Ethnicity-Based Variations in Focal Adhesion Kinase Signaling in Glioblastoma Gene Expression: A Study of the Puerto Rican Hispanic Population.

Glioblastoma (GBM), an aggressive form of brain cancer, has a higher incidence in non-Hispanics when compared to the US Hispanic population. Using data from RT-PCR analysis of 21 GBM tissue from Hispanic patients in Puerto Rico, we identified significant correlations in the gene expression of focal adhesion kinase and proline-rich tyrosine kinase (PTK2 and PTK2B) with NGFR (nerve growth factor receptor), PDGFRB (platelet-derived growth factor receptor B), EGFR (epithelial growth factor receptor), and CXCR1 (C-X-C motif chemokine receptor 1). This study further explores these correlations found in gene expression while accounting for sex and ethnicity. Statistically significant (p < 0.05) correlations with an r value > ±0.7 were subsequently contrasted with mRNA expression data acquired from cBioPortal for 323 GBM specimens. Significant correlations in Puerto Rican male patients were found between PTK2 and PTK2B, NGFR, PDGFRB, EGFR, and CXCR1, which did not arise in non-Hispanic male patient data. The data for Puerto Rican female patients showed correlations in PTK2 with PTK2B, NGFR, PDGFRB, and EGFR, all of which did not appear in the data for non-Hispanic female patients. The data acquired from cBioPortal for non-Puerto Rican Hispanic patients supported the correlations found in the Puerto Rican population for both sexes. Our findings reveal distinct correlations in gene expression patterns, particularly involving PTK2, PTK2B, NGFR, PDGFRB, and EGFR among Puerto Rican Hispanic patients when compared to non-Hispanic counterparts.

The risk and prognostic factors for brain metastases in esophageal cancer patients: an analysis of the SEER database.

BACKGROUND: Brain metastases were rare in esophageal cancer patients. Using the Surveillance, Epidemiology, and End Results (SEER) database, the present study investigated the incidence, risk and prognostic factors of brain metastases in esophageal cancer patients. METHODS: Retrieving esophageal cancer patients diagnosed between 2010 and 2018 from the SEER database, univariable and multivariable logistic and cox regression models were used to investigate the risk factors for brain metastases development and prognosis, respectively. The brain metastases predicting nomogram was constructed, evaluated and validated. The overall survival (OS) of patients with brain metastases was analyzed by Kaplan-Meier method. RESULTS: A total of 34,107 eligible esophageal cancer patients were included and 618 of them were diagnosed with brain metastases (1.8%). The median survival of the brain metastatic esophageal cancer patients was 5 (95% CI: 5-7) months. The presence of bone metastases and lung metastases were the homogeneously associated factors for the development and prognosis of brain metastases in esophageal cancer patients. Patients younger than 65 years, American Indian/Alaska Native race (vs. White), overlapping lesion (vs. Upper third), esophageal adenocarcinoma histology subtype, higher N stage, and liver metastases were positively associated with brain metastases occurrence. The calibration curve, ROC curve, and C-index exhibited good performance of the nomogram for predicting brain metastases. CONCLUSIONS: Homogeneous and heterogeneous factors were found for the development and prognosis of brain metastases in esophageal cancer patients. The nomogram had good calibration and discrimination for predicting brain metastases.

Racial and ethnic disparities in survival of children with brain and central nervous tumors in the United States.

BACKGROUND: Despite improvements in overall survival for pediatric cancers, treatment disparities remain for racial/ethnic minorities compared to non-Hispanic Whites; however, the impact of race on treatment outcomes for pediatric brain and central nervous system (CNS) tumors in the United States is not well known. METHODS: We included 8713 children aged 0-19 years with newly diagnosed primary brain and CNS tumors between 2000 and 2015 from the Census Tract-level SES and Rurality Database developed by Surveillance, Epidemiology, and End Results (SEER) Program. We used chi-square tests to assess differences in sociodemographic, cancer, and treatment characteristics by race/ethnicity and Kaplan-Meier curves and Cox proportional hazards models to examine differences in 10-year survival, adjusting for these characteristics. RESULTS: Among 8713 patients, 56.75% were non-Hispanic White, 9.59% non-Hispanic Black, 25.46% Hispanic, and 8.19% from "other" racial/ethnic groups. Median unadjusted survival for all pediatric brain tumors was 53 months, but varied significantly by race/ethnicity with a median survival of 62 months for non-Hispanic Whites, 41 months for non-Hispanic Blacks, and 40 months for Hispanic and other. Multivariable analyses demonstrated minority racial groups still had significantly higher hazard of death than non-Hispanic Whites; Hispanic (adjusted hazard ratio [aHR] 1.25 [1.18-1.31]); non-Hispanic Black (aHR 1.12 [1.04-1.21]); other (aHR 1.22 [1.12-1.32]). Results were consistent when stratified by tumor histology. CONCLUSION: We identified disparities in survival among racial/ethnic minorities with pediatric brain and CNS tumors, with Hispanic patients having the highest risk of mortality. Eliminating these disparities requires commitment toward promoting heath equity and personalized cancer treatment.

