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Analysis of a Biopsy-Based Genomic Classifier in High-Risk Prostate Cancer: Meta-Analysis of the NRG Oncology/Radiation Therapy Oncology Group 9202, 9413, and 9902 Phase 3 Randomized Trials.
Nguyen, Paul L; Huang, Huei-Chung Rebecca; Spratt, Daniel E; Davicioni, Elai; Sandler, Howard M; Shipley, William U; Efstathiou, Jason A; Simko, Jeffry P; Pollack, Alan; Dicker, Adam P; Roach, Mack; Rosenthal, Seth A; Zeitzer, Kenneth L; Mendez, Lucas C; Hartford, Alan C; Hall, William A; Desai, Anand B; Rabinovitch, Rachel A; Peters, Christopher A; Rodgers, Joseph P; Tran, Phuoc; Feng, Felix Y.
Afiliação
  • Nguyen PL; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts; Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts. Electronic address: paul_nguyen@dfci.harvard.edu.
  • Huang HR; GenomeDx Inc, Vancouver, British Columbia, Canada; Decipher Biosciences, San Diego, California; Veracyte, South San Francisco CA.
  • Spratt DE; Department of Radiation Oncology, UH Cleveland Medical Center, Cleveland, Ohio.
  • Davicioni E; Decipher Biosciences, San Diego, California; Veracyte, South San Francisco CA.
  • Sandler HM; Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California.
  • Shipley WU; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Efstathiou JA; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Simko JP; Department of Pathology, UCSF Medical Center-Mount Zion, San Francisco, California.
  • Pollack A; Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida.
  • Dicker AP; Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania.
  • Roach M; Department of Pathology, UCSF Medical Center-Mount Zion, San Francisco, California.
  • Rosenthal SA; Department of Radiation Oncology, Sutter Cancer Centers Radiation Oncology Services, Roseville, California.
  • Zeitzer KL; Department of Radiation Oncology, Einstein Medical Center, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania.
  • Mendez LC; Department of Radiation Oncology, London Regional Cancer Program, London, Ontario, Canada.
  • Hartford AC; Department of Radiation Oncology, Dartmouth-Hitchcock Medical Center/Norris Cotton Cancer Center, Lebanon, New Hampshire.
  • Hall WA; Department of Radiation Oncology, Froedtert and the Medical College of Wisconsin, Milwaukee, Wisconsin.
  • Desai AB; Department of Radiation Oncology, Summa Health System, Akron, Ohio.
  • Rabinovitch RA; Department of Radiation Oncology, University of Colorado Denver, Aurora, Colorado.
  • Peters CA; Department of Radiation Oncology, Northeast Radiation Oncology Center, Dunmore, Pennsylvania.
  • Rodgers JP; NRG Oncology Statistics and Data Management Center.
  • Tran P; Department of Radiation Oncology, University of Maryland, Baltimore, Maryland.
  • Feng FY; Department of Radiation Oncology, UCSF Medical Center-Mission Bay, San Francisco, California.
Int J Radiat Oncol Biol Phys ; 116(3): 521-529, 2023 07 01.
Article em En | MEDLINE | ID: mdl-36596347
ABSTRACT

PURPOSE:

Decipher is a genomic classifier (GC) prospectively validated postprostatectomy. We validated the performance of the GC in pretreatment biopsy samples within the context of 3 randomized phase 3 high-risk definitive radiation therapy trials. METHODS AND MATERIALS A prespecified analysis plan (NRG-GU-TS006) was approved to obtain formalin-fixed paraffin-embedded tissue from biopsy specimens from the NRG biobank from patients enrolled in the NRG/Radiation Therapy Oncology Group (RTOG) 9202, 9413, and 9902 phase 3 randomized trials. After central review, the highest-grade tumors were profiled on clinical-grade whole-transcriptome arrays and GC scores were obtained. The primary objective was to validate the independent prognostic ability for the GC for distant metastases (DM), and secondary for prostate cancer-specific mortality (PCSM) and overall survival (OS) with Cox univariable and multivariable analyses.

RESULTS:

GC scores were obtained on 385 samples, of which 265 passed microarray quality control (69%) and had a median follow-up of 11 years (interquartile range, 9-13). In the pooled cohort, on univariable analysis, the GC was shown to be a prognostic factor for DM (per 0.1 unit; subdistribution hazard ratio [sHR], 1.29; 95% confidence interval [CI], 1.18-1.41; P < .001), PCSM (sHR, 1.28; 95% CI, 1.16-1.41; P < .001), and OS (hazard ratio [HR], 1.16; 95% CI, 1.08-1.22; P < .001). On multivariable analyses, the GC (per 0.1 unit) was independently associated with DM (sHR, 1.22; 95% CI, 1.09-1.36), PCSM (sHR, 1.23; 95% CI, 1.09-1.39), and OS (HR, 1.12; 95% CI, 1.05-1.20) after adjusting for age, Prostate Specific Antigen, Gleason score, cT stage, trial, and randomized treatment arm. GC had similar prognostic ability in patients receiving short-term or long-term androgen-deprivation therapy, but the absolute improvement in outcome varied by GC risk.

CONCLUSIONS:

This is the first validation of a gene expression biomarker on pretreatment prostate cancer biopsy samples from prospective randomized trials and demonstrates an independent association of GC score with DM, PCSM, and OS. High-risk prostate cancer is a heterogeneous disease state, and GC can improve risk stratification to help personalize shared decision making.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans / Male Idioma: En Revista: Int J Radiat Oncol Biol Phys Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans / Male Idioma: En Revista: Int J Radiat Oncol Biol Phys Ano de publicação: 2023 Tipo de documento: Article