Immunophenoscore (IPS) is a generic machine learning-based algorithm for quantifying tumor immunogenicity, which is measured grounded in the gene expression of representative cell types, including immunomodulators, immunosuppressive cells, MHC molecules, and effector cells (27). The IPS from The Cancer Immunome Atlas (TCIA) (https://tcia.at/) was calculated in the high and low CDKN2A expression groups in TNBC patients. In general, the higher IPS indicates a better immunotherapy response. Subsequently, to further predict the sensitivity to immunotherapy response, GSE173839 was used to evaluate the status of immunotherapy response between high and low CDKN2A expression subpopulations in TNBC patients.
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