C. Webb, S. Scollon, Jeremy C. Miller, B. Teh
{"title":"Gene expression profiling of endocrine tumors by microarray analysis","authors":"C. Webb, S. Scollon, Jeremy C. Miller, B. Teh","doi":"10.1097/00060793-200306000-00002","DOIUrl":null,"url":null,"abstract":"&NA; In recent years, high‐throughput technologies such as microarrays have allowed comprehensive genetic profiling of a variety of diseases. Many types of tumors, including those of endocrine origin, have been subjected to microarray profiling. To the delight of most scientists, not only can the analysis of thousands of genes expressed in the tumors glean invaluable information regarding tumor biology, but one can also correlate the data with clinical parameters including diagnosis, prognosis, and drug response. In addition, some of these genes will likely serve as novel targets for future therapeutic intervention. We review here some of these technologies with a focus on their application to tumors of endocrine origin. We believe that these technologies, most of which are still evolving, will become mainstay research tools for biomedical research including the diagnosis and treatment of endocrine tumors. Curr Opin Endocrinol Diabetes 10:162–167 © 2003 Lippincott Williams & Wilkins","PeriodicalId":88857,"journal":{"name":"Current opinion in endocrinology & diabetes","volume":"10 1","pages":"162–167"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/00060793-200306000-00002","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in endocrinology & diabetes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/00060793-200306000-00002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
用微阵列分析内分泌肿瘤基因表达谱
患者;近年来,微阵列等高通量技术已经能够对多种疾病进行全面的基因图谱分析。许多类型的肿瘤,包括内分泌来源的肿瘤,已经受到微阵列分析。令大多数科学家高兴的是,不仅可以分析肿瘤中表达的数千个基因,收集有关肿瘤生物学的宝贵信息,而且还可以将数据与临床参数(包括诊断、预后和药物反应)联系起来。此外,其中一些基因可能会成为未来治疗干预的新靶点。我们在此综述其中的一些技术,重点介绍它们在内分泌源性肿瘤中的应用。我们相信,这些技术,其中大部分仍在发展,将成为生物医学研究的主要研究工具,包括内分泌肿瘤的诊断和治疗。内分泌与糖尿病杂志10:162-167©2003 Lippincott Williams & Wilkins
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