Improvements in the Characterization of Adult Soft Tissue Sarcomas

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Walter Rich

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Summary Sentence:

Study helps to improve the classification of sarcomas at molecular levels

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  • Lee Cooper, assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Emory and Georgia Tech Lee Cooper, assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Emory and Georgia Tech
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Lee Cooper, assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Emory and Georgia Tech, working with The Cancer Genome Atlas (TCGA) and a large team of researchers has published a comprehensive genomic analysis of soft tissue sarcomas in the journal Cell. The study defines the genetic diversity of sarcomas, and provides researchers with a resource to improve the classification of sarcomas and to identify new therapies for treating patients diagnosed with sarcoma.

 

Cooper’s contribution focused on the analysis of microscopic images of cancer tissues. Pathologists examine these tissues using a microscope to classify and determine how advanced a patient’s disease is, but the molecular basis of many of the patterns that they see in tissues are not well understood.

 

The team found that tumors with more variability were also more complex on a molecular level, having more abnormal chromosomes and genetic diversity within their cells. To perform this analysis, Cooper’s team applied image analysis techniques to analyze the size and shape of more than 500 million cells in sarcoma tissues from the TCGA and compared these measurements to data obtained from DNA sequencing.

 

“Pathologists have used the variability of the size and shape of cells as a prognostic indicator in many cancers, but the molecular associations of this variability are not well understood,” said Cooper. “The blend of computational and clinical expertise on the TCGA teams is really unique. This expertise and the datasets produced by TCGA allow us to investigate the molecular foundations of visual patterns that pathologists routinely use to classify disease.”

 

Cooper’s lab is currently extending this approach to understand patterns that pathologists see in other diseases.

 

 

 

Media Contacts:

Walter Rich
Communications Manager

Wallace H. Coulter Department of Biomedical Engineering

Georgia Institute of Technology

Additional Information

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Wallace H. Coulter Dept. of Biomedical Engineering

Categories
Biotechnology, Health, Bioengineering, Genetics
Related Core Research Areas
Bioengineering and Bioscience
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BME
Status
  • Created By: Walter Rich
  • Workflow Status: Published
  • Created On: Nov 20, 2017 - 2:06pm
  • Last Updated: Nov 20, 2017 - 2:06pm