4.7 Article

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

期刊

JOURNAL OF TRANSLATIONAL MEDICINE
卷 20, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12967-022-03431-6

关键词

Colorectal cancer; Necroptosis; Tumor microenvironment; Immunotherapy; Drug sensitivity

资金

  1. National Natural Science Foundation of China [81871958, 8217112384, 8210112506]
  2. Shanghai Science and Technology Committee [19140902100]
  3. Fudan University [IDF159052]
  4. Science and Technology Commission of Shanghai Municipality [20DZ1100101]
  5. Shanghai Municipal Health Commission [SHWJRS 2021-99]
  6. Shanghai Sailing Program [22YF1408800]
  7. Fujian provincial health technology project [2021QNB020]

向作者/读者索取更多资源

The roles of necroptosis-related genes in colorectal cancer have been comprehensively explored in this study. The findings provide insights into the biological functions of necroptosis, as well as prognosis prediction, drug selection, and therapeutics development in colorectal cancer.
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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