An Immunity-Related Gene Model Predicts Prognosis in Cholangiocarcinoma

Han Guo; Yihan Qian; Yeping Yu; Yuting Bi; Junzhe Jiao; Haocheng Jiang; Chang Yu; Hailong Wu; Yanjun Shi; Xiaoni Kong

doi:10.3389/fonc.2022.791867

An Immunity-Related Gene Model Predicts Prognosis in Cholangiocarcinoma

Front Oncol. 2022 Jul 1:12:791867. doi: 10.3389/fonc.2022.791867. eCollection 2022.

Authors

Han Guo^{1

2}, Yihan Qian², Yeping Yu³, Yuting Bi², Junzhe Jiao², Haocheng Jiang², Chang Yu², Hailong Wu⁴, Yanjun Shi⁵, Xiaoni Kong²

Affiliations

¹ Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
² Institute of Clinical Immunology, Department of Liver Diseases, Central Laboratory, Shuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.
³ Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
⁴ Shanghai Key Laboratory for Molecular Imaging, Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai, China.
⁵ Department of Hepatobiliary and Pancreas Surgery , The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.

Abstract

The prognosis of patients with cholangiocarcinoma (CCA) is closely related to both immune cell infiltration and mRNA expression. Therefore, we aimed at conducting multi-immune-related gene analyses to improve the prediction of CCA recurrence. Immune-related genes were selected from the Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), and the Immunology Database and Analysis Portal (ImmPort). The least absolute shrinkage and selection operator (LASSO) regression model was used to establish the multi-gene model that was significantly correlated with the recurrence-free survival (RFS) in two test series. Furthermore, compared with single genes, clinical characteristics, tumor immune dysfunction and exclusion (TIDE), and tumor inflammation signature (TIS), the 8-immune-related differentially expressed genes (8-IRDEGs) signature had a better prediction value. Moreover, the high-risk subgroup had a lower density of B-cell, plasma, B-cell naïve, CD8+ T-cell, CD8+ T-cell naïve, and CD8+ T-cell memory infiltration, as well as more severe immunosuppression and higher mutation counts. In conclusion, the 8-IRDEGs signature was a promising biomarker for distinguishing the prognosis and the molecular and immune features of CCA, and could be beneficial to the individualized immunotherapy for CCA patients.

Keywords: LASSO; TCI; cholangiocarcinoma; immunity; prognosis.