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Tumor subtype defines distinct pathways of molecular and clinical progression in primary prostate cancer
Deli Liu, Michael A. Augello, Ivana Grbesa, Davide Prandi, Yang Liu, Jonathan E. Shoag, R. Jeffrey Karnes, Bruce J. Trock, Eric A. Klein, Robert B. Den, Francesca Demichelis, Elai Davicioni, Andrea Sboner, Christopher E. Barbieri
Deli Liu, Michael A. Augello, Ivana Grbesa, Davide Prandi, Yang Liu, Jonathan E. Shoag, R. Jeffrey Karnes, Bruce J. Trock, Eric A. Klein, Robert B. Den, Francesca Demichelis, Elai Davicioni, Andrea Sboner, Christopher E. Barbieri
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Clinical Research and Public Health Genetics Oncology

Tumor subtype defines distinct pathways of molecular and clinical progression in primary prostate cancer

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Abstract

BACKGROUND Molecular 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.METHODS We 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.RESULTS We 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.CONCLUSION These 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.FUNDING Prostate Cancer Foundation, National Cancer Institute, Urology Care Foundation, Damon Runyon Cancer Research Foundation, US Department of Defense, and the AIRC Foundation.

Authors

Deli Liu, Michael A. Augello, Ivana Grbesa, Davide Prandi, Yang Liu, Jonathan E. Shoag, R. Jeffrey Karnes, Bruce J. Trock, Eric A. Klein, Robert B. Den, Francesca Demichelis, Elai Davicioni, Andrea Sboner, Christopher E. Barbieri

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Figure 2

Transcriptional alterations of 2 distinct tumor lineage models: ERG/PTEN and SPOP/CHD1.

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Transcriptional alterations of 2 distinct tumor lineage models: ERG/PTEN...
(A) Two distinct tumor lineage models of PCa progression: ERG/PTEN and SPOP/CHD1 via ImpulseDE2 identified from TCGA cohort. Total genes in each category (transiently and progressively upregulated and downregulated) are represented in the bar plot with corresponding heatmaps. (B) Venn diagrams of shared and uniquely upregulated and downregulated genes between the 2 tumor lineage models. Numbers of shared and unique altered genes are indicated. (C) Normalized enrichment score (NES) from “early” to “late” states between the 2 tumor lineage models in TCGA and Taylor cohorts. R2 values of the linear regression model are shown. (D) Distinct pathways with NES from early to late events in TCGA cohort, ERG/PTEN mouse tissue, and Chd1 mouse organoid samples. (E) Divergent predicted upstream regulators from early to late events between the 2 tumor lineage models in TCGA cohort. Different colors represent upstream regulator groups.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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