| 基于microRNA表达的肿瘤起源分类 |
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| 引用本文： | Andrew Fesler,刘华,郭诗翔,鞠景芳. 基于microRNA表达的肿瘤起源分类[J]. 临床检验杂志, 2017, 0(11): 801-803 |
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| 作者姓名： | Andrew Fesler 刘华 郭诗翔 鞠景芳 |
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| 作者单位： | Department of Pathology, Stony Brook University, School of Medicine, Stony Brook, New York, 11794,USA,Department of Pathology, Stony Brook University, School of Medicine, Stony Brook, New York, 11794,USA,Department of Pathology, Stony Brook University, School of Medicine, Stony Brook, New York, 11794,USA/陆军军医大学第一附属医院肝胆外科，重庆 400038,Department of Pathology, Stony Brook University, School of Medicine, Stony Brook, New York, 11794,USA |
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| 摘 要： | 摘要： 由于采用标准诊断方法难以识别癌变的原发部位，诊断新发的癌症中约有3%~5%来源于原发部位不明的肿瘤。MicroRNAs（miRNAs）近来被证实能够协助病理学家提高对原发部位不明肿瘤的诊断准确性。本文将着重讨论基于肿瘤诊断的miRNA最新研究进展，及该领域的未来发展方向。
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| 关 键 词： | 微小RNA；诊断；组织来源不明肿瘤 |
| 收稿时间： | 2017-09-30 |
MicroRNA expression based tumor origin classification |
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| Abstract: | |
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| Keywords: | microRNA diagnosis tumor with unknown tissue origin |
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