巨相关的基因签名用于预测肺腺癌的预后和免疫治疗,通过机器学习和生物信息学
Yunzhi Xiang1, Guanghui Wang1, Baoliang Liu1
1Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.
Journal of inflammation research
|February 13, 2024
概括
这项研究开发了基于瘤透巨细胞的12基因特征,以预测肺腺癌 (LUAD) 患者的结果和免疫治疗反应. 签名,包括TRIM28,显示了作为LUAD治疗生物标志物的潜力.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
背景情况:
- 肺腺癌 (LUAD) 的免疫治疗显示出可变的疗效,具有有限的预测生物标志物.
- 瘤透巨细胞在LUAD进展和治疗反应中发挥着重要作用.
- 需要新的分子标记物来更好地预测LUAD患者的结果和免疫疗法的疗效.
研究的目的:
- 在LUAD中构建与巨相关的分子亚型.
- 开发和验证一种新的基因特征,用于预测LUAD预后和免疫治疗反应.
- 研究TRIM28在LUAD进展中的作用.
主要方法:
- 非负矩阵因子化 (NMF) 和考克斯回归确定了LUAD亚型和12个基因签名.
- 该基因签名使用基因表达集 (GEO) 数据集进行了验证.
- 进行了体外实验,以探索TRIM28在LUAD中的功能.
主要成果:
- 在LUAD患者中,较高的肺巨细胞签名 (LMS) 评分与晚期瘤阶段,等级和较差的存活率相关.
- LMS得分独立预测了整体存活率 (OS),并确定了免疫治疗反应更好的患者 (低LMS得分).
- 签名中的关键基因TRIM28促进了LUAD细胞的增殖,入侵和迁移.
结论:
- 开发的基因特征有效地预测了LUAD的预后和免疫治疗疗效.
- TRIM28被确定为指导LUAD治疗策略的潜在生物标志物.
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