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【商业翻译】Decoding Gene Expression In Cancer Tumors U

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Decoding Gene Expression In Cancer Tumors Using Noninvasive Imaging
Main Category: Cancer / Oncology News
Article Date: 26 May 2007 - 13:00 PDT
运用无创性成像解码肿瘤的基因表达
By correlating images of cancerous liver tissue with gene expression patterns, a research team led by a radiologist at the University of California, San Diego (UCSD) School of Medicine has developed tools that may some day allow physicians to view a CT image of a cancer tumor and discern its genetic activity. The study, designed to help doctors obtain the molecular details of a specific tumor or disease without having to do an invasive biopsy procedure, are published online in Nature Biotechnology.
加利福尼亚州大学圣地亚哥医学院(UCSD)一位放射学家带领的研究队伍已经研制出一系列的工具,通过比较癌性肝组织成像与基因表达模式,这些工具可能在将来的某天里,让医生们能够观察肿瘤的CT成像并观察其基因活性。该研究发表于Nature Biotechnology的在线版,让医生们在无需侵入性活检的前提下,获得某一肿瘤或疾病的分子信息。
According to principle investigator Michael Kuo, M.D., assistant professor of interventional radiology at UCSD, the study represents the convergence of two developing fields of medical research: the mapping of the human genome and advances in diagnostic imaging.按照UCSD介入放射学助理教授、该研究的第一作者Michael Kuo医学博士所说,该研究代表了医学研究中正在蓬勃发展的两个领域的汇合:人类基因组定位和诊断性成像。
The research team, which included investigators from Stanford University School of Medicine, systematically compared features from CT images of liver tumors with gene expression patterns obtained from surgery and tissue biopsies. Once they pinpointed the genomic correlates of the features detected by CT imaging, the researchers found that the two very different aspects of studying cancer - how the tumor looks in a CT scan and how it behaves on a molecular level - had a very strong connection.
该研究队伍包括了斯坦福大学医学院的研究人员,他们系统地比较了从外科手术和组织活检中得到的肝肿瘤CT成像与其基因表达模式。研究人员查明了CT成像特征与基因组的关系,发现肿瘤研究中这两个不同的领域(肿瘤的CT成像与肿瘤的分子行为)有着紧密的关系。
"We studied what the various genes were doing and the biological activity they were involved in such as angiogenesis or cell growth. We also looked at how the genes contributed to a particular phenotype in the liver tumor seen on the CT scans, for example, the presence of characteristics vessels, or the tumor's texture and other important diagnostic imaging traits," said Kuo.
Kuo说:“我们研究了多个基因的活性,而且探讨了它们的生物学作用,如血管生成或者细胞生长中的作用。我们也观察了在肝肿瘤的CT扫描中,其基因是如何产生特定表型的,如特征性血管的出现、或者肿瘤纹理和其它重要诊断影像特征。”
The research process sought to reveal the relationship between genetic activity patterns in liver tumors and the tumor's appearance on CT scans, and provide a simple means of translation. The scientists initially began with approximately 135 basic tumor descriptors, and then narrowed down the multitude of traits to the 28 most important diagnostic descriptors, matching those imaging features with a vast stockpile of microarray data generated from human liver cancer samples.
该研究致力于揭示肝肿瘤基因活性模式与肿瘤CT扫描成像的关系,提供了一个简单的“翻译”方法。最初,科学家门用了135个基本的肿瘤描述符,接着他们将数目缩小到28个最重要的诊断性描述符,将这些成像特征与人肝癌样品的大量芯片数据进行匹配。
"We found a rich association between the images and the gene expression," Kuo said, adding that out of approximately 7,000 genes in the tumors, the research team was able to consistently associate imaging traits with 75 percent of the genes.
“我们发现成像与基因表达间有着高度联系,”Kuo说,他补充到,在肿瘤发生的大约7000基因中,该研究队伍能够将75%的基因与成像特征相关联。

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