残留样家族成员3的表达与铂类耐药相关,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和治疗反应的分子机制提供见解。
Supplemental Digital Content is available in the text Abstract 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.