Evidence map›Paper›PMID 32879897›Full record

ArticleTomography (Ann Arbor, Mich.)2020

Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.

Kooresh I Shoghi, Cristian T Badea, Stephanie J Blocker, Thomas L Chenevert, Richard Laforest, Michael T Lewis, Gary D Luker, H Charles Manning, Daniel S Marcus, Yvonne M Mowery and 6 more

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Kooresh I ShoghiDepartment of Radiology, Washington University School of Medicine, St. Louis, MO.
Cristian T BadeaDepartment of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC.
Stephanie J BlockerDepartment of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Richard LaforestDepartment of Radiology, Washington University School of Medicine, St. Louis, MO.
Michael T LewisDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX.
Gary D LukerDepartment of Radiology, University of Michigan, Ann Arbor, MI.
H Charles ManningVanderbilt Center for Molecular Probes-Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN.
Daniel S MarcusDepartment of Radiology, Washington University School of Medicine, St. Louis, MO.
Yvonne M MoweryDepartment of Radiation Oncology, Duke University Medical Center, Durham, Durham, NC.
Stephen PickupDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania.
Ann RichmondDepartment of Pharmacology, Vanderbilt School of Medicine, Nashville, TN.
Brian D RossDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Anna E VilgelmDepartment of Pathology, The Ohio State University, Columbus, OH.
Thomas E YankeelovDepartments of Biomedical Engineering, Diagnostic Medicine, and Oncology, Oden Institute for Computational Engineering and Sciences, Austin, TX; and.
Rong ZhouDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Targeting the NF-kappaB Pathway in MelanomaR01CA116021 · NCI · VANDERBILT UNIVERSITY · PI RICHMOND, ANN, YAN, CHI · 2005 to 2024
$6.7M
WASHINGTON UNIVERSITY CO-CLINICAL IMAGING RESEARCH RESOURCEU24CA209837 · NCI · WASHINGTON UNIVERSITY · PI Li Ding, Shunqiang Li · 2017 to 2026
$6.3M
VU PREDICTU24CA220325 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KOPETZ, SCOTT, MANNING, HENRY CHARLES · 2018 to 2022
$3.3M
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCERU24CA226110 · NCI · BAYLOR COLLEGE OF MEDICINE · PI LEWIS, MICHAEL T., RUBIN, DANIEL L · 2019 to 2023
$3.2M
University of Michigan Quantitative Co-Clinical Imaging Research ResourceU24CA237683 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, LUKER, GARY D · 2019 to 2023
$3.1M
Penn Quantitative MRI Resource for Pancreatic CancerU24CA231858 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ODWYER, PETER J, ROSEN, MARK ALAN · 2018 to 2022
$3.0M
The Duke Preclinical Research Resources for Quantitative Imaging BiomarkersU24CA220245 · NCI · DUKE UNIVERSITY · PI BADEA, CRISTIAN T · 2017 to 2021
$2.8M
Combining senescence-inducing and senolytic agents to improve melanoma therapyR37CA233770 · NCI · VANDERBILT UNIVERSITY · PI VILGELM, ANNA E · 2019 to 2025
$2.4M
Optimizing Response to Immune Checkpoint Inhibitor Therapy for Breast Cancer: A Role for Inhibitors of the PI3K pathwayR01CA243326 · NCI · VANDERBILT UNIVERSITY · PI RICHMOND, ANN, YAN, CHI · 2020 to 2024
$1.8M
BLR&D Merit Review Research Career Scientist (RCS) Award (IK6)IK6BX005225 · VA · VETERANS HEALTH ADMINISTRATION · PI RICHMOND, ANN · 2020 to 2023
–
Modeling New Therapeutic Approaches for Malignant MelanomaI01BX002301 · VA · VETERANS HEALTH ADMINISTRATION · PI Julie A Rhoades (Sterling) · 2014 to 2026
–
BLRD VA I01 BX002301NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA116021NCI NIH HHS R01 CA243326NCI NIH HHS R37 CA233770NCI NIH HHS U24 CA209837NCI NIH HHS U24 CA220245NCI NIH HHS U24 CA220325NCI NIH HHS U24 CA226110NCI NIH HHS U24 CA231858NCI NIH HHS U24 CA237683
6 · The paper itself

Abstract

The National Institutes of Health's (National Cancer Institute) precision medicine initiative emphasizes the biological and molecular bases for cancer prevention and treatment. Importantly, it addresses the need for consistency in preclinical and clinical research. To overcome the translational gap in cancer treatment and prevention, the cancer research community has been transitioning toward using animal models that more fatefully recapitulate human tumor biology. There is a growing need to develop best practices in translational research, including imaging research, to better inform therapeutic choices and decision-making. Therefore, the National Cancer Institute has recently launched the Co-Clinical Imaging Research Resource Program (CIRP). Its overarching mission is to advance the practice of precision medicine by establishing consensus-based best practices for co-clinical imaging research by developing optimized state-of-the-art translational quantitative imaging methodologies to enable disease detection, risk stratification, and assessment/prediction of response to therapy. In this communication, we discuss our involvement in the CIRP, detailing key considerations including animal model selection, co-clinical study design, need for standardization of co-clinical instruments, and harmonization of preclinical and clinical quantitative imaging pipelines. An underlying emphasis in the program is to develop best practices toward reproducible, repeatable, and precise quantitative imaging biomarkers for use in translational cancer imaging and therapy. We will conclude with our thoughts on informatics needs to enable collaborative and open science research to advance precision medicine.

Indexed as

NeoplasmsPrecision MedicineAnimalsDiagnostic ImagingHumansProteomicsTranslational Research, BiomedicalUnited Statescell transplant model (CTM)co-clinical trialCTgenetically engineered mouse model (GEMM)informaticsMRpatient-derived tumor xenograft (PDX)precision medicinepreclinical PETquantitative imaging

Identifiers

PMID32879897
PMCPMC7442091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.