Comparison of cell cycle progression score with two immunohistochemical markers (PTEN and Ki-67) for predicting outcome in prostate cancer after ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-09

AUTHORS

Priscilla Léon, Geraldine Cancel-Tassin, Sara Drouin, Marie Audouin, Justine Varinot, Eva Comperat, Xavier Cathelineau, François Rozet, Christophe Vaessens, Steven Stone, Julia Reid, Zaina Sangale, Patrick Korman, Morgan Rouprêt, Gaelle Fromond-Hankard, Olivier Cussenot

ABSTRACT

PURPOSE: Previous studies of the cell cycle progression (CCP) score in surgical specimens of prostate cancer (PCa) in patients treated by radical prostatectomy (RP) demonstrated significant association with time to biochemical recurrence (BCR). In this study, we compared the ability of the CCP score and the expression of PTEN or Ki-67 to predict BCR in a cohort of patients treated by RP. Finally, we constructed the best predictive model for BCR, incorporating biomarkers and relevant clinical variables. MATERIALS AND METHODS: The study population consisted of 652 PCa patients enrolled in a retrospective cohort and who had RP surgery in French urological centers from 2000 to 2007. RESULTS: Among the 652 patients with CCP scores and complete clinical data, BCR events occurred in 41%, and the median time from surgery to the last follow-up among BCR-free patients was 72 months. In univariate Cox analysis, the continuous CCP score and positive Ki-67 predicted recurrence with a HR of 1.44 (95% CI 1.17-1.75; p = 5.3 × 10-4) and 1.89 (95% CI 1.38-2.57; p = 1.6 × 10-4), respectively. In contrast, PTEN expression was not associated with BCR risk. Of the three biomarkers, only the CCP score remained significantly associated in a multivariable Cox model (p = 0.026). The best model incorporated CAPRA-S and CCP scores as predictors, with HRs of 1.32 and 1.24, respectively. CONCLUSION: The CCP score was superior to the two IHC markers (PTEN and Ki-67) for predicting outcome in PCa after RP. More... »

PAGES

1495-1500

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00345-018-2290-y

DOI

http://dx.doi.org/10.1007/s00345-018-2290-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103496715

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29679140


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