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ABSTRACT: Background
Although increased early detection, diagnosis and treatment have improved the outcome of breast cancer patients, prognosis estimation still poses challenges due to the disease heterogeneity. Accumulating data indicated an evident correlation between tumor immune microenvironment and clinical outcomes.Objective
To construct an immune-related signature that can estimate disease prognosis and patient survival in breast cancer.Methods
Gene expression profiles and clinical data of breast cancer patients were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, which were further divided into a training set (n = 499), a testing set (n = 234) and a Meta-validation set (n = 519). In the training set, immune-related genes were
SUBMITTER: Xie P
PROVIDER: S-EPMC6997532 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature