Ioannidis John P A, Polyzos Nikolaos P, Trikalinos Thomas A
Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Eur J Cancer. 2007 Sep;43(13):1999-2010. doi: 10.1016/j.ejca.2007.05.019. Epub 2007 Jul 12.
We examined the interpretation of research findings and public availability of transparent information on data and processing for 46 articles of microarray studies that had addressed major cancer outcomes. Unsupervised and supervised methods selected molecular signatures with a median of 675 and 50 genes, respectively, but only a median of eight genes or groups thereof were further discussed. Across 479 genes or groups thereof discussed in all 46 studies, 65% reflected specific comments (reflecting external relevant data from other studies or other lines of reasoning relevant to the gene of interest), and 59% of the comments were referenced. Among specific comments, supportive ones outnumbered comments against the research findings by nine to one (270 versus 29). Discussion was similarly selective in early studies and in studies published in 2006. Even in 2006 only 10 of 15 studies had publicly deposited data. Only three studies had scanned images, raw and processed data available. Processing details varied. Public transparency and unbiased interpretation of findings can be improved in microarray research.
我们检查了46篇涉及主要癌症结局的微阵列研究文章的研究结果解读以及数据和处理过程透明信息的公开可得性。无监督和有监督方法分别选择了中位数为675个和50个基因的分子特征,但进一步讨论的中位数仅为8个基因或基因组。在所有46项研究中讨论的479个基因或基因组中,65%反映了具体评论(反映来自其他研究的外部相关数据或与感兴趣基因相关的其他推理思路),且59%的评论有参考文献。在具体评论中,支持研究结果的评论与反对研究结果的评论数量之比为9比1(270条对29条)。早期研究和2006年发表的研究中的讨论同样具有选择性。即使在2006年,15项研究中也只有10项公开存放了数据。只有三项研究提供了扫描图像、原始数据和处理后的数据。处理细节各不相同。微阵列研究中的公共透明度和对研究结果的无偏解读有待提高。