Literature DB >> 30266310

Intratumoral Heterogeneity of Bladder Cancer by Molecular Subtypes and Histologic Variants.

Joshua I Warrick1, Gottfrid Sjödahl2, Matthew Kaag3, Jay D Raman3, Suzanne Merrill3, Lauren Shuman4, Guoli Chen4, Vonn Walter5, David J DeGraff6.   

Abstract

Molecular subtyping may inform on prognosis and treatment response in bladder cancer. However, intratumoral molecular heterogeneity is not well studied in this disease and could complicate efforts to use molecular subtyping to guide patient management. To investigate intratumoral heterogeneity in bladder cancer, we examined molecular subtypes in a consecutive, retrospective cystectomy series of histologic variant bladder cancers and conventional urothelial carcinomas co-occurring with them. Molecular subtypes were assigned as per the approach reported by Lund University, an approach that incorporates cell cycle alterations and markers of differentiation, to give the urothelial-like, genomically unstable, basal-squamous, mesenchymal-like, and neuroendocrine-like subtypes. The majority (93%) of tumors were classified as urothelial like, genomically unstable, or basal squamous. Among patients with more than one tumor histology, 39% demonstrated molecular heterogeneity among the different tumor histologies. This was greatest for the basal-squamous subtype, 78% of which co-occurred with either urothelial-like or genomically unstable carcinoma (among cases with multiple histologies). In contrast, there was no co-occurrence of urothelial-like and genomically unstable carcinoma in the same patient. The findings indicate that bladder cancer is often molecularly heterogeneous, particularly in the basal-squamous subtype. This raises the concern for sampling error in laboratory tests that guide therapy based on molecular subtyping. Patient summary: In this report, we investigated molecular diversity among different areas from the same tumor in patients with bladder cancer. We found that different areas from the same tumor are often molecularly different. We conclude that this biological diversity must be taken into account when interpreting clinical molecular tests performed on bladder cancer samples.
Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Histologic variant; Intratumoral heterogeneity; Molecular subtype

Mesh:

Year:  2018        PMID: 30266310     DOI: 10.1016/j.eururo.2018.09.003

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  57 in total

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Review 2.  Contemporary Molecular Classification of Urinary Bladder Cancer.

Authors:  Dimitrios Goutas; Andrianos Tzortzis; Harikleia Gakiopoulou; Dimitrios Vlachodimitropoulos; Ioanna Giannopoulou; Andreas C Lazaris
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3.  Bladder cancer under staging: still unavoidable?

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Journal:  Transl Androl Urol       Date:  2019-12

4.  Hypermethylation of FOXA1 and allelic loss of PTEN drive squamous differentiation and promote heterogeneity in bladder cancer.

Authors:  Vasty Osei-Amponsa; Jenna M Buckwalter; Lauren Shuman; Zongyu Zheng; Hironobu Yamashita; Vonn Walter; Thomas Wildermuth; Justine Ellis-Mohl; Chang Liu; Joshua I Warrick; Lisa M Shantz; Robert P Feehan; Hikmat Al-Ahmadie; Cathy Mendelsohn; Jay D Raman; Klaus H Kaestner; Xue-Ru Wu; David J DeGraff
Journal:  Oncogene       Date:  2019-10-21       Impact factor: 9.867

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Journal:  Virchows Arch       Date:  2020-01-08       Impact factor: 4.064

6.  ΔNp63 transcript loss in bladder cancer constitutes an independent molecular predictor of TaT1 patients post-treatment relapse and progression.

Authors:  Maria-Alexandra Papadimitriou; Margaritis Avgeris; Panagiotis K Levis; Theodoros Tokas; Konstantinos Stravodimos; Andreas Scorilas
Journal:  J Cancer Res Clin Oncol       Date:  2019-10-08       Impact factor: 4.553

7.  Morphological correlation of urinary bladder cancer molecular subtypes in radical cystectomies.

Authors:  Lisa Han; Alexander J Gallan; Gary D Steinberg; Randy F Sweis; Gladell P Paner
Journal:  Hum Pathol       Date:  2020-09-26       Impact factor: 3.466

8.  Multiresolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes From Primary Tumors in Bladder Cancer.

Authors:  Stephanie A Harmon; Thomas H Sanford; G Thomas Brown; Chris Yang; Sherif Mehralivand; Joseph M Jacob; Vladimir A Valera; Joanna H Shih; Piyush K Agarwal; Peter L Choyke; Baris Turkbey
Journal:  JCO Clin Cancer Inform       Date:  2020-04

9.  CDK7 blockade suppresses super-enhancer-associated oncogenes in bladder cancer.

Authors:  Yafei Yang; Donggen Jiang; Ziyu Zhou; Haiyun Xiong; Xiangwei Yang; Guoyu Peng; Wuchao Xia; Shang Wang; Hanqi Lei; Jing Zhao; Zhirong Qian; Song Wu; Jun Pang
Journal:  Cell Oncol (Dordr)       Date:  2021-04-27       Impact factor: 6.730

Review 10.  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

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