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Immune perturbation network identifies an EMT subtype with chromosomal instability and tumor immune-desert microenvironment

Authors :
Hui Xu
Xinyu Fu
Ben Liu
Siyuan Weng
Chunguang Guo
Libo Quan
Long Liu
Libo Wang
Zhe Xing
Quan Cheng
Peng Luo
Kexin Chen
Zaoqu Liu
Xinwei Han
Source :
iScience, Vol 26, Iss 10, Pp 107871- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Most gastric cancer (GC) subtypes are identified through transcriptional profiling overlooking dynamic changes and interactions in gene expression. Based on the background network of global immune genes, we constructed sample-specific edge-perturbation matrices and identified four molecular network subtypes of GC (MNG). MNG-1 displayed the best prognosis and vigorous cell cycle activity. MNG-2 was enriched by immune-hot phenotype with the potential for immunotherapy response. MNG-3 and MNG-4 were identified with epithelial-mesenchymal transition (EMT) peculiarity and worse prognosis, termed EMT subtypes. MNG-3 was characterized by low mutational burden and stromal cells and considered a replica of previous subtypes associated with poor prognosis. Notably, MNG-4 was considered a previously undefined subtype with a dismal prognosis, characterized by chromosomal instability and immune-desert microenvironment. This subtype tended to metastasize and was resistant to respond to immunotherapy. Pharmacogenomics analysis showed three therapeutic agents (NVP-BEZ235, LY2606368, and rutin) were potential interventions for MNG-4.

Details

Language :
English
ISSN :
25890042
Volume :
26
Issue :
10
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.07614151b430411b9451ca925349266a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2023.107871