A Novel Platelet-Related Gene Signature for Predicting the Prognosis of Triple-Negative Breast Cancer

• DOI: 10.3389/fcell.2021.795600
• Publication Date: 2022-01-12T06:59:44Z
• Authors: Jindong Xie; Yutian Zou; Feng Ye; Wanzhen Zhao; Xinhua Xie; Xueqi Ou; Xiaoming Xie; Weidong Wei
• Keywords: Triple-negative breast cancer; Nomogram; Gene signature

Regarded as the most invasive subtype, triple-negative breast cancer (TNBC) lacks expression of estrogen receptors (ERs), progesterone (PRs), and human epidermal growth factor receptor 2 (HER2) proteins. Platelets have recently been shown to be associated with metastasis malignant tumors. Nevertheless, status platelet-related genes in TNBC their correlation patient prognosis remain unknown. In this study, variation levels were identified patients divided into three subtypes. We collected cohorts from The Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases. By applying least absolute shrinkage selection operator (LASSO) Cox regression method, we constructed a seven-gene signature which classified two low- or high-risk groups. Patients group more likely lower survival rates than those low-risk group. risk score, incorporated clinical features, was confirmed an independent for predicting overall (OS) time. Functional enrichment analyses revealed involvement variety vital biological processes classical cancer-related pathways that could important ultimate TNBC. then built nomogram performed well. Moreover, tested model other obtained positive outcomes. conclusion, closely related TNBC, novel serve tool assessment prognosis.