Computational Cancer Research Laboratory (CCRL)
Sylvia Plevritis
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The cancer research community is poised for landmark discoveries in cancer initiation, progression and treatment given substantial technological strides in characterizing the disease at the molecular level. Today a patient's tumor is not only described by its anatomical morphology and pathology, but also its molecular constituents via imaging, genetic composition, genomic expression and proteomic profile. A new daunting challenge has emerged: How do we integrate vast amounts of diverse information about a patient's tumor for a more comprehensive understanding of the disease course that will lead to effective treatment? The Computational Cancer Research Laboratory (CCRL) aims to address this challenge by developing novel computational approaches that integrate information on the molecular, cellular, tissue properties of cancer and relate this information to a tumor's treatment response and patient outcomes. We collaborate closely with molecular biologists, biochemists, engineers, imaging physicists, clinical oncologists and radiologists to promote an integrative, multidisciplinary approach to cancer research.
Specific projects include:
High-throughput molecular analysis of the transformation of low grade to
high grade hematopoietic malignancies, integrating data on gene copy number,
gene expression, protein expression and patient outcomes
High-throughput molecular analysis of tumor progression in mouse models
Identification of biomarkers and pathways predictive of response to cancer
therapies targeting the EFGR pathway
Epidemiological models of the natural history of breast cancer and lung
cancer on clinical time scales
Computer simulation models that predict cancer screening outcomes under
emerging technologies, with emphasis on screening high risk individuals for
lung cancer with CT and for breast cancer with MRI.
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List of all MIPS Faculty and Staff
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