A Metabolic Gene Signature to Predict Breast Cancer Prognosis

A Metabolic Gene Signature to Predict Breast Cancer Prognosis

Background: The existing metabolic gene signatures for predicting breast cancer outcomes only focus on gene expression data without considering clinical characteristics. Therefore, this study aimed to establish a predictive risk model combining metabolic enzyme genes and clinicopathological characte...

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Bibliographic Details
Main Authors: Jun Lu, Pinbo Liu, Ran Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
breast cancer
TCGA
metabolism-related gene
survival analysis
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.900433/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2022.900433/full

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