Two novel genetic variants in the STK38L and RAB27A genes are associated with glioma susceptibility.

Glioma is the most common malignant primary brain tumors with poor prognosis. Genome wide association studies (GWAS) of glioma in populations with Western European ancestry were completed in the US and UK. However, our previous results strongly suggest the genetic heterogeneity could be important in glioma risk. To systematically investigate glioma risk-associated variants in Chinese population, we performed a multistage GWAS of glioma in the Han Chinese population, with a total of 3,097 glioma cases and 4,362 controls. In addition to confirming two associations reported in other ancestry groups, this study identified one new risk-associated locus for glioma on chromosome 12p11.23 (rs10842893, pmeta = 2.33x10-12, STK38L) as well as a promising association at 15q15-21.1 (rs4774756, pmeta = 6.12x10-8, RAB27A) in 3,097 glioma cases and 4,362 controls. Our findings demonstrate two novel association between the glioma risk region marked by variant rs10842893 and rs4774756) and glioma risk. These findings may advance the understanding of genetic susceptibility to glioma.

Pleckstrin homology-like domain family B member 1 rs498872 polymorphism and glioma risk in Chinese Han population.

This case-control study aimed to investigate the association between PHLDB1 rs498872 polymorphism and the risk of glioma in a Chinese Han population. A total of 210 patients and 235 controls were enrolled in this study. The CT genotype and TT genotype were significantly associated with the risk of glioma (OR=1.48, 95%CI 1.00-2.19, P=0.05 and OR=2.40, 95%CI 1.06-4.10, P=0.03), respectively. In addition, T allele of PHLDB1 rs498872 polymorphism was significantly associated with an increased risk of glioma (OR=1.58, 95%CI 1.08-2.29, P=0.02). We also found that PHLDB1 rs498872 polymorphism was not associated with histology and tumor grade of glioma. In conclusion, this study found that PHLDB1 rs498872 polymorphism was significantly associated with glioma risk in Chinese Han population.

Effect of CDKN2A/B rs4977756 polymorphism on glioma risk: a meta-analysis of 16 studies including 24077 participants.

So far, epidemiological studies have been performed to investigate the association of CDKN2A/B rs4977756 polymorphism and glioma risk. However, the results from different studies remain inconsistent. To clarify these conflicts and to quantitatively evaluate the effect of rs4977756 polymorphism on glioma risk, a meta-analysis was conducted using relevant published clinical studies about rs4977756 polymorphisms and glioma risk. Relevant studies concerning the association between rs4977756 polymorphism and risk of glioma were included in this meta-analysis. Odds ratio (OR) and 95 % confidence interval (CI) were calculated under fixed or random effects models when appropriate. Subgroup analyses were performed by race. This meta-analysis included 13 studies with a total of 8129 cases and 15,858 controls. The pooled results showed that there was an obvious association of CDKN2A/B rs4977756 polymorphism with risk of glioma in all four comparison models (dominant model/AG + GG vs. AA: OR = 1.36, 95 %CI = 1.20-1.54, p < 0.01; heterozygote comparison/AG vs. AA: OR = 1.31, 95 %CI = 1.12-1.53, p < 0.01; homozygote comparison/GG versus AA: OR = 1.49, 95 %CI = 1.36-1.64, p < 0.01; additive model/G vs. A: OR = 1.23, 95 %CI = 1.18-1.28, p < 0.01, respectively). For the subgroup analyses of ethnicities, similar results were observed in Caucasians. However, the association was not found between rs4977756 polymorphism and the risk of glioma in all models for the Asian studies. The CDKN2A/B rs4977756 polymorphism is obvious increase the risk of glioma in Caucasians. Future studies are needed to confirm the results in other ethnic populations.

Investigation of the role of XRCC1 genetic polymorphisms in the development of gliomas in a Chinese population.

We conducted a study in a Chinese Han population to investigate the role of XRCC1 gene polymorphisms (Arg399Gln and Arg194Trp) with a risk of susceptibility to gliomas. Samples from 115 patients with gliomas and 228 control subjects were consecutively collected between March 2012 and December 2014. Genotype analysis of XRCC1 Arg399Gln and Arg194Trp was performed using polymerase chain reaction-restriction fragment length polymorphism assay. All the analyses were performed using the SPSS 17.0 software package. We observed that the XRCC1 Arg399Gln and Arg194Trp genotype frequencies conformed to the Hardy-Weinberg equilibrium. We observed that the Trp/Trp genotype of XRCC1 Arg194Trp was associated with an increased risk of glioma when compared to the wild-type genotype (odds ratio (OR) = 2.14, 95% confidence interval (CI) = 1.14-3.86, P = 0.03). In the dominant model, we found that the Arg/Trp + Trp/Trp genotype of XRCC1 Arg194Trp could significantly elevate the susceptibility of developing glioma (OR = 1.79, 95%CI = 1.07-0.94). However, we observed that the XRCC1 Arg399Gln genetic polymorphism did not influence the risk of glioma. In summary, we suggest that the XRCC1 Arg194Trp genetic polymorphism could be a predictive biomarker for the susceptibility to glioma in a Chinese population.

Assessing the association between EFEMP1 rs3791679 polymorphism and risk of glioma in a Chinese Han population.

In this study, we assessed the association between the EFEMP1 rs3791679 polymorphism and glioma risk in a Chinese Han population. A total of 94 glioma patients and 206 healthy controls who conformed to the inclusion and exclusion criteria were recruited from Baogang Hospital between March 2012 and October 2014. The EFEMP1 rs3791679 gene polymorphism was assessed using a polymerase chain reaction-restriction fragment length polymorphism assay and the results were statistically analyzed using SPSS Statistics 17.0. The results of unconditional logistic regression analysis revealed that the GG genotype of EFEMP1 rs3791679 was positively correlated with increased susceptibility to glioma (adjusted OR = 2.09, 95%CI = 1.21-7.81). Moreover, the GG genotype of EFEMP1 rs3791679 was correlated with higher risk of glioma compared to the AA+GA genotype (OR = 2.60, 95%CI = 1.08-6.28) in the regressive model. In conclusion, we report that the EFEMP1 rs3791679 polymorphism influences glioma susceptibility in the Chinese Han population.

CCDC26 rs4295627 polymorphism (8q24.21) and glioma risk: a meta-analysis.

The association between the CCDC26 rs4295627 single nucleotide polymorphism (SNP) and the glioma risk has been studied previously, but these studies have yielded conflicting results. The aim of the present study is to analyze this association more vigorously, by means of a meta-analysis. A comprehensive literature search was performed in databases PubMed and EMBASE. Six articles including 12 case-control studies in English with 11,368 controls and 5891 cases were eligible for the meta-analysis. We conducted subgroup analyses by the source of controls, ethnicity, and country. Our meta-analysis revealed that the rs4295627 SNP was associated with the glioma risk in a heterozygote model (TG versus TT: odds ratio = 1.35, 95% confidence interval = 1.26-1.45, P = 0.066). Moreover, our results suggested that the rs4295627 SNP was associated with a notably increased risk of glioma among Caucasians except for Swedes in 4 models (the homozygote model, recessive model, dominant model, and additive model). Nonetheless, in Sweden and China, the results showed no associations. No evidence of the publication bias was uncovered. Thus, our meta-analysis suggests that the rs4295627 SNP is associated with an increased risk of glioma. Additional studies are needed to derive more precise conclusion.

Association between genetic polymorphisms of PTGS2 and glioma in a Chinese population.

Several previous studies indicated that genetic polymorphisms in inflammatory factor genes were associated with glioma risk. However, the relationship between the prostaglandin-endoperoxide synthase 2 (PTGS2) genetic polymorphism and glioma remains unclear in the Chinese population. We selected 199 histologically confirmed adult glioma patients and 199 cancer-free controls for the present study and analyzed the distribution of the PTGS2 genotypes and haplotypes. We found that the CC+CT genotype of rs5275 was common in the control group but not in the glioma group (P = 0.033). In addition, we found that the frequency of the C allele was higher in the control group than in the glioma group (P = 0.014). For rs6681231, although we found no significant difference between the 2 groups in genotype distribution, we found that the frequency of the C allele was lower in glioma patients than in control subjects (P = 0.044). We found no significant difference between these 2 groups in the rs689466 genotype and allele distributions. Haplotype analysis suggested that the frequency of the C-A-C haplotype was significantly lower in glioma patients than in control subjects [P = 0.028, odds ratio (OR) = 0.628, 95% confidence interval (CI) = 0.413-0.955]. However, the frequency of the T-A-G haplotype was higher in glioma patients than in control subjects (P = 0.036, OR = 1.418, 95%CI = 1.022-1.967). Therefore, polymorphisms in the PTGS2 gene may be associated with glioma susceptibility in the Chinese population.

DNA repair gene XRCC3 variants are associated with susceptibility to glioma in a Chinese population.

The susceptibility to glioma is not well understood. It has been suggested that the X-ray cross complementing group 3 (XRCC3) gene influences the capacity to repair DNA damage, leading to increased glioma susceptibility. In this study, we evaluated the relationship between XRCC3 mutations and glioma risk. Genotypes were assessed in 389 Chinese glioma patients and 358 healthy controls. XRCC3 Thr241Met (rs861539) and 2 additional polymorphisms, rs3212112 (c.774+19T>G) and rs1799796 (c.562-14A>G), were directly sequenced. The frequency of the rs861539 T allele was significantly lower in the glioma group than in healthy controls [11.1 vs 17.7%, odds ratio = 0.62 (0.48-0.80), P < 0.001]; the frequencies of the CT or CT+TT genotypes differed between groups (18.5 vs 31%, 20.3 vs 33.2%, respectively). The frequency of the rs3212112 G allele was significantly higher in the glioma group than in healthy controls [15.8 vs 5.3%, odds ratio = 2.94 (2.07-4.17), P < 0.001]. The frequencies of the GT or TG+GG genotypes differed between groups (25.4 vs 7.8%, 28.5 vs 9.2%, respectively). This study demonstrates that the rs861539 and rs3212112 polymorphisms in the XRCC3 gene may influence the risk of glioma development in Chinese populations.

Glioma risks associate with genetic polymorphisms of XRCC1 gene in Chinese population.

Glioma is the most common type of primary brain tumors in adults. Previous evidence indicates that the X-ray repair cross-complementing group 1 gene (XRCC1) is an important candidate gene which influencing the pathogenesis of glioma. This study aims to assess the potential associations between glioma risks and genetic polymorphisms of XRCC1 gene. A total of 1,286 Chinese Han ethnic subjects consisting of 638 glioma patients and 648 controls were recruited in this case-control study. The genotyping of XRCC1 genetic polymorphisms (c.482C>T, c.1161G>A, and c.1804C>A) were conducted using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), created restriction site-PCR (CRS-PCR) and DNA sequencing methods. Our data indicated that the allelic and genotypic frequencies of these genetic polymorphisms in glioma patients were significantly different from those of controls. We detected that the alleles/genotypes were statistically associated with the increased risks of glioma (for c.482C>T, TT versus (vs.) CC: OR = 2.24, 95% CI = 1.48-3.39, P < 0.001; T vs. C: OR = 1.30, 95% CI = 1.09-1.53, P = 0.003; for c.1161G>A, AA vs. GG: OR = 1.62, 95% CI = 1.11-2.35, P = 0.012; A vs. G: OR = 1.19, 95% CI = 1.01-1.41, P = 0.040; for c.1804C>A, AA vs. CC: OR = 2.12, 95% CI = 1.45-3.11, P < 0.001; A vs. C: OR = 1.32, 95% CI = 1.12-1.56, P = 0.001). Our findings suggest that these genetic polymorphisms of XRCC1 gene may influence glioma risks in Chinese Han ethnic subjects, and might be potential molecular markers for evaluating glioma risks.

