Zhang Bixiong, Xu Lingli, Ji Yuran, Li Jiezhuang, Liu Liehui, Li Liangfang, Zhuo Zewei, Zheng Zhongwen
Department of Gastroenterology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Heyuan People's Hospital, Heyuan, Guangdong, 517001, China.
Appl Biochem Biotechnol. 2025 May 10. doi: 10.1007/s12010-025-05262-9.
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.
已知Rho GTP酶通过调节细胞运动性和粘附促进结肠癌细胞的侵袭和转移。然而,Rho GTP酶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索。我们使用单变量Cox回归鉴定Rho GTP酶相关的预后基因,并应用最小绝对收缩和选择算子(LASSO)回归来优化这些基因并建立一个预后模型。分析了Rho GTP酶相关基因特征与结肠癌患者临床结局、免疫状态、免疫治疗和化疗反应的相关性。建立了一个Rho GTP酶相关的12基因特征,用于预测训练和验证队列中的预后。单变量和多变量分析均证实Rho GTP酶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分期和几个现有模型。免疫细胞分析表明,高Rho GTP酶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除(TIDE)分析显示,高Rho GTP酶风险评分与免疫功能障碍相关,提示高危患者可能对免疫检查点抑制剂耐药。此外,观察到对59种化疗药物的敏感性差异:高危患者对CCT007093、CGP.082996和AS601245更敏感,而低危患者对BMS.708163、NSC.87877和顺铂更敏感,这为潜在的治疗选择提供了依据。Rho GTP酶相关的12基因特征为预测结肠癌的预后和治疗反应提供了一个有价值的工具,支持个性化治疗策略并改善患者结局。