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肺腺癌与衰老相关的基因预后模型:洞察瘤微环境和治疗影响

Jin Wang¹, Hailong Zhang¹, Yaohui Feng¹

¹Department of Toxicology, School of Public Health, Suzhou Medicine College of Soochow University, Suzhou 215123, China.

International journal of molecular sciences

|January 8, 2025

概括

这项研究开发了一种新的肺腺癌 (LUAD) 预后模型,使用与衰老相关的基因 (ARG) 来预测患者的生存率并了解瘤微环境. 该模型显示了改善LUAD诊断和治疗策略的前景.

科学领域:

在瘤学瘤学.
遗传学遗传学是一个
生物信息学是一种生物信息学.

背景情况:

肺癌,特别是肺腺癌 (LUAD),是全球癌症死亡的主要原因.
晚期诊断和有限的治疗选择导致患者预后不佳.
需要先进的预后工具来改善LUAD预测和治疗.

研究的目的:

根据与衰老相关的基因 (ARG) 开发和验证LUAD的预后模型.
评估模型的预测性能及其与瘤微环境的相关性.
研究XRCC6在LUAD生物学中的作用及其治疗潜力.

主要方法:

利用了癌症基因组图谱 (TCGA) 和基因表达总汇 (GEO) 数据集.
开发了一个综合14个ARG使用LASSO和考克斯回归的预后模型.
进行了XRCC6.6的内部和外部验证和功能测试.

主要成果:

基于ARG的模型显示出强大的预测性能 (AUC>0.8为一年生存).
风险得分与瘤微环境特征有显著的相关性,包括与癌症相关的纤维细胞 (CAF) 和免疫逃避标记.
在LUAD中观察到XRCC6的上调;它的淘汰减少了增殖,而过度表达减轻了DNA损伤.

结论:

已经建立了一个基于ARG的LUAD新型预后模型,为瘤动态提供了洞察力.
该模型强调了ARG,瘤微环境和LUAD中的免疫抑制之间的联系.
XRCC6为LUAD提供了潜在的治疗点,需要进一步研究.

关键词:

在XRCC6中使用.老化的老化衰老的老化细胞衰老细胞衰老肺部腺癌的癌症.预测模型的预测模型.

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