Application Of Bioinformatic Technology In The Etiology Of Brain Tumors

Part I: Application of bioinformatic technology in the etiology of gliomaObjective: To investigate the relationship between ERCC18092C/A polymorphism,hair dyes use, exogenous hormone use and reproductive factors and risk of glioma.Methods: A systematic literature search of PubMed and Embase databases wasperformed for relevant reports that assessed the association between ERCC18092C/Apolymorphism, hair dyes use, exogenous hormone use and reproductive factors and risk ofglioma. We applied STATA11.0software to compute pooled relative risks (RRs) and95%confidence intervals (CIs), generate forest plots, determine whether there was a statisticalassociation, evaluate heterogeneity, perform a sensitivity analysis, and investigatepublication bias.Results: A lower risk of glioma was observed for exogenous hormones (OC: RR=0.71,95%CI=0.60-0.83; HRT: RR=0.68,95%CI=0.58-0.81). An increased glioma riskwas associated with older age at menarche (RR=1.40,95%CI=1.05-1.87). Nosignificant associations were observed for menopause status (RR=0.96,95%CI=0.67-1.37),parous status (RR=0.84,95%CI=0.67-1.04), age at menopause (RR=0.97,95%CI=0.78-1.21), age at first birth (RR=1.15,95%CI=0.88-1.51), alcohol drinking (RR=0.96,95%CI=0.89-1.04) or hair dyes use (RR=1.13,95%CI=0.89-1.45). For ERCC1,individuals with the AA genotype were associated with a higher risk of glioma comparedthose with the CA and CC genotypes (OR=1.23,95%CI=1.01-1.51).Conclusion: OC and HRT use can decrease the risk of glioma. Older age at menarchecan increase the risk of glioma. AA genotype of ERCC1C8092A may be associated with ahigher risk of adult glioma than the CA and CC genotypes. Part II: Application of bioinformatic technology in the etiology ofmeningioma.Objective: To investigate the relationship between body mass index, exogenous hormone use and reproductive factors and risk of meningioma.Methods: A systematic literature search of PubMed and Embase databases wasperformed for relevant reports that assessed the association between body mass index,exogenous hormone use and reproductive factors and risk of meningioma. We appliedSTATA11.0software to compute pooled relative risks (RRs) and95%confidence intervals(CIs), generate forest plots, determine whether there was a statistical association, evaluateheterogeneity, perform a sensitivity analysis, and investigate publication bias.Results: The pooled results showed that an increased risk of meningioma wasassociated with hormonal replacement therapy (HRT) use (RR=1.19,95%CI=1.01-1.40),postmenopausal women (RR=1.32,95%CI=1.07-1.64), parity (RR=1.18,95%CI=1.00–1.40) and obesity (RR=1.45,95%CI=1.26-1.67). No significant associations wereobserved for oral contraceptive (OC) use (RR=0.93,95%CI=0.83-1.03), age atmenarche (RR=1.06,95%CI=0.92-1.21), age at menopause (RR=1.03,95%CI=0.81-1.30), or age at first birth (RR=0.94,95%CI=0.80-1.10) and overweight (RR=1.12,95%CI=0.98-1.28).Conclusion: HRT, parity, postmenopausal women and obesity can increased the riskof meningioma.