铁死亡相关基因的卵巢癌患者生存预测模型

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摘要目的探究铁死亡相关基因在卵巢癌中的预后价值。方法本研究从公共数据库GEO中下载了卵巢癌患者的mRNA表达谱及相应的临床数据,使用Cox回归模型在GEO人群中构建铁死亡相关多基因预后模型,使用TCGA数据库的卵巢癌患者用于验证,用KEGG和GO功能分析模型中基因设计的免疫通路和功能。结果大多数与铁死亡相关的基因在GEO队列中的卵巢癌和癌旁正常组织之间有差异表达。构建了一个具有9个基因的预后相关Cox回归模型,将患者分为两个风险组。与低风险组相比,高风险组患者的总生存期显著降低(P<0.001)。模型的1年生存时间的曲线下面积(AUC)为0.842,证实了其有较好的预测能力。KEGG和GO功能分析表明,这9个铁死亡相关基因与免疫相关的途径很多,涉及离子结合、细胞代谢的调控等生物过程以及蛋白聚糖在癌症中、内质网中蛋白质加工、Th17细胞分化、小细胞肺癌、Th1和Th2细胞分化、脂肪细胞因子等途径。结论这种新型与铁死亡相关基因模型可以用于铁死亡的预后预测,铁死亡靶向治疗可能是卵巢癌潜在治疗方式。

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	李勇
	廖莎

关键词 ：铁死亡, 卵巢癌, 预后, 模型

收稿日期: 2021-01-13

ZTFLH:	R17
	R71

基金资助:湖南省卫计委科研计划课题(20200750;20200598)

通讯作者: 廖莎(ls13307319521@163.com)

引用本文:

李勇, 廖莎. 铁死亡相关基因的卵巢癌患者生存预测模型[J]. 中国生育健康杂志, 2023, 34(1): 83-89.

链接本文:

http://cjrh.bjmu.edu.cn/CN/ 或 http://cjrh.bjmu.edu.cn/CN/Y2023/V34/I1/83

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