4.8 Article

Transcriptional profiling identifies an androgen receptor activity-low, stemness program associated with enzalutamide resistance

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1922207117

关键词

enzalutamide; resistance; androgen receptor; stemness

资金

  1. Stand Up to Cancer-Prostate Cancer Foundation (PCF) Prostate Dream Team Translational Cancer Research Grant [SU2C-AACR-DT0409]
  2. Movember Foundation
  3. Pacific Northwest Prostate Cancer Specialized Programs of Research Excellence (SPORE)/National Cancer Institute (NCI) [P50 CA097186]
  4. Michigan Prostate SPORE/NCI Grant [P50 CA186786]
  5. Knight Cancer Institute Biostatistics Shared Resource at Oregon Health & Science University Grant [P30 CA06953316, P30 CA051008-16]
  6. Rogel Scholar Award through the University of Michigan Rogel Cancer Center
  7. Wayne D. Kuni and Joan E. Kuni Foundation
  8. Astellas/Pfizer

向作者/读者索取更多资源

The androgen receptor (AR) antagonist enzalutamide is one of the principal treatments for men with castration-resistant prostate cancer (CRPC). However, not all patients respond, and resistance mechanisms are largely unknown. We hypothesized that genomic and transcriptional features from metastatic CRPC biopsies prior to treatment would be predictive of de novo treatment resistance. To this end, we conducted a phase II trial of enzalutamide treatment (160 mg/d) in 36 men with metastatic CRPC. Thirty-four patients were evaluable for the primary end point of a prostate-specific antigen (PSA)50 response (PSA decline >= 50% at 12 wk vs. baseline). Nine patients were classified as nonresponders (PSA decline <50%), and 25 patients were classified as responders (PSA decline >= 50%). Failure to achieve a PSA50 was associated with shorter progression-free survival, time on treatment, and overall survival, demonstrating PSA50's utility. Targeted DNA-sequencing was performed on 26 of 36 biopsies, and RNA-sequencing was performed on 25 of 36 biopsies that contained sufficient material. Using computational methods, we measured AR transcriptional function and performed gene set enrichment analysis (GSEA) to identify pathways whose activity state correlated with de novo resistance. TP53 gene alterations were more common in nonresponders, although this did not reach statistical significance (P = 0.055). AR gene alterations and AR expression were similar between groups. Importantly, however, transcriptional measurements demonstrated that specific gene sets-including those linked to low AR transcriptional activity and a stemness program-were activated in nonresponders. Our results suggest that patients whose tumors harbor this program should be considered for clinical trials testing rational agents to overcome de novo enzalutamide resistance.

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