Comparative study of GST polymorphism in relation to age in COPD and lung cancer

Shukla, Rajni; Kant, Surya; Mittal, Balraj; Bhattacharya, Sandeep

doi:10.5578/tt.6252

Cited by 8 publications

(7 citation statements)

References 33 publications

(26 reference statements)

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“…Figure shows the selection and inclusion process. Thirty‐seven included articles were conducted in 16 countries: Korea, Japan, China, Brazil, Russia, United States, Turkey, Slovakia, Egypt, Tunisia, India, Croatia, Bulgaria, Kazakhstan, New Zealand and Serbia . Twenty‐three articles from 5 countries (Korea, Japan, China, India and Kazakhstan) were performed in Asian populations, 11 from 9 countries (Brazil, Russia, United States, Turkey, Bulgaria, Slovakia, New Zealand, Croatia and Serbia) in Caucasian populations and 3 from 2 countries (Egypt and Tunisia) in African populations.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 1 shows the selection and inclusion process. Thirty-seven included articles were conducted in 16 countries: Korea, 19,20 Japan, 21,22 China, [23][24][25][26][27][28][29][30][31][32] Brazil, 33 Russia, 34,35 United States, 36 Turkey, 37 Slovakia, 38 Egypt, 39,40 Tunisia, 41 India, [42][43][44][45][46][47][48][49] Croatia, 50 Bulgaria, 51 Kazakhstan, 52 New Zealand 53 and Serbia. 54,55 Twenty-three articles from 5 countries The main characteristics of included studies were present in Table 1.…”

Section: Characteristics Of Eligible Case-control Studiesmentioning

confidence: 99%

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Association between glutathione S‐transferase gene M1 and T1 polymorphisms and chronic obstructive pulmonary disease risk: A meta‐analysis

Ding

Wang

et al. 2018

Clinical Genetics

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Chronic obstructive pulmonary disease (COPD) is a severe lung disease characterized by long-term breathing problems. A series of studies have indicated that the glutathione S-transferase genes M1 and T1 are associated with COPD susceptibility; however, the result still remains inconclusive. This meta-analysis was performed to estimate the effect of GSTM1 and GSTT1 polymorphisms in COPD risk. Eligible case-control studies published between January 2000 and December 2017 was searched and retrieved. A total of 37 articles were screened out, including 4674 COPD patients and 5006 controls. Overall, our results found that GSTM1 and GSTT1 null genotypes significantly increased the risk of COPD (GSTM1: odds ratio [OR] = 1.52, 95% confidence interval [CI] = 1.31-1.77, P <.00001; GSTT1: OR = 1.28, 95% CI = 1.09-1.50, P = .003). Subgroup analysis by ethnicity suggested that there was a close association between GSTM1 null polymorphism and COPD susceptibility in each studied ethnicity, while GSTT1 null polymorphism only showed association with Asian COPD patients. Moreover, we also found that joint GSTM1/GSTT1 null genotypes showed a high association with increased COPD susceptibility (OR = 1.42, 95% CI = 1.21-1.66, P < .0001). In conclusion, our results indicated that GSTM1 null, GSTT1 null, and the combined GSTM1/GSTT1 null genotypes might be risk factors in the development of COPD. However, future case-control studies with large-scale participants are still required to further estimate these associations.

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Section: Resultsmentioning

confidence: 99%

Section: Characteristics Of Eligible Case-control Studiesmentioning

confidence: 99%

Association between glutathione S‐transferase gene M1 and T1 polymorphisms and chronic obstructive pulmonary disease risk: A meta‐analysis

Ding

Wang

et al. 2018

Clinical Genetics

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“…Several genome-wide association studies (GWAS) have so far identified 16 susceptibility loci (P 5.00 3 10 -8 ) worldwide that are associated with lung cancer risk [Wang et al, 2008;Hu et al, 2011;Dong et al, 2012] and four loci out of them showed evidences of association of lung cancer risk in smokers [Dong et al, 2012]. However, most of these reports were based on Caucasian and Chinese populations, and many identified risk alleles have not been adequately evaluated in Indian population in spite of several case-control investigations on the Indian population from different geographical zones [Sobti et al, 2003[Sobti et al, , 2004[Sobti et al, , 2008[Sobti et al, , 2009Sreeja et al, 2005Sreeja et al, , 2008aSreeja et al, , 2008bSreeja et al, , 2008cJain et al, 2005;Pachouri et al, 2006Pachouri et al, , 2007Kotnis et al, 2008;Shah et al, 2008;Singh et al, 2010Singh et al, , 2016Tilak et al, 2011Tilak et al, , 2013Ihsan et al, 2011a,;Kant Shukla et al, 2013;Natukula et al, 2013;Shukla et al, 2013;Bag et al, 2014;Phukan et al, 2014;Saikia et al, 2014;Uppal et al, 2014;Sharma et al, 2015;Kumari et al, 2016;Peddireddy et al, 2016]. To date, researchers have not been able to delineate the overall effect of the genes and the genetic variations on lung cancer susceptibility in the populations of Indian origin, due to certain conflicting results.…”

Section: Introductionmentioning

confidence: 99%

Association of 12 polymorphic variants conferring genetic risk to lung cancer in Indian population: An extensive meta‐analysis

Sengupta

Guha

Bhattacharjee

et al. 2017

Environ and Mol Mutagen

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Candidate gene as well as genome-wide association studies identified several polymorphic variants to be associated with lung cancer worldwide including in India. However, contradictory results have failed to estimate the overall effect of the polymorphic variants on the disease. Textmining was conducted on PubMed following specific search strings to gather all the publications related to genetic association with lung cancer in India. Out of 211 PubMed hits only 30 studies were selected for meta-analysis following specific inclusion criteria. Heterogeneity between studies was calculated by Cochran's Q-test (P < 0.05) and heterogeneity index (I ). Publication bias was visualized by funnel plots and Egger's regression test. For each variant, following a fixed-effect model, summary odds ratio (OR) along with 95% confidence interval (CI) was estimated. The meta-analysis revealed three polymorphic variants viz. 'deletion polymorphism (del1) (OR = 1.39, 95% CI = 1.03-1.87, P = 0.027) in GSTT1', 'deletion polymorphism (del2) (OR = 1.30, 95% CI = 1.01-1.67, P = 0.038) in GSTM1' and 'rs1048943 (OR = 1.98, 95% CI = 1.27-3.10, P = 0.002) in CYP1A1' to be associated with lung cancer. However, after multiple testing correction, only rs1048943 was found to be significantly associated (P value = 0.0321) with lung cancer. None of the polymorphic variants showed any evidence of heterogeneity between studies or of publication bias. Our meta-analysis revealed strong association of rs1048943 in CYP1A1, but a suggestive association of deletion polymorphisms in GSTT1 and GSTM1 with lung cancer, which provides a comprehensive insight on the overall effect of the polymorphic variants, reported in various case-control studies on Indian population, on the risk of lung cancer development. Environ. Mol. Mutagen. 58:688-700, 2017. © 2017 Wiley Periodicals, Inc.

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“…That is why the GST gene variants associated with a decline or lack of catalytic activity might increase the risk of T2D [17]. Moreover, it is known that GST gene polymorphisms are involved in the development of malignancies, such as gastric cancer [18], lung cancer [19] or colorectal cancer [7].…”

Section: Discussionmentioning

confidence: 99%

GST gene family polymorphism and the risk of colorectal cancer in patients with type 2 diabetes

Klusek¹,

Nasierowska‐Guttmejer²,

Orlewska³

et al. 2021

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Aim of the research:To investigate whether the polymorphisms of GSTP1, GSTT1 and GSTM1 genes are associated with colorectal cancer in a sample of Polish patients with and without type 2 diabetes. Material and methods: Over 200 patients aged > 40 years were recruited and divided into 4 age-matched groups: patients with diagnosed type 2 diabetes, patients with diagnosed type 2 diabetes and colorectal cancer, patients with colorectal cancer and without type 2 diabetes and patients without type 2 diabetes and without colorectal cancer. DNA for genetic testing was isolated from blood samples. The GST gene polymorphism was examined using qPCR method, with TaqMan probes. It included GSTP1 SNP Ile105Val (rs1695) polymorphism, and deletion of copies of GSTT1 and GSTM1 genes (genotypes GSTT1 null/null and GSTM1 null/null). Results: The analysis of the frequency of GST gene polymorphisms in the group of patients with type 2 diabetes and colorectal cancer compared to patients with type 2 diabetes showed no statistically significant differences. There were also no statistically significant differences in the distribution of GST gene polymorphisms between patients with diabetes or/and colorectal cancer and population without these diseases. Conclusions: Extending the analysis to further genetic and environmental factors and taking into account their mutual interactions is needed to search for the relationship between type 2 diabetes and an increased risk of colorectal cancer. StreszczenieCel pracy: Określenie, czy polimorfizmy genów GSTP1, GSTT1 i GSTM1 są związane z rakiem jelita grubego w populacji polskich pacjentów z cukrzycą typu 2 i bez cukrzycy. Materiał i metody: Ponad 200 pacjentów powyżej 40. roku życia zostało zrekrutowanych do badania i podzielonych na 4 grupy dopasowane wiekowo: pacjenci ze zdiagnozowaną cukrzycą typu 2, pacjenci ze zdiagnozowanymi cukrzycą typu 2 i rakiem jelita grubego, pacjenci z rakiem jelita grubego, bez cukrzycy typu 2, pacjenci bez raka jelita grubego i bez cukrzycy. DNA do badań genetycznych izolowano z próbek krwi. Polimorfizm genów GST badano z użyciem metody qPCR i sond typu Taqman. Badanie obejmowało polimorfizm typu SNP Ile105Val (rs 1695) oraz delecje kopii genów GSTT1 i GSTM1 (genotypy GSTT1 null/null oraz GSTM1 null/null). Wyniki: Analiza częstości występowania polimorfizmów genów GST u pacjentów z cukrzycą typu 2 i rakiem jelita grubego w porównaniu z pacjentami z cukrzycą typu 2 bez raka nie wykazała statystycznie istotnych różnic. Nie stwierdzono również istotnych różnic w dystrybucji polimorfizmów genów GST pomiędzy osobami z cukrzycą i/lub chorymi na raka jelita grubego a grupą bez tych schorzeń. Wnioski: W celu określenia związku pomiędzy cukrzycą typu 2 a zwiększonym ryzykiem wystąpienia raka jelita grubego konieczne jest rozszerzenie analizy o kolejne czynniki genetyczne i środowiskowe z uwzględnieniem ich wzajemnych interakcji.

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Comparative study of GST polymorphism in relation to age in COPD and lung cancer

Cited by 8 publications

References 33 publications

Association between glutathione S‐transferase gene M1 and T1 polymorphisms and chronic obstructive pulmonary disease risk: A meta‐analysis

Association between glutathione S‐transferase gene M1 and T1 polymorphisms and chronic obstructive pulmonary disease risk: A meta‐analysis

Association of 12 polymorphic variants conferring genetic risk to lung cancer in Indian population: An extensive meta‐analysis

GST gene family polymorphism and the risk of colorectal cancer in patients with type 2 diabetes

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