Literature DB >> 19505915

Association of genetic polymorphisms, mRNA expression of p53 and p21 with chronic benzene poisoning in a chinese occupational population.

Pin Sun1, Yulan Qiu, Zhongbin Zhang, Junxiang Wan, Tong Wang, Xipeng Jin, Qing Lan, Nathaniel Rothman, Zhao-lin Xia.   

Abstract

DNA damage induced by benzene reactive metabolites is thought of as an important mechanism underlying benzene hematotoxicity and genotoxicity, and genetic variation in cell-cycle control genes may contribute to susceptibility to chronic benzene poisoning (CBP). Using a case-control study that included 307 benzene-poisoned patients and 299 workers occupationally exposed to benzene in south China, we aimed to investigate the association between genetic polymorphisms of p53 and p21 and the odds of CBP. To investigate whether benzene exposure may influence mRNA expression of p53 and p21 in benzene-exposed workers, we also chose 39 CBP workers, 38 occupationally benzene-exposure workers, and 37 nonexposure workers in the same region of China. PCR-restriction fragment length polymorphism technique was applied to detect polymorphisms of p53 (rs17878362, rs1042522, and rs1625895) and p21 (rs1801270 and rs1059234), and real-time PCR was applied to detect the quantity of gene mRNA expression. We found that p21 C98A variant genotypes (CA+AA) or C70T variant genotypes (CT+TT) were associated with decreased odds of CBP [odds ratio (OR), 0.51; 95% confidence interval (95% CI), 0.32-0.83, and OR, 0.53; 95% CI, 0.29-0.95, respectively. Further analysis showed the decreased odds of CBP in the subjects with p21 CC/AT diplotype (OR, 0.51; 95% CI, 0.30-0.85). In addition, p53 mRNA expression of CBP workers or benzene-exposure workers was significantly lower than that of nonexposure workers. Although these results require confirmation and extension, our results show that polymorphisms in p21 may be protective against the risk of CBP in the Chinese occupational population.

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Year:  2009        PMID: 19505915     DOI: 10.1158/1055-9965.EPI-09-0140

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  7 in total

Review 1.  Current understanding of the mechanism of benzene-induced leukemia in humans: implications for risk assessment.

Authors:  Cliona M McHale; Luoping Zhang; Martyn T Smith
Journal:  Carcinogenesis       Date:  2011-12-12       Impact factor: 4.944

Review 2.  Advances in understanding benzene health effects and susceptibility.

Authors:  Martyn T Smith
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

3.  Relationships between metabolic and non-metabolic susceptibility factors in benzene toxicity.

Authors:  David Ross; Hongfei Zhou
Journal:  Chem Biol Interact       Date:  2009-11-24       Impact factor: 5.192

4.  [Relationship between p53 rs1625895 polymorphism and prognosis in diffuse large B-cell lymphoma].

Authors:  Y Tian; J Zhu
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-10-18

5.  Increased Δ133p53 mRNA in lung carcinoma corresponds with reduction of p21 expression.

Authors:  Aikaterini Fragou; Georgios Tzimagiorgis; Christos Karageorgopoulos; Nikolaos Barbetakis; Axilleas Lazopoulos; Maria Papaioannou; Costas Haitoglou; Sofia Kouidou
Journal:  Mol Med Rep       Date:  2017-02-02       Impact factor: 2.952

Review 6.  The effects of genetic polymorphisms on benzene-exposed workers: A systematic review.

Authors:  Verónica Ramírez-Lopera; Daniel Uribe-Castro; Henry Bautista-Amorocho; Jorge Alexander Silva-Sayago; Enrique Mateus-Sánchez; Wilman Yesid Ardila-Barbosa; Tania Liseth Pérez-Cala
Journal:  Health Sci Rep       Date:  2021-07-16

Review 7.  Applying a Weight-of-Evidence Approach to Evaluate Relevance of Molecular Landscapes in the Exposure-Disease Paradigm.

Authors:  Sherilyn A Gross; Kristen M Fedak
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

  7 in total

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