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Molecular classification of non-small-cell lung cancer: diagnosis, individualized treatment, and prognosis

Yue Yu, Jie He

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 157-171 doi: 10.1007/s11684-013-0272-4

Abstract:

Non-small-cell lung cancer (NSCLC) is the most common cause of premature death among the malignant diseases worldwide. The current staging criteria do not fully capture the complexity of this disease. Molecular biology techniques, particularly gene expression microarrays, proteomics, and next-generation sequencing, have recently been developed to facilitate effectively its molecular classification. The underlying etiology, pathogenesis, therapeutics, and prognosis of NSCLC based on an improved molecular classification scheme may promote individualized treatment and improve clinical outcomes. This review focuses on the molecular classification of NSCLC based on gene expression microarray technology reported during the past decade, as well as their applications for improving the diagnosis, staging and treatment of NSCLC, including the discovery of prognostic markers or potential therapeutic targets. We highlight some of the recent studies that may refine the identification of NSCLC subtypes using novel techniques such as epigenetics, proteomics, or deep sequencing.

Keywords： non-small-cell lung cancer     molecular typing     individualized medicine     molecular-targeted therapy     gene expression    

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PulseNet China, a model for future laboratory-based bacterial infectious disease surveillance in China

Wei Li, Shan Lu, Zhigang Cui, Jinghua Cui, Haijian Zhou, Yiqing Wang, Zhujun Shao, Changyun Ye, Biao Kan, Jianguo Xu

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 366-375 doi: 10.1007/s11684-012-0214-6

Abstract: PulseNet, the national molecular typing network for foodborne disease surveillance was first established

Keywords： laboratory-based infectious disease surveillance     pulse field gel electrophoresis     multilocus sequencing typing    

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Analysis of Brucella cellular fatty acids

Zhen-Xiang ZHAO MS, Hai JIANG MD, Bu-Yun CUI MS, Hong-Yan ZHAO, Dong-Ri PIAO MS, Lan-Yu LI, Su-Zhen HAO MS,

Frontiers of Medicine 2010, Volume 4, Issue 2,   Pages 216-219 doi: 10.1007/s11684-010-0037-2

Abstract: Brucella cellular fatty acids (CFAs) and probe into the possibility of utilizing CFAs information in typingTyping Brucella by GC analysis of CFAs is a good method to reflect drug resistance of Brucella, and theIt also provides a new result of typing and demonstrates that the traditional classification is not completely

Keywords： Brucella     gas chromatography     cellular fatty acids     dendrogram     typing    

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Title Author Date Type Operation

Molecular classification of non-small-cell lung cancer: diagnosis, individualized treatment, and prognosis

Yue Yu, Jie He

Journal Article

PulseNet China, a model for future laboratory-based bacterial infectious disease surveillance in China

Wei Li, Shan Lu, Zhigang Cui, Jinghua Cui, Haijian Zhou, Yiqing Wang, Zhujun Shao, Changyun Ye, Biao Kan, Jianguo Xu

Journal Article

Analysis of Brucella cellular fatty acids

Zhen-Xiang ZHAO MS, Hai JIANG MD, Bu-Yun CUI MS, Hong-Yan ZHAO, Dong-Ri PIAO MS, Lan-Yu LI, Su-Zhen HAO MS,

Journal Article