Tumor gene mutation status is becoming increasingly important in the treatment of patients with cancer. A comprehensive catalog of tumor gene-response outcomes from individual patients is needed, especially for actionable mutations and rare variants. We created a proof-of-principle database [DNA-mutation Inventory to Refine and Enhance Cancer Treatment (DIRECT)], starting with lung cancer-associated EGF receptor (EGFR) mutations, to provide a resource for clinicians to prioritize treatment decisions based on a patient's tumor mutations at the point of care.

Many studies have investigated the association between glutathione S-transferase T1 (GSTT1) null genotype and the risk of prostate cancer (PCa), but the impact of GSTT1 null genotype on PCa risk in Caucasians is still unclear owing to the inconsistency of such studies. The present study aimed to quantify the strength of association between GSTT1 null genotype and the risk of PCa in Caucasians.

Lifetime exposure to estrogen is a factor that plays an important role in the pathogenesis and progression of breast cancer. Genetic variants in genes of the biosynthesis and metabolism of estrogen have been associated with breast cancer risk. Among them, the CYP19 gene encodes for aromatase, the enzyme that catalyzes the conversion of androgens to estrogens. The rs10046 polymorphism on the CYP19 gene has been related to levels of circulating estradiol and to the estradiol/testosterone ratio. To date, epidemiological studies of rs10046 have been performed in different populations with contradictory results. In the present study, we have conducted a case-control analysis (522 cases and 1221 controls) in a Spanish population. Furthermore, we have performed a meta-analysis including 20,098 subjects (7,998 cases and 12,100 controls) to summarize the data available for rs10046 and breast cancer risk. An odds ratio (OR) with a 95% confidence interval (CI) was applied to assess the association. The results of our case-control study show an association between the carriers of at least one C allele (dominant model) and breast cancer risk (OR = 1.29, 95% CI 1.01-1.66, p-value = 0.038). The meta-analysis shows no significant association with breast cancer risk in any of the genetic models tested. The analysis by ethnic subgroups also failed to produce associations. The evaluation of heterogeneity, influence analysis, and publication bias confirms the reliability of the analysis. We can conclude that the rs10046 polymorphism on CYP19 by itself does not constitute breast cancer risk. We cannot, however, reject the possibility that it could contribute (interact), together with other genetic variants, to modify the circulating levels of estradiol.

Glutathione S-transferase P1 (GSTP1) is one of the important mutant sites for the cancer risk at present. The conclusions of the published reports on the relationship between GSTP1 A/G gene polymorphism and the risk of breast cancer are still debated. This meta-analysis was performed to evaluate the association between GSTP1 and the risk of breast cancer. The association reports were identified from PubMed and Cochrane Library, and eligible studies were included and synthesized using meta-analysis method. 35 investigations were included into this meta-analysis for the association of GSTP1 A/G gene polymorphism and breast cancer susceptibility, consisting of 40,347 subjects (18,665 patients with breast cancer and 21,682 controls). The association between GSTP1 A/G gene polymorphism and breast cancer risk was not found for overall population, Caucasians and Africans. Interestingly, the GSTP1 A/G gene polymorphism was associated with the susceptibility of breast cancer in Asians (G allele: OR = 1.10, 95 % CI: 1.04-1.17, P = 0.001; GG genotype: OR = 1.36, 95 % CI: 1.14-1.62, P = 0.0008; AA genotype: OR = 0.92, 95 % CI: 0.85-0.98, P = 0.02). Furthermore, the GSTP1 A/G gene polymorphism was associated with the susceptibility of breast cancer for the analysis of the controls from hospital. In conclusion, GSTP1 A/G gene polymorphism is associated with the breast cancer susceptibility in Asians. However, more studies on the relationship between GSTP1 A/G gene polymorphism and the risk of breast cancer should be performed in further.

