[1]王威,冯晓蕾,段晓冉,等.基于3种基因启动子甲基化联合端粒长度构建肺癌诊断支持向量机模型[J].郑州大学学报(医学版),2015,(04):462-465.
 WANG Wei,FENG Xiaolei,DUAN Xiaoran,et al.Establishment of support vector machine model of lung cancer screening based on three gene promoter methylation combined with relative telomere length[J].JOURNAL OF ZHENGZHOU UNIVERSITY(MEDICAL SCIENCES),2015,(04):462-465.
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基于3种基因启动子甲基化联合端粒长度构建肺癌诊断支持向量机模型()
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《郑州大学学报(医学版)》[ISSN:1671-6825/CN:41-1340/R]

卷:
期数:
2015年04期
页码:
462-465
栏目:
论著
出版日期:
2015-07-20

文章信息/Info

Title:
Establishment of support vector machine model of lung cancer screening based on three gene promoter methylation combined with relative telomere length
作者:
王威冯晓蕾段晓冉王团伟谭善娟吴逸明吴拥军#
郑州大学公共卫生学院劳动卫生与卫生毒理学教研室 郑州 450001
Author(s):
WANG Wei FENG Xiaolei DUAN Xiaoran WANG Tuanwei TAN Shanjuan WU Yiming WU Yongjun
Department of Labour Hygiene and Hygienic Toxicology, College of Public Health, Zhengzhou University, Zhengzhou 450001
关键词:
脆性组氨酸三联体基因RASSF1Ap16DNA甲基化端粒肺癌支持向量机
Keywords:
fragile histidine traid geneRASSF1Ap16DNA methylationtelomerelung cancersupport vector machine
分类号:
R734.2
文献标志码:
A
摘要:
目的:探讨基于外周血白细胞DNA FHIT、RASSF1A和p16基因启动子甲基化水平以及DNA端粒长度等4项生物标志建立的支持向量机模型在肺癌诊断中的意义。方法:通过实时定量甲基化特异性PCR法,测定200例正常人(对照组)和200例肺癌患者外周血白细胞DNA中FHIT、RASSF1A和p16基因启动子甲基化水平,实时荧光定量PCR方法测定外周血DNA相对端粒长度,基于上述4种生物标志构建肺癌诊断支持向量机模型。结果:肺癌组和对照组中FHIT、RASSF1A和p16基因启动子甲基化水平分别为3.33(1.86~6.40)和2.85(1.39~5.44),27.62(9.09~52.86)和17.17(3.86~50.87),0.59(0.16~4.50)和0.36(0.06~4.00),端粒长度分别为(0.93±0.32) kb和(1.16±0.57) kb,两组间差异有统计学意义(Z=3.044、2.075、2.641和4.972,P均<0.05)。基于上述4项生物标志建立的判别分析和支持向量机模型对预测集的ROC曲线下面积及95%CI分别为0.670(0.569~0.761)和0.810(0.719~0.882)。结论:成功构建基于p16、RASSF1A、FHIT基因启动子甲基化和端粒长度的肺癌诊断支持向量机模型。
Abstract:
Aim: To explore significance of support vector machine(SVM) model for diagnosis of lung cancer by detections of fragile histidine traid(FHIT),RASSF1A and p16 gene promoter methylation status and relative telomere length of DNA in white blood cells(WBCs) from peripheral blood. Methods: The status of p16,RASSF1A and FHIT gene promoter methylation and relative telomere length of DNA in WBCs from peripheral blood of 200 healthy individuals(control group) and 200 patients with lung cancer were measured by SYBR greenbased quantitative methylationspecific PCR and quantitative PCR, respectively.Then SVM model based on the above 4 biomarkers was developed. Results: The status of FHIT, RASSF1A and p16 gene promoter methylation was 3.33(1.86-6.40) and 2.85(1.39-5.44),27.62(9.09-52.86) and 17.17(3.86-50.87),0.59(0.16-4.50) and 0.36(0.06-4.00) in lung cancer group and control group, and relative telomere length was (0.93±0.32) kb and (1.16±0.57) kb. There were significant differences in the 4 biomarkers(Z=3.044,2.075,2.641, and 4.972,P<0.05).Areas of discrimination analysis and SVM model based on the 4 biomarkers under receiver operating curve and the 95%CI were 0.670(0.569-0.761) and 0.810(0.719-0.882), respectively.Conclusion: The SVM model for lung cancer diagnosis based on the 4 biomarkers as p16, RASSF1A, FHIT promoter methylation and relative telomere length has been successfully established.

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更新日期/Last Update: 1900-01-01