A gene expression signature-based nomogram model in prediction of breast cancer bone metastases.

ABSTRACT: Breast cancer is prone to form bone metastases and subsequent skeletal-related events (SREs) dramatically decrease patients' quality of life and survival. Prediction and early management of bone lesions are valuable; however, proper prognostic models are inadequate. In the current study, we reviewed a total of 572 breast cancer patients in three microarray data sets including 191 bone metastases and 381 metastases-free. Gene set enrichment analysis (GSEA) indicated less aggressive and low-grade features of patients with bone metastases compared with metastases-free ones, while luminal subtypes are more prone to form bone metastases. Five bone metastases-related genes (KRT23, REEP1, SPIB, ALDH3B2, and GLDC) were identified and subjected to construct a gene expression signature-based nomogra

SUBMITTER: Zhao C 

PROVIDER: S-EPMC6346244 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature