Immunogenic cell death-related risk signature for tumor microenvironment profiling and prognostic prediction in colorectal cancer.

0 MEDICINE, RESEARCH & EXPERIMENTAL
Pengcheng Wang, Wei Zhao, Linghong Guo, Hailei Cao
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引用次数: 0

Abstract

Immunogenic cell death (ICD) reshapes the tumor immune microenvironment and activates the adaptive immune response. However, the clinical significance of ICD-associated genes in colorectal cancer (CRC) remains unclear. In this study, we used weighted gene co-expression network analysis (WGCNA) to identify ICD-related gene modules. An ICD-related risk score (ICDRS) was then constructed using Cox regression modeling and LASSO analysis. Immune cell infiltration in patients with different risk levels was assessed using the ESTIMATE and single-sample Gene Set Enrichment Analysis algorithms (GSEA). The oncoPredict package was employed to explore the association between the ICDRS and chemotherapy drug sensitivity. Finally, the expression levels of ICD-related genes were validated through in vitro cellular experiments. Three CRC prognostic genes-CLMP, Neuropilin-1 (NRP1), and PLEKHO1-were identified from a set of 34 ICD-associated genes based on WGCNA and LASSO analyses. These genes were used to construct the ICDRS model. Notably, a high ICDRS was found to be an independent predictor of poorer overall survival (OS) in CRC patients. High-risk patients also exhibited increased immune cell infiltration. Moreover, the ICDRS was significantly correlated with sensitivity to conventional chemotherapeutic drugs, suggesting its potential utility in guiding personalized chemotherapy. Cellular assays confirmed that CLMP, NRP1, and PLEKHO1 were differentially expressed between normal and cancerous cells, and that NRP1 specifically promoted the proliferation, migration, and invasion of CRC cells. In conclusion, the ICDRS may serve as a reliable predictor of CRC prognosis and offers a promising direction for the clinical management of CRC patients.

结直肠癌肿瘤微环境分析和预后预测的免疫原性细胞死亡相关风险标志
免疫原性细胞死亡(ICD)重塑肿瘤免疫微环境,激活适应性免疫反应。然而,icd相关基因在结直肠癌(CRC)中的临床意义尚不清楚。在这项研究中,我们使用加权基因共表达网络分析(WGCNA)来识别icd相关的基因模块。然后采用Cox回归模型和LASSO分析构建icd相关风险评分(ICDRS)。使用ESTIMATE和单样本基因集富集分析算法(GSEA)评估不同风险水平患者的免疫细胞浸润。使用oncoPredict包来探讨ICDRS与化疗药物敏感性之间的关系。最后,通过体外细胞实验验证icd相关基因的表达水平。基于WGCNA和LASSO分析,从一组34个icd相关基因中鉴定出3个CRC预后基因- clmp, Neuropilin-1 (NRP1)和plekho1。这些基因被用来构建ICDRS模型。值得注意的是,高ICDRS被发现是CRC患者总生存(OS)较差的独立预测因子。高危患者也表现出免疫细胞浸润增加。此外,ICDRS与对常规化疗药物的敏感性显著相关,提示其在指导个性化化疗方面的潜在效用。细胞实验证实,CLMP、NRP1和PLEKHO1在正常细胞和癌细胞之间存在差异表达,NRP1特异性促进CRC细胞的增殖、迁移和侵袭。综上所述,ICDRS可作为CRC预后的可靠预测指标,为CRC患者的临床管理提供了有希望的方向。
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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