P53 polymorphism and lung cancer susceptibility: a pooled analysis of 32 case–control studies

To explore the real association between p53 codon 72 polymorphism and lung cancer risk, a pooled analysis of 32 case–control studies involving 19,255 subjects was conducted. When all 32 studies were pooled into the analysis, significantly elevated lung cancer risks were associated with variant genotypes in all genetic models (for Pro/Arg vs. Arg/Arg: OR 1.21, 95% CI 1.01–1.23; for Pro/Pro vs. Arg/Arg: OR 1.20, 95% CI 1.03–1.39; for Pro/Pro + Pro/Arg vs. Arg/Arg: OR 1.14, 95% CI 1.03–1.25; for Pro/Pro vs. Arg/Arg + Pro/Arg: OR 1.06, 95% CI 1.01–1.12). In the subgroup analysis by ethnicity, histological type, or smoking status, significantly increased risks were found in subgroups such as Asians, Caucasians, lung adenocarcinoma patients, or smokers, respectively. In conclusion, our results suggest that the Pro allele at p53 codon 72 is emerging as a low-penetrance susceptibility allele for lung cancer development.     

DNMT3B polymorphisms and cancer risk: a meta analysis of 24 case–control studies

The association between polymorphism of DNA methyltransferases 3B and cancer risk has been widely studied recently, and no consensus conclusion is available up to now. We perform a comprehensive search using the databases of Medline, ISI Web of Knowledge and Embase. The odds ratio (OR) and its 95% confidence interval (95% CI) are used to investigate the strength of the association. A total of 24 case–control studies with 15,647 individuals are included in this meta-analysis. For −149C > T (17 studies, 5229 cases and 6910 controls), no evidence indicate that individuals carrying the variant genotypes (CC + CT), relative to those carrying the wild homozygote TT genotype, have an increased risk of cancer (OR = 1.03; 95% CI = 0.84–1.26; P = 0.76). Similarly, no cancer risk is found in the subgroup analyses. For −579G > T (11 studies, 3513 cases and 3714 controls), significantly decreased risks of cancer are observed, and the ORs (95% CI) are 0.70 (0.56–0.87) for GT versus TT, 0.70 (0.57–0.85) for GG + GT versus TT and 0.76 (0.63–0.93) for G-allele versus T-allele, respectively. Subgroup analyses stratified by ethnicity and types of cancer are also performed, and results indicated that −579G > C polymorphism is associated with risk of cancer in Asians [0.68 (0.53–0.87) for GT vs. TT] but not in Europeans [0.82 (0.63–1.07) for GT vs. TT]. We also observe that the −579G is associated with decreased risk of colorectal cancer [0.49(0.38–0.62) for GT vs. TT]. More studies with larger sample size were needed to provide more precise evidence.     

Family history of cancer and the risk of bladder cancer: A case–control study from Italy

BackgroundA family history of bladder cancer has been associated with the risk of bladder cancer, but quantification of the excess risk in different populations is still a relevant issue. Further, the role of a family history of other cancers on the risk of bladder cancer remains unclear.MethodsWe analyzed data from an Italian case–control study, including 690 bladder cancer cases and 665 hospital controls. Odds ratios (ORs) were estimated through unconditional logistic regression models, adjusted for sex, age, study center, year of interview and further for education, smoking and sibling’s number.ResultsThe OR for family history of bladder cancer was 2.13 (95% confidence intervals (95%CIs) 1.02–4.49) from the model with partial adjustment, and 1.99 (95%CI 0.91–4.32) after additional adjustment for smoking and siblings’ number, based on 23 cases (3.3%) and 11 controls (1.7%) with a family history of bladder cancer. The fully adjusted OR was 3.77 when the relative was diagnosed at age below 65 years. Smokers with a family history of bladder cancer had a four-fold increased risk compared to non-smokers without a family history. Bladder cancer risk was significantly increased among subjects with a family history of hemolymphopoietic cancers (OR = 2.97, 95%CI 1.35–6.55). Family history of cancer at other sites showed no significant association with bladder cancer risk.ConclusionThis study confirms an approximately two-fold increased risk of bladder cancer for family history of bladder cancer, and indicates a possible familial clustering of bladder cancer with cancers of the hemolymphopoietic system.     

