Combined mRNAs and clinical factors model on predicting prognosis in patients with triple-negative breast cancer

Yanjun Hu and Dehong Zou

PLOS ONE, 2021, vol. 16, issue 12, 1-17

Abstract: Objective: Triple-negative breast cancer (TNBC) is aggressive cancer usually diagnosed in young women with no effective prognosis prediction model to use. The present study was performed to develop a useful prognostic model for predicting overall survival (OS) for TNBC patients. Methods: The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) databases were used as training and validation data sets, respectively, in which the gene expression levels and clinical prognostic information of TNBC were collected. Differentially expressed genes (DEGs) between TNBC and non-TNBC (NTNBC) were identified with the thresholds of false discovery rate 1. DEGs in AmiGO2 and the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were retained for further study. Univariate, multivariate Cox, and logistic regression analysis were conducted for detecting DEG signature with the threshold of log-rank P

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0260811

DOI: 10.1371/journal.pone.0260811

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