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基于代谢组学的头颈癌生物标志物研究进展
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科技导报 |综述文章 2014 , 32 (21) : 66 -71
基于代谢组学的头颈癌生物标志物研究进展
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张小涛1,2, 侯宏卫2, 刘勇1, 王安1, 胡清源1,2
作者信息
    1. 中国科学院合肥物质科学研究院; 中国科学院安徽光学精密机械研究所, 合肥230031;
    2. 国家烟草质量监督检验中心, 郑州450001
通讯作者:
胡清源(通信作者),研究员,研究方向为吸烟与健康及生物标志物,电子信箱:huqy1965@163.com
作者简介:
张小涛,博士研究生,研究方向为吸烟与健康及生物标志物,电子信箱:zhangxiaotao9209@163.com
Biomarkers of Head and Neck Cancers for Metabolomics
  • ZHANG Xiaotao1,2, HOU Hongwei2, LIU Yong1, WANG An1, HU Qingyuan1,2
  • Affiliations
      1. Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;
      2. China National Tobacco Quality Supervision & Test Centre, Zhengzhou 450001, China
    出版时间: 2014-07-28 doi: 10.3981/j.issn.1000-7857.2014.21.011
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    头颈癌被列为世界上第六大癌症,头颈癌的主要诱因是人类乳头瘤病毒、酒精和烟草。由于缺乏早期检测和风险评估的生物标记物,超过50%的头颈癌患者往往在晚期阶段才能确诊,5年期幸存率低于50%。基于代谢组学技术的高通量分析方法具有发现肿瘤相关标志物的潜能,综述了代谢组学技术在头颈癌生物标志物发现中的应用进展和存在的问题,展望了进一步研究的主要方向。
    代谢组学  /  头颈癌  /  生物标志物
    The head and neck cancers are the sixth most common cause of cancer deaths. The head and neck squamous cell carcinomas (HNSCCs) are caused by the tobacco and alcohol consumption and by the infection of high-risk types of human papillomavirus. Due to the lack of biomarkers for early detection and risk assessment, more than 50% of head and neck cancer patients are often diagnosed at a late stage, and the five-year survivor rate is lower than 50%. The high-throughput analysis method based on the metabolomics technology has the potential to come up with tumor-associated biomarkers. This paper reviews the progress and challenges of the metabolomics technology in its way into the biomarker discovery of the head and neck cancer, and the future development is also discussed.
    metabolomics  /  head and neck cancer  /  biomarkers
    张小涛, 侯宏卫, 刘勇, 王安, 胡清源. 基于代谢组学的头颈癌生物标志物研究进展. 科技导报, 2014 , 32 (21) : 66 -71 . DOI: 10.3981/j.issn.1000-7857.2014.21.011
    ZHANG Xiaotao, HOU Hongwei, LIU Yong, WANG An, HU Qingyuan. Biomarkers of Head and Neck Cancers for Metabolomics[J]. Science & Technology Review, 2014 , 32 (21) : 66 -71 . DOI: 10.3981/j.issn.1000-7857.2014.21.011

      国家自然科学基金项目(21277174)

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    doi: 10.3981/j.issn.1000-7857.2014.21.011
    • 接收时间:2014-04-01
    • 首发时间:2014-08-01
    • 出版时间:2014-07-28
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    • 收稿日期:2014-04-01
    • 修回日期:2014-04-30
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    胡清源(通信作者),研究员,研究方向为吸烟与健康及生物标志物,电子信箱:huqy1965@163.com
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    Percentage of
    total species (%)

    Genus
    种数
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    占总种数比例
    Percentage of total
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    鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
    多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
    红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
    小菇属 Mycena 11 5.26
    光柄菇属 Pluteus 5 2.39
    红菇属 Russula 17 8.13
    栓菌属 Trametes 5 2.39
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