Back to Search
Start Over
Bioinformatic-Experimental Screening Uncovers Multiple Targets for Increase of MHC-I Expression through Activating the Interferon Response in Breast Cancer.
- Source :
-
International journal of molecular sciences [Int J Mol Sci] 2024 Sep 30; Vol. 25 (19). Date of Electronic Publication: 2024 Sep 30. - Publication Year :
- 2024
-
Abstract
- Expression of major histocompatibility complex I (MHC-I) on tumor cells is extremely important for the antitumor immune response for its essential role in activating various immune cells, including tumor-specific CD8+ T cells. Cancers of lower MHC-I expression commonly exhibit less immune cell infiltration and worse prognosis in clinic. In this study, we conducted bioinformatic-experimental screening to identify potential gene targets to enhance MHC-I expression in breast cancer (BRCA). Through a combination of MHC-I scoring, gene expression correlation analysis, survival prognostication, and Cibersort tumor-infiltrated lymphocytes (TILs) scoring, we identify 144 genes negatively correlated with both MHC-I expression and TILs in breast cancer. Furthermore, we verified partially according to KEGG functional enrichment or gene-dependency analysis and figured out multiple genes, including PIP5K1A , NCKAP1 , CYFIP1 , DIS3 , TBP , and EXOC1 , as effective gene targets for increasing MHC-I expression in breast cancer. Mechanistically, knockout of each of these genes activated the intrinsic interferon response in breast cancer cells, which not only promoted MHC-I expression but also caused immunogenic cell death of breast cancer. Finally, the scRNA-seq confirmed the negative correlation of PIP5K1A et al. with TILs in breast cancer patients. Collectively, we identified multiple gene targets for an increase in MHC-I expression in breast cancer in this study.
- Subjects :
- Humans
Female
Interferons metabolism
Interferons genetics
Histocompatibility Antigens Class I genetics
Histocompatibility Antigens Class I metabolism
Cell Line, Tumor
Prognosis
Gene Expression Profiling
Breast Neoplasms genetics
Breast Neoplasms immunology
Breast Neoplasms metabolism
Breast Neoplasms pathology
Computational Biology methods
Gene Expression Regulation, Neoplastic
Lymphocytes, Tumor-Infiltrating immunology
Lymphocytes, Tumor-Infiltrating metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1422-0067
- Volume :
- 25
- Issue :
- 19
- Database :
- MEDLINE
- Journal :
- International journal of molecular sciences
- Publication Type :
- Academic Journal
- Accession number :
- 39408874
- Full Text :
- https://doi.org/10.3390/ijms251910546