ISSN: 2161-0681

Journal of Clinical & Experimental Pathology
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Citations : 2975

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Mary Elizabeth Edgerton

Mary Elizabeth  Edgerton

Mary Elizabeth  Edgerton
Associate Professor with Tenure
Department of Anatomic Pathology
University of Texas MD Anderson Cancer Centre
USA

University of Texas MD Anderson Cancer Center

Biography

Mary E. Edgerton was born in Austin, Texas and was raised in the Rio Grande Valley. She received a B.S. in Physics with Highest Honors from the University of Texas at Austin. Following this, she was a Marshall Scholar to the United Kingdom where she received a Ph.D. in Biophysics from the University of East Anglia. She completed postdoctoral studies at the Unviersity of California at San Francisco and at the State university of New York at Stony Brook, and then worked for nine years for Exxon and then Mobil Oil Company in their research laboratories. She left the research laboratoires to attend medical school, and obtained her MD. from Medical College of Pennsylvania in Philadelphia. She completed her pathology residency and surgical pathology fellowship at the Hospital of the University of Pennsylvania. She is board certified in Anatomic and Clinical Pathology and was an Assistant Professor of Pathology at Vanderbilt University and an Associate Professor in the Division of Anatomic Pathology at the Moffitt Cancer Center before coming to MD Anderson, where she is currently an Associate Professor with tenure.

Research Interest

Dr. Edgerton’s research is focused on discovery of mechanisms in cancer genesis and progression. She has worked on the development of mathematical models for computer simulations of spread of ductal carcinoma in situ, and the role of cell motility in extensive disease. She also researches methods for the analysis of gene expression array data for pathway discovery. She has published on the application of these methods to lung cancer and breast cancer profiles data. In addition to researching mechanisms, Dr. Edgerton has worked on the development of integrated information platforms for tissue acquisition, clinical annotation, and molecular profiling. She has contributed to the development of standards for data sharing and to ontologies to be used for tissue annotation.

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