Telomere-related gene risk model predicts prognostic and immune microenvironment alterations in prostate cancer

Abstract The improvement of the prediction of prostate cancer (PCa) is a major challenge in disease management. This study analysed a total of 147,856 cells and identified 15 distinct cell types using single-cell RNA-sequencing (scRNA-seq) and bulk RNA-seq data from TCGA and GEO databases. Of these...

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Bibliographic Details
Main Authors: Danfeng Zhao, Zhenjie Zang, Haodong Li, Ruiyu Li, Guanbo Wang, Keqin Zhang, Tongxiang Diao, Qiang Fu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-98663-z
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