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

被引:0
作者
Yu Shao
Zhenling Wang
Jingyu Wu
Yunfei Lu
Yang Chen
Hongqiang Zhang
Changzhi Huang
Hengyang Shen
Lei Xu
Zan Fu
机构
[1] Nanjing Medical University,The First School of Clinical Medicine
[2] The First Affiliated Hospital of Nanjing Medical University,Department of General Surgery
来源
Functional & Integrative Genomics | 2023年 / 23卷
关键词
Colorectal cancer; Immunogenic cell death; RNA-sequencing; Immunotherapy; Mendelian randomization; CFLAR;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 217 条
[21]  
Ghiringhelli F(2018)Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018 Cell Death Differ 25 486-363
[22]  
Chen B(2014)Bayesian test for colocalisation between pairs of genetic association studies using summary statistics PLoS Genet 10 e1004383-322
[23]  
Khodadoust MS(2020)Visualizing and interpreting cancer genomics data via the Xena platform Nat Biotechnol 38 675-521
[24]  
Liu CL(2018)Molecular illustration in research and education: past, present, and future J Mol Biol 430 3969-195
[25]  
Newman AM(2009)Immunogenic and tolerogenic cell death Nat Rev Immunol 9 353-860
[26]  
Chen L(2012)Accessories to the crime: functions of cells recruited to the tumor microenvironment Cancer Cell 21 309-1558
[27]  
Liu P(2020)Molecular mechanisms and cellular functions of cGAS-STING signalling Nat Rev Mol Cell Biol 21 501-1496
[28]  
Evans TC(1997)Inhibition of death receptor signals by cellular FLIP Nature 388 190-648
[29]  
Ettwiller LM(2008)Random survival forests Ann Appl Stat 2 841-D1380
[30]  
Consortium GT(2018)Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response Nat Med 24 1550-156