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用于结肠癌预后、肿瘤免疫微环境评估及候选药物开发的线粒体相关基因特征的综合分析

Comprehensive analysis of mitochondrial-related gene signature for prognosis, tumor immune microenvironment evaluation, and candidate drug development in colon cancer.

作者信息

Wu Hao, Zhang Wentao, Chang Jingjia, Wu Jin, Zhang Xintong, Jia Fengfeng, Li Li, Liu Ming, Zhu Jianjun

机构信息

Department of Medical Cell Biology and Genetics, School of Basic Medical Science, Shanxi Medical University, Taiyuan, 030001, China.

Department of Molecular & Cellular Biology, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.

出版信息

Sci Rep. 2025 Feb 20;15(1):6173. doi: 10.1038/s41598-024-85035-2.

Abstract

Colon adenocarcinoma (COAD), a common digestive system malignancy, involves crucial alterations in mitochondria-related genes influencing tumor growth, metastasis, and immune evasion. Despite limited studies on prognostic models for these genes in COAD, we established a mitochondrial-related risk prognostic model, including nine genes based on available TCGA and MitoCarta 3.0 databases, and validated its predictive power. We investigated the tumor microenvironment (TME), immune cell infiltration, complex cell communication, tumor mutation burden, and drug sensitivity of COAD patients using R language, CellChat, and additional bioinformatic tools from single-cell and bulk-tissue sequencing data. The risk model revealed significant differences in immune cell infiltration between high-risk and low-risk groups, with the strongest correlation found between tissue stem cells and macrophages in COAD. The risk score exhibited a robust correlation with TME signature genes and immune checkpoint molecules. Integrating the risk score with the immune score, microsatellite status, or TMB through TIDE analysis enhanced the accuracy of predicting immunotherapy benefits. Predicted drug efficacy offered options for both high- and low-risk group patients. Our study established a novel mitochondrial-related nine-gene prognostic signature, providing insights for prognostic assessment and clinical decision-making in COAD patients.

摘要

结肠腺癌(COAD)是一种常见的消化系统恶性肿瘤,涉及线粒体相关基因的关键改变,影响肿瘤生长、转移和免疫逃逸。尽管关于这些基因在COAD中的预后模型研究有限,但我们基于可用的TCGA和MitoCarta 3.0数据库建立了一个包含九个基因的线粒体相关风险预后模型,并验证了其预测能力。我们使用R语言、CellChat以及来自单细胞和批量组织测序数据的其他生物信息学工具,研究了COAD患者的肿瘤微环境(TME)、免疫细胞浸润、复杂细胞通讯、肿瘤突变负担和药物敏感性。风险模型显示高风险组和低风险组之间免疫细胞浸润存在显著差异,在COAD中组织干细胞与巨噬细胞之间的相关性最强。风险评分与TME特征基因和免疫检查点分子表现出强烈的相关性。通过TIDE分析将风险评分与免疫评分、微卫星状态或肿瘤突变负荷相结合,提高了预测免疫治疗获益的准确性。预测的药物疗效为高风险组和低风险组患者都提供了选择。我们的研究建立了一种新的线粒体相关九基因预后特征,为COAD患者的预后评估和临床决策提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69fc/11842742/7359d96376a8/41598_2024_85035_Fig1_HTML.jpg

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