ArticleEuropean urology2018
Validation of a Genomic Risk Classifier to Predict Prostate Cancer-specific Mortality in Men with Adverse Pathologic Features.
Article in European urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.
- Genomic classifiers and prognosis of localized prostate cancer: a systematic review.Prostate cancer and prostatic diseases · 2025Pooled it
- Assessment of biochemical recurrence of prostate cancer (Review).International journal of oncology · 2019Pooled it
- Annotation-Free Prediction of Cancer Cells and Glands and Spatial Analysis of Immune Cells.bioRxiv : the preprint server for biology · 2025Article
- Identifying the best candidate for focal therapy: a comprehensive review.Prostate cancer and prostatic diseases · 2025Review
- The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.Journal of personalized medicine · 2025Review
- Optimizing clinical risk stratification of localized prostate cancer.Current opinion in urology · 2025Review
- Integration of Genomic Tests in Prostate Cancer Care: Implications for Clinical Practice and Patient Outcomes.Current issues in molecular biology · 2024Review
- Molecular Hallmarks of Prostate-specific Membrane Antigen in Treatment-naïve Prostate Cancer.European urology · 2024Article
- Association of extended core sampling with delayed intervention and pathologic outcomes for active surveillance patients A population-based analysis.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024Article
- Review
- Article
- Active Surveillance in Intermediate-Risk Prostate Cancer: A Review of the Current Data.Cancers · 2022Review
- The Prognostic Value of Liquid Biopsies for Benefit of Salvage Radiotherapy in Relapsed Oligometastatic Prostate Cancer.Cancers · 2022Article
- Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race.European urology open science · 2022Article
- A Novel Risk Score (P-score) Based on a Three-Gene Signature, for Estimating the Risk of Prostate Cancer-Specific Mortality.Research and reports in urology · 2022Article
- Review
- Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study.NPJ precision oncology · 2021Article
- Prostate cancer.Nature reviews. Disease primers · 2021Review
- Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.Communications medicine · 2021Article
- Should androgen deprivation therapy and other systemic treatments be used in men with prostate cancer and a rising PSA post-local treatments?Therapeutic advances in medical oncology · 2021Review
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Authors and funding
12 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundRisk of prostate cancer-specific mortality (PCSM) is highly variable for men with adverse pathologic features at radical prostatectomy (RP); a majority will die of other causes. Accurately stratifying PCSM risk can improve therapy decisions.
objectiveValidate the 22 gene Decipher genomic classifier (GC) to predict PCSM in men with adverse pathologic features after RP. DESIGN, SETTING, AND
participantsMen with adverse pathologic features: pT3, pN1, positive margins, or Gleason score >7 who underwent RP in 1987-2010 at Johns Hopkins, Cleveland Clinic, Mayo Clinic, and Durham Veteran's Affairs Hospital. We also analyzed subgroups at high risk (prostate-specific antigen >20 ng/ml, RP Gleason score 8-10, or stage >pT3b), or very high risk of PCSM (biochemical recurrence in<2 yr [BCR2], or men who developed metastasis after RP [MET]). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Logistic regression evaluated the association of GC with PCSM within 10 yr of RP (PCSM10), adjusted for the Cancer of the Prostate Risk Assessment Postsurgical Score (CAPRA-S). GC performance was evaluated with area under the receiver operating characteristic curve (AUC) and decision curves. RESULTS AND LIMITATIONS: Five hundred and sixty-one men (112 with PCSM10), median follow-up 13.0 yr (patients without PCSM10). For high GC score (> 0.6) versus low-intermediate (≤ 0.6), the odds ratio for PCSM10 adjusted for CAPRA-S was 3.91 (95% confidence interval: 2.43-6.29), with AUC=0.77, an increase of 0.04 compared with CAPRA-S. Subgroup odds ratios were 3.96, 3.06, and 1.95 for high risk, BCR2, or MET, respectively (all p<0.05), with AUCs 0.64-0.72. GC stratified cumulative PCSM10 incidence from 2.8% to 30%. Combined use of case-control and cohort data is a potential limitation.
conclusionsIn a large cohort with the longest follow-up to date, Decipher GC demonstrated clinically important prediction of PCSM at 10 yr, independent of CAPRA-S, in men with adverse pathologic features, BCR2, or MET after RP. PATIENT SUMMARY: Decipher genomic classifier may improve treatment decision-making for men with adverse or high risk pathology after radical prostatectomy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.