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.

Adaptive functioning in pediatric brain tumor survivors: An examination of ethnicity and socioeconomic status.

BACKGROUND: Survivors of pediatric brain tumor are at risk for adaptive difficulties. The present study examined adaptive functioning in a multiethnic sample of survivors accounting for socioeconomic status, and whether demographic, diagnostic, and/or treatment-related variables predict adaptive outcomes. METHOD: Participants included a multiethnic sample of survivors (58 Caucasian, 34 Hispanic, and 22 other non-Caucasian; M age = 14.05 years, SD = 4.33) who were approximately seven years post-treatment. Parents rated adaptive functioning and provided demographic information. Diagnostic and treatment-related information was abstracted from the electronic medical record. RESULTS: Parent ratings of adaptive functioning were similar across Caucasian, Hispanic, and other non-Caucasian survivors covarying for family income and primary caregiver education, both of which served as proxies for socioeconomic status. All ethnic groups were rated lower than the normative mean in overall adaptive functioning as well as the specific domains of conceptual, social, and practical skills. Demographic, diagnostic, and treatment-related variables were differentially associated with adaptive functioning in survivors of pediatric brain tumor, though socioeconomic status emerged as a strong significant predictor of adaptive functioning domains. CONCLUSIONS: Adaptive outcomes do not differ as a function of ethnicity after accounting for primary caregiver education and family income. Racial and ethnic minorities may be at increased risk for poorer outcomes given their overrepresentation at lower income levels. Assessing demographic and treatment-related variables early on may be helpful in identifying children likely to develop adaptive difficulties.

Validation of the Chinese version of EORTC QLQ-BN20 for patients with brain cancer.

This is a single centre study in mainland China aiming to evaluate the reliability, validity and responsiveness of the Chinese version of EORTC QLQ-BN20, designed by The European Organization for Research and Treatment of Cancer Quality of Life Group to evaluate the life quality of patients with brain tumour, cancer or metastases. One hundred and eighty-eight patients with primary or secondary brain cancer from Hunan Provincial Tumor Hospital during September 2013 to June 2014 completed the Chinese EORTC QLQ-C30/BN20 questionnaires developed by translation, back translation and cultural adaptation. Results were statistically analysed using SPSS17.0. The internal consistency (Cronbach's α coefficient) was between .753 and .869, the correlation coefficients among items and its own dimension were bigger than .4, and all items had a better correlation with its own dimension. The Spearman was used to analyse the correlation of each dimension between EORTC QLQ-BN20 and EORTC QLQ-C30, and the result showed that individual dimensions were moderately correlated, other dimensions were weakly correlated. In conclusion, the Chinese version of EORTC QLQ BN20 questionnaire had great relevance, reliability, convergent validity and discriminant validity. It provides a valuable tool for the assessment of health-related quality of life in clinical studies of Chinese patients with primary or secondary brain cancer.

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.

Role of race in oncogenic driver prevalence and outcomes in lung adenocarcinoma: Results from the Lung Cancer Mutation Consortium.

