Literature DB >> 25750322

Aberrant P53 expression lacks prognostic or predictive significance in colorectal cancer: results from the VICTOR trial.

Megan J McGregor1, Wakkas Fadhil2, Rose Wharton3, Yoko Yanagisawa1, Michael Presz1, Alison Pritchard4, Chris Womack4, Susan Dutton3, Rachel S Kerr1, David J Kerr5, Elaine C Johnstone1, Mohammad Ilyas6.   

Abstract

AIM: Biomarkers with prognostic and predictive value can help stratify patients with colorectal cancer (CRC) into appropriate treatment groups. We sought to evaluate the clinical utility of P53 protein expression as a biomarker in VICTOR, a large phase III trial of rofecoxib in stage II and III CRC. PATIENTS AND METHODS: Tissue micro arrays were constructed from 884 tumors and the expression of P53 was examined by immunohistochemistry. Tumors were dichotomised as either P53-positive (nuclear expression in >10% of cells or the 'absent' pattern, both representing TP53 mutation) or P53-negative (nuclear expression in <10% of cells).
RESULTS: Aberrant P53 expression was found in 65% (482/740) of patients. It was associated with distal location (p<0.001) and stage III disease (p<0.001). No effect was observed on disease-free or overall survival, and there was no interaction with chemotherapy or radiotherapy.
CONCLUSION: Analysis of P53 expression in the patients recruited to the VICTOR trial confirmed that P53 expression is associated with site and stage of CRC. However, independently, this biomarker has neither prognostic nor predictive utility in this cohort of patients. Copyright
© 2015 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Entities:  

Keywords:  Colorectal cancer; P53; biomarkers; immunohistochemistry; prognosis

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Year:  2015        PMID: 25750322

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  3 in total

1.  Overexpression of TP53 protein is associated with the lack of adjuvant chemotherapy benefit in patients with stage III colorectal cancer.

Authors:  David S Williams; Dmitri Mouradov; Clare Browne; Michelle Palmieri; Meg J Elliott; Rebecca Nightingale; Catherine G Fang; Rita Li; John M Mariadason; Ian Faragher; Ian T Jones; Leonid Churilov; Niall C Tebbutt; Peter Gibbs; Oliver M Sieber
Journal:  Mod Pathol       Date:  2019-08-30       Impact factor: 7.842

2.  Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers.

Authors:  Jie Shu; G E Dolman; Jiang Duan; Guoping Qiu; Mohammad Ilyas
Journal:  Biomed Eng Online       Date:  2016-04-27       Impact factor: 2.819

3.  A novel TP53 pathway influences the HGS-mediated exosome formation in colorectal cancer.

Authors:  Yulin Sun; Weiwei Zheng; Zhengguang Guo; Qiang Ju; Lin Zhu; Jiajia Gao; Lanping Zhou; Fang Liu; Yang Xu; Qimin Zhan; Zhixiang Zhou; Wei Sun; Xiaohang Zhao
Journal:  Sci Rep       Date:  2016-06-17       Impact factor: 4.379

  3 in total

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