肺腺癌中的基于五种原的风险模型:预后意义和免疫格局
Lingjun Dong1, Linhai Fu1, Ting Zhu1
1Department of Thoracic Surgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Frontiers in oncology
|July 21, 2023
概括
这项研究确定了原基因特征,以预测肺腺癌 (LUAD) 患者的结果. 开发的原风险模型为瘤微环境提供了洞察力,并有助于个性化LUAD治疗策略.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物化学 生物化学
背景情况:
- 原在瘤微环境 (TME) 和癌症纤维化中的作用是显著的.
- 肺腺癌 (LUAD) 中原家族基因的表达特征和临床相关性仍未得到充分研究.
研究的目的:
- 为了研究LUAD中的原基因家族表达.
- 开发基于原基因的LUAD预后预测特征.
主要方法:
- 使用癌症基因组图集 (TCGA) 进行培训和基因表达总汇 (GEO) 进行验证.
- 使用LASSO Cox,单变量/多变量考克斯回归来构建一个使用五个原基因 (COL1A1,COL4A3,COL5A1,COL11A1,COL22A1) 的预测模型.
- 执行了卡普兰-梅尔生存分析,基因本体学 (GO),基因和基因组的京都百科全书 (KEGG) 和基因组丰富分析 (GSEA).
主要成果:
- 开发了一种五基因原体特征 (原体风险评分),有效地将LUAD患者分为高风险和低风险组.
- 这种特征表现出强大的预后能力,并与细胞外矩阵组织,ECM受体相互作用和PI3K-Akt/AGE-RAGE信号传递有关.
- 高风险组显示了激活的p53通路,细胞循环,改变的免疫细胞透,瘤相关的巨细胞 (TAM) 两极化,以及与免疫检查点 (ICPs) 的关联,瘤突变负担 (TMB) 和瘤纯度.
结论:
- 基于TME内的原基因构建了一个可靠的预后模型,用于LUAD.
- 这种原风险模型为LUAD患者提供了个性化的治疗策略.
- 这些发现强调了原基因作为LUAD预后和治疗向生物标志物的潜力.
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