BACKGROUND: The discovery of oncogenic drivers has ushered in a new era for lung cancer, but the role of these mutations in different racial/ethnic minorities has been understudied. The Lung Cancer Mutation Consortium 1 (LCMC1) database was investigated to evaluate the frequency and impact of oncogenic drivers in lung adenocarcinomas in the racial/ethnic minority patient population. METHODS: Patients with metastatic lung adenocarcinomas from 14 US sites were enrolled in the LCMC1. Tumor samples were collected from 2009 through 2012 with multiplex genotyping performed on 10 oncogenic drivers (KRAS, epidermal growth factor receptor [EGFR], anaplastic lymphoma kinase (ALK) rearrangements, ERBB2 [formerly human epidermal growth factor receptor 2], BRAF, PIK3CA, MET amplification, NRAS, MEK1, and AKT1). Patients were classified as white, Asian, African American (AA), or Latino. The driver mutation frequency, the treatments, and the survival from diagnosis were determined. RESULTS: One thousand seven patients were included. Whites represented the majority (n = 838); there were 60 AAs, 48 Asians, and 28 Latinos. Asian patients had the highest rate of oncogenic drivers with 81% (n = 39), and they were followed by Latinos with 68% (n = 19), whites with 61% (n = 511), and AAs with 53% (n = 32). For AAs, the EGFR mutation frequency was 22%, the KRAS frequency was 17%, and the ALK frequency was 4%. Asian patients were most likely to receive targeted therapies (51% vs 27% for AAs). There were no significant differences in overall survival. CONCLUSIONS: Differences were observed in the prevalence of oncogenic drivers in lung adenocarcinomas and in subsequent treatments among racial groups. The lowest frequency of drivers was seen for AA patients; however, more than half of AA patients had a driver, and those treated with targeted therapy had outcomes similar to those of other races. Cancer 2016;122:766-772. © 2015 American Cancer Society.

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.

Statistical Report of Central Nervous System Tumors Histologically Diagnosed in the Sichuan Province of China from 2008 to 2013: A West China Glioma Center Report.

BACKGROUND: Sichuan is a province in the west of China with a population of 81.4 million. This is the first statistical report of central nervous system (CNS) tumors surgically treated and histologically diagnosed in a large Chinese population. METHODS: All the patient data were obtained from 86 medical facilities, which covered the Sichuan province population. Data from patients who underwent surgery between 2008 and 2013 and corresponding histology samples were re-reviewed in the major pathology centers. All the CNS tumors were categorized according to International Classification of Diseases (ICD)-10 and ICD-O-3 classifications and reviewed manually. The tumor distribution was analyzed and stratified by gender, age, race, and tumor sites. Tumors in some ethnic minorities, such as the Tibetan people, also were analyzed. RESULTS: The final analytic dataset included 35,496 records. The top four histologic tumors were meningioma (28.51 %), pituitary adenoma (15.00 %), nerve sheath (13.77 %), and glioblastoma (11.82 %). There was a dramatically high incidence of malignant tumor in males. The median age at diagnosis ranged from 13 years (pineal region tumors) to 56 years (metastatic brain tumors). Most of the tumors in the insular lobe or cerebellum were low grade, whereas those in the thalamus or basal ganglia were likely to be high grade. The incidence of malignant tumors or high-grade gliomas in the Tibetans was significantly lower than in the Chinese Han population. CONCLUSION: This report is a preliminary statistical analysis of brain and spinal tumors in a large Chinese population and may serve as a useful resource for clinicians, researchers, and patients' families.

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.

Racial/Ethnic Differences in Pediatric Brain Tumor Diagnoses in Patients with Neurofibromatosis Type 1.

OBJECTIVE: To evaluate evidence for differences in pediatric brain tumor diagnoses by race and ethnicity using a cross-sectional study design in individuals with neurofibromatosis type 1 (NF1). STUDY DESIGN: Subjects with NF1 were ascertained from the NF1 Patient Registry Initiative and through a clinical record database of patients at a large academic medical center. Logistic regression was employed to calculate ORs and 95% CIs to analyze differences in the odds of brain tumor diagnosis by race (White, Black, Asian, other/unknown) and ethnic (Hispanic vs non-Hispanic) groups. RESULTS: Data from a total of 1546, 629, and 2038 individuals who were ascertained from the NF1 Patient Registry Initiative, clinical records, and pooled datasets were analyzed, respectively. After adjusting for birth year, we observed a significantly reduced odds of brain tumor diagnoses in individuals self-identified or clinically reported as Black (OR = 0.13, 95% CI 0.05-0.31), Asian (OR = 0.15, 95% CI 0.04-0.64), and other/unknown (OR = 0.61, 95% CI 0.41-0.93) race compared with those with reported as White race. There was no significant difference in the odds of pediatric brain tumor diagnosis by Hispanic ethnicity. CONCLUSIONS: Consistent with prior smaller studies, these data suggest that pediatric brain tumor diagnoses vary by race in individuals with NF1. Reasons underlying observed differences by race warrant further investigation.

