Unveiling immunogenic cell death-related genes in colorectal cancer: an integrated study incorporating transcriptome and Mendelian randomization analyses.

Abstract

Immunogenic cell death (ICD), a type of cell death that activates the tumor-specific immune response and thus exerts anti-tumor effects, is an emerging target in tumor therapy, but research on ICD-related genes (ICDGs) in colorectal cancer (CRC) remains limited. This study aimed to identify the CRC-specific ICDGs and explore their potential roles. Through RNA sequencing for tissue samples from CRC patients and integration with The Cancer Genome Atlas (TCGA) data, we identified 33 differentially expressed ICDGs in CRC. We defined the ICD score based on these genes in single-cell data, where a high score indicated an immune-active microenvironment. Additionally, molecular subtypes identified in bulk RNA data showed distinct immune landscapes. The ICD-related signature constructed with machine learning effectively distinguished patients' prognosis. The summary data-based Mendelian randomization (SMR) and colocalization analysis prioritized CFLAR for its positive association with CRC risk. Molecular docking revealed its stable binding with chemotherapeutic drugs like irinotecan. Furthermore, experimental validation confirmed CFLAR overexpression in CRC samples, and its knockdown inhibited tumor cell proliferation. Overall, this study expands the understanding of the potential roles and mechanisms of ICDGs in CRC and highlights CFLAR as a promising target for CRC.

• Authors: Yu Shao, Zhenling Wang, Jingyu Wu, Yunfei Lu, Yang Chen, Hongqiang Zhang, Changzhi Huang, Hengyang Shen, Lei Xu, Zan Fu
• Journal: Functional & integrative genomics (Funct Integr Genomics) Vol. 23 Issue 4 Pg. 316 (Oct 04 2023) ISSN: 1438-7948 [Electronic] Germany
• PMID: 37789099 (Publication Type: Journal Article)
• Copyright: © 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Topics

• Humans
• Immunogenic Cell Death
• Mendelian Randomization Analysis
• Molecular Docking Simulation
• Transcriptome
• Colorectal Neoplasms (genetics)
• Tumor Microenvironment