Association of the interleukin-4Rα rs1801275 and rs1805015 polymorphisms with glioma risk.

Potential single-nucleotide polymorphisms (SNPs) of interleukin-4 receptor alpha (IL-4Rα) rs1801275 and rs1805015 have been implicated in glioma risk; however, the findings of previous published case-control studies are conflicting and inconclusive. We performed the updated meta-analysis with the aim to provide a more precise estimate for the role of interleukin-4Rα SNPs in glioma risk. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of the gene association. Overall, the pooled analysis showed that the IL-4Rα rs1801275 polymorphism was associated with a decreased risk of glioma in the comparison of G vs. A (OR = 0.87, 95% CI = 0.76-0.99, P OR = 0.041). Subgroup analysis by ethnicity revealed that the IL-4Rα rs1801275 variant G and GG + AG exerted a decreased risk effect on the development of glioma among Asians, but not Caucasians (G vs. A, OR = 0.81, 95% CI = 0.69-0.95, P OR = 0.011; GG + AG vs. AA, OR = 0.80, 95% CI = 0.66-0.96, P OR = 0.018). However, the IL-4Rα rs1805015 polymorphism did not modify the risk of glioma. Sensitivity analysis confirmed the reliability for all of the results. Our meta-analysis suggests that the polymorphism of IL-4Rα rs1801275 but not IL-4Rα rs1805015 plays a protective role in the glioma pathogenesis, particularly among Asians.

Association between GSTP1 Ile105Val polymorphism and glioma risk: a systematic review and meta-analysis.

Glutathione S-transferase P1 (GSTP1) gene Ile105Val polymorphism has been suggested to be involved in the development of glioma. However, the results from the studies regarding the association between GSTP1 Ile105Val polymorphism and glioma risk have been inconsistent. Thus, we performed a meta-analysis to investigate this association. Pooled odds ratios (ORs) with 95% confidence intervals (95%CIs) were calculated using random or fixed effects model. Nine studies with 2,078 cases and 3,970 controls were finally included into this meta-analysis. The results suggested there was no association between GSTP1 Ile105Val polymorphism and glioma risk under recessive model (OR = 1.138, 95%CI = 0.966-1.341, Pheterogeneity = 0.088, P = 0.123). Subgroup analyses by ethnicity showed there was also no association between GSTP1 Ile105Val polymorphism and glioma risk in mixed populations under recessive model (OR = 1.199, 95%CI = 0.928-1.549, Pheterogeneity = 0.060, P = 0.166) and Caucasian populations (OR = 1.097, 95%CI = 0.885-1.360, Pheterogeneity = 0.186, P = 0.398). In conclusion, the meta-analysis suggests that there is no association between GSTP1 Ile105Val polymorphism and glioma risk. However, more well-designed and larger studies are needed to further assess this association.

Quantitative assessment of the association between +61A>G polymorphism of epidermal growth factor gene and susceptibility to glioma.

