Journal
AGING-US
Volume 15, Issue 16, Pages 8185-8203Publisher
IMPACT JOURNALS LLC
Keywords
breast cancer; prognosis; single-cell RNA-sequencing; tumor microenvironment
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In this study, a single-cell level tool was constructed to predict the prognosis of breast cancer patients using gene set enrichment analysis. The results indicate that the stemness-risk gene score (SGS) is a reliable tool for predicting prognosis and response to immunotherapy in breast cancer patients.
Breast cancer (BC) is a heterogeneous disease characterized by significant differences in prognosis and therapy response. Numerous prognostic tools have been developed for breast cancer. Usually these tools are based on bulk RNA-sequencing (RNA-Seq) and ignore tumor heterogeneity. Consequently, the goal of this study was to construct a single-cell level tool for predicting the prognosis of BC patients. In this study, we constructed a stemness-risk gene score (SGS) model based on single-sample gene set enrichment analysis (ssGSEA). Patients were divided into two groups based on the median SGS. Patients with a high SGS scores had a significantly worse prognosis than those with a low SGS, and these groups exhibited differences in several tumor characteristics, such as immune infiltration, gene mutations, and copy number variants. Our results indicate that the SGS is a reliable tool for predicting prognosis and response to immunotherapy in BC patients.
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