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一项综合的多学科分析确定了与癌症相关的纤维细胞和结直肠癌的干预目标的强大评分系统

Feng Wang¹, Zhenlin Li², Tianlei Xu³

¹Department of Gastrointestinal Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China. wfa02037@btch.edu.cn.

Journal of cancer research and clinical oncology

|March 13, 2024

概括

这项研究开发了一种基于癌症相关纤维细胞基因 (CAFGs) 的新型评分系统,以预测结直肠癌患者的结果和免疫治疗的反应. 在CAFGs得分有效地识别高风险患者和潜在的治疗目标.

科学领域:

在瘤学瘤学.
癌症生物学癌症生物学
免疫治疗是一种免疫疗法.

背景情况:

癌症相关纤维细胞 (CAF) 在瘤进展,转移和免疫逃避中至关重要.
关于CAF在结直肠癌 (CRC) 的临床应用的研究有限.

研究的目的:

在结直肠癌中开发和验证CAF相关基因 (CAFGs) 的临床评分系统.
调查CAFGs得分与瘤微环境和免疫治疗反应的预后价值和关联.

主要方法:

机器学习被用来从CRC中差异表达基因中识别CAF亚型.
使用多变量考克斯回归,开发了CAFGs评分系统.
使用功能丰富,生存分析,CMS分类,TIDE算法,单细胞转录组学和蛋白质组学.

主要成果:

确定了两个不同的CAF亚型,在瘤免疫力和预后方面存在显著差异.
该CAFGs得分与整体存活率低,无进展存活率,无疾病存活率和无复发存活率相关.
高CAFG得分表明抑制瘤的微环境,并预测免疫检查点阻塞 (ICB) 治疗的反应不佳.

结论:

建立了一个强大的CAFGs评分系统,对CRC具有临床意义.
已识别的FSTL1,IGFBP7和FBN1等分子是CRC患者潜在的治疗点.

关键词:

在 CAF 中,CAF 是 CAF.结肠直肠癌是一种癌症.生物标志物ICB反应的生物标志物预后预后预测预测

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The Tumor Microenvironment

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