Methylenetetrahydrofolate reductase (MTHFR) enzyme plays an important role in folate metabolism and MTHFR polymorphisms have been suggested to be associated with risk of various cancers. MTHFR C677T polymorphism is a common genetic alteration and may affect the host susceptibility to ovarian cancer. The aim of this study was to investigate the association between MTHFR C677T polymorphism and ovarian cancer risk by performing a meta-analysis. Pubmed, Embase, Web of Science and Chinese Biomedical Database (CBM) databases were searched for case-control studies investigating the association between MTHFR C677T polymorphism and ovarian cancer. Odds ratio (OR) and its 95 % confidence interval (95 % CI) was used to assess this possible association. 13 individual case-control studies from 10 publications with a total of 18, 628 subjects (5, 932 cases and 12, 696 controls) were included into this meta-analysis. Meta-analyses showed there was no association between MTHFR C677T polymorphism and ovarian cancer risk in Caucasians under all five genetic models (All P values for the pooled ORs were more than 0.05), whereas there was an obvious association between MTHFR C677T polymorphism and ovarian cancer risk in Asians under four genetic models (for T vs C, OR (95 % CI) = 1.38(1.19-1.61); for TT vs CC, OR (95 % CI) = 2.32(1.63-3.29); for TT vs TC+CC, OR (95 % CI) = 2.04(1.47-2.85); for TT+TC vs CC, OR (95 % CI) = 1.36(1.12-1.65)). Subgroup analyses suggested ethnicity was the major source of heterogeneity. This meta-analysis supports an association between MTHFR C677T polymorphism and ovarian cancer risk, and there might be a race-specific effect in this association. Further studies with large sample size and careful design are needed to identify this association more comprehensively.

Inconsistency of reported associations between the C1420T polymorphism in the cytosolic serine hydroxymethyltransferase (SHMT1) gene and colorectal cancer (CRC) prompted us to undertake a meta-analysis.

Evidence is accumulating that several genes encoding DNA repair molecules may be cancer-susceptibility genes. Recently, SNPs in XRCC4, a member of DNA repair genes, have been implicated in altering the risk of various cancers. However, the results of these studies are inconclusive or controversial. To derive a more precise estimation, we performed an updated meta-analysis.

The caspase (CASP) gene family is known to be involved in apoptosis, cytokine maturation, cell growth, and differentiation. A large number of single nucleotide polymorphisms (SNPs) in the CASP gene family have been increasingly recognized as important regulators in the development of lung cancer. However, this specific association is still controversial. In this Human Genome Epidemiology review and meta-analysis, we summarized the available evidence associating lung cancer with the CASP gene family. Seven studies, which included 1155 lung cancer cases and 1120 healthy controls, met the inclusion criteria and were included in our meta-analysis. In seven studies, 19 different SNPs have been studied in seven CASP genes, including CASP-1, -2, -5, -7, -8, -9, and -10. Meta-analysis results showed positive associations between heterozygote (A/G) of rs507879 in the CASP-5 gene, the T allele of rs12415607 in the CASP-7 gene, and the T allele and T carrier (C/T+T/T) of rs4645981 in the CASP-9 gene with lung cancer susceptibility [odds ratio (OR) = 1.83, 95% confidence interval (95%CI) = 1.07-3.12, P = 0.03; OR = 1.18, 95%CI = 1.02-1.37, P = 0.03; OR = 1.43, 95%CI = 1.12-1.81, P = 0.004; OR = 1.46, 95%CI = 1.10-1.93, P = 0.009; respectively]. However, we found that homozygote (G/G) of rs2227310 in the CASP-7 gene, del allele, heterozygote (ins/del), and del carrier (ins/del + del/del) of rs3834129 in CASP-8 could be protective factors for lung cancer (OR = 0.17, 95%CI = 0.14-0.21, P = 0.0003; OR = 0.83, 95%CI = 0.72-0.97, P = 0.02; OR = 0.74, 95%CI = 0.64-0.85, P < 0.0001; OR = 0.81, 95%CI = 0.71-0.93, P = 0.002; respectively). In conclusion, based on this meta-analysis, we suggest that SNPs in CASP-5, -7, -8, and -9 are associated with susceptibility to lung cancer.

