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Immune perturbation network identifies an EMT subtype with chromosomal instability and tumor immune-desert microenvironment
- 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.
- Subjects :
- Oncology
Immunology
Genomic analysis
Transcriptomics
Science
Subjects
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