Literature DB >> 26272031

Multiparametric Magnetic Resonance Imaging Predicts Postoperative Pathology but Misses Aggressive Prostate Cancers as Assessed by Cell Cycle Progression Score.

Raphaële Renard-Penna1, Géraldine Cancel-Tassin2, Eva Comperat3, Justine Varinot4, Priscilla Léon5, Morgan Roupret6, Pierre Mozer5, Christophe Vaessen5, Olivier Lucidarme7, Marc-Olivier Bitker5, Olivier Cussenot8.   

Abstract

PURPOSE: We identified prognostic biomarkers in prostate cancer by a radiogenomics strategy that integrates gene expression using the cell cycle progression score and medical images.
MATERIALS AND METHODS: We obtained institutional review board approval and written informed consent from 106 men with prostate cancer, including 60% at low risk, who underwent multiparametric magnetic resonance imaging before radical prostatectomy was done and a cell cycle progression score was determined. The correlation between the results of multiparametric magnetic resonance imaging and Gleason grade or cell cycle progression score was assessed by logistic regression.
RESULTS: Patients with primary Gleason grade greater than 3 had a longer median maximal tumor diameter (13 vs 10 mm) and a lower median apparent diffusion coefficient (0.745 vs 0.88×10(-3) mm2 per second, each p=0.0001) than those with primary Gleason grade 3 or less. Maximal diameter 10 mm or greater (OR 4.9, 95% CI 1.7 to 14.0, p=0.0012) and apparent diffusion coefficient 0.80×10(-3) mm2 per second or less (OR 7.5, 95% CI 3.0 to 18.7, p<0.0001) were significantly associated with primary Gleason grade greater than 3. The combined measure of maximal diameter less than 10 mm and apparent diffusion coefficient greater than 0.80×10(-3) mm2 per second identified only index lesions harboring primary Gleason grade 3. However, 7 of those lesions showed a molecular pattern of high risk lethal prostate cancer (cell cycle progression score greater than 0).
CONCLUSIONS: Multiparametric magnetic resonance imaging is able to predict low and high risk Gleason scores in the tumor. However, the cell cycle progression score did not completely match the imaging result. These findings suggest that management of early stages prostate cancer could strongly benefit by performing magnetic resonance imaging targeted biopsy coupled with molecular analysis.
Copyright © 2015 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cell cycle; magnetic resonance imaging; neoplasm grading; prognosis; prostatic neoplasms

Mesh:

Year:  2015        PMID: 26272031     DOI: 10.1016/j.juro.2015.06.107

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  20 in total

1.  Apparent diffusion coefficient value is a strong predictor of unsuspected aggressiveness of prostate cancer before radical prostatectomy.

Authors:  Raphaele Renard Penna; Geraldine Cancel-Tassin; Eva Comperat; Pierre Mozer; Priscilla Léon; Justine Varinot; Morgan Roupret; Marc-Olivier Bitker; Olivier Lucidarme; Olivier Cussenot
Journal:  World J Urol       Date:  2016-02-22       Impact factor: 4.226

2.  Molecular alterations in prostate cancer and association with MRI features.

Authors:  D Lee; J Fontugne; N Gumpeni; K Park; T Y MacDonald; B D Robinson; A Sboner; M A Rubin; J M Mosquera; C E Barbieri
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-08-01       Impact factor: 5.554

Review 3.  The role of radiomics in prostate cancer radiotherapy.

Authors:  Rodrigo Delgadillo; John C Ford; Matthew C Abramowitz; Alan Dal Pra; Alan Pollack; Radka Stoyanova
Journal:  Strahlenther Onkol       Date:  2020-08-21       Impact factor: 3.621

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

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
Journal:  World J Urol       Date:  2018-04-20       Impact factor: 4.226

Review 5.  Background, current role, and potential applications of radiogenomics.

Authors:  Katja Pinker; Fuki Shitano; Evis Sala; Richard K Do; Robert J Young; Andreas G Wibmer; Hedvig Hricak; Elizabeth J Sutton; Elizabeth A Morris
Journal:  J Magn Reson Imaging       Date:  2017-11-02       Impact factor: 4.813

Review 6.  A review on the role of tissue-based molecular biomarkers for active surveillance.

Authors:  Sanoj Punnen
Journal:  World J Urol       Date:  2021-02-15       Impact factor: 4.226

Review 7.  [Multimodal, multiparametric and genetic breast imaging].

Authors:  Roberto LoGullo; Joao Horvat; Jeffrey Reiner; Katja Pinker
Journal:  Radiologe       Date:  2021-01-19       Impact factor: 0.635

8.  Evaluating Prostate Cancer Using Fractional Tissue Composition of Radical Prostatectomy Specimens and Pre-Operative Diffusional Kurtosis Magnetic Resonance Imaging.

Authors:  Edward M Lawrence; Anne Y Warren; Andrew N Priest; Tristan Barrett; Debra A Goldman; Andrew B Gill; Vincent J Gnanapragasam; Evis Sala; Ferdia A Gallagher
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

9.  Association between a 17-gene genomic prostate score and multi-parametric prostate MRI in men with low and intermediate risk prostate cancer (PCa).

Authors:  Michael S Leapman; Antonio C Westphalen; Niloufar Ameli; H Jeffrey Lawrence; Phillip G Febbo; Matthew R Cooperberg; Peter R Carroll
Journal:  PLoS One       Date:  2017-10-10       Impact factor: 3.240

Review 10.  Magnetic resonance imaging detection of prostate cancer in men with previous negative prostate biopsy.

Authors:  Matthew Truong; Thomas P Frye
Journal:  Transl Androl Urol       Date:  2017-06
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