| 肺鳞状细胞癌特异性甲基化候选诊断标志物的识别 |
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| 引用本文： | 王学栋,尚文慧,李晓琴,常宇. 肺鳞状细胞癌特异性甲基化候选诊断标志物的识别[J]. 生物化学与生物物理进展, 2019, 46(7): 680-688 |
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| 作者姓名： | 王学栋 尚文慧 李晓琴 常宇 |
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| 作者单位： | 北京工业大学生命科学与生物工程学院，北京 100124,北京工业大学生命科学与生物工程学院，北京 100124,北京工业大学生命科学与生物工程学院，北京 100124,北京工业大学生命科学与生物工程学院，北京 100124 |
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| 基金项目： | 重点研发计划( 2017YFC0111104)、国家自然科学基金(11572014)和智能化生理测量与临床转化北京市国际科技合作基地资助项目. |
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| 摘 要： | 甲基化异常是肿瘤早期的频发事件,DNA甲基化随着时间的推移相对稳定,并且可以在血液中非侵入性地检测到,因此DNA甲基化具有成为癌症早期诊断生物标志物的巨大潜力.为了找到肺鳞状细胞癌(LUSC)潜在的诊断标志物,本文提出了一种LUSC特异性候选诊断标志物的识别方法,使用癌症基因组图谱数据库(TCGA)的LUSC的甲基化数据集,通过比较LUSC与正常肺组织和其他癌症类型,得到了6个LUSC特异性甲基化位点,使用支持向量机建立诊断模型,采用六折交叉划分数据集,验证特异性标志物的有效性. 6个标志物的组合在预测LUSC方面达到约93%～99%的灵敏度,在排除正常组织时达到100%的特异性,在排除其他癌症时达到约99%的特异性.我们的研究为LUSC的早期诊断提供了潜在的生物标志物.
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| 关 键 词： | DNA甲基化 特异性标志物 肺鳞状细胞癌 早期诊断 |
| 收稿时间： | 2019-03-20 |
| 修稿时间： | 2019-05-10 |
Identification of Lung Squamous Cell Carcinoma-Specific Methylation Candidate Diagnostic Biomarkers |
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| WANG Xue-Dong,SHANG Wen-Hui,LI Xiao-Qin and CHANG Yu. Identification of Lung Squamous Cell Carcinoma-Specific Methylation Candidate Diagnostic Biomarkers[J]. Progress In Biochemistry and Biophysics, 2019, 46(7): 680-688 |
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| Authors: | WANG Xue-Dong SHANG Wen-Hui LI Xiao-Qin CHANG Yu |
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| Affiliation: | School of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China,School of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China,School of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China,School of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China |
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| Abstract: | DNA methylation abnormalities are frequent events in early tumors. Additionally, DNA methylation is relatively stable over time and can be non-invasively detected in blood. Therefore, DNA methylation has a great potential to become an early diagnostic biomarker of cancers. In order to find potential diagnostic markers for lung squamous cell carcinoma (LUSC), a method for identifying LUSC-specific candidate diagnostic markers was proposed. We screened 6 LUSC-specific CpGs by comparing the methylation profiles of 172 samples from LUSC patients, 42 normal lung samples, 184 normal blood samples, and 1 306 samples from patients with other cancers which was collected from TCGA (The Cancer GenomeAtlas) database. A supportvector machine model was constructed to distinguish LUSC patients from normal controls. The combination of six sites achieved 93%-99% sensitivity in predicting LUSC, 100% specificity in excluding all normal samples, and ~ 99% specificity in excluding other cancers. Overall, our study provides promising biomarkers for the diagnosis of LUSC. |
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| Keywords: | DNA methylation specific biomarkers lung squamous cell carcinoma early diagnosis |
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