| Literature DB >> 28775993 |
Sadiq Nida1, Bhat Javid2, Masood Akbar1, Shah Idrees1, Wani Adil1, Ganai Bashir Ahmad3.
Abstract
Studies on associations of various polymorphisms in xenobiotic metabolizing genes with different cancers including acute lymphoblastic leukaemia (ALL) are mixed and inconclusive. The current study analyzed the relationship between polymorphisms of phase I xenobiotic metabolizing enzymes, cytochromes P450 1A1 (CYP1A1) and CYP2D6 and childhood ALL in Kashmir, India. We recruited 200 confirmed ALL cases, and an equal number of controls, matched for sex, age and district of residence to the respective case. Information was obtained on various lifestyle and environmental factors in face to face interviews with the parents/attendants of each subject. Genotypes of CYP1A1 and CYP2D6 were analyzed by polymerase chain reaction and restriction fragment length polymorphism method. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs). Compared to the GG genotype, we found a higher ALL risk in subjects who harbored variant (AA) genotype (OR=20.9; 95% CI: 6.01-73.1, P<0.0001) and AG genotype (OR=42.6; 95% CI: 8.3-217.5, P<0.0001) of CYP2D6*4 polymorphism. Although, we found a significant association of CYP1A1*2A polymorphism with ALL risk, but the risk did not persist in the adjusted model (OR=6.76; 95% CI: 0.63-71.8, P=0.100). The study indicates that unlike CYP1A1*2A, CYP2D6*4 polymorphism is associated with ALL risk. However, more replicative studies with larger sample size are needed to substantiate our findings.Entities:
Keywords: Acute Lymphoblastic Leukaemia; Kashmir; Polymorphism; Xenobiotics
Year: 2017 PMID: 28775993 PMCID: PMC5534522
Source DB: PubMed Journal: Mol Biol Res Commun ISSN: 2322-181X
Demographic characters of childhood ALL cases and controls
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| ≤5 | 110 (55.0) | 110 (55.0) | 1.000 |
| 6-10 | 60 (30.0) | 60 (30.0) | ||
| >10 | 30 (15.0) | 30 (15.0) | ||
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| Male | 120 (60.0) | 120 (60.0) | 1.000 |
| Female | 80 (40.0) | 80 (40.0) | ||
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| Urban | 65 (32.5) | 65 (32.5) | 1.000 |
| Rural | 135 (67.5) | 135 (67.5) | ||
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| Govt. employee | 20 (10.0) | 55 (27.5) | <0.001 |
| Business | 28 (14.0) | 45 (22.5) | ||
| Farmer | 66 (33.0) | 54 (27.0) | ||
| Labour | 86 (43.0) | 46 (23.0) | ||
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| Yes | 115 (57.5) | 95 (47.5) | 0.045 |
| No | 85 (42.5) | 105 (52.5) | ||
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| <10,000 | 108 (54.0) | 96 (48.0) | 0.230 |
| >10000 | 92 (46.0) | 104 (52.0) | ||
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| Yes | 95 (47.5) | 105 (52.5) | 0.317 |
| No | 105 (52.5) | 95 (47.5) | ||
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| Yes | 105 (52.5) | 85 (42.5) | 0.045 |
| No | 95 (47.5) | 115 (57.5) | ||
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| Yes | 72 (36.0) | 66 (33.0) | 0.527 |
| No | 128 (64.0) | 134 (67.0) |
Chi- square test (χ2) was used to calculate P-values for categorical variables. n, number of individuals
Distribution of CYP1A1*2A and CYP2D6*4 genotypes among cases and controls and their interaction among themselves in modulating the risk of ALL in Kashmir, India
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| TT | 142 (71.0) | 168 (84.0) | 1.0 | 1.0 | - |
| CT | 53 (26.5) | 31 (15.5) | 2.14 (1.30 – 3.56) | 1.32 (0.71 – 2.48) | 0.005 |
| CC | 5 (2.5) | 1 (0.5) | 9.70 (1.07 – 87.83) | 6.76 (0.63 – 71.88) | 0.100 |
| CC+TC | 58 (29.0) | 32 (16.0) | 2.18 (1.32 – 3.61) | 1.36 (0.73 – 2.53) | 0.002 |
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| GG | 86 (43.0 | 190 (95.0) | 1.0 | 1.0 | - |
| AG | 43 (21.5) | 6 (3.0) | 26.3 (6.54 – 105.5) | 42.67 (8.37 – 217.5) | <0.0001 |
| AA | 71 (35.5) | 4 (2.0) | 27.43 (8.73 – 86.14) | 20.96 (6.01 – 73.13) | <0.0001 |
| AA+AG | 114 (57.0) | 10 (5.0) | 27.0 (9.95 – 73.24) | 27.73 (9.12 – 84.32) | <0.0001 |
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| TT+GG | 61 (30.5) | 162 (81.0) | 1.0 | 1.0 | |
| CC+TC & GG | 25 (12.5) | 28 (14.0) | 32.68 (10.49 – 101.8) | 50.2 (12.57 – 200.7) | |
| TT & (AA+AG) | 81 (40.5) | 6 (3.0) | 2.02 (0.98 – 4.16) | 1.24 (0.48 – 3.22) | |
| CC+TC & AA+AG | 33 (16.5) | 4 (2.0) | 26.40 (6.19 – 112.6) | 8.81 (2.07 – 37.57) | |
OR=odds ratio.
CI=confidence interval
Adjusted ORs were obtained from conditional logistic regression models when adjusted for age, family history, parental education level, paternal occupation, place of residence, socioeconomic status and paternal smoking.