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A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population
BACKGROUND/AIMS: Bangladesh is a densely populated country with an increased incidence of lung cancer, mostly due to smoking. Therefore, elucidating the association of mouse double minute 2 homolog (MDM2) single nucleotide polymorphism (SNP) 309 (rs2279744) with lung cancer risk from smoking in Bang...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association of Internal Medicine
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214377/ https://www.ncbi.nlm.nih.gov/pubmed/32392664 http://dx.doi.org/10.3904/kjim.2018.125 |
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author | Reza, Hasan Al Anamika, Wardatul Jannat Chowdhury, Md. Miraj Kobad Mostafa, Mohammad Golam Uddin, M. Aftab |
author_facet | Reza, Hasan Al Anamika, Wardatul Jannat Chowdhury, Md. Miraj Kobad Mostafa, Mohammad Golam Uddin, M. Aftab |
author_sort | Reza, Hasan Al |
collection | PubMed |
description | BACKGROUND/AIMS: Bangladesh is a densely populated country with an increased incidence of lung cancer, mostly due to smoking. Therefore, elucidating the association of mouse double minute 2 homolog (MDM2) single nucleotide polymorphism (SNP) 309 (rs2279744) with lung cancer risk from smoking in Bangladeshi population has become necessary. METHODS: DNA was extracted from blood samples of 126 lung cancer patient and 133 healthy controls. The MDM2 SNP309 was genotyped by polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP), using the restriction enzymes MspA1I. Logistic regression was then carried out to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to estimate the risk of lung cancer. A meta-analysis of SNP309 was also carried out on 12,758 control subjects and 11,638 patient subjects. RESULTS: In multivariate logistic regression, significantly increased risk of lung cancer was observed for MDM2 SNP309 in the dominant model (TG + GG vs. TT: OR, 2.13; 95% CI, 1.29 to 3.53). Stratification analysis revealed that age, sex, obesity, and smoking also increases the risk of lung cancer when carrying the MDM2 SNP309. Our meta-analysis revealed that MDM2 SNP309 was considerably associated with lung cancer in Asian populations (TG + GG vs. TT: OR, 1.32; 95% CI , 1.12 to 1.56; p = 0.019 for heterogeneity). CONCLUSIONS: The MDM2 SNP309 was associated with high risk of lung cancer in Bangladeshi and Asian population, particularly with increased age, smoking, and body mass index. |
format | Online Article Text |
id | pubmed-7214377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Association of Internal Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-72143772020-05-22 A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population Reza, Hasan Al Anamika, Wardatul Jannat Chowdhury, Md. Miraj Kobad Mostafa, Mohammad Golam Uddin, M. Aftab Korean J Intern Med Original Article BACKGROUND/AIMS: Bangladesh is a densely populated country with an increased incidence of lung cancer, mostly due to smoking. Therefore, elucidating the association of mouse double minute 2 homolog (MDM2) single nucleotide polymorphism (SNP) 309 (rs2279744) with lung cancer risk from smoking in Bangladeshi population has become necessary. METHODS: DNA was extracted from blood samples of 126 lung cancer patient and 133 healthy controls. The MDM2 SNP309 was genotyped by polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP), using the restriction enzymes MspA1I. Logistic regression was then carried out to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to estimate the risk of lung cancer. A meta-analysis of SNP309 was also carried out on 12,758 control subjects and 11,638 patient subjects. RESULTS: In multivariate logistic regression, significantly increased risk of lung cancer was observed for MDM2 SNP309 in the dominant model (TG + GG vs. TT: OR, 2.13; 95% CI, 1.29 to 3.53). Stratification analysis revealed that age, sex, obesity, and smoking also increases the risk of lung cancer when carrying the MDM2 SNP309. Our meta-analysis revealed that MDM2 SNP309 was considerably associated with lung cancer in Asian populations (TG + GG vs. TT: OR, 1.32; 95% CI , 1.12 to 1.56; p = 0.019 for heterogeneity). CONCLUSIONS: The MDM2 SNP309 was associated with high risk of lung cancer in Bangladeshi and Asian population, particularly with increased age, smoking, and body mass index. The Korean Association of Internal Medicine 2020-05 2020-04-29 /pmc/articles/PMC7214377/ /pubmed/32392664 http://dx.doi.org/10.3904/kjim.2018.125 Text en Copyright © 2020 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Reza, Hasan Al Anamika, Wardatul Jannat Chowdhury, Md. Miraj Kobad Mostafa, Mohammad Golam Uddin, M. Aftab A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population |
title | A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population |
title_full | A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population |
title_fullStr | A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population |
title_full_unstemmed | A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population |
title_short | A cohort study on the association of MDM2 SNP309 with lung cancer risk in Bangladeshi population |
title_sort | cohort study on the association of mdm2 snp309 with lung cancer risk in bangladeshi population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214377/ https://www.ncbi.nlm.nih.gov/pubmed/32392664 http://dx.doi.org/10.3904/kjim.2018.125 |
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