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本文引用的文献

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Profiling protein expression and interactions: proximity ligation as a tool for personalized medicine.蛋白质表达和相互作用分析:邻近连接作为个体化医疗的工具。
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Applications of tissue microarray technology.组织微阵列技术的应用
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Progression model tissue microarray (TMA) for the study of uterine carcinomas.用于研究子宫癌的进展模型组织微阵列(TMA)。
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Protein microarrays for cancer diagnostics and therapy.蛋白质微阵列在癌症诊断和治疗中的应用。
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Gene expression-based prognostic signatures in lung cancer: ready for clinical use?基于基因表达的肺癌预后标志物:是否准备好用于临床?
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A multicentre phase II gene expression profiling study of putative relationships between tumour biomarkers and clinical response with erlotinib in non-small-cell lung cancer.一项多中心 II 期基因表达谱研究,旨在探讨非小细胞肺癌中肿瘤生物标志物与厄洛替尼临床反应之间的潜在关系。
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Implications of key trials in advanced nonsmall cell lung cancer.晚期非小细胞肺癌关键试验的意义。
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MicroRNA expression differentiates histology and predicts survival of lung cancer.微小 RNA 表达可区分肺癌的组织学并预测其生存率。
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生物芯片在肺癌研究中的应用

[Application of bio-chip in lung cancer research].

作者信息

Zhu Min, Yu Jun, Zhou Wenli, Fu Xiangning

机构信息

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

出版信息

Zhongguo Fei Ai Za Zhi. 2011 May;14(5):441-5. doi: 10.3779/j.issn.1009-3419.2011.05.11.

DOI:10.3779/j.issn.1009-3419.2011.05.11
PMID:21569652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6000325/
Abstract

Lung cancer is a complicated disease involving many genes and important biologic processes. Genetic variation or aberrant expression of some oncogenes, tumor suppressor genes and DNA repair genes might be related to its incidence and development. How to find out the pathogenic factors of lung cancer and its molecular mechanism of multistage carcinogenesis from massive data is a key question that researchers and clinicians must answer. The bio-chip technology provides a high throughput and efficient method for cancer research. The latest bio-chip progress in lung cancer research is summarized in this minireview.

摘要

肺癌是一种涉及众多基因和重要生物学过程的复杂疾病。某些癌基因、肿瘤抑制基因和DNA修复基因的遗传变异或异常表达可能与其发生和发展有关。如何从海量数据中找出肺癌的致病因素及其多阶段致癌的分子机制,是研究人员和临床医生必须回答的关键问题。生物芯片技术为癌症研究提供了一种高通量且高效的方法。本综述总结了肺癌研究中生物芯片的最新进展。