Literature DB >> 27769917

Challenges in the Diagnosis of Urothelial Carcinoma Variants: Can Emerging Molecular Data Complement Pathology Review?

James P Solomon1, Brett M Lowenthal1, A Karim Kader2, J Kellogg Parsons2, Thomas W Flaig3, Arlene O Siefker-Radtke4, Lars Dyrskjøt5, Donna E Hansel6.   

Abstract

Urothelial carcinoma can exhibit a wide variety of histopathologic phenotypes or variant morphologies, classifications of which have recently been revised in the 2016 World Health Organization Classification of Tumours of the Urinary System and Male Genital Organs. Many of these variants not only present diagnostic challenges, but also have clinical implications that affect patient prognosis and treatment strategies. This review will discuss these variant morphologies and their relationship to current understanding of the underlying biology of urothelial carcinoma and molecular classification paradigms.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27769917     DOI: 10.1016/j.urology.2016.10.014

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  4 in total

Review 1.  Variant Histology in Bladder Cancer-Current Understanding of Pathologic Subtypes.

Authors:  Manju Aron
Journal:  Curr Urol Rep       Date:  2019-11-28       Impact factor: 3.092

2.  Impact of Pathology Review in Adverse Histological Characteristics and pT Stages of Upper Tract Urothelial Cancer in a Multicenter Study.

Authors:  Chia-Hui Chang; Wen-Jeng Wu; Hsiang-Ying Lee; Chih-Hung Lin; Chung-Tai Yue; Yuan-Hong Jiang; Yu-Khun Lee; Kuan Hsun Huang; Yao Chou Tsai
Journal:  Front Oncol       Date:  2021-11-25       Impact factor: 6.244

Review 3.  Genomic heterogeneity in bladder cancer: challenges and possible solutions to improve outcomes.

Authors:  Joshua J Meeks; Hikmat Al-Ahmadie; Bishoy M Faltas; John A Taylor; Thomas W Flaig; David J DeGraff; Emil Christensen; Benjamin L Woolbright; David J McConkey; Lars Dyrskjøt
Journal:  Nat Rev Urol       Date:  2020-03-31       Impact factor: 14.432

Review 4.  Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer-narrative review.

Authors:  Radosław Piszczek; Wojciech Krajewski; Marco Moschini; Anna Kołodziej; Łukasz Nowak; Adrian Poterek; Romuald Zdrojowy
Journal:  Transl Cancer Res       Date:  2020-11       Impact factor: 1.241

  4 in total

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