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Early Detection

Advances research to determine the effectiveness and clinical impact – harms and benefits – of cancer early detection technologies and practices, including imaging and molecular biomarker approaches. Fosters technological development, statistical modeling, and dissemination of scientific findings to promote early cancer detection practices.

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Major Programs

Resources

Cancer Data Access System (CDAS)

Staff List

Grid View

Photo	Name, Email, Phone	Room	Group(s)/Office
	LeeVan, Elyse, M.D., M.P.H. elyse.leevan@nih.gov 240-276-7314	5E110	Program Officer \| Early Detection
	McCarty, Larae larae.mccarty@nih.gov 240-276-5777	5E322	Program Specialist \| Community Oncology and Prevention Trials Early Detection
	Miller, Eric, Ph.D. eric.miller2@nih.gov 240-276-5336	5E212	Program Officer \| Early Detection
	Ong, Mary Jane maryjane.ong@nih.gov 240-858-3296	5E120	Nurse Consultant \| Early Detection
	Pinsky, Paul, Ph.D. paul.pinsky@nih.gov 240-276-7014	5E108	Chief \| Early Detection
	Saxena, Neeraj, Ph.D. neeraj.saxena@nih.gov 240-276-6302	5E218	Program Officer \| Early Detection
	Zhu, Claire, Ph.D. claire.zhu@nih.gov 240-276-7013	5E106	Program Officer \| Early Detection

Grants

PI Name Sort descending	PI Organization	Title	Grant Number	Program Official
Gill, Brian John Andrew	Columbia University Health Sciences United States	The Impact of Local and Reversible Change to GABAergic Inhibitory Signaling on Tumor-Induced Cortical Dysfunction in Glioma	1R01NS140658-01A1	Brandy Heckman-Stoddard, Ph.D., M.P.H.
Godwin, Andrew K.	University Of Kansas Medical Center United States	Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem	5R01CA260132-05	Matthew Young, Ph.D.
Goel, Ajay	Beckman Research Institute/City Of Hope United States	Exosome-based microRNA biomarkers for Non-invasive and Early Detection of Pancreatic Cancer	3U01CA214254-08S2	Matthew Young, Ph.D.
Goel, Ajay	Beckman Research Institute/City Of Hope United States	5mC and 5hmC DNA alterations as sensitive and specific biomarkers for the non-invasive early detection of pancreatic ductal adenocarcinoma	1U01CA296639-01A1	Claire Zhu, Ph.D.
Goel, Ajay	Beckman Research Institute/City Of Hope United States	Exosomal biomarkers for the early detection of hepatocellular carcinoma	5R01CA271443-03	Matthew Young, Ph.D.
Goggins, Michael G.	Johns Hopkins University United States	Using markers to improve pancreatic cancer screening and surveillance: a multi-center study	5U01CA210170-09	Matthew Young, Ph.D.
Goncalves, Marcus Dasilva	New York University School Of Medicine United States	Molecular Mechanisms of Fructose-induced Colorectal Cancer Cell Survival	5R01CA258697-05	Amit Kumar, Ph.D.
Gonzalez, Brian D	H. Lee Moffitt Cancer Ctr & Res Inst United States	Impact of Targeted Therapy on Cancer-Related Cognitive Impairment	5R01CA287666-02	Brandy Heckman-Stoddard, Ph.D., M.P.H.
Goode, Diana J	University Of New England United States	Novel expression of MHC class II on DRG neurons and its role in promoting antinociceptive CD4+ T cells in females during chemotherapy-induced peripheral neuropathy	5R01CA267554-04	Rachel Altshuler, Ph.D.
Grady, William Mallory	Fred Hutchinson Cancer Center United States	Understanding adenoma progression: Interplay among tissue microenvironment, clonal architecture, and gut microbiome	3U54CA274374-04S2	Christos Patriotis, Ph.D., M.Sc.
Grady, William Mallory	Fred Hutchinson Cancer Center United States	Biomarkers for optimizing risk prediction and early detection of cancers of the colon and esophagus	5U2CCA271902-04	Matthew Young, Ph.D.
Greene, Nicholas Perry	University Of Arkansas At Fayetteville United States	DEVELOPMENT OF TARGETED APPROACHES IN PREVENTION OF CANCER-CACHEXIA	5R01AR075794-05	Brandy Heckman-Stoddard, Ph.D., M.P.H.
Grimm, Lars J	Duke University United States	Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications	4R01CA271237-04	Guillermo Marquez, Ph.D.
Grogan, Eric L	Vanderbilt University Medical Center United States	Clinical Utility of Biomarkers Driven Management of Indeterminate Pulmonary Nodules	5R01CA252964-05	Claire Zhu, Ph.D.
Groninger, J. Hunter	Medstar Health Research Institute United States	Cognitive behavioral theory-assisted virtual reality for chronic cancer pain (VR-CAN): device prototype development and feasibility testing	1R21CA299799-01	Brennan Streck, Ph.D., RN, M.P.H.