Bulk and single-cell transcriptome profiling reveal necroptosis-based molecular classification, tumor microenvironment infiltration characterization, and prognosis prediction in colorectal cancer

被引:11
|
作者
Luo, Wenqin [1 ,2 ]
Xiang, Wenqiang [1 ,2 ]
Gan, Lu [3 ,7 ,8 ]
Che, Ji [2 ,5 ]
Li, Jing [4 ]
Wang, Yichao [1 ,2 ]
Han, Lingyu [1 ,2 ]
Gu, Ruiqi [1 ,2 ]
Ye, Li [1 ,2 ]
Wang, Renjie [1 ,2 ]
Zhang, Xiuping [6 ]
Xu, Ye [1 ,2 ]
Dai, Weixing [1 ,2 ]
Mo, Shaobo [1 ,2 ]
Li, Qingguo [1 ,2 ]
Cai, Guoxiang [1 ,2 ]
机构
[1] Fudan Univ, Dept Colorectal Surg, Shanghai Canc Ctr, Shanghai, Peoples R China
[2] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China
[3] Fudan Univ, Zhongshan Hosp, Dept Med Oncol, Shanghai, Peoples R China
[4] Fudan Univ, Huashan Hosp, Dept CyberKnife Ctr, Shanghai, Peoples R China
[5] Fudan Univ, Dept Anesthesiol, Shanghai Canc Ctr, Shanghai, Peoples R China
[6] Fudan Univ, Zhongshan Hosp, Xiamen Branch, Xiamen Clin Res Ctr Canc Therapy, Xiamen, Peoples R China
[7] Fudan Univ, Zhongshan Hosp, Dept Canc Ctr, Shanghai, Peoples R China
[8] Fudan Univ, Dept Ctr Evidence Based Med, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Colorectal cancer; Necroptosis; Tumor microenvironment; Immunotherapy; Drug sensitivity; MECHANISMS; EXPRESSION; DISCOVERY; BLOCKADE; NECROSIS; IMMUNITY;
D O I
10.1186/s12967-022-03431-6
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background Necroptosis is a new form of programmed cell death that is associated with cancer initiation, progression, immunity, and chemoresistance. However, the roles of necroptosis-related genes (NRGs) in colorectal cancer (CRC) have not been explored comprehensively. Methods In this study, we obtained NRGs and performed consensus molecular subtyping by "ConsensusClusterPlus" to determine necroptosis-related subtypes in CRC bulk transcriptomic data. The ssGSEA and CIBERSORT algorithms were used to evaluate the relative infiltration levels of different cell types in the tumor microenvironment (TME). Single-cell transcriptomic analysis was performed to confirm classification related to NRGs. NRG_score was developed to predict patients' survival outcomes with low-throughput validation in a patients' cohort from Fudan University Shanghai Cancer Center. Results We identified three distinct necroptosis-related classifications (NRCs) with discrepant clinical outcomes and biological functions. Characterization of TME revealed that there were two stable necroptosis-related phenotypes in CRC: a phenotype characterized by few TME cells infiltration but with EMT/TGF-pathways activation, and another phenotype recognized as immune-excluded. NRG_score for predicting survival outcomes was established and its predictive capability was verified. In addition, we found NRCs and NRG_score could be used for patient or drug selection when considering immunotherapy and chemotherapy. Conclusions Based on comprehensive analysis, we revealed the potential roles of NRGs in the TME, and their correlations with clinicopathological parameters and patients' prognosis in CRC. These findings could enhance our understanding of the biological functions of necroptosis, which thus may aid in prognosis prediction, drug selection, and therapeutics development.
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页数:21
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