Numerous studies have investigated the risk of cancer associated with the polymorphism of epidermal growth factor (EGF) 61A>G, but results have been inconsistent. We performed this meta-analysis to drive a more precise estimation of the association between this polymorphism and risk of glioma. A comprehensive search was conducted to identify all case-control studies on the EGF +61A>G polymorphism and glioma risk. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to assess the strength of the association. Statistical analysis was performed with the software program Stata (version 12.0). A total of ten eligible studies, including 1,888 cases and 2,836 controls were included in this work. Overall, there was a significant association between EGF +61A>G polymorphism and glioma risk in the allele model (OR = 1.419, 95% CI = 1.144-1.759, P = 0.001). In the subgroup analysis by ethnicity, significant associations were also found in Asian populations under all different genetic models (homozygote model: OR = 1.727, 95% CI = 1.310-2.275, P = 0.000; heterozygote model: OR = 1.202, 95% CI = 1.023-1.413, P = 0.025; dominant model: OR = 1.279, 95% CI = 1.096-1.491, P = 0.002; recessive model: OR = 1.590, 95% CI = 1.221-2.070, P = 0.001; and A-allele versus G-allele OR = 1.600, 95% CI = 1.145-2.236, P = 0.006). However, no significant associations were found among Caucasians in all comparison models. In conclusion, the results suggest that there is a significant association between EGF +61A>G polymorphism and glioma risk among Asians.

The survival of patients with high grade glioma from different ethnic groups in South East England.

Studies in the United States (US) have reported varying treatment and survival for patients with high grade glioma from different ethnic groups. This study investigates for the first time whether differences also exist in the United Kingdom (UK). This population-based cohort study used cancer registration data for 4,845 patients diagnosed in South East England between 2000 and 2009. Linked self-assigned ethnicity data within Hospital Episode Statistics were used to define White, Indian, Pakistani, Bangladeshi, Black Caribbean, Black African, Other and Not known groups. Logistic regression was used to generate odds ratios for a record of receipt of treatment (surgery, radiotherapy and chemotherapy), adjusting for sex, age, morphology, socioeconomic deprivation and comorbidity in each ethnic group. Hazard ratios were generated using Cox regression, adjusting for sex, age, morphology, socioeconomic deprivation, comorbidity and treatment. The overall one-year survival was 28.4 %. Ethnicity data was available for 3,793 (78 %) patients. Receipt of treatment was generally similar between different ethnic groups after adjustment for sex, age, morphology, socioeconomic deprivation and comorbidity. After adjustment for potential confounders, the Indian (HR 0.72, p = 0.037) and Other groups (HR 0.76, p = 0.003) had better survival, while the Not known group (HR 1.34, p < 0.0001) had worse survival than the White group. Patients from UK Indian groups have better survival than White patients while those from Black ethnic groups appear to have similar survival to White patients. These findings suggest the need to investigate possible contributing factors including the completeness of follow-up, clinical performance status and tumour biology.

Association between telomerase reverse transcriptase rs2736100 polymorphism and risk of glioma.

BACKGROUND: Epidemiological studies have been conducted to investigate the association of telomerase reverse transcriptase (TERT) rs2736100 polymorphism with glioma risk. The aim of the present study was to evaluate the association of TERT rs2736100 polymorphism with glioma risk using a meta-analysis approach. MATERIALS AND METHODS: All eligible studies were identified through a search of PubMed, EMBASE, China National Knowledge Infrastructure, Database of Chinese Scientific and Technical Periodicals, and China Biology Medical literature database before January 2014. The association between the TERT rs2736100 polymorphism and glioma risk was estimated by odds ratio (OR) and 95% confidence interval (CI). RESULTS: A total of nine case-control studies including 9411 cases and 13,708 controls were eventually collected. Overall, we found that TERT rs2736100 polymorphism was significantly associated with the risk of glioma (OR = 1.29, 95% CI 1.24-1.34, P < 0.001). In the subgroup analysis based on ethnicity, the significant association was found in Caucasians (OR = 1.29, 95% CI 1.24-1.34, P < 0.001). In subgroup analyses by histology, the associations were significant in glioblastoma (OR = 1.45, 95% CI 1.32-1.60, P < 0.001), astrocytoma (OR = 1.41, 95% CI 1.26-1.58, P < 0.001), and oligodendroglioma (OR = 1.20, 95% CI 1.05-1.37, P = 0.008). CONCLUSIONS: Taken together, these data suggested that TERT rs2736100 polymorphism may contribute to glioma susceptibility.

