Integrated bioinformatic analysis of potential biomarkers of poor prognosis in triple-negative breast cancer.

BACKGROUND

Triple-negative breast cancer (TNBC) is a heterogeneous disease associated with late-stage diagnosis and high metastatic rates. However, a gene signature for reliable TNBC biomarkers is not available yet. We aimed to identify potential key genes and their association with poor prognosis in TNBC through integrated bioinformatics.

METHODS

Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in TNBC non-TNBC and TNBC . normal tissues were analyzed. Overlapping upregulated and downregulated DEGs were selected as inputs for Gene Ontology and pathway enrichment analyses using Metascape. Then, UALCAN and Kaplan-Meier plotter were employed to analyze the prognostic values of all overlapping DEGs.

RESULTS

We identified 21 upregulated and 24 downregulated overlapping DEGs in TNBC non-TNBC and TNBC normal breast tissue. The upregulated overlapping DEGs were mainly enriched in various pathways including chromosome segregation, cell cycle phase transition, and cell division, whereas overlapping DEGs were significantly downregulated in pathways, such as multicellular organismal homeostasis, tissue homeostasis, and negative regulation of cell population proliferation. Key genes were identified by association with poor overall survival (OS). Our results showed that high expression of and was associated with poor OS of TNBC patients. Conversely, the low expression of , and indicated worse OS.

CONCLUSIONS

We identified key genes (, and ) associated with poor OS. Thus, these genes might serve as candidate prognostic markers for TNBC.