| 引用本文: | 孙美涛,自加吉,杨勇琴,严长宝,戴莉萍,余敏,熊伟.数据挖掘技术分析hMTERF1在胃癌中的表达及预后作用[J].生物信息学,2017,15(4):221-228. |
| SUN Meitao,ZI Jiaji,YANG Yongqin,YAN Changbao,DAI Liping,YU Min,XIONG Wei.Analysis of the prognostic roles of hMTERF1 in gastric cancer based on data mining[J].Chinese Journal of Bioinformatics,2017,15(4):221-228. |
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| 数据挖掘技术分析hMTERF1在胃癌中的表达及预后作用 |
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孙美涛1,自加吉1,杨勇琴1,严长宝2,戴莉萍2,余敏3,熊伟1
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(1. 大理大学 基础医学院,云南 大理 671000;2. 大理州人民医院 病理科,云南 大理 671000;3. 云南大学 生命科学学院,昆明 530061)
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| 摘要: |
| 为了探讨人线粒体转录终止因子1(human mitochondrial transcription termination factor 1,hMTERF1)在胃癌中的表达及预后意义,利用BioGPS数据库分析hMTERF1在正常组织中的表达；利用Oncomine数据库检索关于hMTERF1基因的信息,并对hMTERF1基因在胃癌中的表达进行荟萃分析；利用Kaplan-Meier Plotter数据库分析hMTERF1表达对不同Lauren分型胃癌患者生存时间的影响。BioGPS数据库显示,hMTERF1在人体正常组织中均有表达,其中在心肌组织、子宫体和骨骼肌组织中含量较高。Oncomine数据库中共收集了946个不同类型的hMTERF1研究结果,其中关于hMTERF1表达有统计学差异的研究结果有152个,hMTERF1表达增高的研究有59个,表达降低的研究有93个。共有20项研究涉及hMTERF1在胃癌组织中和正常组织中的表达,包括798例临床样本,与对照组相比,hMTERF1在胃癌中高表达,且差异具有统计学意义(P=0.003)。进一步利用Kaplan-Meier Plotter数据库分析hMTERF1表达对不同Lauren分型胃癌患者生存时间的影响发现,与hMTERF1高表达组相比,hMTERF1低表达组胃癌患者的累积生存时间增高(P=0.045)。在肠型胃癌患者中,hMTERF1高表达胃癌患者的生存时间增高(P=0.028)。而在弥漫型胃癌患者中,hMTERF1低表达胃癌患者的生存时间增高(P=0.024)。在混合型胃癌患者中,hMTERF1高表达患者与低表达患者生存时间的差异无统计学意义(P=0.310)。研究表明,大样本数据挖掘能迅速准确地获取胃癌组织中hMTERF1表达的相关信息,为深入研究hMTERF1在胃癌发生发展中的作用奠定基础。 |
| 关键词: hMTERF1 胃癌 数据挖掘 Oncomine数据库 预后 |
| DOI：10.3969/j.issn.1672-5565.201705009 |
| 分类号:R735.2; Q811.4 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(8,5, 31760331); 云南省教育厅科学研究基金项目(2016ZDX1,6ZDX05)；云南省中青年学术和技术带头人后备人才项目(2017HB077)； 大理大学大学生创新创业计划项目(X-CXCY-2016-13). |
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| Analysis of the prognostic roles of hMTERF1 in gastric cancer based on data mining |
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SUN Meitao1, ZI Jiaji1, YANG Yongqin1, YAN Changbao2, DAI Liping2, YU Min3, XIONG Wei1
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(1. College of Basic Medical Sciences, Dali University, Dali 671000, Yunnan,China; 2. Department of Pathology, Dali Bai Autonous Prefecture Peoples Hospital, Dali 671000, Yunnan,China; 3. College of Life Sciences, Yunnan University, Kunming 530061, China)
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| Abstract: |
| To illustrate the prognostic roles of human mitochondrial transcription termination factor 1 (hMTERF1) expression in gastric cancer based on data mining. Using BioGPS database analyzed hMTERF1 expression in normal tissues. Using Oncomine database analyzed the expression of hMTERF1 in gastric cancer. Using Kaplan-Meier Plotter database analyzed the prognostic roles of hMTERF1 in gastric cancer patients. The BioGPS database shows hMTERF1 expression in all the human normal tissues, and hMTERF1 expression in cardiac myocytes, uterus corpus and skeletal muscle were higher than other tissues. Totally, 946 studies of different types relevant to the expression of hMTERF1 were identified in the Oncomine database. The hMTERF1 expression was statistically significant in 152 studies, overexpressed in 59 studies and underexpressed in the other 93 studies. A total of 20 studies were involved hMTERF1 in gastric cancer tissues and normal tissues, including 798 samples.Overall, hMTERF1 expression in gastric cancer is higher than that in normal tissues.Using Kaplan Meier-Plotter database to analyze the prognostic roles of hMTERF1 in gastric cancer patients, the results showed that low expression of hMTERF1 could improve the overall survival time of the patients with gastric cancer(P=0.045). High hMTERF1 expression could improve the survival time of the patients with intestinal gastric cancer(P=0.028). Low hMTERF1 expression could improve the survival time of the patients with diffused gastric cancer(P=0.024). No significant changes were found in the survival time of the patients with mixed gastric cancer (P=0.310). The information of hMTERF1 expression in gastric cancer was quickly extracted by using data mining. |
| Key words: Human MTERF1 Gastric cancer Data mining Oncomine database Prognosis |
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