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Microarray Analysis for Human Genetic Disease

This study will look at genetic changes which occur in the development of male and female breast cancer and other cancer. It will use a new technology called DNA microarray hybridization that looks at a wide array of genes to identify disease-associated patterns in the human genome (complete set of human genes). Numerous studies have linked particular genes to a given disease, but there is very little information on patterns of gene expression (production of proteins from genetic coding) in the entire human genome.

Pinpointing genetic abnormalities in disease may help classify different forms of cancer and perhaps lead to new avenues of treatment or prevention. A primary goal of this study will be to create a database of gene expression for human cancers and other disorders that will provide the basis for finding genetic abnormalities in disease.

Tumors specimens used in this study will be taken from tissues biopsied from patients with breast, colon cancer, sarcomas or melanoma as part of their routine care. Patients in the study will be among those receiving care at the: Department of Oncology, University Hospital, University of Lund, Sweden (breast cancer); Department of Medicine, University of Michigan, Ann Arbor, Michigan (breast cancer); Surgery Branch, National Cancer Institute, Bethesda, Maryland (melanoma), Johns Hopkins Univ. (colon cancer), Memorial Sloan Kettering (sarcoma).

Patients in the study will have a family history taken and will complete a questionnaire. Some patients will be asked to have a blood test. Breast cancer patients will have a mammogram if one has not been done within the last year.

研究概览

详细说明

The purpose of our study is to make use of a novel technology that the Cancer Genetics Branch of the NHGRI has been a leader in developing. This technology for genome-wide expression analysis, DNA microarray hybridization, is the focus of our protocol. We will access tissue banks collected by our collaborators that contain excess tissues obtained during routine clinical care. Specimens will be processed for large-scale gene expression analysis and DNA copy number determination using DNA microarrays. The development and analysis of this gene expression and gene copy number database are the primary purpose of this study. Currently available and new bioinformatics tools will be applied to the data for the characterization of disease subsets (e.g., early vs. advanced stage cancer) as well as to mine the data for specific genes which are linked to given disease states.

研究类型

观察性的

注册

1500

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

      • Reykjavik、冰岛
        • University of Iceland
      • Lund、瑞典
        • University of Lund
    • Arizona
      • Tucson、Arizona、美国、85724
        • Arizona Cancer Center
    • Maryland
      • Baltimore、Maryland、美国、21205
        • Johns Hopkins University
    • Michigan
      • Ann Arbor、Michigan、美国、48109-0624
        • University of Michigan
    • New York
      • New York、New York、美国、10021
        • Memorial Sloan Kettering Cancer Center
    • Texas
      • Houston、Texas、美国、77030-4096
        • MD Anderson Cancer Center
      • Helsinki、芬兰
        • Helsinki University Central Hospital

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子
  • 成人
  • 年长者

接受健康志愿者

有资格学习的性别

全部

描述

  • Clinical inclusion/exclusion criteria will be dependent upon the collaborating Institutions' requirements.

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

1999年6月29日

研究完成

2008年5月20日

研究注册日期

首次提交

1999年11月3日

首先提交符合 QC 标准的

1999年11月3日

首次发布 (估计)

1999年11月4日

研究记录更新

最后更新发布 (实际的)

2017年7月2日

上次提交的符合 QC 标准的更新

2017年6月30日

最后验证

2008年5月20日

更多信息

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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