Caspase-8 is a key regulator of apoptosis. Its cancer cell antigen induced cell death activity is strongly impacted by the insertion/deletion promoter polymorphism CASP8 -652 6N ins/del (rs3834129). We studied the association of this polymorphism with renal cell carcinoma risk and pathology.

A meta-analysis on the risk of hepatocellular carcinoma (HCC) among hepatitis B virus (HBV) genotypes is warranted as the current data are conflicting.

Prostate cancer (PCa) is a worldwide disease that affects a large number of males. Although prostate-specific antigen (PSA) screening is used, the specificity is limited. This study analyzes the sensitivity and specificity of adenomatous polyposis coli (APC) methylation for PCa detection in body fluids and tissues. Combining search results from PubMed and Embase, 19 studies were included, 5 involving body fluids and 14 involving prostate tissue, with 2344 subjects. In body fluid subgroups, the pooled sensitivity and specificity was 0.53 (95% confidence interval (CI): 0.28-0.78) and 0.92 (95% CI: 0.86-0.95), respectively. From tissue studies, the results presented as 0.84 (95% CI: 0.70-0.92) and 0.91 (95% CI: 0.77-0.97). To confirm the results, we conducted a further analysis by removing studies which introduced high heterogeneity due to the type of cases and controls. The same degree of sensitivity and specificity was presented in two subgroups (urine: sensitivity 0.46, 95% CI: 0.39-0.53; specificity 0.87, 95% CI: 0.64-0.96; tissue: sensitivity 0.87, 95% CI: 0.72-0.94; specificity 0.89, 95% CI: 0.68-0.97). In addition, analysis of the interaction between APC methylation and PCa showed strong association in the whole data set (odds ratio (OR)=24.91, 95% CI: 12.86-48.24, I(2)=72.5%). Pooling the same two main subgroups (tissue/fluid) gave a pooled OR of 33.54 (95% CI: 14.88-75.59; I(2)=70.7%) and 8.20 (95% CI: 2.84-23.74, I(2)=64.2%), respectively. From this study, the results suggest that APC promoter methylation may be the potential testing for PCa diagnosis and provide a new viewpoint in the treatment of PCa.

MicroRNAs (miRNAs) are a class of new non-coding RNA, which may play a more important role in the pathogenesis of human cancers. Rs2910164 in miR-146a and rs3746444 in miR-499 are shown to be associated with increased/decreased cancer risk. We performed a meta-analysis to systematically summarize the possible association. We retrieved the relevant articles from PubMed databases. Studies were selected using specific inclusion and exclusion criteria. ORs and 95% CIs were calculated to access the strength of association between microRNA polymorphism and cancer risk. All analyses were performed using the Stata software. Twenty-nine studies were included in this meta-analysis. There were not significant associations between miR-146a rs2910164 and miR-499 rs3746444 polymorphisms with overall cancer risk. In the subgroup analysis by ethnicity, significantly affected cancer risks were found among Asians for both rs2910164 (GC vs. GG: OR = 0.89, 95% CI = 0.82-0.96; CC vs. GG: OR = 0.80, 95% CI = 0.66-0.97; GC + CC vs. GG: OR = 0.86, 95% CI = 0.76-0.97; C vs. G: OR = 0.91, 95% CI = 0.82-1.00) and rs3746444 (GG + AG vs. AA: OR = 1.21, 95% CI = 1.00-1.46). In the tumor type subgroup analysis, rs2910164 C allele decreased the risk of hepatocellular carcinoma (C vs. G: OR = 0.89, 95% CI = 0.80-1.00) and cervical squamous cell carcinoma (C vs. G: OR = 0.72, 95% CI = 0.62-0.84). The rs2910164 in miR-146a and the rs3746444 in miR-499 are likely to be associated with cancer risk.

