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Tumor subtype defines distinct pathways of molecular and clinical progression in primary prostate cancer.
Liu, Deli; Augello, Michael A; Grbesa, Ivana; Prandi, Davide; Liu, Yang; Shoag, Jonathan E; Karnes, R Jeffrey; Trock, Bruce J; Klein, Eric A; Den, Robert B; Demichelis, Francesca; Davicioni, Elai; Sboner, Andrea; Barbieri, Christopher E.
Affiliation
  • Liu D; Sandra and Edward Meyer Cancer Center and.
  • Augello MA; Department of Urology, Weill Cornell Medicine, New York, New York, USA.
  • Grbesa I; HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, USA.
  • Prandi D; Englander Institute for Precision Medicine of Weill Cornell Medicine and NewYork-Presbyterian Hospital, New York, New York, USA.
  • Liu Y; Sandra and Edward Meyer Cancer Center and.
  • Shoag JE; Department of Urology, Weill Cornell Medicine, New York, New York, USA.
  • Karnes RJ; Sandra and Edward Meyer Cancer Center and.
  • Trock BJ; Department of Urology, Weill Cornell Medicine, New York, New York, USA.
  • Klein EA; Fondazione Bruno Kessler (FBK), Trento, Italy.
  • Den RB; GenomeDx Bioscience Inc, Vancouver, British Columbia, Canada.
  • Demichelis F; Department of Urology, Weill Cornell Medicine, New York, New York, USA.
  • Davicioni E; University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
  • Sboner A; Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
  • Barbieri CE; Department of Urology, Mayo Clinic, Rochester, Minnesota, USA.
J Clin Invest ; 131(10)2021 05 17.
Article in En | MEDLINE | ID: mdl-33998599
ABSTRACT
BACKGROUNDMolecular characterization of prostate cancer (PCa) has revealed distinct subclasses based on underlying genomic alterations occurring early in the natural history of the disease. However, how these early alterations influence subsequent molecular events and the course of the disease over its long natural history remains unclear.METHODSWe explored the molecular and clinical progression of different genomic subtypes of PCa using distinct tumor lineage models based on human genomic and transcriptomic data. We developed transcriptional classifiers, and defined "early" and "late" categories of molecular subclasses from 8,158 PCa patients. Molecular subclasses were correlated with clinical outcomes and pathologic characteristics using Kaplan-Meier and logistic regression analyses.RESULTSWe identified PTEN and CHD1 alterations as subtype-specific late progression events specifically in ERG-overexpressing (ERG+) and SPOP-mutant tumors, respectively, and 2 distinct progression models consisting of ERG/PTEN (normal to ERG+ to PTEN-deleted) and SPOP/CHD1 (normal to SPOP-mutated to CHD1-deleted) with shared early tumorigenesis but distinct pathways toward progression. We found that within ERG+ and SPOP-mutant subtypes, late events were associated with worse prognosis. Importantly, the clinical and pathologic features associated with distinct late events at radical prostatectomy were strikingly different; PTEN deletions were associated with increased locoregional stage, while CHD1 deletions were only associated with increased grade, despite equivalent metastatic potential.CONCLUSIONThese findings suggest a paradigm in which specific subtypes of PCa follow distinct pathways of progression, at both the molecular and clinical levels. Therefore, the interpretation of common clinical parameters such as locoregional tumor stage may be influenced by the underlying tumor lineage, and potentially influence management decisions.FUNDINGProstate Cancer Foundation, National Cancer Institute, Urology Care Foundation, Damon Runyon Cancer Research Foundation, US Department of Defense, and the AIRC Foundation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Biomarkers, Tumor / Registries / Databases, Nucleic Acid / RNA-Seq / Neoplasm Proteins Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male / Middle aged Language: En Journal: J Clin Invest Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Biomarkers, Tumor / Registries / Databases, Nucleic Acid / RNA-Seq / Neoplasm Proteins Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male / Middle aged Language: En Journal: J Clin Invest Year: 2021 Document type: Article