Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer

Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer

Abstract The increased risk of recurrence and metastasis are obstacles to treating TNBC. Propionate-related genes play an important role in tumor development and immune cell infiltration. The study was to identify the association between propionate-related genes and the prognosis of TNBC patients. P...

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Bibliographic Details
Main Authors: Kelun Pan, Pengjun Qiu, Huikai Liang, Ningning Wan, Zundong Liu, Qiaonan Guo
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Triple-negative breast cancer (TNBC)
Propionate-related genes
Risk model
Prognosis
Tumor immune microenvironment (TIME)
Online Access:https://doi.org/10.1038/s41598-025-01274-x
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https://doi.org/10.1038/s41598-025-01274-x

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