TAILIEUCHUNG - báo cáo khoa học: "Overexpression of LCMR1 is significantly associated with clinical stage in human NSCLC"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Overexpression of LCMR1 is significantly associated with clinical stage in human NSCLC | Chen et al. Journal of Experimental Clinical Cancer Research 2011 30 18 http content 30 1 18 Journal of Experimental Clinical Cancer Research RESEARCH Open Access Overexpression of LCMR1 is significantly associated with clinical stage in human NSCLC Liangan Chen Zhixin Liang Qing Tian Chunsun Li Xiuqing Ma Yu Zhang Zhen Yang Ping Wang Yanqin Li Abstract Background Lung cancer is one of the most common human cancers and the leading cause of cancer death worldwide. The identification of lung cancer associated genes is essential for lung cancer diagnosis and treatment. Methods Differential Display-PCR technique was used to achieve the novel cDNA which were then verified by real-time PCR. Northern blot was utilized to observe the expression of LCMR1 in different human tissues. 84 cases human NSCLC tissues and normal counterparts were analyzed for the expression of LCMR1 by immunohistochemistry. Results A novel 778-bp cDNA fragment from human large cell lung carcinoma cell lines 95C and 95D was obtained and named LCMR1 Lung Cancer Metastasis Related protein 1 . LCMR1 was differentially expressed in different human tissues. LCMR1 was strongly overexpressed in NSCLC and its expression was significantly associated with clinical stage. Conclusion Our data indicated that LCMR1 strongly overexpressed in NSCLC might have applications in the clinical diagnosis and treatment of lung cancer. Introduction The development of new therapeutics and diagnostics of cancer rely on the understanding of carcinogenesis mechanisms. Genes dysregulated significantly in tumor tissues compared with their normal counterparts are always considered as biomarkers or closely associated with carcinogenesis. Over the past two decades plentiful efforts have been devoted to the identification of genes involved in cancer development 1 . Many approaches have been used to compare gene expression between two different physiological states. Differential Display DD is a useful method to compare .

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