Skip to main content
An official website of the United States government

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.

On This Page

  • All Heading 2s will automatically be pulled in to this list.
  • Do not edit the content on this template.

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

No matching Funding Opportunities were found.

View All Funding Opportunities

Grantee Details

PI Name Sort descending PI Organization Title Grant Number Program Official
Zarrinpar, Amir

University Of California, San Diego
United States

Engineering Native E. coli to Detect, Report, and Treat Colorectal Cancer 5U01CA265719-05 Guillermo Marquez, Ph.D.
Zeng, Melody Yue

Weill Medical Coll Of Cornell Univ
United States

Dissecting the interplay between immunoglobulin G and the gut microbiome in cancer progression and metastasis 5R21CA270998-02 Young Kim, Ph.D.
Zhang, Zhen

Johns Hopkins University
United States

A multidisciplinary BCC for ovarian cancer early detection: translating discoveries to clinical use with a by-design approach 5U2CCA271891-04 Christos Patriotis, Ph.D., M.Sc.
Zhao, Hua

University Of Virginia
United States

Homologous recombination repair capacity in peripheral blood lymphocytes as a breast cancer risk factor 4U01CA260731-04 Claire Zhu, Ph.D.
Zhao, Yingqi

Fred Hutchinson Cancer Center
United States

Developing methods for advancing the early detection of pancreatic ductal adenocarcinoma leveraging electronic medical records data 1R01CA289668-01A1 Matthew Young, Ph.D.
Zheng, Qin

Johns Hopkins University
United States

Determining the function of medium to large diameter sensory neurons in paclitaxel-induced pain via large-scale in vivo DRG imaging 1R01CA291906-01A1 Rachel Altshuler, Ph.D.
Zheng, Yingye

Fred Hutchinson Cancer Center
United States

The Early Detection Research Network: Data Management and Coordinating Center 5U24CA086368-25 Guillermo Marquez, Ph.D.
Zheng, Yingye

Fred Hutchinson Cancer Center
United States

The Early Detection Research Network: Data Management and Coordinating Center 5U24CA086368-25 Guillermo Marquez, Ph.D.
Zheng, Qin

Johns Hopkins University
United States

Determining the function of medium to large diameter sensory neurons in paclitaxel-induced pain via large-scale in vivo DRG imaging 1R01CA291906-01A1 Rachel Altshuler, Ph.D.
Zheng, Yingye

Fred Hutchinson Cancer Center
United States

Precompetitive Collaboration on Liquid Biopsy for Early Cancer Assessment: Data Management and Coordinating Unit 5U24CA288185-03 Guillermo Marquez, Ph.D.
Zheng, Qin

Johns Hopkins University
United States

Determining the function of medium to large diameter sensory neurons in paclitaxel-induced pain via large-scale in vivo DRG imaging 1R01CA291906-01A1 Rachel Altshuler, Ph.D.
Zhou, Xianghong Jasmine

University Of California Los Angeles
United States

Multi-cancer early detection using cell-free DNA methylome analysis 5U01CA285010-03 Nicholas Hodges, Ph.D.
Zhou, Xianghong Jasmine

University Of California Los Angeles
United States

Detecting and locating cancer for patients with CT-detected lung nodules 4R01CA264864-04 Guillermo Marquez, Ph.D.
Zhou, Xianghong Jasmine

University Of California Los Angeles
United States

The UCLA Center in Early Detection of Liver Cancer 5U01CA230705-08 Sidney Fu, M.D.
Zhu, Yong

Univ Of Arkansas For Med Scis
United States

Explore piRNAs as a novel group of biomarkers for ovarian cancer early detection 1R21CA277412-01A1 Christos Patriotis, Ph.D., M.Sc.

Program Contact(s)

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

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