Literature DB >> 27282582

TP53 codon 72 polymorphism predicts chronic myeloid leukemia susceptibility and treatment outcome.

Natalia Weich1, Cristian Ferri1, Beatriz Moiraghi2, Raquel Bengió3, Isabel Giere4, Carolina Pavlovsky4, Irene Larripa1, Ariela Fundia5.   

Abstract

BCR-ABL1 gene is a key molecular marker of chronic myeloid leukemia (CML), but it is still unclear which molecular factors may influence CML risk or lead to variable responses to tyrosine kinase inhibitors (TKIs). The aim of this study was to investigate the impact of TP53 c.213 G>C(Arg72Pro; rs1042522) polymorphism on CML risk and its correlation with clinical outcome. Peripheral blood samples from 141 treated CML patients and 141 sex- and age-matched healthy individuals were genotyped by PCR-RFLP. Standard genetic models for disease penetrance were evaluated by logistic regression analysis and Kaplan-Meier method was performed to estimate survival curves. Our study suggests that TP53 c.213 G>C polymorphism may be involved in CML development considering a recessive model (p=0.01; OR: 0.19; CI: 0.06-0.68). In addition, a non-homogenous distribution was found for this polymorphism in males and patients youngers than 50years (p=0.02). According to clinical response, TP53-GG genotype was associated with higher levels of BCR-ABL1 transcripts (p=0.04) and shorter event free survival (p=0.04). Moreover, a trend toward significance was found for failure free survival (p=0.06) and time to imatinib failure (p=0.08). In conclusion, our data suggest that a;TP53 c.213 G>C may be a potential biomarker of CML susceptibility and clinical outcome.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CML biomarker; Chronic myeloid leukemia; TKI treatment response; TP53 polymorphism

Mesh:

Substances:

Year:  2016        PMID: 27282582     DOI: 10.1016/j.bcmd.2016.05.007

Source DB:  PubMed          Journal:  Blood Cells Mol Dis        ISSN: 1079-9796            Impact factor:   3.039


  5 in total

1.  Association of TP53 gene polymorphisms with the risk of acute lymphoblastic leukemia in Moroccan children.

Authors:  Hanaa Skhoun; Mohammed Khattab; Aziza Belkhayat; Zahra Takki Chebihi; Youssef Bakri; Nadia Dakka; Jamila El Baghdadi
Journal:  Mol Biol Rep       Date:  2022-06-15       Impact factor: 2.742

2.  TP53 Arg72 as a favorable prognostic factor for Chinese diffuse large B-cell lymphoma patients treated with CHOP.

Authors:  Yalu Liu; Xiaogan Wang; Ning Ding; Lan Mi; Lingyan Ping; Xuan Jin; Jiao Li; Yan Xie; Zhitao Ying; Weiping Liu; Chen Zhang; Lijuan Deng; Yuqin Song; Jun Zhu
Journal:  BMC Cancer       Date:  2017-11-10       Impact factor: 4.430

3.  Super-Enhancer-Associated Hub Genes In Chronic Myeloid Leukemia Identified Using Weighted Gene Co-Expression Network Analysis.

Authors:  Hongying Ma; Jian Qu; Jian Luo; Tingting Qi; Huanmiao Tan; Zhaohui Jiang; Haiwen Zhang; Qiang Qu
Journal:  Cancer Manag Res       Date:  2019-12-23       Impact factor: 3.989

Review 4.  Genetic Biomarkers in Chronic Myeloid Leukemia: What Have We Learned So Far?

Authors:  Bilal Abdulmawjood; Beatriz Costa; Catarina Roma-Rodrigues; Pedro V Baptista; Alexandra R Fernandes
Journal:  Int J Mol Sci       Date:  2021-11-19       Impact factor: 5.923

5.  Polymorphisms in the CYP2A6 and ABCC4 genes are associated with a protective effect on chronic myeloid leukemia in the Brazilian Amazon population.

Authors:  Natasha Monte; Karla B C C Pantoja; Juliana C G Rodrigues; Darlen C de Carvalho; Tereza C B Azevedo; Esdras E B Pereira; Paulo P de Assumpção; Sidney E B Dos Santos; Marianne R Fernandes; Ney P C Dos Santos
Journal:  Mol Genet Genomic Med       Date:  2021-05-29       Impact factor: 2.183

  5 in total

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