RHOGTPase-Related Gene Signature Predicts Prognosis, Immunotherapy Response, and Chemotherapy Sensitivity in Colon Cancer.

IF 3.1 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Bixiong Zhang, Lingli Xu, Yuran Ji, Jiezhuang Li, Liehui Liu, Liangfang Li, Zewei Zhuo, Zhongwen Zheng
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引用次数: 0

Abstract

Rho GTPases are known to promote colon cancer cell invasion and metastasis by modulating cell motility and adhesion. However, the clinical implications of Rho GTPase-related genes in prognosis and treatment response for colon cancer remain underexplored. We identified Rho GTPase-related prognostic genes using univariate Cox regression and applied Least Absolute Shrinkage and Selection Operator (LASSO) regression to refine these genes and develop a prognostic model. The Rho GTPase-related gene signature was analyzed for associations with clinical outcomes, immune status, immunotherapy, and chemotherapy response in colon cancer patients. A Rho GTPase-related 12-gene signature was established to predict prognosis across training and validation cohorts. Both univariate and multivariate analyses confirmed the Rho GTPase risk score as an independent prognostic factor. The model's area under the curve (AUC) and decision curve analysis (DCA) outperformed traditional TNM staging and several existing models. Immune cell analysis showed high Rho GTPase risk scores correlated with increased macrophage/monocyte and cancer-associated fibroblast infiltration. Tumor Immune Dysfunction and Exclusion (TIDE) analysis revealed an association between high Rho GTPase risk scores and immune dysfunction, suggesting potential resistance to immune checkpoint inhibitors in high-risk patients. Additionally, differential sensitivity to 59 chemotherapeutics was observed: high-risk patients showed greater sensitivity to CCT007093, CGP.082996, and AS601245, while low-risk patients were more sensitive to BMS.708163, NSC.87877, and Cisplatin, informing potential treatment choices. The Rho GTPase-related 12-gene signature offers a valuable tool for predicting prognosis and therapeutic response in colon cancer, supporting personalized treatment strategies and improved patient outcomes.

rhogtpase相关基因标记预测结肠癌的预后、免疫治疗反应和化疗敏感性。
已知Rho gtpase通过调节细胞运动和粘附来促进结肠癌细胞的侵袭和转移。然而,Rho gtpase相关基因在结肠癌预后和治疗反应中的临床意义仍未得到充分探讨。我们使用单变量Cox回归确定了Rho gtpase相关的预后基因,并应用最小绝对收缩和选择算子(LASSO)回归来完善这些基因并建立预后模型。分析Rho gtpase相关基因标记与结肠癌患者的临床结果、免疫状态、免疫治疗和化疗反应的关系。建立Rho gtpase相关的12个基因标记来预测训练和验证队列的预后。单因素和多因素分析均证实Rho GTPase风险评分是一个独立的预后因素。该模型的曲线下面积(AUC)和决策曲线分析(DCA)优于传统的TNM分期和几种现有模型。免疫细胞分析显示,高Rho GTPase风险评分与巨噬细胞/单核细胞和癌症相关成纤维细胞浸润增加相关。肿瘤免疫功能障碍和排斥(TIDE)分析显示高Rho GTPase风险评分与免疫功能障碍之间存在关联,提示高危患者对免疫检查点抑制剂存在潜在耐药性。此外,我们还观察到了对59种化疗药物的不同敏感性:高风险患者对CCT007093、CGP.082996和AS601245的敏感性更高,而低风险患者对BMS.708163、NSC.87877和顺铂的敏感性更高,提示了潜在的治疗选择。Rho gtpase相关的12个基因标记为预测结肠癌的预后和治疗反应提供了有价值的工具,支持个性化治疗策略和改善患者预后。
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来源期刊
Applied Biochemistry and Biotechnology
Applied Biochemistry and Biotechnology 工程技术-生化与分子生物学
CiteScore
5.70
自引率
6.70%
发文量
460
审稿时长
5.3 months
期刊介绍: This journal is devoted to publishing the highest quality innovative papers in the fields of biochemistry and biotechnology. The typical focus of the journal is to report applications of novel scientific and technological breakthroughs, as well as technological subjects that are still in the proof-of-concept stage. Applied Biochemistry and Biotechnology provides a forum for case studies and practical concepts of biotechnology, utilization, including controls, statistical data analysis, problem descriptions unique to a particular application, and bioprocess economic analyses. The journal publishes reviews deemed of interest to readers, as well as book reviews, meeting and symposia notices, and news items relating to biotechnology in both the industrial and academic communities. In addition, Applied Biochemistry and Biotechnology often publishes lists of patents and publications of special interest to readers.
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