Annals of Translational Medicine 2022 February [Link]

Xiangxin Zhang, Xiangdong Huang, Zhexin Wang, Kejian Zhang

Abstract

Background: Immune-related genes (IRGs) play an important role in the tumor immune microenvironment and affect tumor prognosis. This study aimed to establish a prognostic signature for malignant pleural mesothelioma (MPM) patients.

Methods: We obtained the relevant data of MPM patients in The Cancer Genome Atlas (TCGA), and univariate and multivariate Cox regression were used to construct the prediction signature and verify it with the external validation dataset GSE2549. A nomogram was then constructed, and its predictive ability was evaluated and analyzed the level of immune cell infiltration in different groups in the signature.

Results: An IRG-related prognostic signature composed of INHBA, CAT, SORT1, TNFSF13B, and BIRC5 was constructed, with patients divided into high-risk and low-risk groups according to the risk score. The survival time of overall survival (OS), progression-free survival (PFS), disease-free interval (DFI), and relapse-free survival (RFS) in low-risk groups was longer than in high-risk groups. Furthermore, the signature had high predictive performance, and the receiver operating characteristic (ROC) of 1, 2, and 3 years could reach 0.853, 0.881, and 0.914, respectively. The predictive accuracy of the signature was verified by using the independent GSE2549 dataset. The levels of activated CD4 T cells, immature dendritic cells, and type 2 T helper cells were higher in high-risk patients. The gene set enrichment analysis (GSEA) analysis showed that a high concentration and P53 signal pathways were found in high-risk groups.

Conclusions: This research developed and verified a new type of immune prognostic signature based on five IRGs, which can predict the prognosis of tumor patients and provide new ideas for individualized treatment.