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.

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.

Quantitative assessment of the association between TP53 Arg72Pro polymorphism and risk of glioma.

Many studies have investigated on the association between TP53 Arg72Pro polymorphism and risk of glioma, but the impact of TP53 Arg72Pro polymorphism on glioma risk is unclear owing to the obvious inconsistence among those studies. To shed light on these inconclusive findings and get a quantitative assessment of the association between the TP53 Arg72Pro polymorphism and risk of glioma, we conducted a meta-analysis of eligible studies. We searched PubMed and Embase databases for studies investigating on the association between the TP53 Arg72Pro polymorphism and risk of glioma. The pooled odds ratios (OR) with their 95% confidence intervals (95% CI) was calculated to assess the association between the TP53 Arg72Pro polymorphism and risk of glioma. A total of 12 studies were finally included into the meta-analysis. Meta-analysis of the 12 studies showed that TP53 Arg72Pro polymorphism was not associated with the risk of glioma (OR(Pro vs. Arg) = 1.07, 95% CI 0.93∼1.22; OR(ProPro vs. ArgArg) = 1.02, 95% CI 0.85∼1.22; OR(ProPro/ArgPro vs. ArgArg )= 1.06, 95% CI 0.85∼1.34; and OR(ProPro vs. ArgArg/ArgPro) = 1.07, 95% CI 0.91∼1.27). Subgroup analyses by ethnicity further identified that TP53 Arg72Pro polymorphism was not associated with the risk of glioma in Caucasians. However, there was a mild association between the TP53 Arg72Pro polymorphism and risk of glioma in Asians (OR(ProPro vs. ArgArg/ArgPro) = 1.42, 95% CI 1.00∼2.02). Thus, there is limited evidence for the association between the TP53 Arg72Pro polymorphism and risk of glioma, and more studies are needed to provide a more comprehensive assessment of the association in 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.

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.

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 prognosis of MGMT promoter methylation in glioblastoma patients of different race: a meta-analysis.

O(6)-Methylguanine-DNA methyltransferase (MGMT) is a DNA repair gene. Epigenetic silencing of the MGMT promoter methylation compromises DNA repair and has been associated with longer survival in patients with glioblastoma (GBM) who receive alkylating agents. But the prognostic of MGMT promoter methylation in GBM patients of different race is still ambiguous. Based on an univariate or multivariate analysis between different race (Caucasian and Asian), a meta-analysis of the effects of MGMT promoter methylation on both progression-free survival (PFS) and overall survival (OS) among GBM patients was conducted. A total of 6,309 patients from 50 studies were involved in the analysis. Random effect models were applied to estimate the pooled hazard ratio (HR) with 95 % confidence intervals (CIs) for GBM patients of different race prognosis, the Chi square-based Q test was used to test heterogeneity. Begg's (funnel plot method) and Egger's linear regression tests were adopted to check publication bias (a bias with regard to what is likely to be published, among what is available to be published). The HR value estimated for OS was 0.524 (95 % CI 0.428-0.640) by univariate analysis and 0.427 (95 % CI 0.355-0.513) by multivariate analysis in Caucasian. The HR value estimated for OS was 0.892 (95 % CI 0.469-1.698) by univariate analysis and 0.562 (95 % CI 0.394-0.804) by multivariate analysis in Asian. The HR value estimated for PFS was 0.526 (95 % CI 0.372-0.743) by univariate analysis and 0.437 (95 % CI 0.356-0.537) by multivariate analysis in Caucasian. The HR value estimated for PFS was 0.132 (95 % CI 0.006-3.027) by multivariate analysis in Asian. This data revealed that GBM patients with MGMT promoter methylation had longer OS and PFS by univariate or multivariate analysis in Caucasian regardless of therapeutic intervention. However, GBM patients with MGMT promoter methylation only had longer OS by multivariate analysis in Asian.