Association between polymorphisms in interleukin-4Rα and interleukin-13 and glioma risk: a meta-analysis

A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk

The immune system plays a critical role in modulating cancer development and progression. Polymorphisms in key genes involved in immune responses are known to affect susceptibility to cancer. Here, we analyzed 35 genes to evaluate the association between variants of genes involved in immune responses and prostate cancer risk. Thirty-five genes were analyzed in 47 patients with prostate cancer and 43 healthy controls using next-generation sequencing. Allelic and genotype frequencies were calculated in both cohorts, and a generalized linear mixed model was applied to test the relationship between prostate cancer risk and nucleotide substitution. Odds ratios were calculated to describe the association between each single nucleotide polymorphism (SNP) and prostate cancer risk. Significant changes in allelic and genotypic distributions were observed for IL4R, IL12RB1, IL12RB2, IL6, TMPRSS2, and ACE2. Furthermore, a generalized linear mixed model identified statistically significant associations between prostate cancer risk and SNPs in IL12RB2, IL13, IL17A, IL4R, MAPT, and TFNRS1B. Finally, a statistically significant association was observed between IL2RA and TNFRSF1B and Gleason scores, and between SLC11A1, TNFRSF1B and PSA values. We identified SNPs in inflammation and two prostate cancer-associated genes. Our results provide new insights into the immunogenetic landscape of prostate cancer and the impact that SNPs on immune genes may have on affecting the susceptibility to prostate cancer.

Epidemiology of Brain Tumors

Incidence, prevalence, and survival for brain tumors varies by histologic type, age at diagnosis, sex, and race/ethnicity. Significant progress has been made in identifying potential risk factors for brain tumors, although more research is warranted. The strongest risk factors that have been identified thus far include allergies/atopic disease, ionizing radiation, and heritable genetic factors. Further analysis of large, multicenter, epidemiologic studies, as well as well annotated omic datasets (including genomic, epigenomic, transcriptomic, proteomic, or metabolomics data) can potentially lead to further understanding of the relationship between gene and environment in the process of brain tumor development.

Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies

BACKGROUND

A number of studies have investigated the roles of excision repair cross complementation group 1 (ERCC1), ERCC2, and ERCC5 genes polymorphisms in the development of glioma; however, the results were inconsistent. Here, we performed a meta-analysis to investigate the association between 6 polymorphisms in the ERCC genes (rs3212986, rs11615, rs13181, rs1799793, rs238406, rs17655) and glioma risk.

METHODS

The PubMed, Embase, and Web of science were searched up to September 6, 2016, for studies on the association between ERCC polymorphisms and glioma risk. A fixed-effects or random-effects model was used to calculate the pooled odds ratios based on the results from the heterogeneity tests. Sensitivity and cumulative meta-analyses were also performed.

RESULTS

A total of 15 studies were eligible for the pooled analysis, conducted in 2 populations of ethnic descent: 8 Europeans and 7 Asians. The results showed that ERCC1 rs3212986 polymorphism was positively associated with glioma [AA vs CC: odds ratio (OR) = 1.298, 95% confidence interval (95% CI) = 1.043-1.230, P = .025]. Association of the ERCC2 rs13181 and rs1799793 polymorphisms was only observed in Asians (CC vs AA for rs13181: OR = 1.539, 95% CI = 1.122-2.109, P = .007; AA vs GG for rs1799793: OR = 1.474, 95% CI = 1.090-1.994, P = .012). However, no association was observed between glioma risk and ERCC1 rs11615, ERCC2 rs238406, and ERCC5 rs17655 polymorphisms. Moreover, sensitivity and cumulative meta-analyses confirmed the stability of the results.

CONCLUSIONS

Our meta-analysis indicated that the ERCC1 rs3212986 polymorphism and 2 polymorphisms in ERCC2 gene (rs13181 and rs1799793) contributed to the susceptibility of glioma.

Descriptive epidemiology and risk factors of primary central nervous system tumors: Current knowledge

Although comparisons are difficult due to differences in methodologies, the annual incidence rates of central nervous system (CNS) tumors range from 8.5 to 21.4/100,000 population according to cancer registries, with a predominance of neuroepithelial tumors in men and meningiomas in women. An increase in the incidence of CNS tumors has been observed during the past decades in several countries. It has been suggested that this trend could be due to aging of the population, and improvements in diagnostic imaging and healthcare access, but these factors do not explain differences in incidence by gender and histological subtypes. Several etiological hypotheses related to intrinsic (sociodemographic, anthropometric, hormonal, immunological, genetic) and exogenous (ionizing radiation, electromagnetic fields, diet, infections, pesticides, drugs) risk factors have led to analytical epidemiological studies to establish relationships with CNS tumors. The only established environmental risk factor for CNS tumors is ionizing radiation exposure. However, for other risk factors, studies have been inconsistent and inconclusive due to systematic differences in study design and difficulties in accurately measuring exposures. Thus, the etiology of CNS tumors is complex and may involve several genetic and/or environmental factors that may act differently according to histological subtype.

Commentary: IL-4 and IL-13 receptors and signaling

Interleukin (IL)-4 and IL-13 were discovered approximately 30years ago and were immediately linked to allergy and atopic diseases. Since then, new roles for IL-4 and IL-13 and their receptors in normal gestation, fetal development and neurological function and in the pathogenesis of cancer and fibrosis have been appreciated. Studying IL-4/-13 and their receptors has revealed important clues about cytokine biology and led to the development of numerous experimental therapeutics. Here we aim to highlight new discoveries and consolidate concepts in the field of IL-4 and IL-13 structure, receptor regulation, signaling and experimental therapeutics.

