ArticleCancer science2026
Genomic Profiling in Localized Prostate Cancer: Associations With Biochemical Recurrence and Response to Salvage Radiotherapy.
Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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8 authors.
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Abstract
The clinical significance of comprehensive genomic profiling (CGP) has been established in metastatic castration-resistant prostate cancer (PC). However, the role of genomic profiling in localized PC remains unclear. In this exploratory study, we evaluated somatic genomic alterations in localized PC using an in-house CGP platform to examine their associations with biochemical recurrence (BCR) and recurrence-free survival (RFS) after radical prostatectomy. DNA extracted from surgical specimens of 314 patients with localized PC was analyzed for alterations in 164 cancer-related genes. Six genes (PTEN, BRCA2, POLD1, ERBB3, MYC, and SETD2) were more frequently altered in patients who developed BCR in exploratory analyses. Patients harboring alterations in any of these genes (n = 96) showed higher pathological T stage, increased BCR rates (27.1% vs. 6.4%), and inferior RFS compared with alteration-negative patients (n = 218; p < 0.001). In multivariate analysis, the presence of these alterations was independently associated with worse RFS. Among individual genes, BRCA2 alteration, and particularly BRCA2-SETD2 co-alteration, were associated with unfavorable outcomes, although the latter finding was based on a limited number of cases. In patients who developed BCR, alterations were associated with shorter PSA doubling time and poorer outcomes after salvage radiotherapy, particularly in margin-negative cases; however, these subgroup analyses were based on small numbers and should be interpreted as hypothesis-generating. These findings suggest that somatic genomic alterations identified at prostatectomy are associated with early recurrence in localized PC. Further validation in independent cohorts is required to determine whether genomic profiling may contribute to future risk stratification and management strategies.
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