【摘要】：第一部分生物信息學(xué)技術(shù)在腦膠質(zhì)瘤病因?qū)W中的應(yīng)用 目的探討飲酒、染發(fā)、ERCC1C8092A多態(tài)性、外源性的雌孕激素的使用、生殖因素與膠質(zhì)瘤發(fā)病風(fēng)險關(guān)系。 方法提取PubMed和Embase數(shù)據(jù)庫中有關(guān)飲酒、染發(fā)、ERCC1C8092A多態(tài)性、外源性的雌孕激素的使用、生殖因素與膠質(zhì)瘤發(fā)病風(fēng)險的數(shù)據(jù)，篩選出符合納入標(biāo)準(zhǔn)的研究。應(yīng)用Meta分析技術(shù)和Stata11.0軟件對所提取的數(shù)據(jù)進(jìn)行合并分析、異質(zhì)性分析、亞組分析、敏感性分析、發(fā)表偏移檢測。 結(jié)果共38個研究納入此次分析。Meta分析結(jié)果顯示使用口服避孕藥(RR=0.71,95%CI=0.60-0.83)及絕經(jīng)期雌孕激素替代治療(RR=0.68,95%CI=0.58-0.81)能降低膠質(zhì)瘤發(fā)病風(fēng)險；ERCC1C8092A的AA基因型(OR=1.23,95%CI=1.01-1.51)及月經(jīng)初潮的年齡(RR=1.40,95%CI=1.05-1.87)能增加膠質(zhì)瘤發(fā)病風(fēng)險；月經(jīng)狀態(tài)(RR=0.96,95%CI=0.67-1.37)、生育狀態(tài)(RR=0.84,95%CI=0.67-1.04)、絕經(jīng)的年齡(RR=0.97,95%CI=0.78-1.21)、第一次生育的年齡(RR=1.15,95%CI=0.88-1.51)、飲酒(RR=0.96,95%CI=0.89-1.04)及染發(fā)(RR=1.13,95%CI=0.89-1.45)與膠質(zhì)瘤發(fā)病風(fēng)險無顯著相關(guān)性。 結(jié)論ERCC1C8092A多態(tài)性能增加膠質(zhì)瘤的發(fā)病風(fēng)險�？诜茉兴�，雌孕激素替代治療可降低膠質(zhì)瘤發(fā)病風(fēng)險。與月經(jīng)初潮年齡小的女性相比，月經(jīng)初潮年齡大的女性具有更高膠質(zhì)瘤發(fā)病風(fēng)險。 第二部分生物信息學(xué)技術(shù)在腦膜瘤病因?qū)W中的應(yīng)用 目的探討體重指數(shù)、外源性的雌孕激素的使用、生殖因素與腦膜瘤發(fā)病風(fēng)險關(guān)系。 方法提取PubMed和Embase數(shù)據(jù)庫中有關(guān)體重指數(shù)、外源性的雌孕激素的使用、生殖因素與腦膜瘤發(fā)病風(fēng)險的數(shù)據(jù)，，篩選出符合納入標(biāo)準(zhǔn)的研究。應(yīng)用Meta分析技術(shù)和Stata11.0軟件對所提取的數(shù)據(jù)進(jìn)行合并分析、異質(zhì)性分析、亞組分析、敏感性分析、發(fā)表偏移檢測。 結(jié)果共20個研究納入此次分析。Meta分析結(jié)果顯示絕經(jīng)期雌孕激素替代治療(RR=1.19,95%CI=1.01-1.40)、絕經(jīng)(RR=1.32,95%CI=1.07-1.64)、生育次數(shù)(RR=1.18,95%CI=1.00-1.40)、肥胖(RR=1.45,95%CI=1.26-1.67)能增加腦膜瘤的發(fā)病風(fēng)險；口服避孕藥(RR=0.93,95%CI=0.83-1.03)、月經(jīng)初潮的年齡(RR=1.06,95%CI=0.92-1.21)、絕經(jīng)的年齡(RR=1.03,95%CI=0.81-1.30)、第一次生育的年齡(RR=0.94,95%CI=0.80-1.10)及超重(RR=1.12,95%CI=0.98-1.28)與腦膜瘤發(fā)病風(fēng)險無顯著相關(guān)性。 結(jié)論雌孕激素替代治療、絕經(jīng)、生育次數(shù)、肥胖能增加腦膜瘤發(fā)病風(fēng)險。
[Abstract]:Part 1 Application of bioinformatics in the etiology of glioma objective to investigate the relationship between drinking, hair staining, ERCC1C8092A polymorphism, the use of exogenous estrogen and progesterone, reproductive factors and the risk of glioma. Methods the data of drinking, hair staining, ERCC1C8092A polymorphism, the use of exogenous estrogen and progesterone, reproductive factors and the risk of glioma were extracted from PubMed and Embase databases, and the studies that met the inclusion criteria were screened out. Meta analysis technique and Stata11.0 software were used to analyze the extracted data, heterogeneity analysis, subgroup analysis, sensitivity analysis and published migration detection. Results A total of 38 studies were included in the analysis. Meta-analysis showed that oral contraceptive (RR=0.71,95%CI=0.60-0.83) and menopausal estrogen replacement therapy (RR=0.68,95%CI=0.58-0.81) could reduce the risk of glioma, and the AA genotype (OR=1.23,95%CI=1.01-1.51) of ERCC1C8092A and the age of menarche (RR=1.40,95%CI=1.05-1.87) could increase the risk of glioma. Menstrual status (RR=0.96,95%CI=0.67-1.37), fertility status (RR=0.84,95%CI=0.67-1.04), age of menopause (RR=0.97,95%CI=0.78-1.21), age of first birth (RR=1.15,95%CI=0.88-1.51), drinking (RR=0.96,95%CI=0.89-1.04) and hair dye (RR=1.13,95%CI=0.89-1.45) were not significantly correlated with the risk of glioma. Conclusion the polymorphism of ERCC1C8092A increases the risk of glioma. Oral contraceptive and estrogen and progesterone replacement therapy can reduce the risk of glioma. Women with older menarche have a higher risk of glioma than women with younger menarche. Part II Application of bioinformatics in meningioma objective to investigate the relationship between body mass index (BMI), the use of exogenous estrogen and progesterone, reproductive factors and the risk of meningioma. Methods the data of body mass index (BMI), the use of exogenous estrogen and progesterone, reproductive factors and the risk of meningioma were extracted from PubMed and Embase databases, and the studies that met the inclusion criteria were screened out. Meta analysis technique and Stata11.0 software were used to analyze the extracted data, heterogeneity analysis, subgroup analysis, sensitivity analysis and published migration detection. Results A total of 20 studies were included in the analysis. Meta-analysis showed that estrogen replacement therapy (RR=1.19,95%CI=1.01-1.40), menopause (RR=1.32,95%CI=1.07-1.64), fertility frequency (RR=1.18,95%CI=1.00-1.40) and obesity (RR=1.45,95%CI=1.26-1.67) increased the risk of meningioma. Oral contraceptive (RR=0.93,95%CI=0.83-1.03), menarche age (RR=1.06,95%CI=0.92-1.21), menopausal age (RR=1.03,95%CI=0.81-1.30), age of first birth (RR=0.94,95%CI=0.80-1.10) and overweight (RR=1.12,95%CI=0.98-1.28) were not significantly correlated with the risk of meningioma. Conclusion estrogen and progesterone replacement therapy, menopausal, fertility and obesity can increase the risk of meningioma.
【學(xué)位授予單位】：蘇州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：R739.41

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