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Erschienen in: Pathology & Oncology Research 3/2019

06.04.2018 | Original Article

A Multi-Institutional Validation of Gleason Score Derived from Tissue Microarray Cores

verfasst von: Sami-Ramzi Leyh-Bannurah, Dominique Trudel, Mathieu Latour, Emanuele Zaffuto, Andree-Anne Grosset, Christine Tam, Veronique Ouellet, Markus Graefen, Lars Budäus, Armen G. Aprikian, Louis Lacombe, Neil E. Fleshner, Martin E. Gleave, Anne-Marie Mes-Masson, Fred Saad, Pierre I Karakiewicz

Erschienen in: Pathology & Oncology Research | Ausgabe 3/2019

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Abstract

To test the agreement between high-grade PCa at RP and TMA, and the ability of TMA to predict BCR. Validation of concordance between tissue microarray (TMA) and radical prostatectomy (RP) high-grade prostate cancer (PCa) is crucial because latter determines the treated natural history of PCa. We hypothesized that TMA Gleason score is in agreement with RP pathology and capable of accurately predicting biochemical recurrence (BCR). Data were provided from a multi-institutional Canadian sample of 1333 TMA and RP specimens with complete clinicopathological data. First, rate of agreement between TMA and high-grade Gleason at RP or biopsy and RP was tested. Second, ability of RP, TMA and biopsy to predict BCR was compared. Multivariable (MVA) Cox regression models were fitted and BCR rates were illustrated with Kaplan-Meier plots. Agreement between RP and TMA and between RP and biopsy was 72.6% (95% CI:69.7–75.5) and 60.4% (95% CI:57.2–63.6), respectively. In MVA predicting BCR, the accuracy for RP, TMA and biopsy was 0.73, 0.72 and 0.68, respectively. TMA added discriminatory ability among exclusively low-grade Gleason RP patients (p = 0.02), but did not improve BCR discrimination in exclusive high-grade PCa RP patients (p = 0.8). TMA Gleason grade accurately reflects presence of high-grade Gleason in RP specimen, accurately predicts BCR rates after RP and improves prediction of BCR in low-grade Gleason patients at RP.
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Metadaten
Titel
A Multi-Institutional Validation of Gleason Score Derived from Tissue Microarray Cores
verfasst von
Sami-Ramzi Leyh-Bannurah
Dominique Trudel
Mathieu Latour
Emanuele Zaffuto
Andree-Anne Grosset
Christine Tam
Veronique Ouellet
Markus Graefen
Lars Budäus
Armen G. Aprikian
Louis Lacombe
Neil E. Fleshner
Martin E. Gleave
Anne-Marie Mes-Masson
Fred Saad
Pierre I Karakiewicz
Publikationsdatum
06.04.2018
Verlag
Springer Netherlands
Erschienen in
Pathology & Oncology Research / Ausgabe 3/2019
Print ISSN: 1219-4956
Elektronische ISSN: 1532-2807
DOI
https://doi.org/10.1007/s12253-018-0408-6

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