Subtype identification and risk model establishment to predict prognosis and drug therapy response in colon cancer based on efferocytosis-related genes.

IF 1.6 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-03-21 DOI:10.1080/10255842.2026.2645174

Xiayan Sun, Fei Chen

引用次数: 0

Abstract

Efferocytosis can promote tumor immune evasion. This study identified three molecular subtypes and constructed a six-gene prognostic model for colon cancer based on efferocytosis-related genes and data from The Cancer Genome Atlas (TCGA). Patients in the high-risk group defined by this model showed higher levels of immunosuppressive cell infiltration and increased mutation rates, exhibiting poorer responses to immunotherapy. The model gene LHX3 was highly expressed in colon cancer, promoting malignant cellular phenotypes and influencing efferocytosis. Overall, the efferocytosis-based risk model constructed in this study may provide insights for prognostic evaluation and therapeutic strategies in colon cancer.

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基于efferocycytes相关基因的结肠癌亚型鉴定和风险模型建立预测预后和药物治疗反应。

淋巴细胞增生可促进肿瘤免疫逃逸。本研究基于efferocysis相关基因和癌症基因组图谱（The cancer Genome Atlas， TCGA）的数据，确定了三种分子亚型，构建了六基因结肠癌预后模型。该模型定义的高危组患者表现出更高水平的免疫抑制细胞浸润和更高的突变率，对免疫治疗的反应较差。模型基因LHX3在结肠癌中高表达，促进恶性细胞表型，影响efferocytosis。总之，本研究构建的基于efferocycytes的风险模型可能为结肠癌的预后评估和治疗策略提供见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.