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Sofia D. Merajver, MD, PhD

University of Michigan
Ann Arbor, Michigan

Titles and Affiliations

Professor of Internal Medicine and Epidemiology
Director, Breast and Ovarian Cancer Risk Evaluation Program

Research area

Identifying new strategies for the prevention and treatment of aggressive breast cancers.

Impact

Aggressive breast cancers such as inflammatory breast cancer (IBC), subsets of triple-negative breast cancer (TNBC), and others that rapidly progress have acquired the ability to promote cancer cell motility throughout the body and resist therapies, characteristics known to promote metastasis. By studying these molecular adaptations, Dr. Merajver and her team devised potential new avenues to attack aggressive cancer cells. They hope to be able to guide therapies for patients diagnosed with aggressive breast cancers in the US and worldwide, especially as TNBC and IBC disproportionately burden underserved populations and have higher incidence in individuals of African ancestry.

Progress Thus Far

Dr. Merajver and her team seek to understand how cancer adapts to therapies and the immune system which can cause drug resistance and progression. They are designing new treatments that specifically target the unique metabolism of a cancer cell. Recently, they identified a key enzyme, ME2, that drives cancer aggressiveness and showed that blocking ME2 slows tumor growth. They have also discovered promising drug combinations and built a diverse set of models to predict which treatments will work best for individual tumors.

What’s next

The research team will refine ME2-targeting treatments by exploring combinations that also block backup energy pathways in TNBC and IBC. They will enhance their artificial intelligence model to predict and prevent brain metastases and test predictions in advanced models developed from over 40 patient tumors. Ongoing work will also focus on identifying biomarkers to determine which tumors are most likely to respond to promising new drug combinations.

Biography

Sofia D. Merajver, MD, PhD is a physician scientist with a translational focus on integrating molecular genetics of breast cancer with fundamental studies of the dynamics of cancer signal transduction into innovative clinical strategies for women at high risk for breast cancer and cancer patients. As Director of the Breast and Ovarian Cancer Risk Evaluation Program and as Scientific Director of the Breast Oncology Program, she is engaged with clinical translational research that tests molecular, engineering, and educational interventions for cancer patients. From 2010-2013 she served as Director of the University of Michigan Center for Global Health, a university-wide, cross-disciplinary global health translational research project to ameliorate health disparities in the US and globally. Her research in the molecular biology of cancer and aggressive cancer phenotypes encompasses work on the role of Rho and other signaling and cytoskeletal proteins in cancer cell invasion and motility, the role of copper in angiogenesis, and metabolism and signal transduction in cancer. Her research laboratory has collaborated with systems biologists and modelers for over 7 years on projects that focused on the fundamental structure of information transmission in cellular signal transduction cascades. This work has brought together physicists, electrical engineers, biological chemists, cell biologists, and oncologists working on different aspects of the problem both from a theoretical standpoint and for the experimental testing of the models’ predictions. In the Merajver laboratory, teams of molecular biologists are working alongside faculty and students in mathematics, bioinformatics, and engineering to model and understand the details of single cell motion and the key signaling intermediates that determine the switch between motion and proliferation, both structurally and metabolically.

BCRF Investigator Since

2004

Donor Recognition

The Delta Air Lines Award

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I give to the Breast Cancer Research Foundation, located in New York, NY, federal tax identification number 13-3727250, ________% of my total estate (or $_____).

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