癌症中微阵列数据的解读
Interpretation of microarray data in cancer.
作者信息
Michiels S, Koscielny S, Hill C
机构信息
Department of Clinical and Translational Research, Biostatistics and Epidemiology Unit, Institut Gustave Roussy, Villejuif, France.
出版信息
Br J Cancer. 2007 Apr 23;96(8):1155-8. doi: 10.1038/sj.bjc.6603673. Epub 2007 Mar 6.
Abstract
Microarray studies aim at identifying homogeneous subtypes of cancer patients, searching for differentially expressed genes in tumours with different characteristics, or predicting the prognosis of patients. Using breast cancer as an example, we discuss the hypotheses underlying these studies, their power, and the validity and the clinical usefulness of the findings.
摘要
微阵列研究旨在识别癌症患者的同质亚型，寻找具有不同特征的肿瘤中差异表达的基因，或预测患者的预后。以乳腺癌为例，我们讨论这些研究背后的假设、其效力以及研究结果的有效性和临床实用性。
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