Dai Qinjin, Ye Ying
Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Front Cell Dev Biol. 2022 Feb 18;10:793425. doi: 10.3389/fcell.2022.793425. eCollection 2022.
Histone acetylation is one of the most common epigenetic modifications, which plays an important role in tumorigenesis. However, the prognostic role of histone acetylation-regulators in ovarian cancer (OC) remains little known. We compared the expression levels of 40 histone acetylation-related genes between 379 OC samples and 88 normal ovarian tissues and identified 37 differently expressed genes (DEGs). We further explored the prognostic roles of these DEGs, and 8 genes were found to be correlated with overall survival ( < 0.1). In the training stage, an 8 gene-based signature was conducted by the least absolute shrinkage and selector operator (LASSO) Cox regression. Patients in the training cohort were divided into two risk subgroups according to the risk score calculated by the 8-gene signature, and a notable difference of OS was found between the two subgroups ( < 0.001). The 8-gene risk model was then verified to have a well predictive role on OS in the external validation cohort. Combined with the clinical characteristics, the risk score was proved to be an independent risk factor for OS. In conclusion, the histone acetylation-based gene signature has a well predictive effect on the prognosis of OC and can potentially be applied for clinical treatments.
组蛋白乙酰化是最常见的表观遗传修饰之一，在肿瘤发生中起重要作用。然而，组蛋白乙酰化调节因子在卵巢癌（OC）中的预后作用仍鲜为人知。我们比较了379个OC样本和88个正常卵巢组织中40个组蛋白乙酰化相关基因的表达水平，鉴定出37个差异表达基因（DEGs）。我们进一步探讨了这些DEGs的预后作用，发现8个基因与总生存期相关（<0.1）。在训练阶段，通过最小绝对收缩和选择算子（LASSO）Cox回归构建了基于8个基因的特征。根据由8基因特征计算出的风险评分，将训练队列中的患者分为两个风险亚组，发现两个亚组之间的总生存期存在显著差异（<0.001）。然后在外部验证队列中验证了8基因风险模型对总生存期具有良好的预测作用。结合临床特征，风险评分被证明是总生存期的独立危险因素。总之，基于组蛋白乙酰化的基因特征对OC的预后具有良好的预测作用，并且有可能应用于临床治疗。
