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Identification of a novel glycolysis-related signature to predict the prognosis of patients with breast cancer

2 Oct 2021

Abstract excerpt

BACKGROUND: Breast cancer (BC) has a high incidence and mortality rate in females. Its conventional clinical characteristics are far from accurate for the prediction of individual outcomes. Therefore, we aimed to develop a novel signature to predict the survival of patients with BC. METHODS: We analyzed the data of a training cohort from the Cancer Genome Atlas (TCGA) database and a validation cohort from the...

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PMID: 34600547
DOI: 10.1186/s12957-021-02409-w

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