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Cancer Biomarkers

Promotes research to identify, develop, and validate biological markers for early cancer detection, risk prediction, and prevention. Supports development of collaborative databases and informatics systems, advancement of new technologies, and refinement of existing technologies.

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Major Programs

Staff List

Name, Email, Phone Room Group(s)/Office ID
Evans Williams, Felicia, M.B.A.
felicia.evanslong@nih.gov
240-276-5076
5E636 Program Analyst | Cancer Biomarkers 565
Fu, Sidney, M.D.
sidney.fu@nih.gov
240-276-6669
5E134 Program Officer | Cancer Biomarkers 2507
Hodges, Nick, Ph.D.
nick.hodges@nih.gov
240-276-7844
5E616 Program Officer | Cancer Biomarkers 2276
Kohaar, Indu, Ph.D., M.Phil., M.Sc.
indu.kohaar@nih.gov
240-620-0875
5E612 Program Officer | Cancer Biomarkers 2301
Marquez, Guillermo, Ph.D.
guillermo.marquez@nih.gov
240-276-7035
5E132 Program Officer | Cancer Biomarkers 585
Mazurchuk, Richard, Ph.D.
richard.mazurchuk@nih.gov
240-276-7126
5E582 Program Officer | Cancer Biomarkers 587
Orr, Susan
susan.orr@nih.gov
240-276-5001
5E626 Program Support Assistant | Cancer Biomarkers 597
Patriotis, Christos, Ph.D., M.Sc.
christos.patriotis@nih.gov
240-276-7134
5E614 Program Officer | Cancer Biomarkers 603
Petruzzelli, Angie
angie.petruzzelli@nih.gov
240-276-5076
5E624 Program Support Assistant | Cancer Biomarkers 653
Srivastava, Sudhir, Ph.D., M.P.H.
sudhir.srivastava@nih.gov
240-276-7028
5E136 Chief | Cancer Biomarkers 629
Wang, Wendy, Ph.D., M.Sc.
wendy.wang@nih.gov
240-276-7117
5E566 Program Officer | Cancer Biomarkers 639
Young, Matthew, Ph.D.
matthew.young@nih.gov
240-276-5846
5E610 Program Officer | Cancer Biomarkers 644

Grants

PI Name Sort descending PI Organization Title Grant Number Program Official
Tearney, Guillermo J

Massachusetts General Hospital
United States

Colorectal Cancer Screening with Optical Coherence Tomography 1R01CA280972-01A1 Matthew Young, Ph.D.
Thakur, Mathew Laxman

Thomas Jefferson University
United States

Noninvasive, Uniplex, Molecular, Pathomic Urinary Assay for Detection of Prostate Cancer 5R01CA249921-05 Richard Mazurchuk, Ph.D.
Tong, Frank

Vanderbilt University
United States

Learning the visual and cognitive bases of lung nodule detection 5R01CA240274-05 Richard Mazurchuk, Ph.D.
Torres, Keila Enitt

University Of Tx Md Anderson Can Ctr
United States

Use of Noninvasive Biomarkers and Advanced MRI for early detection of NF1-associated MPNSTs 5R01CA285980-02 Guillermo Marquez, Ph.D.
Velculescu, Victor E.

Johns Hopkins University
United States

DNA evaluation of fragments for early interception (DELFI) of Lung cancer 5U01CA271896-02 Guillermo Marquez, Ph.D.
Villanueva, Augusto

Icahn School Of Medicine At Mount Sinai
United States

Liquid biopsy and radiomics for liver cancer surveillance 5U01CA283931-02 Sidney Fu, M.D.
Wang, Thomas D

University Of Michigan At Ann Arbor
United States

Peptide multimer for early detection of hepatocellular carcinoma 1R01CA285303-01A1 Guillermo Marquez, Ph.D.
Wang, Tza-Huei Jeff

Johns Hopkins University
United States

Development of a low-cost epigenetic screening assay for Pap specimen-based detection of early-stage ovarian cancer in high-risk women 5R01CA260628-04 Christos Patriotis, Ph.D., M.Sc.
Wang, Thomas D

University Of Michigan At Ann Arbor
United States

Early detection of colorectal cancer in the traditional and serrated pathways 5R01CA249851-05 Guillermo Marquez, Ph.D.
Wang, Tza-Huei Jeff

Johns Hopkins University
United States

A low-cost, multiplexed digital high resolution melt platform for DNA methylation-based detection and identification of cancers in liquid biopsies 5R33CA272321-03 Christos Patriotis, Ph.D., M.Sc.
Wei, Lei

Roswell Park Cancer Institute Corp
United States

Advancing skin cancer prevention by tackling UV-induced clonogenic mutations 5R01CA255242-05 Wendy Wang, Ph.D., M.Sc.
Wolpin, Brian Matthew

Dana-Farber Cancer Inst
United States

Altered metabolism and machine learning for pancreatic cancer early detection 5U01CA210171-08 Matthew Young, Ph.D.
Wong, David T

University Of California Los Angeles
United States

Characterizing longitudinal dynamics of indeterminate pulmonary nodules using semantic, radiomic, and deep features 3U01CA233370-07S1
Wu, Yun

State University Of New York At Buffalo
United States

Exosomal Thomsen-Friedenreich glycoantigen as a new biomarker for lung cancer screening and early detection 5R21CA267934-02 Matthew Young, Ph.D.
Wu, Bechien

Kaiser Foundation Research Institute
United States

PRedictiOn Algorithms for the DeTECTion of Early Stage Pancreatic Cancer (PRO-TECT) 5R01CA230442-05 Matthew Young, Ph.D.