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Consortium for Imaging and Biomarkers (CIB)

The Consortium for Imaging and Biomarkers (CIB) seeks to improve cancer screening, early detection of aggressive cancer, assessment of cancer risk, and cancer diagnosis by integrating imaging strategies with biomarkers into complementary approaches.

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About the Consortium for Imaging and Biomarkers

The Consortium for Imaging and Biomarkers aims to integrate imaging strategies and biomarker methodologies into a singular complementary approach to cancer detection. Investigators Work in multi-disciplinary teams to perform collaborative studies, exchange information, share knowledge and leverage common resources.

Overdiagnosis (finding cancers that will never affect a person’s health) and false positives (test results that show cancer when none is there) present significant clinical problems in the prevention, detection and treatment of cancer. There is a need to more accurately identify early-stage aggressive cancers and distinguish lesions that are life threatening from those that are not.

The Consortium for imaging and Biomarkers Research Units develop, optimize, and clinically validate novel methods to:

  • Detect aggressive cancers at the earliest stages possible;
  • Reduce overdiagnosis;
  • Reduce false positive tests; and
  • Identify lethal cancers from non-lethal disease.

The goal of the Consortium for imaging and Biomarkers is to develop improved methods for the early detection of aggressive cancer by managing overdiagnosis, reducing false positives and identifying lethal cancers from non-lethal disease using strategies aimed at effective integration and validation of imaging and biomarkers.

Funding Opportunity

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Grantee Details

PI Name Sort descending PI Organization Title Grant Number Program Official
Alexandrov, Ludmil B

University Of California, San Diego
United States

Mapping immuno-genomic drivers of the head and neck precancer invasive-disease transition 5U01CA290479-03 Wendy Wang, Ph.D., M.Sc.
Allen, Peter J

Duke University
United States

Biomarker validation for intraductal papillary mucinous neoplasms of the pancreas 5R01CA182076-08 Matthew Young, Ph.D.
Amuta, Ann Oyare

University Of Texas Arlington
United States

Development of Tailored, Multilevel Cervical Cancer Interventions for Ethnically Diverse Black Women 1R15CA294297-01 Goli Samimi, Ph.D., M.P.H.
Anderson, Karen Sue

Arizona State University-Tempe Campus
United States

Southwest EDRN Clinical Validation Center for Head and Neck Cancer 5U01CA281660-03 Wendy Wang, Ph.D., M.Sc.
Anderson, Karen Sue

Arizona State University-Tempe Campus
United States

Southwest EDRN Clinical Validation Center for Head and Neck Cancer 5U01CA281660-03 Wendy Wang, Ph.D., M.Sc.
Anderson, Garnet L.

Fred Hutchinson Cancer Center
United States

NCI Cancer Screening Research Network: Coordinating and Communication Center 3UG1CA286954-02S1 Elyse LeeVan, M.D., M.P.H.
Anderson, Daniel M

Healthpartners Institute
United States

Metro-Minnesota Community Oncology Research Consortium (MMCORC) 3UG1CA189863-12S1 Vanessa A. White, M.P.H.
Anderson, Daniel M

Healthpartners Institute
United States

Metro-Minnesota Community Oncology Research Consortium (MMCORC) 3UG1CA189863-12S1 Vanessa A. White, M.P.H.
Arnold, Corey Wells

University Of California Los Angeles
United States

Computational Feature Profiling and Modeling for Prostate Cancer Detection and Risk Stratification 5R01CA279666-02 Indu Kohaar, Ph.D., M.Phil., M.Sc.
Atigadda, Venkatram Reddy

University Of Alabama At Birmingham
United States

Development of Potent and non-toxic rexinoids to prevent non-melanoma skin cancer 5R01CA276683-03
Backman, Vadim

Northwestern University At Chicago
United States

Optical hyperspectral nanoscale chromatin analysis for colon cancer risk-stratification 1R01CA289294-01A1 Claire Zhu, Ph.D.
Badu-Tawiah, Abraham

Ohio State University
United States

Multiplexed Paper-Based Blood Test for Early-Stage Colorectal Cancer Screening 5R21CA270727-02 Claire Zhu, Ph.D.
Badve, Sunil S.

Emory University
United States

Early prediction of lethal phenotypes in triple negative breast cancer using multiscale, multi-modality platforms 5R01CA281932-02 Wendy Wang, Ph.D., M.Sc.
Bae-Jump, Victoria Lin

Univ Of North Carolina Chapel Hill
United States

Obesity-driven Metabolic and Molecular Biomarkers of Metformin Response in Endometrial Cancer 5R37CA226969-07 Goli Samimi, Ph.D., M.P.H.
Baghdadi, Tareq Al

Saint Joseph Mercy Health System
United States

Michigan Cancer Research Consortium NCORP 3UG1CA189971-11S1 Vanessa A. White, M.P.H.

Program Contact(s)

Sudhir Srivastava, Ph.D., M.P.H.
Email: sudhir.srivastava@nih.gov

Guillermo Marquez, Ph.D.
Email: guillermo.marquez@nih.gov