Although keratin 15 (KRT15) has been indicated to be overexpressed in several types of tumor, its role in breast invasive carcinoma (BRCA) has so far remained elusive. The aim of the present study was to explore KRT15 expression in BRCA based on data obtained from The Cancer Genome Atlas and The Genotype-Tissue Expression. KRT15 expression was compared using a Wilcoxon rank-sum test. Functional enrichment analysis was performed to reveal the biological roles and pathways of KRT15. The association between KRT15 expression and immune-cell infiltration was evaluated via single-sample gene set enrichment analysis (ssGSEA). To investigate the relationship between clinicopathological features and KRT15 expression, the prognostic value of KRT15 and other clinical factors was evaluated using Cox regression analysis and Kaplan-Meier (KM) plots. Subgroup prognostic analysis was also performed using forest plots and KM curves. Finally, a tissue microarray was used to assess KRT15 expression in BRCA tissues. KRT15 expression was significantly lower in BRCA tissues compared with that in normal tissues. Functional enrichment analysis suggested that KRT15-related genes were primarily enriched in the transmembrane transporter complex, cornification and ligand-receptor interactions. Increased KRT15 was associated with several tumor-suppressive pathways. ssGSEA revealed that high KRT15 expression was significantly associated with natural killer-cell, B-cell and mast-cell infiltration. Significant associations were observed between low KRT15 expression and advanced stage clinicopathological factors, as well as unfavorable overall survival (OS) and disease-specific survival. Multivariate Cox regression analysis suggested that KRT15 was an independent prognostic factor for OS (P=0.039; hazard ratio, 0.590; 95% CI, 0.358-0.974). Subgroup prognostic analysis demonstrated that low KRT15 was a reliable predictor of poor OS. Immunohistochemistry of a tissue microarray indicated that positive KRT15 expression rates were significantly higher in normal tissues compared with those in the BRCA tissues. In conclusion, low KRT15 expression was significantly associated with poor prognosis in patients with BRCA. Thus, KRT15 may serve an important role in BRCA progression and may be used as a promising prognostic marker for diagnostic and prognostic analyses in patients with BRCA.
Identification of molecular subtypes of clinically resectable triple-negative breast cancer (TNBC) is of great importance to achieve better clinical outcomes. Inter- and intratumor metabolic heterogeneity improves cancer survival, and the interaction of various metabolic pathways may affect treatment outcome of TNBC. We speculated that TNBC can be categorized into prognostic metabolic subtype according to the expression changes of glycolysis and cholesterol synthesis. The genome, transcriptome, and clinical data were downloaded from the Cancer Genome Atlas and Molecular Taxonomy of Breast Cancer International Consortium and subsequently analyzed by integrated bioinformatics methods. Four subtypes, namely, glycolytic, cholesterogenic, quiescent, and mixed, were classified according to the normalized median expressions of the genes involved in glycolysis and cholesterol synthesis. In the four subtypes, the cholesterogenic type was correlated with the shortest median survival (log rank P = 0.044), while patients with high-expressed glycolytic genes tended to have a longer survival. Tumors with PIK3CA amplification and dynein axonemal heavy chain 2 deletion exhibited higher expressions of cholesterogenic genes than other mutant oncogenes. The expressions of mitochondrial pyruvate carrier MPC1 and MPC2 were the lowest in quiescent tumor, and MPC2 expression was higher in cholesterogenic tumor compared with glycolytic or quiescent tumor ( t-test P < 0.001). Glycolytic and cholesterogenic gene expressions were related to the expressions of prognostic genes in some other types of cancers. Classification of glycolytic and cholesterogenic pathways according to metabolic characteristics provides a new understanding to previously identified subtypes of TNBC and could improve personalized treatments based on tumor metabolic profiles.
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