Literature DB >> 30694570

Evolution, controversies and the future of prostate cancer grading.

Lars Egevad1, Brett Delahunt2, John Yaxley3, Hemamali Samaratunga4.   

Abstract

Histological grading of prostate cancer is one of the most important tissue-based parameters for prediction of outcome and treatment response. Gleason grading remains the foundation of prostate cancer grading, but has undergone a series of changes in the past 30 years, often initiated by consensus conference decisions. This review summarizes the most important modifications that were introduced by the 2005 and 2014 International Society of Urological Pathology (ISUP) revisions of Gleason grading and discusses the impact that these have had on current grading practices. A considerable inflation in Gleason scores has been observed, especially following the ISUP 2005 revision, and the effects of this are discussed. ISUP 2014 grading recommendations are described, including the reporting of ISUP grades 1-5. Controversial issues include methods for reporting of grades on needle biopsies, reporting of percent Gleason grades 4/5 and grading of cribriform and intraductal carcinoma of the prostate. Educational programs developed recently to promote standardization of grading are described and their results assessed.
© 2019 Japanese Society of Pathology and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Gleason; International Society of Urological Pathology; grading; prognosis; prostate cancer

Mesh:

Year:  2019        PMID: 30694570     DOI: 10.1111/pin.12761

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  3 in total

Review 1.  Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway.

Authors:  Tristan Barrett; Maarten de Rooij; Francesco Giganti; Clare Allen; Jelle O Barentsz; Anwar R Padhani
Journal:  Nat Rev Urol       Date:  2022-09-27       Impact factor: 16.430

2.  RNA m6A Methylation Regulators Multi-Omics Analysis in Prostate Cancer.

Authors:  Hao Su; Yutao Wang; Hongjun Li
Journal:  Front Genet       Date:  2021-11-26       Impact factor: 4.599

3.  Artificial Intelligence Combined With Big Data to Predict Lymph Node Involvement in Prostate Cancer: A Population-Based Study.

Authors:  Liwei Wei; Yongdi Huang; Zheng Chen; Hongyu Lei; Xiaoping Qin; Lihong Cui; Yumin Zhuo
Journal:  Front Oncol       Date:  2021-10-14       Impact factor: 6.244

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.