Literature DB >> 21508389

Combined KRAS and TP53 mutation status is not predictive in CAPOX-treated metastatic colorectal cancer.

Menno T De Bruijn1, Daniëlle A E Raats, Jolien Tol, John Hinrichs, Steven Teerenstra, Cornelis J A Punt, Inne H M Borel Rinkes, Onno Kranenburg.   

Abstract

BACKGROUND: The response of colorectal tumours to chemotherapy is highly variable. Preclinical work has shown that the Kirsten ras (KRAS) oncogene sensitizes colorectal tumour cells to oxaliplatin and capecitabine in a wild-type tumour suppressor p53 (TP53)-dependent manner. Therefore, whether or not the combined mutation status of KRAS and TP53 could predict response to chemotherapy in metastatic colorectal cancer was tested. PATIENTS AND METHODS: A subgroup of patients from the CAIRO2 study (randomized phase III study on capecitabine, oxaliplatin, bevacizumab with or without cetuximab in first-line advanced colorectal cancer) that received capecitabine plus oxaliplatin (CAPOX) treatment in combination with bevacizumab was selected. The tumours were analyzed for KRAS and TP53 mutations by PCR/sequencing. The relationship between tumour response and genotype was analyzed.
RESULTS: The following KRAS/TP53 genotypes were identified: KRASmut/TP53mut n=21, KRASmut/TP53wt n=20, KRASwt/TP53mut n=25, KRASwt/TP53wt n=15. No genotype was associated with a significantly better or worse progression-free or overall survival.
CONCLUSION: The combined mutation status of KRAS and TP53 does not predict response to CAPOX in patients with metastasized colorectal cancer.

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Year:  2011        PMID: 21508389

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


  5 in total

Review 1.  Study of apoptosis-related interactions in colorectal cancer.

Authors:  Himanshu Arora; Rehana Qureshi; M A Rizvi; Sharad Shrivastava; Mordhwaj S Parihar
Journal:  Tumour Biol       Date:  2016-09-15

2.  Prognostic significance of serum p53 antibody according to KRAS status in metastatic colorectal cancer patients.

Authors:  Nobuya Daitoku; Yuji Miyamoto; Yuki Sakamoto; Ryuma Tokunaga; Yukiharu Hiyoshi; Yohei Nagai; Masaaki Iwatsuki; Shiro Iwagami; Naoya Yoshida; Hideo Baba
Journal:  Int J Clin Oncol       Date:  2019-12-13       Impact factor: 3.402

3.  Use of multivariate analysis to suggest a new molecular classification of colorectal cancer.

Authors:  Enric Domingo; Rajarajan Ramamoorthy; Dahmane Oukrif; Daniel Rosmarin; Michal Presz; Haitao Wang; Hannah Pulker; Helen Lockstone; Tarjei Hveem; Treena Cranston; Havard Danielsen; Marco Novelli; Brian Davidson; Zheng-Zhou Xu; Peter Molloy; Elaine Johnstone; Christopher Holmes; Rachel Midgley; David Kerr; Oliver Sieber; Ian Tomlinson
Journal:  J Pathol       Date:  2013-02       Impact factor: 7.996

4.  Comparative mutational landscape analysis of patient-derived tumour xenografts.

Authors:  Mariana Brait; Evgeny Izumchenko; Luciane T Kagohara; Samuel Long; Piotr T Wysocki; Brian Faherty; Elana J Fertig; Tin Oo Khor; Elizabeth Bruckheimer; Gilson Baia; Daniel Ciznadija; Ido Sloma; Ido Ben-Zvi; Keren Paz; David Sidransky
Journal:  Br J Cancer       Date:  2017-01-24       Impact factor: 7.640

Review 5.  The Role of p53 Dysfunction in Colorectal Cancer and Its Implication for Therapy.

Authors:  Maurice Michel; Leonard Kaps; Annett Maderer; Peter R Galle; Markus Moehler
Journal:  Cancers (Basel)       Date:  2021-05-11       Impact factor: 6.639

  5 in total

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