ArticleJournal of cancer research and clinical oncology2020
Cell cycle progression score improves risk stratification in prostate cancer patients with adverse pathology after radical prostatectomy.
Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genomic classifiers and prognosis of localized prostate cancer: a systematic review.Prostate cancer and prostatic diseases · 2025Pooled it
- New biomarkers and multiplex tests for diagnosis of aggressive prostate cancer and therapy management.Frontiers in oncology · 2025Review
- Integration of Genomic Tests in Prostate Cancer Care: Implications for Clinical Practice and Patient Outcomes.Current issues in molecular biology · 2024Review
- Development and Validation of a Multimodality Model Based on Whole-Slide Imaging and Biparametric MRI for Predicting Postoperative Biochemical Recurrence in Prostate Cancer.Radiology. Imaging cancer · 2024Article
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7 authors.
Funding
Abstract
objectiveTo assess the use of the cell cycle progression (CCP) score versus actual risk stratification practice in making treatment decisions for prostate cancer patients with locally adverse pathology after radical prostatectomy (RP). PATIENTS AND
methodsMen with adverse pathologic features, pT3 or positive surgical margins who underwent RP in 2010-2014 at Renji hospital were retrospectively analyzed. The primary outcome was biochemical recurrence (BCR) after RP. RNA was quantified from paraffin-embedded RP specimens. The CCP score was calculated as average expression of 31 CCP genes, normalized to 15 housekeeper genes. The prognostic utility of the CCP score was assessed using Kaplan-Meier analysis and multivariable Cox proportional hazards model.
resultsAmong the 100 men identified, 5-year BCR-free survival for the low- (< 0), intermediate- (0-1) and high- (> 1) CCP score groups was 89.3%, 38.8%, and 12.9%, respectively. In multivariable models adjusting for clinical and pathological variables with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score, both continuous CCP score [hazard ratio (HR) 1.373 per unit score, 95% confidence interval (CI) 1.006-1.874; p = 0.046) and the categorized CCP score (p < 0.001)were independent predictors of BCR.
conclusionsThe present study provides insights into the role the CCP score plays in risk stratification of this cohort and in determining candidacy for deferred secondary treatment. From our perspective, the CCP score allows better stratification and can help identifying patients at lower risk of disease recurrence who could benefit from a wait-and-see policy.
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