Literature DB >> 33563539

Prognostic markers in pT3 bladder cancer: A study from the international bladder cancer tissue microarray project.

Gang Wang1, Peter C Black2, Peter J Goebell3, Lingyun Ji4, Carlos Cordon-Cardo5, Bernd Schmitz-Dräger6, Debra Hawes7, Bogdan Czerniak8, Sarah Minner9, Guido Sauter9, Frederic Waldman10, Susan Groshen4, Richard J Cote11, Colin P Dinney12.   

Abstract

PURPOSE: We evaluated the prognostic value of 10 putative tumor markers by immunohistochemistry in a large multi-institutional cohort of patients with locally advanced urothelial cancer of the bladder (UCB) with the aim to validate their clinical value and to harmonize protocols for their evaluation.
MATERIALS AND METHODS: Primary tumor specimens from 576 patients with pathologic (p)T3 UCB were collected from 24 institutions in North America and Europe. Three replicate 0.6-mm core diameter samples were collected for the construction of a tissue microarray (TMA). Immunohistochemistry (IHC) for 10 previously described tumor markers was performed and scored at 3 laboratories independently according to a standardized protocol. Associations between marker positivity and freedom from recurrence (FFR) or overall survival (OS) were analyzed separately for each individual laboratory using Cox regression analysis.
RESULTS: The overall agreement of the IHC scoring among laboratories was poor. Correlation among the 3 laboratories varied across the 10 markers. There was generally a lack of association between the individual markers and FFR or OS. The number of altered cell cycle regulators (p53, Rb, and p21) was associated with increased risk of cancer recurrence (P < 0.032). There was no clear pattern in the relationship between the percentage of markers altered in an 8-marker panel and FFR or OS.
CONCLUSIONS: This large international TMA of locally advanced (pT3) UCB suggests that altered expression of p53, Rb, and p21 is associated with worse outcome. However this study also highlights limitations in the reproducibility of IHC even in the most expert hands.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Prognostic Markers; Tissue microarray

Mesh:

Substances:

Year:  2021        PMID: 33563539      PMCID: PMC8501538          DOI: 10.1016/j.urolonc.2021.01.021

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   2.954


  42 in total

1.  p53 immunohistochemistry in bladder cancer. Combined analysis: a way to go?

Authors: 
Journal:  Urol Oncol       Date:  2000-09-01       Impact factor: 3.498

2.  Differential expression of progression-related genes in the evolution of superficial to invasive transitional cell carcinoma of the bladder.

Authors:  J I Izawa; J W Slaton; D Kedar; T Karashima; P Perrotte; B Czerniak; H B Grossman; C P Dinney
Journal:  Oncol Rep       Date:  2001 Jan-Feb       Impact factor: 3.906

3.  Inverse relation of E-cadherin and autocrine motility factor receptor expression as a prognostic factor in patients with bladder carcinomas.

Authors:  T Otto; W Birchmeier; U Schmidt; A Hinke; J Schipper; H Rübben; A Raz
Journal:  Cancer Res       Date:  1994-06-15       Impact factor: 12.701

4.  Distinctive expression pattern of ErbB family receptors signifies an aggressive variant of bladder cancer.

Authors:  Wassim Kassouf; Peter C Black; Tomasz Tuziak; Jolanta Bondaruk; Sangkyou Lee; Gordon A Brown; Liana Adam; Caimiao Wei; Keith Baggerly; Menashe Bar-Eli; David McConkey; Bogdan Czerniak; Colin P Dinney
Journal:  J Urol       Date:  2007-11-19       Impact factor: 7.450

5.  Multiple biomarkers improve prediction of bladder cancer recurrence and mortality in patients undergoing cystectomy.

Authors:  Shahrokh F Shariat; Pierre I Karakiewicz; Raheela Ashfaq; Seth P Lerner; Ganesh S Palapattu; Richard J Cote; Arthur I Sagalowsky; Yair Lotan
Journal:  Cancer       Date:  2008-01-15       Impact factor: 6.860

6.  Identification and prognostic significance of an epithelial-mesenchymal transition expression profile in human bladder tumors.

Authors:  Egbert Baumgart; Michael S Cohen; Brasil Silva Neto; Micah A Jacobs; Chad Wotkowicz; Kimberly M Rieger-Christ; Andreia Biolo; Ron Zeheb; Massimo Loda; John A Libertino; Ian C Summerhayes
Journal:  Clin Cancer Res       Date:  2007-03-15       Impact factor: 12.531

7.  Molecular Subtype Profiling of Urothelial Carcinoma Using a Subtype-Specific Immunohistochemistry Panel.

Authors:  Gottfrid Sjödahl
Journal:  Methods Mol Biol       Date:  2018

8.  Combined effects of p53, p21, and pRb expression in the progression of bladder transitional cell carcinoma.

Authors:  Sunanda J Chatterjee; Ram Datar; David Youssefzadeh; Ben George; Peter J Goebell; John P Stein; Lillian Young; Shan-Rong Shi; Conway Gee; Susan Groshen; Donald G Skinner; Richard J Cote
Journal:  J Clin Oncol       Date:  2004-02-23       Impact factor: 44.544

Review 9.  Clinicopathological and Prognostic Value of Ki-67 Expression in Bladder Cancer: A Systematic Review and Meta-Analysis.

Authors:  Yuejun Tian; Zhiming Ma; Zhaohui Chen; Mingguo Li; Zhiping Wu; Mei Hong; Hanzhang Wang; Robert Svatek; Ronald Rodriguez; Zhiping Wang
Journal:  PLoS One       Date:  2016-07-13       Impact factor: 3.240

10.  Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.

Authors:  Guy Nir; Davood Karimi; S Larry Goldenberg; Ladan Fazli; Brian F Skinnider; Peyman Tavassoli; Dmitry Turbin; Carlos F Villamil; Gang Wang; Darby J S Thompson; Peter C Black; Septimiu E Salcudean
Journal:  JAMA Netw Open       Date:  2019-03-01
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