Tumor microenvironment derived signature predicting relapse-free survival in I-III cancer and preliminary experiment verification

签名(拓扑) 肿瘤微环境 肿瘤科 癌症 总体生存率 癌症研究 内科学 医学 计算生物学 生物 数学 几何学
作者
Zhiyuan Zhang,Qi Wu,Dexiang Zhu,Guodong He,Qingyang Feng,Jianmin Xu
出处
期刊:International Immunopharmacology [Elsevier]
卷期号:91: 107243-107243 被引量:5
标识
DOI:10.1016/j.intimp.2020.107243
摘要

The recurrence in colon cancer contributed to great difficulties in diagnostic and therapeutic treatment. Tumor microenvironment (TME) gains increasing attention recently. After univariate Cox analysis on relapse-free survival (RFS) and ESTIMATE analysis, WGCNA was further conducted to determine the TME and relapse-related genes in I-III colon cancer. Functional enrichment analyses were conducted. Furthermore, seven genes were screened to build a prognostic signature via LASSO and multivariate Cox analysis. Univariate followed multivariate Cox analysis all showed that the risk group calculated by the signature as a significant predictors. The ROC curves showed great prognostic in the internal training group, internal verification group, and independent external verification group. In the training group, the AUC at 1, 3, and 5 years was 0.737, 0.79, and 0.756. In addition, correlation analysis presented that the signature and genes involved in were significantly associated with the TME. Moreover, 3 of 7 genes (FAM78A, SGIP1, and MMP9) were validated to be associated with PDL1 through qRT-PCR.

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