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Profiling of Ovarian Cancer Reveals Common Features Shared by Sub-types of Ovarian Cancer: A network biology approach towards finding therapeutic drug targets

机译:卵巢癌的谱分析揭示了卵巢癌亚型共享的常见特征:一种朝向治疗药物目标的网络生物学方法

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Ovarian cancer is the most lethal gynecological cancer affecting women and hence an important public health issue. Identifying the underlying biology and neoplastic progression of ovarian cancer is very important to understand and advancing the treatment of the disease. The aim of this study is to identify the crucial genes which are common in all the cases of ovarian cancer irrespective of their subtypes, suggesting essential neoplastic progression and the common molecular mechanism through which cancer cells progress. These genes might prove to be good therapeutic drug targets. Our analysis revealed 320 genes, which functionally interacted among different subtypes of epithelial ovarian cancer. JUN, FOS, MYC, STAT5B, NR3C1, KRAS, PNN, SFN, SMARCA4, GSK3B, JUND, CAV1, and MAPK13 are genes played crucial role in ovarian cancer progression and thus can act as good therapeutic targets.
机译:卵巢癌是影响女性最致命的妇科癌症,因此是一个重要的公共卫生问题。鉴定卵巢癌的潜在生物学和肿瘤进展对于理解和推进疾病的治疗非常重要。本研究的目的是鉴定卵巢癌的所有病例中常见的关键基因,而不论其亚型,是否表明癌细胞进展的基本肿瘤进展和常见的分子机制。这些基因可能被证明是良好的治疗药物靶标。我们的分析显示了320个基因,在功能上与上皮性卵巢癌的不同亚型相互作用。 jun,fos,myc,stat5b,nr3c1,kras,pnn,sfn,smarca4,gsk3b,jund,cav1和mapk13是基因在卵巢癌进展中发挥着至关重要的作用,因此可以充当良好的治疗目标。

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