Microarray Analysis for Human Genetic Disease
Status: | Completed |
---|---|
Conditions: | Breast Cancer, Skin Cancer, Ovarian Cancer |
Therapuetic Areas: | Oncology |
Healthy: | No |
Age Range: | Any |
Updated: | 4/21/2016 |
Start Date: | June 1999 |
End Date: | May 2008 |
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.
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.
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.
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.
- Clinical inclusion/exclusion criteria will be dependent upon the collaborating
Institutions' requirements.
We found this trial at
6
sites
Memorial Sloan Kettering Cancer Center Memorial Sloan Kettering Cancer Center — the world's oldest and...
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Johns Hopkins University The Johns Hopkins University opened in 1876, with the inauguration of its...
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University of Michigan The University of Michigan was founded in 1817 as one of the...
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