Exploring disparities in surgical recommendations for patients with primary intramedullary spinal cord tumors: an analysis of the Surveillance, Epidemiology, and End Results database from 2000 to 2019.

OBJECTIVE: Factors that may drive recommendations for operative intervention for patients with intramedullary spinal cord tumors (ISCTs) have yet to be extensively studied. The authors investigated racial and socioeconomic disparities in the management of patients with primary spinal cord ependymomas and nonependymal gliomas, with the aim of determining the associations between socioeconomic patient characteristics, survival, and recommendations for the resection of primary ISCTs. METHODS: The Surveillance, Epidemiology, and End Results registry was queried to identify all patients > 18 years of age with ISCTs diagnosed between 2000 and 2019. Univariable and multivariable logistic regression analyses were used to calculate odds ratios for variables associated with receiving a surgical recommendation. Log-rank tests and multivariable Cox proportional hazards models were used to investigate overall survival (OS) and disease-specific survival (DSS). RESULTS: The authors identified 2325 patients (mean age 49 [SD 16] years; 48.8% female; 67.4% non-Hispanic White, 7.8% non-Hispanic Black, 16.2% Hispanic, 6.5% Asian/Pacific Islander, 0.6% Native American; 56.7% married; 64.4% with household income < $75,000; 73.8% with spinal ependymoma; and 26.2% with nonependymal spinal glioma). Eighty-seven percent of patients received a surgical recommendation. In multivariable models, marriage was associated with higher odds of receiving a surgical recommendation for ependymomas (OR 1.80, p = 0.005). In multivariable models for nonependymal spinal gliomas, older age (OR 0.98, p = 0.001) and increased number of tumors (OR 0.62, p = 0.015) were associated with decreased odds of receiving surgical recommendations. Among ependymomas, marriage (HR 0.59, p = 0.001), younger age (HR 0.93, p < 0.001), female sex (HR 0.43, p = 0.006), and decreased number of tumors (HR 0.56, p < 0.001) were associated with improved OS. Among nonependymal spinal gliomas, median household income ≥ $75,000 (HR 0.69, p = 0.020) and younger age (HR 0.98, p < 0.001) were associated with improved DSS, while Black race (HR 4.65, p = 0.027) and older age (HR 1.05, p < 0.001) were associated with worse OS. CONCLUSIONS: In patients with spinal ependymomas and nonependymal spinal gliomas, recommendations for surgery appear to be unaffected by patient sex, race, or income. Survival disparities appear to exist among unmarried, male, Black, and lower-income cohorts. Continued initiatives to identify drivers of disparities while improving health equity in this patient population are needed.

Association of the MTHFR C677T polymorphism with primary brain tumor risk.

Methylenetetrahydrofolate reductase (MTHFR) gene plays key roles not only in folate metabolism but also in carcinogenesis. The single nucleotide polymorphism MTHFR C677T has been indicated in the development of various tumors. The effect of the MTHFR C677T polymorphism on brain tumors remains poorly understood. We performed the present meta-analysis and aimed to provide a better understanding of the pathogenesis of brain tumors. A literature search of the PubMed, Embase, Web of Science, and Wanfang databases was carried out for potential relevant publications. We calculated the pooled odds ratio (OR) with corresponding 95% confidence interval (95% CI) to assess the association of MTHFR C677T with the susceptibility to brain tumors. We also performed stratified analysis and sensitivity analysis to further estimate the genetic association. All statistical analyses were conducted by the use of STATA 11.0 (STATA Corporation, College Station, TX, USA). Eight case-control studies involving a total of 3,059 cases and 3,324 controls were retrieved according to the inclusion criteria. The overall ORs suggested that the MTHFR C677T variant can exert a risk effect on brain tumor development under the following contrast models (OR(TC vs. CC) = 1.14, 95% CI 1.02-1.27, P OR = 0.018; OR(TT + TC vs. CC)= 1.23, 95% CI 1.01-1.51, P(OR) = 0.043). No significant correlation was identified among the Caucasians, but not among the Asians. In addition, the TC genotype carriers were more susceptible to meningioma when compared with the CC genotype carriers (OR(TC vs. CC) = 1.38, 95% CI 1.15-1.65, P(OR) < 0.001). The MTHFR C677T polymorphism seemed to exert no effect on glioma risk. The current meta-analysis firstly provides evidence that the MTHFR C677T polymorphism may modify the risk for brain tumors, particularly meningioma. The role of the MTHFR C677T variant in brain tumor pathogenesis across diverse ethnicities needs further elucidation by more future studies with large sample size.