The association between a single nucleotide polymorphism rs13281615A > G located in the 8q24 and breast cancer risk is still controversial and ambiguous. Hence, we performed a more convincing and precise estimation of the relationship between 8q24 and breast cancer by meta-analyzing the currently available evidence from literature. PubMed, Ovid, Medline, and Web of Science databases were searched. A total of 10 publications containing 11 studies including 40,762 cases and 50,380 controls were identified. Crude odds ratio with 95 % confidence interval was used to assess the strength of association. We observed that the 8q24 rs13281615A > G polymorphism was significantly correlated with breast cancer risk when all studies were pooled into the meta analysis. In the stratified analysis by ethnicity, significantly increased risks were also found among Caucasians for all genetic models. For mixed ethnicities, significantly increased risks were found for all genetic models except for the allele contrast model. However, no significantly increased risk was found among Africans for all genetic models. Interestingly, when stratified by BRCA1 mutation carriers status, significantly decreased breast cancer risk was found for allele contrast model. But significantly increased breast cancer risk was found in the BRCA2 mutation carriers for all genetic models except for the recessive model. There was no evidence for significant association between 8q24 rs13281615A > G polymorphism and breast cancer risk in BRCA1 and BRCA2 positive cohort in all comparable models. In conclusion, this meta-analysis suggests that the 8q24 rs13281615A > G polymorphism is a low-penetrant risk factor for developing breast cancer but may not be in Africans.

Plasminogen activator inhibitor type 1 (PAI-1) is associated with poor prognosis in breast cancer. Transcriptional expression of the PAI-1 can be controlled by PAI-1 promoter 4G/5G polymorphism. However, the significance of PAI-1 promoter 4G/5G polymorphism in breast cancer patients is contentious. To address this controversy, we conducted a meta-analysis for the relationships between PAI-1 promoter polymorphism and clinicopathological characteristics of breast cancer.

Many studies have examined the association between the XRCC3 Thr241Met gene polymorphism and lung cancer risk in various populations, but their results have been inconsistent. To assess this relationship more precisely, a meta-analysis was performed. The PubMed, Embase, Web of Science, and CNKI database was searched for case-control studies published up to July 2012. Data were extracted and pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated.Ultimately, 17 studies, comprising 4123 lung cancer cases and 5597 controls were included. Overall, for T allele carriers (TC + TT) versus the wild-type homozygotes (CC), the pooled OR was 0.95 (95% CI = 0.87-1.04 P = 0.228 for heterogeneity), for TT versus CC the pooled OR was 0.99 (95% CI = 0.86-1.15 P = 0.315 for heterogeneity). In the stratified analysis by ethnicity, histological types of lung cancer and smoking status, no any significantly risks were found for (C/T + T/T) vs C/C or T/T vs C/C. No publication bias was found by using the funnel plot and Egger's test.Overall, there is no evidence showing a significant correlation between XRCC3 Thr241Met polymorphism and lung cancer risk stratified analysis by ethnicity, histology and smoking status.

The association between the methylenetetrahydrofolate reductase (MTHFR) C677T/A1298C polymorphisms and the susceptibility to cervical lesions was unclear. This study was designed to investigate their precise association using a large-scale meta-analysis.

To quantitatively investigate the association between the polymorphism of FokI of the VDR gene and the susceptibility of prostatic cancer.

ABCB1/MDR1 protein is found in high concentrations on the apical surfaces of colonic epithelial cells. It acts as an efflux pump by transporting toxic endogenous substances, drugs and xenobiotics out of cells. Polymorphisms in the ABCB1/MDR1 gene may either change expression of the ABCB1/MDR1 protein or alter its function, suggesting its possible association with colorectal cancer. Several studies have reported a relationship between ABCB1 gene polymorphisms and colorectal cancer risk, but no consistent conclusion has been reached. We therefore conducted a meta-analysis to identify any association between the ABCB1 gene and CRC risk.