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Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning

1 Sept 2021

Abstract excerpt

Triple negative breast cancer (TNBC) lacks well-defined molecular targets and is highly heterogenous, making treatment challenging. Using gene expression analysis, TNBC has been classified into four different subtypes: basal-like immune-activated (BLIA), basal-like immune-suppressed (BLIS), mesenchymal (MES), and luminal androgen receptor (LAR). However, there is currently no standardized method for classifying...

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PMID: 34575658
DOI: 10.3390/jpm11090881

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