The CXCL12 G801A polymorphism and cancer risk: Evidence from 17 case‐control studies

CXCL12 has been implicated in human carcinogenesis, but the association between the most-studied G801A polymorphism (rs1801157) and the risk of various cancers was reported with inconclusive results. The aim of this study was to assess the association between the CXCL12 G801A polymorphism and cancer risk. A meta-analysis of 17 studies with 3048 cancer patients and 4522 controls was conducted to evaluate the strength of the association using odds ratio (OR) with its 95% confidence interval (CI). The overall results showed that the variant genotypes were associated with a significantly increased risk of all cancer types (OR = 1.38, 95%CI = 1.18–1.61 for GA versus GG, and OR = 1.36, 95%CI = 1.17–1.59 for GA/AA versus GG). In the stratified analyses, there was a significantly increased risk for the studies of breast cancer (OR = 1.64, 95% CI = 1.16–2.33 for AA versus GG, OR = 1.42, 95%CI = 1.18–1.71 for GA versus GG, and OR = 1.44, 95%CI = 1.21–1.72 for GA/AA versus GG) and lung cancer (OR = 2.86, 95% CI = 1.75–4.69 for AA versus GG, OR = 1.62, 95% CI = 1.20–2.18 for GA vs. GG, OR = 1.80, 95% CI = 1.36–2.39 for GA/AA versus GG, and OR = 2.24, 95%CI = 1.41–3.57 for AA versus GA/GG), which remained for the studies of Asian populations and hospital-based control sources. Although some modest bias could not be eliminated, this meta-analysis indicates that the CXCL12 G801A polymorphism is a low-penetrance risk factor for cancer development.     

Power analysis for case–control association studies of samples with known family histories

Genome-wide case–control studies have been widely used to identify genetic variants that predispose to human diseases. Such studies are powerful in detecting common genetic variants with moderate effects, but quickly lose power as allele frequency and genotype relative risk decrease. Because patients with one or more affected relatives are more likely to inherit disease-predisposing alleles of a genetic disease than patients without family histories of the disease, sampling patients with affected relatives almost always increases the frequency of disease predisposing alleles in cases and improves the power of case–control association studies. This paper evaluates the power of case–control studies that select cases and/or controls according to their family histories of disease. Our results showed that this study design can dramatically increase the power of a case–control association study for a wide range of disease types. Because each additional affected relative of a patient reduces the required sample size roughly by a pair of case and control, inclusion of cases with affected relatives can dramatically decrease the required sample size and thus the cost of such studies.     

Role of CYP1A2*1F polymorphism in cancer risk: Evidence from a meta-analysis of 46 case–control studies

Background

Emerging evidence showed that the common polymorphism (CYP1A2*1F, rs762551 C → A) in the promoter region of the CYP1A2 gene might be associated with susceptibility to cancer in humans. But individually published results were inconclusive. The aim of this meta-analysis is to investigate the association between CYP1A2*1F polymorphism and cancer risk.

Methods

The Pubmed, Embase, Web of Science and Chinese BioMedical databases were searched for all articles published up to September 1st, 2012. Statistical analyses were performed using the STATA 12.0 software.

Results

Forty-six case–control studies were included with a total of 22,993 cancer cases and 28,420 healthy controls. Meta-analysis results showed that the A allele of CYP1A2*1F polymorphism was associated with a decreased cancer risk (odds ratio [OR] = 0.92, 95% confidence interval [CI]: 0.87–0.98, P = 0.013). In the subgroup analysis by cancer types, the A allele of CYP1A2*1F polymorphism may increase the risk of breast cancer (OR = 1.05, 95% CI: 1.01–1.10, P = 0.024), and is also associated with a decreased risk of ovarian cancer (OR = 0.70, 95% CI: 0.54–0.89, P = 0.004). However, similar results were not found in lung, colorectal, bladder, endometrial, pancreatic and gastric cancers. Further subgroup analysis by ethnicity also showed a significant association between the A allele of CYP1A2*1F polymorphism and a decreased cancer risk among Caucasian populations (OR = 0.91, 95% CI: 0.84–0.98, P = 0.014); but no significant associations were observed among Asian populations.

Conclusions

Results from the current meta-analysis indicate that the A allele of CYP1A2*1F polymorphism may be associated with breast and ovarian cancer risk, especially among Caucasian populations.     

Hsa-miR-499 polymorphism (rs3746444) and cancer risk: A meta-analysis of 17 case–control studies

Introduction

MicroRNAs (miRNAs) are a family of endogenous, small and noncoding RNAs that negatively regulate gene expression by suppressing translation or degrading mRNAs. Recently, many studies investigated the association between hsa-miR-499 rs3746444 polymorphism and cancer risk, which showed inconclusive results.

Methodology/main results

We conducted a meta-analysis of 17 studies that included 7842 cancer cases and 8989 case-free controls and assessed the strength of the association, using odds ratios (ORs) with 95% confidence intervals (CIs). Overall, hsa-miR-499 rs3746444 polymorphism was associated with higher cancer risk in heterozygote model (AG vs AA, OR = 1.15, 95%CI = 1.01–1.30, P_{heterogeneity} < 0.001), dominant genetic model (GG/AG vs AA, OR = 1.18, 95% CI = 1.04–1.33, P_{heterogeneity} < 0.001) and allele contrast (G vs A, OR = 1.09, 95% CI = 1.01–1.18, P_{heterogeneity} = 0.021). In the stratified analyses, we observed that the GG/AG genotype might modulate breast cancer risk (OR = 1.13, 95% CI = 1.01–1.26, P_{heterogeneity} = 0.111) comparing with the AA genotype. Moreover, a significantly increased risk was found among Asian populations in heterozygote model (AG vs AA, OR = 1.23, 95% CI = 1.06–1.43, P_{heterogeneity} < 0.001), homozygote model (GG vs AA, OR = 1.22, 95% CI = 1.02–1.46, P_{heterogeneity} = 0.319), dominant model (GG/AG vs AA, OR = 1.25, 95% CI = 1.06–1.39, P_{heterogeneity} < 0.001) and allele contrast (G vs A, OR = 1.14, 95% CI = 1.04–1.25, P_{heterogeneity} = 0.021).

Conclusions

These findings supported that hsa-miR-499 rs3746444 polymorphism contributes to the susceptibility of cancers.     

RNASEL −1385G/A polymorphism and cancer risk: a meta-analysis based on 21 case–control studies

Polymorphisms in the endoribonuclease L (RNASEL) gene have been hypothesized to increase the incidence of cancer. The common sequence variation in RNASEL, −1385G/A (rs486907) has been involved in several types of cancer risk. However, results of the related published studies remained conflicting rather than conclusive. To clarify the role of RNASEL −1385G/A genotype in global cancer, we performed a meta-analysis of all the available published studies involving 8,732 cancer patients and 8,748 control subjects. The overall results indicated that there was no major influence of the variant on cancer risk. However, stratified analysis by ethnicity showed that the RNASEL −1385G/A polymorphism has an increased cancer risk in African descendents in the homozygote comparison (OR = 2.59, 95% CI = 1.27–5.27), although no association was found in the analysis stratified by cancer type (OR = 1.12, 95% CI = 0.94–1.35). This meta-analysis suggested that the RNASEL −1385G/A polymorphism is associated with cancer risk in African descendents. To draw more comprehensive conclusions, further prospective studies with larger numbers of participants worldwide are still required to examine associations between RNASEL −1385G/A polymorphism and cancer risk.     

Association between the CYP1A1 T3801C polymorphism and risk of cancer: Evidence from 268 case–control studies

T3801C is a common polymorphism in CYP1A1, showing differences in its biological functions. Case–control studies have been performed to elucidate the role of T3801C in cancer, although the results are conflicting and heterogeneous. Hence, we performed a meta-analysis to investigate the association between cancer susceptibility and T3801C (55,963 cases and 76,631 controls from 268 studies) polymorphism in different inheritance models. We used odds ratios with 95% confidence intervals to assess the strength of the association. Overall, significantly increased cancer risk was observed in any genetic model (dominant model: odds ratio [OR] = 1.14, 95% confidence interval [CI] = 1.09–1.19; recessive model: OR = 1.23, 95% CI = 1.12–1.34; CC vs. TT: OR = 1.31, 95% CI = 1.19–1.45; TC vs. TT: OR = 1.12, 95% CI = 1.07–1.18; additive model: OR = 1.14, 95% CI = 1.09–1.19) when all eligible studies were pooled into the meta-analysis. In further stratified and sensitivity analyses, the elevated risk remained for subgroups of cervical cancer, head and neck cancer, hepatocellular cancer, leukemia, lung cancer, prostate cancer and breast cancer. In addition, significantly decreased colorectal cancer risk was also observed. In summary, this meta-analysis suggests that the participation of CYP1A1 T3801C is a genetic susceptibility for some cancer types. Moreover, our work also points out the importance of new studies for T3801C association in some cancer types, such as gallbladder cancer, Asians of acute myeloid leukemia, and thyroid cancer, where at least some of the covariates responsible for heterogeneity could be controlled, to obtain a more conclusive understanding about the function of the CYP1A1 T3801C polymorphism in cancer development.     

Body mass index and weight gain after middle adulthood are associated with risk of papillary thyroid cancer: A case–control study

BackgroundIt is unclear whether weight change after middle adulthood influences the risk of thyroid cancer. The aim of this study was to investigate associations between the risk of papillary thyroid cancer (PTC) and body mass index (BMI) and weight change after middle adulthood (age 35).MethodsA matched case–control study based on three hospitals included 516 pairs of cases newly diagnosed with PTC and controls. Current height and weight after defecation in the morning were measured by trained nurses. During measurement, all subjects were requested to wear lightweight clothing and no shoes. Weight at age 35 was self-reported. BMI and weight change were modeled as continuous and categorical variables. Conditional and unconditional logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (95%CI) for the association between BMI and weight change after middle adulthood and PTC.ResultsAfter adjustment for covariates, measured BMI at the time of current diagnosis was positively associated with PTC (OR 1.16, 95%CI 1.10–1.21). According to WHO BMI guidelines for Asia-Pacific populations, the OR (95%CI) for PTC risk in obesity was 2.99 (1.92–4.67) compared to normal weight (p-trend <0.001). Moreover, PTC was positively associated with BMI at age 35; the OR (95%CI) for PTC risk per unit increase in BMI was 1.06 (1.02–1.11). Compared to stable weight (changed <0.5 kg/year), weight gain ≥1.0 kg/year after middle adulthood was positively associated with PTC (OR 2.57, 95%CI 1.39–4.76, p-trend <0.001). Compared to maintaining non-overweight status, the PTC risk was significantly increased in those individuals who gained weight and became overweight after middle adulthood (OR 3.82, 95%CI 2.50–5.85).ConclusionThis study showed that high BMI and obesity were positively associated with increased risk of PTC, and weight gain after middle adulthood also could elevate the PTC risk.     

Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case–control studies

The previous published data on the association between X-ray repair cross-complementing group 3 (XRCC3) T241M, A4541G, and A17893G polymorphisms and breast cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between breast cancer and XRCC3 T241M (21,910 cases and 23,961 controls), A4541G (9,633 cases and 10,994 controls), and A17893G polymorphisms (10,761 cases and 12,235 controls) in different inheritance models. When all the eligible studies were pooled into the meta-analysis of XRCC3 T241M polymorphism, significantly increased risk of breast cancer was observed in recessive model (odds' ratio [OR] = 1.10, 95% confidence interval [CI] = 1.04–1.16) and in additive model (OR = 1.10, 95% CI = 1.03–1.16). No significant association was found between A4541G polymorphism and breast cancer risk. When all the eligible studies were pooled into the meta-analysis of XRCC3 A17893G polymorphism, no significant association was found in any genetic model. Additionally, when one study was deleted in the sensitive analysis, the results of XRCC3 A17893G were changed in the additive model (OR = 0.90, 95% CI = 0.82–0.99) and dominant model (OR = 0.94, 95% CI = 0.89–0.99). In summary, this meta-analysis indicates that T241M polymorphism show an increased breast cancer risk and A17893G polymorphism may be associated with decreased breast cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on XRCC3 T241M, A4541G, and A17893G polymorphisms and breast cancer risk.     

Detection of disease-associated deletions in case–control studies using SNP genotypes with application to rheumatoid arthritis

Genomic deletions have long been known to play a causative role in microdeletion syndromes. Recent whole-genome genetic studies have shown that deletions can increase the risk for several psychiatric disorders, suggesting that genomic deletions play an important role in the genetic basis of complex traits. However, the association between genomic deletions and common, complex diseases has not yet been systematically investigated in gene mapping studies. Likelihood-based statistical methods for identifying disease-associated deletions have recently been developed for familial studies of parent-offspring trios. The purpose of this study is to develop statistical approaches for detecting genomic deletions associated with complex disease in case–control studies. Our methods are designed to be used with dense single nucleotide polymorphism (SNP) genotypes to detect deletions in large-scale or whole-genome genetic studies. As more and more SNP genotype data for genome-wide association studies become available, development of sophisticated statistical approaches will be needed that use these data. Our proposed statistical methods are designed to be used in SNP-by-SNP analyses and in cluster analyses based on combined evidence from multiple SNPs. We found that these methods are useful for detecting disease-associated deletions and are robust in the presence of linkage disequilibrium using simulated SNP data sets. Furthermore, we applied the proposed statistical methods to SNP genotype data of chromosome 6p for 868 rheumatoid arthritis patients and 1,197 controls from the North American Rheumatoid Arthritis Consortium. We detected disease-associated deletions within the region of human leukocyte antigen in which genomic deletions were previously discovered in rheumatoid arthritis patients.     

Association between the XRCC3 T241M polymorphism and risk of cancer: Evidence from 157 case–control studies

The T241M polymorphism in the X-ray cross-complementing group 3 (XRCC3) had been implicated in cancer susceptibility. The previous published data on the association between XRCC3 T241M polymorphism and cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between cancer susceptibility and XRCC3 T241M (61,861 cases and 84,584 controls from 157 studies) polymorphism in different inheritance models. We used odds ratios with 95% confidence intervals to assess the strength of the association. Overall, significantly increased cancer risk was observed in any genetic model (dominant model: odds ration [OR] = 1.07, 95% confidence interval [CI] = 1.00–1.13; recessive model: OR = 1.15, 95% CI = 1.08–1.23; additive model: OR = 1.17, 95% CI = 1.08–1.28) when all eligible studies were pooled into the meta-analysis. In further stratified and sensitivity analyses, the elevated risk remained for subgroups of bladder cancer and breast cancer, especially in Caucasians. In addition, significantly decreased lung cancer risk was also observed. In summary, this meta-analysis suggests the participation of XRCC3 T241M in the susceptibility for bladder cancer and breast cancer, especially in Caucasians, and XRCC3 T241M polymorphism is associated with decreased lung cancer risk. Moreover, our work also points out the importance of new studies for T241M association in some cancer types, such as gastric cancer, colorectal cancer, and melanoma skin cancer, where at least some of the covariates responsible for heterogeneity could be controlled, to obtain a more conclusive understanding about the function of the XRCC3 polymorphism in cancer development.     

Meta-analysis of case–control studies on the relationship between lung cancer and indoor radon exposure

Radiation and Environmental Biophysics - Indoor exposure to natural radon is a factor that influences lung cancer risk worldwide. The present study includes a meta-analysis of epidemiological data...     

MDR1 C3435T polymorphism and cancer risk: a meta-analysis based on 39 case–control studies

Multidrug resistance 1 (MDR1) gene encodes the ATP-dependent cellular efflux pump P-glycoprotein (P-gp) which efflux of a variety of substances across the membrane. P-gp could serve a role in cancer etiology based on its physiological role of protecting cells from xenobiotics or metabolites. The C3435T (rs1045642) polymorphism of the MDR1 gene which could influence the P-gp expression and function have been implicated in the cancer risk. However, the results from the published studies on the association between this polymorphism and cancer risk are conflicting. To drive a more precise estimation of this association, we performed a meta-analysis of 39 case-control studies, including a total of 9,265 cancer cases and 13,502 controls. We used odds ratios (ORs) with their 95% confidence intervals (CIs) to assess the strength of the association. Overall, individuals with the MDR1 3435TT genotype were associated with an increased cancer risk than those with the CC (OR = 1.29, 95% CI: 1.10-1.51) or CT/CC (OR = 1.18, 95% CI: 1.04-1.34) genotypes, similar to the CT or CT/TT compared with the CC genotype. In the stratified analyses, the increased risks were more pounced among hematologic malignances (OR = 1.27, 95% CI: 1.10-1.46, P (heterogeneity) = 0.415), breast cancer (1.42, 1.04-1.94, 0.018), renal cancer (1.77, 1.28-2.46, 0.307), Caucasians (1.21, 1.07-1.38, 0.000) and population-based studies (1.20, 1.05-1.36, 0.000) in a dominant model. The results suggested that the MDR1 C3435T polymorphism may contribute to cancer risk.     

Functional polymorphisms in the interleukin-12 gene contribute to cancer risk: Evidence from a meta-analysis of 18 case–control studies

Background

Emerging evidence from preclinical and clinical studies has shown that interleukin-12 (IL-12) has some effectiveness against endogenously arising carcinogenesis. Several potentially functional polymorphisms of IL-12 gene have been implicated in cancer risk, but individually published studies showed inconclusive results. The aim of this study was to investigate the association between IL-12 polymorphisms and cancer risk.

Methods

The MEDLINE, EMBASE, Web of science and CBM databases were searched for all articles published up to June 10, 2012 that addressed IL-12 polymorphisms and cancer risk. Statistical analyses were performed using RevMan 5.1.6 and STATA 12.0 softwares.

Results

Eighteen studies were included with a total of 6463 cancer cases and 7412 healthy controls. We found that the 3'UTR A > C (rs3212227) polymorphism of IL-12B gene was associated with significantly increased overall risk of cancers using random effects model (C vs A: odds ratio [OR] = 1.14, 95% confidence interval [CI]: 1.02-1.27; AC + CC vs AA: OR = 1.20, 95%CI: 1.01-1.43). However, the 3'UTR G > A (rs568408), IVS2 T > A (rs582054) and 5'UTR T > G (rs2243115) polymorphisms of IL-12A gene did not appear to have an influence on cancer susceptibility. Further subgroup analyses showed that the 3'UTR A > C (rs3212227) polymorphism was associated with increased cancer risks in the subgroups of Asians, cervical and nasopharyngeal cancers.

Conclusions

Results from the current meta-analysis indicates that the 3'UTR A > C (rs3212227) polymorphism of IL-12B gene might be a potential biomarker for cancer risk among Asians, especially for cervical and nasopharyngeal cancers.