Dataset Information

The association between polymorphisms in the MDR1 gene and risk of cancer: a systematic review and pooled analysis of 52 case-control studies.

ABSTRACT: BACKGROUND:The multidrug resistance (MDR) 1 gene encodes a 170-kDa membrane transporter called P-glycoprotein, which plays an important role in protecting cells against lipophilic xenobiotics by the way of an ATP-dependent cellular efflux mechanism. Three polymorphisms of MDR1, 3435C > T located in exon 26, 1236C > T in exon 12 and 2677G > T/A in exon 21 were the most extensively studied and were identified functionally important and ethnically diverse mapping to the gene region. Considering the potential influence of altering MDR1 activity, it is plausible that MDR1 polymorphisms might play a role in the development of cancer. Although the effects of MDR1 polymorphisms on susceptibility to human cancer have been investigated in many studies, the results still remain conflicting. METHODS:To resolve these conflicts, we performed a quantitative synthesis of the association between these three polymorphisms and cancer risk, including 52 studies (15789 cases and 20274 controls) for 3435C > T polymorphism, 10 studies (2101 cases and 2842 controls) for 1236C > T polymorphism and 18 studies (3585 cases and 4351 controls) for 2677G > T/A polymorphism. RESULTS:The stratified analyses for 3435C > T polymorphism, individuals with T-allele in 3435C > T had significantly higher ALL risks (TT versus CC: OR =1.286, 95% CI =1.123-1.474); significantly elevated risks were observed among Caucasian populations (TT versus CC: OR =1.276, 95% CI =1.112-1.464). When restricting the analysis to the source of controls, we found that HB (hospital-based) genetic models had higher risks (TT versus CC: OR =1.307, 95% CI =1.046-1.632), as well as in PB (population-based) genetic models (TT versus CC: OR =1.294, 95% CI =1.079-1.55).The T/A-allele frequency of 2677G > T/A polymorphism was associated with higher risk of cancer (TT + TA + AA vs. GG: OR =1.348, 95% CI =1.031-1.762), significantly elevated risks were observed among Asian populations (TT + TA + AA vs. GG: OR =1.642, 95% CI =1.340-2.012), and elevated risks could be associated with PB models (TT + TA + AA vs. GG: OR =1.641, 95% CI =1.018-2.646). CONCLUSIONS:Our meta-analysis suggested that 3435C > T polymorphism and 2677G > T/A polymorphism were associated with cancer risk when all studies were pooled together, while 1236C > T polymorphism not.

SUBMITTER: Wang LH

PROVIDER: S-EPMC3669001 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The association between polymorphisms in the MDR1 gene and risk of cancer: a systematic review and pooled analysis of 52 case-control studies.

Wang Ling-Hui LH Song Yan-Bin YB Zheng Wen-Ling WL Jiang Ling L Ma Wen-Li WL

Cancer cell international 20130520 1

<h4>Background</h4>The multidrug resistance (MDR) 1 gene encodes a 170-kDa membrane transporter called P-glycoprotein, which plays an important role in protecting cells against lipophilic xenobiotics by the way of an ATP-dependent cellular efflux mechanism. Three polymorphisms of MDR1, 3435C > T located in exon 26, 1236C > T in exon 12 and 2677G > T/A in exon 21 were the most extensively studied and were identified functionally important and ethnically diverse mapping to the gene region. Conside ...[more]

PMID: 23687985

Similar Datasets

Project description:BACKGROUND: HIF-1 (hypoxia-inducible factor 1) is a transcriptional activator that functions as a critical regulator of oxygen homeostasis. Recently, a large number of epidemiological studies have investigated the relationship between HIF-1? C1772T/G1790A polymorphisms and cancer susceptibility. However, the results remain inconclusive. Therefore, we performed a meta-analysis on all of the available case-control studies to systematically summarize the possible association. METHODS: A literature search was performed using PubMed and the Web of Science database to obtain relevant published studies. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) for the relationship between HIF-1? C1772T/G1790A polymorphisms and cancer susceptibility were calculated using fixed- and random-effects models when appropriate. Heterogeneity tests, sensitivity analyses and publication bias assessments were also performed in our meta-analysis. RESULTS: A total of 40 studies met the inclusion criteria were included in the meta-analysis: 40 studies comprised of 10869 cases and 14289 controls for the HIF-1? C1772T polymorphism and 30 studies comprised of 7117 cases and 10442 controls for the HIF-1? G1790A polymorphism. The results demonstrated that there were significant association between the HIF-1? C1772T polymorphism and cancer susceptibility under four genetic models (TT vs. CC: OR = 1.63, 95% CI = 1.02-2.60; CT + TT vs. CC: OR = 1.15, 95% CI = 1.01-1.34; TT vs. CT + CC: OR = 2.11, 95% CI = 1.32-3.77; T vs. C: OR = 1.21, 95% CI = 1.04-1.41). Similarly, the statistically significant association between the HIF-1? G1790A polymorphism and cancer susceptibility was found to be consistently strong in all of the genetic models. Moreover, increased cancer risk was observed when the data were stratified by cancer type, ethnicity and the source of controls. CONCLUSIONS: This meta-analysis demonstrates that both the C1772T and G1790A polymorphisms in the HIF-1? gene likely contribute to increased cancer susceptibility, especially in the Asian population and in breast cancer, lung cancer, pancreatic cancer and oral cancer. However, further research is necessary to evaluate the relationship between these polymorphisms and cancer risk.

