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  2. Bioinformatic-Experimental Screening Uncovers Multiple Targets for Increase of MHC-I Expression through Activating the Interferon Response in Breast Cancer

Bioinformatic-Experimental Screening Uncovers Multiple Targets for Increase of MHC-I Expression through Activating the Interferon Response in Breast Cancer

  • Int J Mol Sci. 2024 Sep 30;25(19):10546. doi: 10.3390/ijms251910546.
Xin Li 1 Zilun Ruan 1 Shuzhen Yang 1 Qing Yang 1 Jinpeng Li 1 Mingming Hu 1
Affiliations

Affiliation

  • 1 Frontier Science Center for Immunology and Metabolism, Medical Research Institute, State Key Laboratory of Virology, Wuhan University, Wuhan 430072, China.
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.

Keywords

MHC-I molecules; bioinformatics; breast neoplasms; interferon type I; tumor immunity.

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