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Article

Identification of a risk prediction model for clinical prognosis in HER2 positive breast cancer patients

18 Oct 2021

Abstract excerpt

Background New biomarkers are needed to identify different clinical outcomes for HER2+ breast cancer (BC). Methods Differential genes of HER2+ BC were screened based on TCGA database. We used WGCNA to identify the genes related to the survival. Genetic Algorithm was used to structure risk prediction model. The prognostic model was validated in GSE data. Results We constructed a risk prediction model of 6 genes to...

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PMID: 34666190
DOI: 10.1016/j.ygeno.2021.10.010

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