Project description:BACKGROUND:The X-ray repair cross-complementing group 3 (XRCC3) is an efficient component of homologous recombination and is required for the preservation of chromosomal integrity in mammalian cells. The association between Thr241Met single-nucleotide polymorphism (SNP) in this gene and susceptibility to breast cancer has been assessed in several studies. Yet, reports are controversial. The present meta-analysis has been designed to identify whether this SNP is associated with susceptibility to breast cancer. METHODS:We performed a systematic review and meta-analysis for retrieving the case-control studies on the associations between T241?M SNP and the risk of breast cancer. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to verify the association in dominant, recessive, and homozygote inheritance models. RESULTS:We included 55 studies containing 30,966 sporadic breast cancer cases, 1174 familial breast cancer cases and 32,890 controls in the meta-analysis. In crude analyses, no association was detected between the mentioned SNP and breast cancer risk in recessive, homozygote or dominant models. However, ethnic based analysis showed that in sporadic breast cancer, the SNP was associated with breast cancer risk in Arab populations in homozygous (OR (95% CI)?=?3.649 (2.029-6.563), p?=?0.0001) and recessive models (OR (95% CI)?=?4.092 (1.806-9.271), p?=?0.001). The association was significant in Asian population in dominant model (OR (95% CI)?=?1.296, p?=?0.029). However, the associations was significant in familial breast cancer in mixed ethnic-based subgroup in homozygote and recessive models (OR (95% CI)?=?0.451 (0.309-0.659), p?=?0.0001, OR (95% CI)?=?0.462 (0.298-0.716), p?=?0.001 respectively). CONCLUSIONS:Taken together, our results in a large sample of both sporadic and familial cases of breast cancer showed insignificant role of Thr241Met in the pathogenesis of this type of malignancy. Such results were more conclusive in sporadic cases. In familial cases, future studies are needed to verify our results.

Project description:OBJECTIVES:Glioma is the most common central nervous system tumor. This systematic review and meta-analysis is aimed to systematically assess the association of XRCC1 polymorphisms with the risk of glioma. METHODS:Such databases as EMbase, PubMed, The Cochrane Library, the China National Knowledge Infrastructure (CNKI) platforms, VIP and WanFang were searched up to April 2015 to collect case-control studies of association between XRCC1 polymorphisms and glioma. Data were extracted and meta-analysis was conducted by using Stata 12.0 softwares. RESULTS:A total of 22 studies were included in the meta-analysis, including 18503 glioma patients and 24367 controls. The overall data indicated that XRCC1 Arg194Trp (C>T) polymorphism significantly increased glioma risk (allele C versus T: OR=0.72, 95% CI=0.55-0.93, CC versus TT: OR=0.55, 95% CI=0.46-0.67; CC versus CT+TT: OR=0.64, 95% CI=0.45-0.91 and CC+CT vs. TT: OR=0.61, 95% CI=0.51-0.74), especially in Asia ethnicity. XRCC1 Arg280His (G>A) polymorphism has no association with glioma (allele G versus A: OR=1.01, 95% CI=0.83-1.22; GG versus AA: OR=1.07, 95% CI=0.66-1.75; GA versus AA: OR=1.01, 95% CI=0.77-1.32; GG versus GA+AA: OR=1.01, 95% CI=0.84-1.22 and GG+GT versus AA: OR=1.06, 95% CI=0.67-1.69). XRCC1 Arg399Gln (G>A) polymorphism will significantly increase glioma risk in Asian (allele G versus A: OR=0.78, 95% CI= 0.72-0.84; GG versus AA: OR=0.56, 95% CI=0.47-0.66; GA versus AA OR=0.71, 95% CI=0.59-0.84; GG versus GA+AA: OR=0.76, 95% CI=0.68-0.84 and GG+GA vs. AA: OR=0.62, 95% CI=0.53-0.73) but not Caucasian ethnicity. XRCC1 Pro161Leu (C>T), Leu387Leu (G>A), Pro602Thr (C>A), Ser593Arg (C>G) and Glu491Lys (G>A) polymorphisms increased glioma risk in different degrees. CONCLUSION:This meta-analysis suggested that XRCC1 Arg194Trp and XRCC1 Arg399Gln (G>A) polymorphisms led to susceptibility to glioma in Asian but not Caucasian population. XRCC1 Glu491Lys (G>A), Pro161Leu (C>T), Leu387Leu (G>A), Pro602Thr (C>A), Thr304Ala (A>G) and Ser593Arg (C>G) polymorphisms will increase glioma risk. However, XRCC1 Arg280His (G>A) is irrelevant to the increased or decreased glioma risk.

Dataset Information

The association between polymorphisms in the MDR1 gene and risk of cancer: a systematic review and pooled analysis of 52 case-control studies.

Publications

The association between polymorphisms in the MDR1 gene and risk of cancer: a systematic review and pooled analysis of 52 case-control studies.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets