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A Systematic Review of the Evidence for the Decipher Genomic Classifier in Prostate Cancer.
Jairath, Neil K; Dal Pra, Alan; Vince, Randy; Dess, Robert T; Jackson, William C; Tosoian, Jeffrey J; McBride, Sean M; Zhao, Shuang G; Berlin, Alejandro; Mahal, Brandon A; Kishan, Amar U; Den, Robert B; Freedland, Stephen J; Salami, Simpa S; Kaffenberger, Samuel D; Pollack, Alan; Tran, Phuoc; Mehra, Rohit; Morgan, Todd M; Weiner, Adam B; Mohamad, Osama; Carroll, Peter R; Cooperberg, Matthew R; Karnes, R Jeffrey; Nguyen, Paul L; Michalski, Jeff M; Tward, Jonathan D; Feng, Felix Y; Schaeffer, Edward M; Spratt, Daniel E.
Afiliação
  • Jairath NK; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
  • Dal Pra A; Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Vince R; Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • Dess RT; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
  • Jackson WC; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
  • Tosoian JJ; Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • McBride SM; Department of Radiation Oncology, Memorial Sloan Kettering, New York, NY, USA.
  • Zhao SG; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
  • Berlin A; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
  • Mahal BA; Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA; McGraw-Patterson Center for Population Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Kishan AU; Department of Radiation Oncology, UCLA, Los Angeles, CA, USA.
  • Den RB; Department of Radiation Oncology, Thomas Jefferson, Philadelphia, PA, USA.
  • Freedland SJ; Division of Urology, Department of Surgery, Cedars Sinai, Los Angeles, CA, USA; Section of Urology, Durham VA Medical Center, Durham, NC, USA.
  • Salami SS; Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • Kaffenberger SD; Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • Pollack A; Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Tran P; Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD, USA.
  • Mehra R; Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Morgan TM; Department of Urology, University of Michigan, Ann Arbor, MI, USA.
  • Weiner AB; Department of Urology, Northwestern University, Chicago, IL, USA.
  • Mohamad O; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Carroll PR; Department of Urology, University of California San Francisco, San Francisco, CA, USA.
  • Cooperberg MR; Department of Urology, University of California San Francisco, San Francisco, CA, USA.
  • Karnes RJ; Department of Urology, Mayo Clinic, Rochester, MN, USA.
  • Nguyen PL; Department of Radiation Oncology, Dana Farber, Boston, MA, USA.
  • Michalski JM; Department of Radiation Oncology, Washington University St Louis, St. Louis, MO, USA.
  • Tward JD; Department of Radiation Oncology, University of Utah, Salt Lake City, UT, USA.
  • Feng FY; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Schaeffer EM; Department of Urology, Northwestern University, Chicago, IL, USA.
  • Spratt DE; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA. Electronic address: sprattda@med.umich.edu.
Eur Urol ; 79(3): 374-383, 2021 03.
Article em En | MEDLINE | ID: mdl-33293078
ABSTRACT
CONTEXT Molecular biomarkers aim to address the established limitations of clinicopathologic factors to accurately risk stratify patients with prostate cancer (PCa). Questions remain as to whether sufficient evidence supports adoption of these biomarkers for clinical use.

OBJECTIVE:

To perform a systematic review of the available evidence supporting the clinical utility of the Decipher genomic classifier (GC). EVIDENCE ACQUISITION The review was performed as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines by searching PubMed and conference abstracts from January 2010 to June 2020. Evidence was then graded using the criteria of Simon et al (Simon RM, Paik S, Hayes DF. Use of archived specimens in evaluation of prognostic and predictive biomarkers. J Natl Cancer Inst 2009;1011446-52) and American Urology Association (AUA) criteria. EVIDENCE

SYNTHESIS:

In total, 42 studies and 30407 patients were included. GC performance data were available for localized, postprostatectomy, nonmetastatic castration-resistant, and metastatic hormone-sensitive PCa as part of retrospective studies (n=12141), prospective registries (n=17053), and prospective and post hoc randomized trial analyses (n=1213). In 32 studies (n=12600), the GC was independently prognostic for all study endpoints (adverse pathology, biochemical failure, metastasis, and cancer-specific and overall survival) on multivariable analysis and improved the discrimination over standard of care in 24 studies (n=8543). GC use changed the management in active surveillance (number needed to test [NNT]=9) and postprostatectomy (NNT=1.5-4) settings in five studies (n=4331). Evidence strength was levels 1 and 2 by the Simon criteria for all disease states other than high-risk PCa, and grades A and B by AUA criteria depending on disease state.

CONCLUSIONS:

Consistent data are now present from diverse levels of evidence, which when viewed together, have demonstrated clinical utility of the GC in PCa. The utility of the GC is strongest for intermediate-risk PCa and postprostatectomy decision-making. PATIENT

SUMMARY:

In this paper, we review the evidence of the Decipher genomic classification tool for men with prostate cancer. We found consistent evidence that the test helps identify which cancers are more or less aggressive, which in turn aids in personalized treatment decision-making.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Eur Urol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Eur Urol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos