Previous published studies suggested that genetic polymorphisms in DNA repair genes could modify the DNA repair capacity and could be associated with pancreatic cancer risk. However, previous studies on the association between X-ray repair cross-complementation group 1 (XRCC1) rs25487 (Arg399Gln) polymorphism and pancreatic cancer risk reported inconsistent results. To obtain a more precise estimation of the association between XRCC1 rs25487 polymorphism and pancreatic cancer risk, we performed a meta-analysis of previous published studies by calculating the pooled odds ratio (OR) with a 95% confidence interval (95% CI). Eight individual studies with 5,542 subjects from six publications were finally included into this meta-analysis. The meta-analysis of total eight studies showed that there was no association between XRCC1 rs25487 polymorphism and pancreatic cancer risk in total population under all four genetic models (Gln versus Arg: OR = 1.10, 95% CI 0.95-1.28, P = 0.199; GlnGln versus ArgArg: OR = 1.15, 95% CI 0.93-1.41, P = 0.191; GlnGln/ArgGln versus ArgArg: OR = 1.10, 95% CI 0.97-1.25, P = 0.127; GlnGln versus ArgArg/ArgGln: OR = 1.12, 95% CI 0.92-1.36, P = 0.253). Subgroup analysis showed that there was no association between XRCC1 rs25487 polymorphism and pancreatic cancer risk in Caucasians, but XRCC1 rs25487 polymorphism was associated with pancreatic cancer risk in Asians (GlnGln/ArgGln versus ArgArg: OR = 1.24, 95% CI 1.01-1.53, P = 0.040). Therefore, the meta-analysis suggests that XRCC1 rs25487 polymorphism is associated with pancreatic cancer risk in Asians. Further studies with more participants are needed to provide a more precise estimation on the association above.

The vitamin D receptor (VDR) is a crucial mediator for the cellular effects of vitamin D. The polymorphisms in the VDR gene have been hypothesized to alter the risk of prostate cancer. However, studies investigating the association between VDR polymorphisms (BsmI and FokI) and prostate cancer (PCa) risk report conflicting results , therefore, we conducted a meta-analysis to re-examine the controversy. Published literatures from PubMed, Embase, Google Scholar, and China National Knowledge Infrastructure (CNKI) were searched (updated to March 9, 2013). According to our inclusion criteria, studies that observed the association between VDR BsmI and FokI polymorphisms and PCa risk were included. The principal outcome measure was the odds ratio (OR) with 95 % confidence interval (CI) for PCa risk associated with VDR BsmI and FokI polymorphisms. Thirty-four studies involving 10,267 cases and 11,489 controls were recruited. Overall, we did not find evidence to support an association between any of the VDR polymorphisms and PCa risk. For BsmI, the pooled OR was 0.894 (95 % CI 0.773 to 1.034) for the Bb vs. bb genotypes, 1.002 (95 % CI 0.869 to 1.157) for the BB vs. bb genotypes, 0.922 (95 % CI 0.798 to 1.065) for the dominant model (BB/Bb vs. bb), and 1.018 (95 % CI 0.936 to 1.107) for the recessive model (BB vs. Bb/bb). ORs for the FokI polymorphisms were similar. The results suggest that the VDR BsmI and FokI polymorphisms are not related to PCa risk. Further large and well-designed studies are required to confirm this conclusion.

We validated candidate biomarkers using circulating miRNAs by analyzing serum miRNA concentrations from patients with gastric cancer (GC) to predict lymph node (LN) metastasis. In a pilot study, serum levels of miR-21, miR-27a, miR-106b, miR-146a, miR-148a, miR-223, and miR-433 were compared in 10 healthy donors, 16 LN-positive patients with GC, and 15 LN-negative patients with GC. Then, we compared the level of three miRNAs (miR-21, miR-146a, and miR-148a) with the total of 79 GC patients with or without LN metastasis. In the pilot study, miR-21, miR-27a, miR-106b, miR-146a, miR-148a, and miR-223 concentrations from LN-positive patients with GC were significantly different from those of LN-negative patients with GC (P < 0.001, P = 0.003, P = 0.033, P < 0.001, P <0.001, and P = 0.017, respectively). In the validation study, levels of miR-21, miR-146a, and miR-148a increased as pN stage increased (P < 0.001, P = 0.001, and P < 0.001, respectively). Levels of the miRNAs were significantly different between pN0 and pN0 in the pT1 group (P = 0.013, P = 0.004, and P = 0.035, respectively) and among clinical stages (P = 0.001, P = 0.002, and P < 0.001, respectively). No differences in miRNA levels were observed by pT stage, Lauren's classification, sex, or age. Serum concentrations of miR-21, miR-146a, and miR-148a were closely associated with GC pN stage. These serum miRNA levels could be biomarker candidates to predict the presence of LN metastasis.

Data from 30 pharmacogenomic studies that investigated MDR1 mRNA expression or gene variants (C3435T, G2677TA, C1236T) and response to therapy in acute myeloid leukaemia (AML) were synthesized. Anthracycline-based regimens were mainly used. MDR1 mRNA overexpression was associated with poor response to therapy [odds ratio (OR) = 2.49 95% confidence interval (CI) 1.38-4.50]. The gene variants were not associated with response to treatment; the generalized ORs, a genetic model-free approach, for the variants C3435T, G2677TA and C1236T were ORG = 0.86 (95% CI 0.55-1.37), ORG = 0.97 (95% CI 0.58-1.64) and ORG = 1.17 (95% CI 0.75--1.83), respectively. There is indication that MDR1 mRNA expression may be considered as a potential marker for response to chemotherapy in AML patients.

Many published data on the association between single nucleotide polymorphisms (SNPs) in the ESR1 gene and prostate cancer susceptibility are inconclusive. The aim of this Human Genome Epidemiology (HuGE) review and meta-analysis is to derive a more precise estimation of this relationship.

The prognostic value of p16 promoter hypermethylation in cancers has been evaluated for several years while the results remain controversial. We thus performed a systematic review and meta-analysis of studies assessing the impact of p16 methylation on overall survival (OS) and disease-free survival (DFS) to clarify this issue.

This meta-analysis examined the relationship between two nonsynonymous polymorphisms (F31I and V57I) of the aurora kinase A (STK15) gene and breast cancer risk.

Tumor necrosis factor-α (TNF-α) plays a very important role in the development and progression of cancer. Many epidemiological studies have evaluated associations between the TNF-α 238 G/A polymorphism and hepatocellular carcinoma (HCC) risk, but the published data are inconclusive. Therefore, we performed the present meta-analysis.

Findings from previous published studies regarding the association of the XRCC3 Thr241Met polymorphism with glioma susceptibility have often been conflicting. Therefore, a meta-analysis including all available publications was carried out to make a more precise estimation of the potential relationship.

Many published studies have concerned associations between the CYP1A2 -163 C>A polymorphism and risk of lung cancer, but the results have been inconsistent. Therefore, we performed a meta-analysis to obtain a more precise estimate. We searched the PubMed database up to March 1, 2013 for relevant cohort and case-control studies. Supplementary search was conducted manually by searching the references of the included studies and relevant meta-analyses. A meta-analysis was performed using RevMan 5.2 software for calculation of pooled odds ratios (ORs) and relevant 95% confidence intervals (CIs) after data extraction. Finally, seven case-control studies and one nested case-control study involving 1,675 lung cancer patients and 2,393 controls were included. The meta-analysis showed that there was no association of CYP1A2 -163 C>A polymorphism with risk of lung cancer overall [(OR=0.89, 95%CI= 0.74-1.07) for C vs. A; (OR=0.73, 95%CI= 0.50-1.07) for AA vs. CC ; (OR=0.82, 95%CI= 0.62-1.09) for AC vs. CC; (OR=0.79, 95%CI= 0.58-1.07) for (AC+AA) vs. CC; and (OR=0.87, 95%CI= 0.67-1.13) for AA vs. (CC+AC)]. Subgroup analysis indicated that there was an associationbetween CYP1A2 -163C>A polymorphism and lung cancer risk for population-based controls, a trend risk for SCCL (squamous cell carcinoma of lung) and Caucasians. These results suggested that -163 C>A polymorphism is likely to be associated with risk of lung cancer compared with population-based controls.

The association between glutathione S-transferase M1 (GSTM1) null genotype and risk of oral cancer in East Asians is uncertain owing to the inconclusive results from published studies. In the present study, we performed a meta-analysis of 12 studies from three East Asian countries (China, Japan, and Korea). Those 12 studies consisted of 1,718 cases and 2,236 controls. The pooled odds ratio (OR) and corresponding 95 % confidence interval (95 %CI) were calculated to assess the relationship. Overall, the meta-analysis showed that GSTM1 null genotype was associated with increased risk of oral cancer in East Asians (OR = 1.48, 95 %CI = 1.09-2.00, P = 0.011). The results of the cumulative meta-analysis further identified the significant association above. Subgroup analysis by countries showed that the association was still significant in Japan (OR = 1.56, 95 %CI = 1.10-2.22, P = 0.012), but not in China (OR = 1.35, 95 %CI = 0.68-2.68, P = 0.393) and Korea (OR = 1.35, 95 %CI = 0.79-2.32, P = 0.271). In conclusion, the meta-analysis suggests that GSTM1 null genotype is associated with increased risk of oral cancer in East Asians. Further studies are needed to provide new and comprehensive assessments on the association in China and Korea.

Phospholipase C epsilon 1 gene (PLCE1) encodes a phospholipase enzyme which regulates various physiological processes (cell growth, differentiation, and apoptosis) and is supposed to play a critical role in carcinogenesis. Recently, a single nucleotide polymorphism (rs2274223 A>G) in PLCE1 was reported as a novel susceptibility locus for esophageal and gastric cancers by genome-wide association studies performed in Chinese population. However, individual association studies replicating this finding showed inconclusive results. Therefore, we performed a meta-analysis of eligible studies to derive precise estimation of the association of PLCE1 rs2274223 A>G polymorphism with cancer risk. We performed pooled analysis of 12 case–control studies including 7,622 cases and 9,555 controls. Odds ratios and 95 % confidence interval were calculated to assess strength of association in overall studies and in subgroup analysis stratified by ethnicity, cancer types, and source of controls. All statistical analyses were performed by MIX 2.0 software. We found that PLCE1 rs2274223 A>G polymorphism was significantly associated with increased risk of cancer in log additive/dominant model and at allele level (GG vs. AA: OR = 1.24, 95 % CI = 1.01–1.53, P = 0.039; AG vs. AA: OR = 1.24, 95 % CI = 1.16–1.32, P < 0.001; AG + GG vs. AA: OR = 1.22, 95 % CI = 1.12–1.34, P < 0.001; and G vs. A allele: OR = 1.15, 95 % CI = 1.05–1.25, P = 0.002). Further, stratified analysis showed elevated risk of only gastric and esophageal tumors. Sub-group analysis based on ethnicity suggests PLCE1 polymorphism conferred significant risk among Asian (Chinese) but not in Caucasian. In conclusion, PLCE1 rs2274223 polymorphism may be used as potential biomarker for cancer susceptibility particularly for esophageal/gastric cancer and for the Chinese population.

Interleukin-18 (IL-18) is a key cytokine responsible for immune response and involved in the process of cancer development. The association of -137G>C polymorphism in the promoter region of IL-18 with cancer risk is still elusive based on current genetic association studies. We performed this meta-analysis to determine whether the -137G>C polymorphism is associated with cancer risk. A comprehensive search was conducted for databases of PubMed, EMBASE, and China National Knowledge Infrastructure. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the association strength. Publication bias was detected by Egger's and Begg's test. Twenty-one eligible studies including 3,498 cancer patients and 5,222 controls were identified and analyzed. In the overall analysis, no significant association between -137G>C polymorphism and cancer risk was observed. In the sub-group analyses of ethnicities, the -137G>C polymorphism significantly increased cancer risk in Asian population (GC/CC vs. GG: OR = 1.313, 95% CI = 1.053-1.638, heterogeneity P < 0.001) but not in Caucasian population. Further stratified analyses showed that the variant -137C allele was significantly associated with increased risk of nasopharyngeal carcinoma (C vs. G: OR = 1.484, 95% CI = 1.193-1.847, heterogeneity P = 0.213). No publication bias was detected. We provide evidence that the -137G>C polymorphism in IL-18 promoter region significantly increases cancer risk in Asian population but not in Caucasian population, and the variant -137C allele is associated with increased risk of nasopharyngeal carcinoma.

To assess the statistical relationship between tumor growth and copper metabolism, we performed a metaanalysis of studies in which patients with neoplasms were characterized according to any of the copper status indexes (atomic copper serum concentration, serum oxidase activity, ceruloplasmin protein content). Our metaanalysis shows that in the majority of cases (more than 3100 patients), tumor growth positively correlates with the copper status indexes. Nude athymic CD-1 nu/nu mice with subcutaneous tumors of human origin, C57Bl/6J mice with murine melanoma and Apc(Min) mice with spontaneously developing adenomas throughout the intestinal tract were studied to experimentally determine the relationship between tumor progression, liver copper metabolism, and copper status indexes. We showed that the copper status indexes increased significantly during tumor growth. In the liver tissue of tumor-bearing mice, ceruloplasmin gene expression, as well as the expression of genes related to ceruloplasmin metallation (CTR1 and ATP7B), increased significantly. Moreover, the presence of an mRNA splice variant encoding a form of ceruloplasmin anchored to the plasma membrane by glycosylphosphatidyl inositol, which is atypical for hepatocytes, was also detected. The ATP7A copper transporter gene, which is normally expressed in the liver only during embryonic copper metabolism, was also activated. Depletion of holo-ceruloplasmin resulted in retardation of human HCT116 colon carcinoma cell growth in nude mice and induced DNA fragmentation in tumor cells. In addition, the concentration of cytochrome c increased significantly in the cytosol, while decreasing in the mitochondria. We discuss a possible trans-effect of developing tumors on copper metabolism in the liver.

MicroRNA-183 (miR-183) family is proposed as promising biomarkers for early cancer detection and accurate prognosis as well as targets for more efficient treatment. The results of their expression feature in cancer tissues are inconsistent and controversy still exists in identifying them as new biomarkers of cancers. Therefore, to systemically evaluate the most frequently reported cancers in which miR-183 family members were up- or down-regulated is critical for further investigation on physiological impact of its aberrant regulation in specific cancers. The published studies that compared the level of miR-183 family expression in cancer tissues with those in noncancerous tissues were reviewed by the meta-analysis with a vote-counting strategy. Among the 49 included studies, a total of 18 cancers were reported, with 11 cancers reported in at least two studies. In the panel of miR-183 family members' expression analysis, colorectal cancer and prostate cancer ranked at the top among consistently reported cancer types with up-regulated feature. Bladder cancer, lung cancer and hepatocellular carcinoma were the third most frequently reported cancer types with significant over-expression of miR-96, miR-182 and miR-183 respectively. Breast cancer and gastric cancer were presented with inconsistent regulations and the members of this family had their own distinct regulated features in other different cancers. MiR-183 family, either individually or as a cluster, may be useful prognostic markers and/or therapeutic targets in several cancers. Further studies and repeat efforts are still required to determine the role of miR-183 family in various cancer progressions.

Emerging evidences have shown that common genetic polymorphisms in microRNAs may be associated with the development of hepatocellular carcinoma (HCC); but individually published studies and previous meta-analyses revealed inconclusive results. The aims of this review and meta-analysis are to assess whether common single-nucleotide polymorphisms (SNPs) in the genes encoding the microRNAs are associated with susceptibility to HCC development and clinicopathologic characteristics of hepatitis B virus (HBV) related HCC. A computerized search was performed in PubMed, Embase, Web of Science and China BioMedicine (CBM) databases to identify relevant articles published before January 1st 2013. Ten case-control studies were assessed with a total of 3437 cases and 3437 healthy controls. Three common functional SNPs in miRNA-encoding genes were found, including miR-146a G>C (rs2910164), miR-196a-2 C>T (rs11614913) and miR-499 T>C (rs3746444). This meta-analysis revealed that the miR-146a C variant was associated with a decrease in HCC risk, especially among Asian and male populations; while the miR-196a-2 T variant was associated with susceptibility to HCC among Caucasian populations. However, we failed to find any significant correlations between the miR-499 C polymorphism and HCC risks. When further stratification on HBV status was conducted, a similar trend of association between the three SNPs and the HBV-related HCC risks was observed, but these results were not statistically significant due to small sample sizes. The current meta-analysis demonstrates that SNPs contained in the genes encoding miR-146a and miR-196a-2 may play a major role in genetic susceptibility to HCC.

Genome-wide association studies (GWAS) have identified several genetic susceptibility loci for breast cancer (BC). One of them, conducted among Chinese women, found an association of rs2046210 at 6q25.1 with the risk of BC recently. Since then, numerous association studies have been carried out to investigate the relationship between this polymorphism and BC risk in various populations. However, these have yielded contradictory results. We therefore performed a meta-analysis to clarify this inconsistency. Overall, a total of 235003 subjects based on 13 studies were included in our study. Significantly increased BC risk was detected in the pooled analysis [allele contrast: OR = 1.13, 95%CI = 1.10-1.17, P(Z) <10(-5), P(Q) <10(-4); dominant model: OR = 1.21, 95%CI = 1.14-1.27, P(Z) <10(-5), P(Q) <10(-4); recessive model: OR = 1.18, 95%CI = 1.12-1.24, P(Z) <10(-5), P(Q) = 0.04]. In addition, our data revealed that rs2046210 conferred greater risk in estrogen receptor (ER)-negative tumors [OR = 1.27, 95%CI = 1.15-1.40, P(Z) <10(-5), P(Q) <10(-4)] than in ER-positive ones [OR = 1.18, 95%CI = 1.09-1.28, P(Z) <10(-4), P(Q) = 0.0003]. When stratified by ethnicity, significant associations were found in Caucasian and Asian populations, but not detected among Africans. There was evidence of heterogeneity (P<0.05), however, the heterogeneity largely disappeared after stratification by ethnicity. The present meta-analysis demonstrated that the rs2046210 polymorphism may be associated with increased BC susceptibility, but this association varies in different ethnicities.

Interleukin 1, beta (IL1B) plays a key role in mediating acute and chronic inflammation, which is further correlated with lung carcinogenesis. Several polymorphisms on IL1B gene have been identified, and a series of epidemiological studies have examined the association between IL1B polymorphisms and lung cancer risk. However, these findings are inconclusive. To derive a precise estimation of the relationship, a meta-analysis was performed. We summarized 12 eligible publications on three commonly studied IL1B polymorphisms (i.e., -31 T/C, -511 T/C, and +3954 C/T) by searching electronic databases. Combined odds ratio (OR) with 95% confidence interval (CI) was calculated to assess the strength of association between them. Heterogeneity and publication bias were also assessed. We observed a significant association between IL1B polymorphisms and lung cancer. For -31T/C, the overall OR (95% CI) of TT/TC versus CC was 1.23 (1.06-1.43). For +3954 C/T, the overall OR (95% CI) of CC versus TT and CC versus CT/TT were 0.92 (0.86-0.99) and 0.92 (0.86-0.99), respectively. In conclusion, this meta-analysis suggests that the IL1B -31 T/C and +3954 C/T polymorphisms are associated with lung cancer risk. However, larger number of samples and studies with homogeneous lung cancer patients are needed to confirm these findings.

The role of vitamin D receptor (VDR) BsmI polymorphism in ovarian cancer development has been studied in various populations, but those results are discordant controversial and ambiguous. Thus, we performed a meta-analysis to assess the association between VDR BsmI polymorphism and susceptibility to ovarian cancer more precisely. Odds ratio (OR) and its 95% confidence interval (95% CI) were used for statistical analysis. Nine individual studies with a total 2,331 cases and 3,301 controls were included into this meta-analysis. There was no heterogeneity among those nine studies. Meta-analysis of total nine studies suggested that there was no association between VDR BsmI polymorphism and susceptibility to ovarian cancer (B vs. b, OR = 1.02, 95% CI = 0.94-1.10, P = 0.616, I(2) = 0%; BB vs. bb, OR = 1.02, 95 % CI = 0.87-1.20, P = 0.810, I(2) = 0 %; BB/Bb vs. bb, OR = 1.05, 95% CI = 0.94-1.18, P = 0.391, I(2) = 0 %; BB vs. bb/Bb, OR = 0.99, 95% CI = 0.85-1.14, P = 0.853, I(2) = 0 %). Meta-analysis of seven studies from Caucasians also showed that there was no association between VDR BsmI polymorphism and susceptibility to ovarian cancer. This meta-analysis suggests that there is no association between VDR BsmI polymorphism and susceptibility to ovarian cancer in Caucasians. Future studies from Asians or Africans are needed to further assess the above association.

To investigate the association between X-ray repair cross-complementing group 1 (XRCC1) Arg399Gln polymorphism and hepatitis virus-related hepatocellular carcinoma risk, we performed a systematic meta-analysis of eligible case-control studies. Eligible studies were identified from the PubMed, Embase, and Chinese National Knowledge Infrastructure databases up to March 2013. The odds ratios (ORs) and corresponding 95 % confidence interval (95 % CI) of XRCC1 Arg399Gln polymorphism in hepatitis virus-related hepatocellular carcinoma cases compared with those in controls were calculated. The meta-analysis was performed using fixed-effect or random-effect methods according to the absence or presence of heterogeneity. This meta-analysis included 1,558 cases with hepatitis virus-related hepatocellular carcinoma and 1,338 controls. Meta-analysis of available data showed that there was no association between XRCC1 Arg399Gln polymorphism and risk of hepatitis virus-related hepatocellular carcinoma under all contrast models (Gln vs. Arg: fixed-effect OR = 0.92, 95 % CI 0.82-1.04, P = 0.18; GlnGln vs. ArgArg: random-effect OR = 0.79, 95 % CI 0.50-1.25, P = 0.32; GlnGln/ArgGln vs. ArgArg: fixed-effect OR = 0.92, 95 % CI 0.79-1.07, P = 0.28; and GlnGln vs. ArgArg/ArgGln: random-effect OR = 0.83, 95 % CI 0.52-1.34, P = 0.45). Sensitivity analysis further showed that there was no association between XRCC1 Arg399Gln polymorphism and risk of hepatitis B-related hepatocellular carcinoma under all contrast models (Gln vs. Arg: fixed-effect OR = 0.93, 95 % CI 0.82-1.05, P = 0.25; GlnGln vs. ArgArg: fixed-effect OR = 0.86, 95 % CI 0.64-1.16, P = 0.32; GlnGln/ArgGln vs. ArgArg: fixed-effect OR = 0.93, 95 % CI 0.80-1.10, P = 0.41; and GlnGln vs. ArgArg/ArgGln: fixed-effect OR = 0.85, 95 % CI 0.63-1.13, P = 0.26). Our meta-analysis of the available data did not find an obvious effect of XRCC1 Arg399Gln polymorphism on hepatitis-related hepatocellular carcinoma. More well-designed studies with large sample are needed to further verify the effect.