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pmid:35297220
A risk model of 10 aging-related genes for predicting survival and immune response in triple-negative breast cancer.
Xia Yang · Yanhua Sun · Xia Liu · Zhinong Jiang
Cancer medicine · 2022 doi:10.1002/cam4.4674
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Here, we constructed a risk model of 10 prognostic aging-related genes (ARGs) from METABRIC database. Then, TNBC patients were classified into high- and low-risk groups, the survival diversity, immune response, genomic function, and tumor mutation burden (TMB) between different risk groups were explored in METABRIC, TCGA, and GSE58812 cohorts. Results showed that patients in the high-risk group had poorer survival outcomes compared to their counterparts (all p < 0.05), and the nomogram we established showed reliable prediction ability for survival in TNBC patients. Besides, TNBC patients with high-risk scores had a lower expression of immune checkpoint markers and a lower fraction of activated immune cells. Furthermore, GSEA showed that Notch signaling pathway was significantly enriched in the high-risk group. 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