Influence of county-level geographic/ancestral origin on glioma incidence and outcomes in US Hispanics.

BACKGROUND: Glioma incidence is 25% lower in Hispanics than White non-Hispanics. The US Hispanic population is diverse, and registry-based analyses may mask incidence differences associated with geographic/ancestral origins. METHODS: County-level glioma incidence data in Hispanics were retrieved from the Central Brain Tumor Registry of the United States. American Community Survey data were used to determine the county-level proportion of the Hispanic population of Mexican/Central American and Caribbean origins. Age-adjusted incidence rate ratios and incidence rate ratios (IRRs) quantified the glioma incidence differences across groups. State-level estimates of admixture in Hispanics were obtained from published 23andMe data. RESULTS: Compared to predominantly Caribbean-origin counties, predominantly Mexican/Central American-origin counties had lower age-adjusted risks of glioma (IRR = 0.83; P < 0.0001), glioblastoma (IRR = 0.86; P < 0.0001), diffuse/anaplastic astrocytoma (IRR = 0.78; P < 0.0001), oligodendroglioma (IRR = 0.82; P < 0.0001), ependymoma (IRR = 0.88; P = 0.012), and pilocytic astrocytoma (IRR = 0.76; P < 0.0001). Associations were consistent in children and adults and using more granular geographic regions. Despite having lower glioma incidence, Hispanic glioblastoma patients from predominantly Mexican/Central American-origin counties had poorer survival than Hispanics living in predominantly Caribbean-origin counties. Incidence and survival differences could be partially explained by state-level estimates of European admixture in Hispanics with European admixture associated with higher incidence and improved survival. CONCLUSIONS: Glioma incidence and outcomes differ in association with the geographic origins of Hispanic communities, with counties of predominantly Mexican/Central American origin at significantly reduced risk and those of Caribbean origin at comparatively greater risk. Although typically classified as a single ethnic group, appreciating the cultural, socioeconomic, and genetic diversity of Hispanics can advance cancer disparities research.

Fine mapping analysis of a region of 20q13.33 identified five independent susceptibility loci for glioma in a Chinese Han population.

Genome-wide association studies have identified the susceptibility single nucleotide polymorphisms (SNPs) of glioma at chromosome 20q13.33, and the replication study conducted among Chinese Han population also confirmed the susceptibility locus rs6010620 is located in this region. To identify other genetic variants in 20q13.33, we genotyped 13 common tagging SNPs and imputed 86 additional SNPs in a region ∼100 kb at 20q13.33 among 1027 controls and 987 cases. Among 99 SNPs, five independent susceptibility loci (20-62315594 in RTEL1, 20-62335293 in adenosine diphosphate ribosylation factor-related protein 1, rs3761121 in ZGPAT, rs1058319 in SLC2A4RG and rs5019252 in ZBTB46) were identified for glioma. Two of the five SNPs (20-62335293, P = 3.09 × 10(-10) and rs1058319, P = 1.26 × 10(-11)) satisfied the threshold of genome-wide significance (P < 10(-8)). Further stratified analysis revealed that 20-62315594 was only significantly associated with glioblastoma (GBM) risk [P = 1.71 × 10(-8) for trend test, adjusted odds ratio (OR) = 1.99, 95% confidence interval (CI) = 1.57-2.52]. Other four SNPs were significantly associated with both GBM and astrocytoma. The risk of glioma increased with the increase of the number of risk alleles (P = 1.94 × 10(-11), for trend test, adjusted OR = 1.43, 95% CI = 1.29-1.58), and the individuals who carried 7-10 risk alleles had a 2.64-fold increased risk of glioma development compared with those who carried 0 risk allele (P = 8.71 × 10(-7), adjusted OR = 2.64, 95% CI = 1.79-3.88). Our results indicated a complex effect contributing to glioma risk at 20q13.33, which may provide a new insight into glioma development. Both variants and genes in this region should be considered in future studies designed to investigate the biological functions.

