Literature DB >> 28008754

Risk factors for Gleason Score upgrading following radical prostatectomy.

David R Alchin1, Declan Murphy2, Nathan Lawrentschuk2,3,4.   

Abstract

INTRODUCTION: Gleason Score discordance can confound optimal treatment allocation of patients diagnosed with prostate cancer and place these patients at risk of worse oncological outcomes. Its prevalence remains endemic; its exact causation remains unknown. The objective of this review was to examine the observational studies of patient cohorts who have undergone radical prostatectomy with the aim of identifying any preoperative variables that may be associated with an upgrade in final prostatectomy Gleason Score. EVIDENCE ACQUISITION: A non-systematic review of English articles from 2010 to present was performed through a MEDLINE search. Search terms included "Gleason Score," "pathological," "upgrade," and "radical prostatectomy." EVIDENCE SYNTHESIS: All studies included for review were retrospective analyses of radical prostatectomy series that examined factors associated with Gleason Score discordance.
CONCLUSIONS: The various studies found that Gleason Score upgrading remains highly prevalent, and that some association can be seen with greater percent positive cores, longer biopsy core lengths, smaller prostate glands, higher percent tumor volume per gland, prostate-specific antigen density and visible lesions on multiparametric magnetic resonance imaging.

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Mesh:

Year:  2016        PMID: 28008754     DOI: 10.23736/S0393-2249.16.02684-9

Source DB:  PubMed          Journal:  Minerva Urol Nefrol        ISSN: 0393-2249            Impact factor:   3.720


  6 in total

1.  Proclarix, A New Biomarker for the Diagnosis of Clinically Significant Prostate Cancer: A Systematic Review.

Authors:  Míriam Campistol; Juan Morote; Lucas Regis; Ana Celma; Jacques Planas; Enrique Trilla
Journal:  Mol Diagn Ther       Date:  2022-04-26       Impact factor: 4.074

2.  Improving the detection of aggressive prostate cancer using immunohistochemical staining of protein marker panels.

Authors:  Qing Kay Li; Tung-Shing Mamie Lih; Yuefan Wang; Yingwei Hu; Naseruddin Höti; Daniel W Chan; Hui Zhang
Journal:  Am J Cancer Res       Date:  2022-03-15       Impact factor: 6.166

3.  Added Value of Biparametric MRI and TRUS-Guided Systematic Biopsies to Clinical Parameters in Predicting Adverse Pathology in Prostate Cancer.

Authors:  Hailang Liu; Kun Tang; Ding Xia; Xinguang Wang; Wei Zhu; Liang Wang; Weimin Yang; Ejun Peng; Zhiqiang Chen
Journal:  Cancer Manag Res       Date:  2020-08-24       Impact factor: 3.989

4.  Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models.

Authors:  Hailang Liu; Kun Tang; Ejun Peng; Liang Wang; Ding Xia; Zhiqiang Chen
Journal:  Cancer Manag Res       Date:  2020-12-22       Impact factor: 3.989

5.  TRUS-Guided Target Biopsy for a PI-RADS 3-5 Index Lesion to Reduce Gleason Score Underestimation: A Propensity Score Matching Analysis.

Authors:  Jae Hoon Chung; Byung Kwan Park; Wan Song; Minyong Kang; Hyun Hwan Sung; Hwang Gyun Jeon; Byong Chang Jeong; Seong Il Seo; Seong Soo Jeon; Hyun Moo Lee
Journal:  Front Oncol       Date:  2022-01-24       Impact factor: 6.244

6.  Prediction of Pathological Upgrading at Radical Prostatectomy in Prostate Cancer Eligible for Active Surveillance: A Texture Features and Machine Learning-Based Analysis of Apparent Diffusion Coefficient Maps.

Authors:  Jinke Xie; Basen Li; Xiangde Min; Peipei Zhang; Chanyuan Fan; Qiubai Li; Liang Wang
Journal:  Front Oncol       Date:  2021-02-04       Impact factor: 6.244

  6 in total

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