ArticleTranslational andrology and urology2025
Development and validation of tryptophan metabolism-related risk model and molecular subtypes for predicting postoperative biochemical recurrence in prostate cancer.
Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Metabolomics of Prostate Cancer and Clinical Profiles Following Radiotherapy: Need for a Precision Phylometabolomics Approach.Diagnostics (Basel, Switzerland) · 2025Article
- Development of a metabolism-associated prognostic risk model based on immune landscape stratification in prostate cancer.Discover oncology · 2025Article
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10 authors.
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Abstract
Background: Biochemical recurrence (BCR) following radical prostatectomy (RP) remains a major challenge in prostate cancer (PCa) management. Tryptophan metabolism plays a pivotal role in tumor progression and immune modulation. This study aimed to develop and validate a tryptophan metabolism-related risk model and molecular subtypes to predict BCR in PCa patients after RP. Methods: The Cancer Genome Atlas-Prostate Adenocarcinoma (TCGA-PRAD) dataset, including 421 PCa patients, was analyzed to identify key tryptophan metabolism-related genes (TMRGs) using differential expression, univariate Cox, and the least absolute shrinkage and selection operator (LASSO) regression analyses. The tryptophan metabolism-related risk model was constructed through multivariate Cox regression, and tryptophan metabolism-related molecular subtypes were established using consensus clustering. External validation was conducted using an independent dataset, while immunohistochemistry (IHC) and single-cell sequencing further confirmed TMRG expression patterns and their roles in the tumor microenvironment (TME). Results: The tryptophan metabolism-related risk model and molecular subtypes effectively stratified PCa patients into low- and high-risk groups or two molecular subtypes. High-risk PCa patients (n=211) and those in Cluster 1 (n=261) exhibited significantly poorer biochemical recurrence-free survival (BRFS) and distinct clinicopathological features, immune infiltration profiles, and TME characteristics. External validation confirmed the robustness of the tryptophan metabolism-related risk model and molecular subtypes. IHC and single-cell sequencing highlighted the expression patterns of TMRGs and their regulatory roles in the TME. Conclusions: This study established and validated tryptophan metabolism-related risk scores and molecular subtypes as reliable predictors of BCR in PCa patients after RP. These findings provide a foundation for personalized follow-up and treatment strategies, contributing to improved clinical outcomes in PCa management.
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