Possible association between polymorphisms of human vascular endothelial growth factor A gene and susceptibility to glioma in a Chinese population.

Vascular endothelial growth factor A (VEGFA), one of the most predominant mediators of pathologic angiogenesis, plays a critical role in glioma carcinogenesis and development via promoting tumor growth. We hypothesized that VEGFA polymorphisms may influence glioma risk. We recently genotyped 9 VEGFA single-nucleotide polymorphisms (SNPs) in 766 glioma patients and 824 cancer-free controls selected from a Chinese population. We evaluated the glioma risk conferred by individual SNPs, haplotypes as well as cumulative SNP effect. In the single-locus analysis, we found that rs2010963 (G+405C, G-634C) [odds ratio (OR) = 1.29; 95% confidence interval (CI) = 1.04-1.58; GC/CC vs. GG] and rs3025030 (OR = 2.21; 95% CI = 1.18-4.14; CC vs. GG/GC) were associated with increased risk for glioma, and rs3024994 (OR = 0.66; 95% CI = 0.47-0.94; CT/TT vs. CC) was associated with reduced glioma risk, albeit insignificant after Bonferroni correction for multiple comparisons. The haplotype-based analysis revealed that AGG in block 1 and ATT, ACT in block 2 were associated with 20-40% reductions in glioma risk. The inverse association of haplotype AGG containing rs2010963G remained significant after correction for multiple testing (p = 0.002, p(corrected) = 0.022). The aforementioned 3 SNPs revealed a significant cumulative risk effect; the increased risk for glioma was 1.38-fold for each additional adverse genotype he or she carries (p(trend) = 8.4 × 10(-5) ). Our findings suggested that VEGFA variants may be involved in glioma risk. Larger studies with ethnically diverse populations are warranted to confirm the results reported in this investigation.

Association of sequence variants on chromosomes 20, 11, and 5 (20q13.33, 11q23.3, and 5p15.33) with glioma susceptibility in a Chinese population.

Two genome-wide association studies of glioma in European populations identified 14 genetic variants strongly associated with risk of glioma, but it is unknown whether these variants are associated with glioma risk in Asian populations. The authors genotyped these 14 variants in 976 glioma patients and 1,057 control subjects to evaluate their associations with risk of glioma, particularly high-grade glioma (glioblastoma; n = 312), in a Chinese population (2004-2009). Overall, the authors identified 3 susceptibility loci for glioma risk at 20q13.33 (RTEL1 rs6010620 (P = 2.79 × 10(-6))), 11q23.3 (PHLDB1 rs498872 (P = 3.8 × 10(-6))), and 5p15.33 (TERT rs2736100 (P = 3.69 × 10(-4))) in this study population; these loci were also associated with glioblastoma risk (20q13.33: RTEL1 rs6010620 (P = 3.57 × 10(-7)); 11q23.3: PHLDB1 rs498872 (P = 7.24 × 10(-3)); 5p15.33: TERT rs2736100 and TERT rs2736098 (P = 1.21 × 10(-4) and P = 2.84 × 10(-4), respectively)). This study provides further evidence for 3 glioma susceptibility regions at 20q13.33, 11q23.3, and 5p15.33 in Chinese populations.