Identification of prognostic immune-related signature predicting the overall survival for colorectal cancer
Identification of prognostic immune-related signature predicting the overall survival for colorectal cancer
复制标题
DOI：
10.26355/eurrev_202002_20164
复制
发表时间：
2020-01-01
影响因子：
3.3
通讯作者：
Xiong, B.
中科院分区：
文献类型：
--
作者：
Bai, J.;Zhang, X.;Xiong, B.
目的：结直肠癌是世界范围内最常见的恶性肿瘤之一，其发病率和死亡率呈逐年上升趋势。本研究的目的是通过分析来自癌症基因组图谱（TCGA）的数据集，研究预后免疫相关基因谱与结直肠癌患者预后之间的关联。材料和方法：基因本体论（GO）和京都基因和基因组百科全书（KEGG）进一步证明，这些基因在许多免疫相关的生物学过程中富集。单因素考克斯回归分析免疫相关基因与结直肠癌患者预后的关系。然后使用最小绝对收缩和选择操作（LASSO）考克斯回归模型来建立用于患者中结直肠癌预后评估的免疫相关特征。采用Kaplan-Meier法沿着log-rank test.RESULTS：单变量考克斯比例风险回归分析共识别出133个预后免疫相关特征。使用LASSO考克斯回归构建基于14个基因签名的风险评分。根据风险评分的临界值，将患者分为低风险组和高风险组。对数秩检验提示低危组生存时间明显高于高危组。在时间依赖性ROC曲线分析中，1年的AUC。3年、5年总生存率（OS）分别为0.781、0.742和0.791。GO和KEGG分析进一步揭示，基因集积极参与免疫和炎症反应，以及的精氨酸-细胞因子受体相互作用pathway.CONCLUSIONS：总之，我们确定了一种新的14基因免疫相关的签名，可能作为结直肠癌的预后预测因子，从而有助于患者个性化的治疗决策。需要进行进一步的研究来验证所选基因的预后价值。
OBJECTIVE: The morbidity and mortality of patients with colorectal cancer, one of the most common malignant tumors worldwide, is steadily increasing. The aim of this study was to investigate the association between prognostic immune-related gene profile and the outcome of colorectal cancer in patients by analyzing datasets from The Cancer Genome Atlas (TCGA).MATERIALS AND METHODS: Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) further demonstrated that these genes were enriched in many immune-related biological processes. Univariate Cox regression analysis was applied to examine the association of immune-related genes with the prognosis in patients with colorectal cancer. The least absolute shrinkage and selection operation (LASSO) Cox regression model was then used to establish the immune-related signature for the prognostic evaluation of colorectal cancer in patients. Survival differences were assessed by the Kaplan-Meier method along with the log-rank test.RESULTS: A total of 133 prognostic immune-related signatures were identified by using the univariate Cox proportional hazards regression analysis. A 14-gene signature-based risk score was constructed using the LASSO Cox regression. According to the cut-off of the risk-score, patients were assigned to the low-risk and highrisk groups. The log-rank test suggested that the survival time of the low-risk group was significantly higher than that of the high-risk group. In the time-dependent ROC curve analysis, the AUC for 1-year. 3-year, and 5-year overall survival (OS) were 0.781, 0.742, and 0.791, respectively. GO and KEGG analysis further revealed that the gene sets were actively involved in immune and inflammatory response, as well as the cytokine-cytokine receptor interaction pathway.CONCLUSIONS: To summarize, we identified a novel 14-gene immune-related signature that may potentially serve as a prognostic predictor for colorectal cancer, thereby contributing to patient personalized treatment decisions. Further research needs to be conducted to validate the prognostic value of the selected genes.