Association between polymorphism of the interleukin-13 gene and susceptibility to hepatocellular carcinoma in the Chinese population

Objective

Interleukin-13 (IL-13) is a potent pleiotropic cytokine that is produced by activated CD4 T cells. This study was undertaken to determine the relationship between two IL-13 gene single nucleotide polymorphisms (SNP rs1800925 and SNP rs20541) and the incidence of hepatitis B virus-related (HBV) hepatocellular carcinoma (HCC).

Method

Three hundred and ninety-eight HBV-positive individuals (192 HCC and 206 patients with chronic hepatitis) and one hundred and ninety-two healthy participants from the First Affiliated Hospital of Guangxi Medical University were enrolled in this study.

Results

The results showed no significant differences between the genotype and allele frequencies of the IL-13 gene rs1800925 and rs20541 polymorphisms and chronic hepatitis B risk after adjusting for age, sex, tobacco use, and alcohol intake using binary logistic regression analyses. Regarding the rs20541 SNP, the GA genotype was significantly related to a decreased risk of HCC after adjusting for age, sex, tobacco use, and alcohol intake using binary logistic regression analyses (The odds ratio (OR) = 0.54, 95% confidence intervals (CI) 0.34–0.87). The adjusted OR for the GA and AA genotypes combined was 0.68 (95% CI 0.39–0.90).

Conclusion

This study indicates that the functional IL-13 rs20541 polymorphism may contribute to the risk of HCC and that the rs20541 polymorphism is a protective factor for HCC.

The epidemiology of glioma in adults: a "state of the science" review

Gliomas are the most common primary intracranial tumor, representing 81% of malignant brain tumors. Although relatively rare, they cause significant mortality and morbidity. Glioblastoma, the most common glioma histology (∼45% of all gliomas), has a 5-year relative survival of ∼5%. A small portion of these tumors are caused by Mendelian disorders, including neurofibromatosis, tuberous sclerosis, and Li-Fraumeni syndrome. Genomic analyses of glioma have also produced new evidence about risk and prognosis. Recently discovered biomarkers that indicate improved survival include O⁶-methylguanine-DNA methyltransferase methylation, isocitrate dehydrogenase mutation, and a glioma cytosine-phosphate-guanine island methylator phenotype. Genome-wide association studies have identified heritable risk alleles within 7 genes that are associated with increased risk of glioma. Many risk factors have been examined as potential contributors to glioma risk. Most significantly, these include an increase in risk by exposure to ionizing radiation and a decrease in risk by history of allergies or atopic disease(s). The potential influence of occupational exposures and cellular phones has also been examined, with inconclusive results. We provide a “state of the science” review of current research into causes and risk factors for gliomas in adults.

Association of single-nucleotide polymorphisms in ERCC1 and ERCC2 with glioma risk

We conducted a case-control study to assess the role of three single-nucleotide polymorphisms (SNPs) in excision repair cross-complementation group 1 (ERCC1) and two SNPs in excision repair cross-complementation group 2 (ERCC2) on the glioma risk in a Chinese population, and investigate the gene-environmental interaction for the cancer risk. A 1:2 matched case-control study was conducted. Logistic regression analysis revealed that individuals carrying ERCC1 rs2298881 CC genotype were associated with risk of glioma when compared with AA genotype carriers. The significant associations of ERCC1 rs2298881 polymorphism with glioma susceptibility were observed in both the dominant and the recessive models. In a stratification analysis, we found that ERCC1 rs2298881 variants showed an increased association with the risk of glioma in males, ever smokers, and high-grade glioma cases. In conclusion, our study suggests that ERCC1 rs2298881 polymorphism is associated with risk of glioma in codominant, dominant, and recessive models, especially in males, smokers, and high-grade glioma cases. This finding could be useful in revealing the genetic characteristics of glioma and suggests more effective strategies for prevention and treatment.

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.

Genetic association between selected cytokine genes and glioblastoma in the Han Chinese population

Background

Glioblastoma (GBM) is the most malignant brain tumor. Many abnormal secretion and expression of cytokines have been found in GBM, initially speculated that the occurrence of GBM may be involved in these abnormal secretion of cytokines. This study aims to detect the association of cytokine genes with GBM.

Methods

We selected seven tag single nucleotide polymorphisms (tSNPs) in six cytokine genes, which previously reported to be associated with brain tumors, and analyzed their association with GBM in a Han Chinese population using χ² test and genetic model analysis.

Results

We found two risk tSNPs and one protective tSNP. By χ² test, the rs1801275 in IL-4R showed an increased risk of GBM. In the genetic model analysis, the genotype “TC” of rs20541 in IL-13 gene showed an increased risk of GBM in over-dominant model (OR = 2.00; 95% CI, 1.13-3.54, p = 0.015); the genotype “CT” of rs1800871 in the IL-10 gene showed a decrease risk in the over-dominant model (OR = 0.57; 95% CI, 0.33 – 0.97; p = 0.037). The genotype “AG” of rs1801275 in the IL-4R gene showed an increase risk in over-dominant model (OR = 2.29; 95% CI, 1.20 - 4.35; p = 0.0081) We further analyzed whether the six cytokine genes have a different effect on the disease in gender specific population, and found that the allele “G” of rs2243248 in the IL-4 gene showed a decrease risk of GBM in female (OR = 0.35, 95% CI, 0.13 - 0.94, p = 0.0032), but the allele “T” showed a decrease risk in male (OR = 0.30, 95% CI, 0.17 - 0.53, p = 0.0032).

Conclusions

Our findings, combined with previously reported results, suggest that cytokine genes have potential role in GBM development, which may be useful to early prognostics for GBM in the Han Chinese population.