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

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《医学前沿(英文)》 2013年 第7卷 第2期   页码 157-171 doi: 10.1007/s11684-013-0272-4

摘要:

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.

关键词: non-small-cell lung cancer     molecular typing     individualized medicine     molecular-targeted therapy     gene expression profiling    

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

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《医学前沿(英文)》 2012年 第6卷 第4期   页码 366-375 doi: 10.1007/s11684-012-0214-6

摘要:

Surveillance is critical for the prevention and control of infectious disease. China’s real-time web-based infectious disease reporting system is a distinguished achievement. However, many aspects of the current China Infectious Disease Surveillance System do not yet meet the demand for timely outbreak detection and identification of emerging infectious disease. PulseNet, the national molecular typing network for foodborne disease surveillance was first established by the Centers for Disease Control and Prevention of the United States in 1995 and has proven valuable in the early detection of outbreaks and tracing the pathogen source. Since 2001, the China CDC laboratory for bacterial pathogen analysis has been a member of the PulseNet International family; and has been adapting the idea and methodology of PulseNet to develop a model for a future national laboratory-based surveillance system for all bacterial infectious disease. We summarized the development progress for the PulseNet China system and discussed it as a model for the future of China’s national laboratory-based surveillance system.

关键词: infectious disease     laboratory-based infectious disease surveillance     pulse field gel electrophoresis     multilocus sequencing typing     PulseNet China    

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,

《医学前沿(英文)》 2010年 第4卷 第2期   页码 216-219 doi: 10.1007/s11684-010-0037-2

摘要: To acquire data of Brucella cellular fatty acids (CFAs) and probe into the possibility of utilizing CFAs information in typing Brucella, 19 reference strains were subjected to CFAs study. After all strains were inoculated on Brucella Agar plates, the cells were harvested, saponificated, methylated and extracted to provide fatty acid methylesters for gas chromatography (GC) analysis. Based on the CFAs data matrix, a dendrogram of 19 reference strains was generated by SPSS11.5 software package. The results showed that 19 reference strains were divided into five clusters: cluster 1 included (bv. 1, 2, 3, 5) and ; cluster 2 included (bv. 3, 4, 5, 6) and (bv. 1, 2, 3); cluster 3 included (bv. 1, 2, 7, 9) and ; cluster 4 was (bv. 4); and cluster 5 was . Typing Brucella by GC analysis of CFAs is a good method to reflect drug resistance of Brucella, and the classification is beneficial for clinical therapy. It also provides a new result of typing and demonstrates that the traditional classification is not completely reasonable. CFAs analysis may identify (bv. 4) and .

关键词: Brucella     gas chromatography     cellular fatty acids     dendrogram     typing    

标题 作者 时间 类型 操作

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

null

期刊论文

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

null

期刊论文

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,

期刊论文