Background: Some studies have investigated the association of GSTM1, GSTT1, GSTM3, and GSTP1 polymorphisms with susceptibility to osteosarcoma; however, these studies results are inconsistent and inconclusive. In order to drive a more precise estimation, the present case-control study and meta-analysis was performed to investigate association of GSTM1, GSTT1, GSTM3, and GSTP1 polymorphisms with osteosarcoma. Methods: Eligible articles were identified by a search of several electronic databases for the period up to May 5, 2018. Odds ratios were pooled using either fixed-effects or random effects models. Results: Finally, a total of 24 case-control studies with 2,405 osteosarcoma cases and 3,293 controls were included in the present meta-analysis. Overall, significantly increased osteosarcoma risk was found when all studies were pooled into the meta-analysis of GSTT1 (Null vs. Present: OR= 1.247 95% CI 1.020-1.524, P= 0.031) and GSTP1 polymorphism (B vs. A: OR= 8.899 95% CI 2.722-29.094, P≤0.001). In the stratified, significantly increased osteosarcoma risk was observed for GSTT1 polymorphism among Asians (Null vs. Present: OR= 1.300 95% CI 1.034-1.635, P= 0.025), but not among Caucasians. Conclusions: This meta-analysis demonstrated that GSTP1 and GSTT1 null genotype are associated with the risk of osteosarcoma. Future large welldesigned epidemiological studies are warranted to validate our results.
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http://dx.doi.org/10.31557/APJCP.2019.20.3.675 | DOI Listing |
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 PDFJ Cancer Epidemiol
November 2024
Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Med Clin (Barc)
November 2024
Servicio de Hematología y Hemoterapia, Hospital Universitario de León, León, España. Electronic address:
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.
Sci Total Environ
December 2024
Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA. Electronic address:
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 PDFExpert Opin Drug Metab Toxicol
November 2024
Medical Biotechnology Laboratory, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco.
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.
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