Purpose: to investigate genetic polymorphisms in GSTM1, GSTT1 and CYP1A1 and the association with the risk of oral cancer in the Jakarta population.

Method: A total of 81 cases and 162 controls matched for age and sex were selected from 5 hospitals in Jakarta. Sociodemographic data using questionnaires were obtained and peripheral blood samples were collected with informed consent for PCR-RFLP assay. Conditional logistic regression analysis was performed to obtain the association between the risk of oral cancer and GSTM1, GSTT1 and CYP1A1 polymorphisms.

Results: GSTM1 and GSTT1 null were slightly overrepresented among cases (60.5% and 45.7% respectively) compared to controls (55.6% and 41.4% respectively), but no statistically significant differences were observed. In contrast, the distribution of CYP1A1 polymorphism was higher among controls compared to cases (52.5 % versus 42.4 %). The odds ratio of null GSTM1 and GSTT1 genotypes was slightly higher compared to wild type genotypes (OR 1.19, 95% CI 0.70-2.02 and OR 1.19, 95% CI 0.72-2.05 respectively). Furthermore, the presence of CYP1A1 polymorphism did not increase the risk of oral cancer (OR 0.70, 95% 0.39-1.25).

Conclusion: Genetic polymorphisms of GSTM1, GSTT1 and CYP1A1 may not be risk factors for oral cancer in the Jakarta population.

Download full-text PDF

Source

Publication Analysis

Top Keywords

gstm1 gstt1
24
oral cancer
20
gstt1 cyp1a1
16
risk oral
16
genetic polymorphisms
8
polymorphisms gstm1
8
association risk
8
cancer jakarta
8
cyp1a1 polymorphism
8
119 95%
8

Similar Publications

Machine learning approaches and genetic determinants that influence the development of type 2 diabetes mellitus: a genetic association study in Brazilian patients.

Braz J Med Biol Res

December 2024

Laboratório de Patologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, GO, Brasil.

This genetic association study including 120 patients with type 2 diabetes mellitus (T2DM) and 166 non-diabetic individuals aimed to investigate the association of polymorphisms in the genes GSTM1 and GSTT1 (gene deletion), GSTP1 (rs1695), ACE (rs4646994), ACE2 (rs2285666), VEGF-A (rs28357093), and MTHFR (rs1801133) with the development of T2DM in the population of Goiás, Brazil. Additionally, the combined effects of these polymorphisms and the possible differences between sexes in susceptibility to the disease were evaluated. Finally, machine learning models were integrated to select the main risk characteristics for the T2DM diagnosis.

View Article and Find Full Text PDF

Glutathione S-transferases (GSTs) play a significant role in carcinogen detoxification, and hence, polymorphisms of this gene may lead to lung cancer susceptibility. Accordingly, this study is aimed at investigating GSTM1 and GSTT1 polymorphisms' association with lung cancer risk and their effects on the toxicities of platinum-based chemotherapy used to treat Bangladeshi lung cancer patients. The study subjects comprised 180 lung cancer patients and 200 healthy volunteers.

View Article and Find Full Text PDF

Background: Both cigarette smoking (CGS), through its role as a benzene source, and some metabolic detoxyfiying enzymes (EDTOX) polymorphisms that hamper its inactivation, are considered as risk factors for the development of myelodysplastic neoplasms (MDS) and related disorders. This study aims to confirm such associations.

Patients And Methods: We recruited 61 patients diagnosed with MDS following FAB Group criteria and 180 adults without peripheral blood cytopenia, and we analyzed: i) the crude odds-ratio (OR) for MDS between smokers and non-smokers, ii) the crude OR for MDS between homozygous individuals for the mutation NQO1C-T, or harboring deletions in the genes codyfing for GSTM1 y GSTT1, and those who did not show such genotypes, and iii) the OR for MDS between smokers and non-smokers, adjusted for other potential risk factors.

View Article and Find Full Text PDF

The U.S. Coast Guard led a clean-up response to the Deepwater Horizon (DWH) oil spill, the largest marine oil spill in history.

View Article and Find Full Text PDF

Introduction: Adverse drug reactions (ADRs) pose a significant challenge in clinical practice, impacting patient safety and treatment outcomes. Genetic variations in drug-metabolizing enzymes, particularly glutathione S-transferases (GSTs), have been implicated in modulating individual susceptibility to ADRs.

Areas Covered: This overview aims to explore the association between GSTs genetic polymorphisms and ADRs across diverse drug categories documented in current literature.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!