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Funded Grants

Grants awarded in the current fiscal year and carried over from prior fiscal years.

PI Name Sort descending PI Organization Title Grant Number Program Official
Kibel, Adam S

Brigham And Women'S Hospital
United States

Polygenic risk stratification combined with mpMRI to identify clinically relevant prostate cancer 5U01CA268810-03 Guillermo Marquez, Ph.D.
Kim, Hyung L

Cedars-Sinai Medical Center
United States

Intensive cholesterol-lowering intervention and anti-tumor immunity modeled in prostate cancer 5R01CA280060-03 Howard L. Parnes, M.D.
Kim, Michelle Kang

Cleveland Clinic Lerner Com-Cwru
United States

Assessing feasibility of gastric cancer screening in the US 1R37CA300540-01 Claire Zhu, Ph.D.
Kirkwood, Kimberly Saunders

University Of California, San Francisco
United States

Using microvolumetric cyst fluid proteolysis for early detection of pancreatic cancer 5U01CA282269-02 Matthew Young, Ph.D.
Kisiel, John

Mayo Clinic Rochester
United States

Multi-cancer Early Detection 2R01CA214679-08 Matthew Young, Ph.D.
Kleckner, Amber Simmons

University Of Maryland Baltimore
United States

Time-restricted eating to address cancer-related fatigue among survivors of hematological malignancies 5R01CA284082-02 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Klein, Alison P

Johns Hopkins University
United States

Improving Management of patients at High Risk of Pancreatic Cancer 1R01CA299421-01 Matthew Young, Ph.D.
Klopp, Ann

University Of Tx Md Anderson Can Ctr
United States

Defining a globally accessible and pragmatic predictive signature (GAPPS) for locally advanced cervical cancer 1R01CA301124-01 Goli Samimi, Ph.D., M.P.H.
Knoerl, Robert James

University Of Michigan At Ann Arbor
United States

Determining the Feasibility of Virtual Tailored, Music-Based Relaxation for Anxiety Among Adolescent and Young Adult Cancer Survivors. 5R34CA286712-02 Goli Samimi, Ph.D., M.P.H.
Kober, Kord Michael

University Of California, San Francisco
United States

An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach 5R37CA233774-07 Brandy Heckman-Stoddard, Ph.D., M.P.H.