Literature DB >> 25831063

A systematic gene-gene and gene-environment interaction analysis of DNA repair genes XRCC1, XRCC2, XRCC3, XRCC4, and oral cancer risk.

Cheng-Hong Yang1, Yu-Da Lin, Ching-Yui Yen, Li-Yeh Chuang, Hsueh-Wei Chang.   

Abstract

Oral cancer is the sixth most common cancer worldwide with a high mortality rate. Biomarkers that anticipate susceptibility, prognosis, or response to treatments are much needed. Oral cancer is a polygenic disease involving complex interactions among genetic and environmental factors, which require multifaceted analyses. Here, we examined in a dataset of 103 oral cancer cases and 98 controls from Taiwan the association between oral cancer risk and the DNA repair genes X-ray repair cross-complementing group (XRCCs) 1-4, and the environmental factors of smoking, alcohol drinking, and betel quid (BQ) chewing. We employed logistic regression, multifactor dimensionality reduction (MDR), and hierarchical interaction graphs for analyzing gene-gene (G×G) and gene-environment (G×E) interactions. We identified a significantly elevated risk of the XRCC2 rs2040639 heterozygous variant among smokers [adjusted odds ratio (OR) 3.7, 95% confidence interval (CI)=1.1-12.1] and alcohol drinkers [adjusted OR=5.7, 95% CI=1.4-23.2]. The best two-factor based G×G interaction of oral cancer included the XRCC1 rs1799782 and XRCC2 rs2040639 [OR=3.13, 95% CI=1.66-6.13]. For the G×E interaction, the estimated OR of oral cancer for two (drinking-BQ chewing), three (XRCC1-XRCC2-BQ chewing), four (XRCC1-XRCC2-age-BQ chewing), and five factors (XRCC1-XRCC2-age-drinking-BQ chewing) were 32.9 [95% CI=14.1-76.9], 31.0 [95% CI=14.0-64.7], 49.8 [95% CI=21.0-117.7] and 82.9 [95% CI=31.0-221.5], respectively. Taken together, the genotypes of XRCC1 rs1799782 and XRCC2 rs2040639 DNA repair genes appear to be significantly associated with oral cancer. These were enhanced by exposure to certain environmental factors. The observations presented here warrant further research in larger study samples to examine their relevance for routine clinical care in oncology.

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Year:  2015        PMID: 25831063     DOI: 10.1089/omi.2014.0121

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  9 in total

1.  Single-Nucleotide Polymorphisms of Genes Involved in Repair of Oxidative DNA Damage and the Risk of Recurrent Depressive Disorder.

Authors:  Piotr Czarny; Dominik Kwiatkowski; Monika Toma; Piotr Gałecki; Agata Orzechowska; Kinga Bobińska; Anna Bielecka-Kowalska; Janusz Szemraj; Michael Berk; George Anderson; Tomasz Śliwiński
Journal:  Med Sci Monit       Date:  2016-11-20

2.  Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses.

Authors:  Cheng-Hong Yang; Sin-Hua Moi; Li-Yeh Chuang; Shyng-Shiou F Yuan; Ming-Feng Hou; Yi-Chen Lee; Hsueh-Wei Chang
Journal:  Biomed Res Int       Date:  2017-01-04       Impact factor: 3.411

3.  Haplotype analysis of XRCC2 gene polymorphisms and association with increased risk of head and neck cancer.

Authors:  Soma Saeed; Ishrat Mahjabeen; Romana Sarwar; Kashif Bashir; Mahmood Akhtar Kayani
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

Review 4.  Association of Smoking, Alcohol Use, and Betel Quid Chewing with Epigenetic Aberrations in Cancers.

Authors:  Tong-Hong Wang; Shih-Min Hsia; Yin-Hwa Shih; Tzong-Ming Shieh
Journal:  Int J Mol Sci       Date:  2017-06-06       Impact factor: 5.923

5.  Association between the XRCC3 Thr241Met Polymorphismzzm321990and Gastrointestinal Cancer Risk: A Meta-Analysis

Authors:  Mohammad Hossein Sahami-Fard; Ali Reza Mousa Mayali; Ahmad Tajehmiri
Journal:  Asian Pac J Cancer Prev       Date:  2016-10-01

6.  Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study.

Authors:  Cheng-Hong Yang; Li-Yeh Chuang; Cheng-San Yang; Huai-Shuo Yang
Journal:  JMIR Med Inform       Date:  2020-06-17

7.  Application of simulation-based CYP26 SNP-environment barcodes for evaluating the occurrence of oral malignant disorders by odds ratio-based binary particle swarm optimization: A case-control study in the Taiwanese population.

Authors:  Ping-Ho Chen; Li-Yeh Chuang; Kuo-Chuan Wu; Yan-Hsiung Wang; Tien-Yu Shieh; Jim Jinn-Chyuan Sheu; Hsueh-Wei Chang; Cheng-Hong Yang
Journal:  PLoS One       Date:  2019-08-29       Impact factor: 3.240

8.  Excision repair cross-complementing group 2 upregulation is a potential predictive biomarker for oral squamous cell carcinoma recurrence.

Authors:  Yen-Yun Wang; Pen-Tzu Fang; Chang-Wei Su; Yuk-Kwan Chen; Joh-Jong Huang; Ming-Yii Huang; Shyng-Shiou F Yuan
Journal:  Oncol Lett       Date:  2021-04-07       Impact factor: 2.967

9.  Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions.

Authors:  Cheng-Hong Yang; Li-Yeh Chuang; Yu-Da Lin
Journal:  Sci Rep       Date:  2017-10-09       Impact factor: 4.379

  9 in total

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