Unravelling TPX2-centered co-expression networks as key drivers of aggressive prostate cancer

Abstract Prostate cancer (PCa) progression is driven by complex molecular reprogramming, yet distinguishing indolent from aggressive disease remains a challenge. We performed an integrative transcriptomic analysis of 1232 PCa samples spanning normal prostate and all major disease stages including pr...

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Hlavní autoři:	Raheleh Sheibani-Tezerji, Carlos Uziel Perez Malla, Gabriel Wasinger, Katarina Misura, Astrid Haase, Anna Malzer, Jessica Kalla, Loan Tran, Gerda Egger
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-12-01
Edice:	Scientific Reports
Témata:	Machine learning WGCNA RNA-Seq SHAP Unsupervised consensus clustering Prostate cancer
On-line přístup:	https://doi.org/10.1038/s41598-025-27704-4
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