Charles Perou
Breast cancer is a prevalent disease with known clinical and molecular diversity. To address these challenges, my research uses a multidisciplinary approach based upon genomics, genetics, cancer biology, bioinformatics, epidemiology, and clinical trials to improve the outcomes of cancer patients. A major contribution of mine has been the discovery of the intrinsic subtypes of breast cancer where here we demonstrated that breast cancers can be divided into at least five molecular subtypes using the “PAM50” assay. My lab has focused on identifying the molecular causes of each subtype, with particular attention on the Basal-like subtype, which represents >80% of Triple Negative Breast Cancers. We have discovered many of the genetic causes of each subtype, modeled these alterations in Mouse Models, and then used these models to investigate tumor biology, immune system interactions, and the efficacy of novel drug combinations. We have also translated these molecular finding into the human population using a North Carolina population-based study (Carolina Breast Cancer Study), where we found that African Americans were diagnosed with Basal-like Breast Cancers approximately twice as often as those of European decent. My research also uses machine learning to link together tumor genomics, microenvironment, and pathology features into predictive algorithms that are currently used in the cancer clinic.
I am currently the Co-Director of the Computational Medicine Program, Faculty Director of the Lineberger Comprehensive Cancer Center (LCCC) Bioinformatics Group, and Co-Leader of the LCCC Breast Cancer Research Program at UNC. I am also a member of the ALLIANCE Breast Committee, and the Executive Steering Committee Member of the Translational Breast Cancer Research Consortium (TBCRC). My training history includes a Bachelor’s degree in Biology from Bates College, a PhD in Experimental Pathology from the University of Utah, and postdoctoral work in the laboratory of David Botstein (then at Stanford University). I have won a number of awards including the European Institute of Oncology Breast Cancer Therapy Award, the Jill Rose Award for Distinguished Biomedical Research from BCRF, the Brinker Award for Scientific Distinction from Komen, the Distinguished Scientist Award from the Association of American Cancer Institutes, and most recently been elected as a Fellow of the AACR (FAACR). I have authored more than 450 peer reviewed articles, and have been named an inventor on multiple USA and European patents. Lastly, I have been named a Thomson Reuters Most Highly Cited Researcher in 2014-2022, where my work has received more than 240,000 total citations according to Google Scholar.
Financial relationships
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Attribution:SelfType of financial relationship:PatentIneligible company:BioclassifierTopic:PAM50Date added:07/07/2024Date updated:07/07/2024
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Attribution:SelfType of financial relationship:StockIneligible company:BioclassifierDate added:07/07/2024Date updated:07/07/2024
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Attribution:SelfType of financial relationship:StockIneligible company:Reveal GenomicsTopic:HER2DX and DNADXDate added:07/07/2024Date updated:07/07/2024