Evidence map›Paper›PMID 36961012›Full record

ReviewTomography (Ann Arbor, Mich.)2023

Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials.

Donna M Peehl, Cristian T Badea, Thomas L Chenevert, Heike E Daldrup-Link, Li Ding, Lacey E Dobrolecki, A McGarry Houghton, Paul E Kinahan, John Kurhanewicz, Michael T Lewis and 15 more

Full text readReview
In one paragraph

Review in Tomography (Ann Arbor, Mich.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
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

25 authors.

Donna M PeehlDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.
Cristian T BadeaDepartment of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Thomas L ChenevertDepartment of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.ORCID 0000-0003-1476-4274
Heike E Daldrup-LinkMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA 94305, USA.
Li DingDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lacey E DobroleckiAdvanced Technology Cores, Baylor College of Medicine, Houston, TX 77030, USA.
A McGarry HoughtonFred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Paul E KinahanDepartment of Radiology, University of Washington, Seattle, WA 98105, USA.
John KurhanewiczDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-3544-5339
Michael T LewisDepartments of Molecular and Cellular Biology and Radiology, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-6330-4007
Shunqiang LiDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Gary D LukerDepartment of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6832-2581
Cynthia X MaDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-8156-7492
H Charles ManningDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yvonne M MoweryDepartment of Radiation Oncology, Duke University School of Medicine, Durham, NC 27708, USA.ORCID 0000-0002-9839-2414
Peter J O'DwyerAbramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Robia G PautlerDepartment of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0001-7952-8526
Mark A RosenAbramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Raheleh RoudiMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5023-4743
Brian D RossDepartment of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.ORCID 0000-0003-2695-9140
Kooresh I ShoghiMallinckrodt Institute of Radiology (MIR), Washington University School of Medicine, St. Louis, MO 63110, USA.
Renuka SriramDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-3505-2479
Moshe TalpazDivision of Hematology/Oncology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
Richard L WahlMallinckrodt Institute of Radiology (MIR), Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-7306-2590
Rong ZhouAbramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-4018-381X

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Daniel B Vigneron · 2011 to 2026
$19.9M
Vanderbilt-Ingram Cancer Center SPORE in Gastrointestinal CancerP50CA236733 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STEPHEN W. FESIK · 2019 to 2026
$19.6M
Project 4: Risk stratification for pulmonary nodules detected by CT imaging using plasma and imaging biomarkersP50CA228944 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PHILIP D GREENBERG · 2019 to 2026
$19.6M
WASHINGTON UNIVERSITY CO-CLINICAL IMAGING RESEARCH RESOURCEU24CA209837 · NCI · WASHINGTON UNIVERSITY · PI Li Ding, Shunqiang Li · 2017 to 2026
$6.3M
Imaging of Hematologic and Oncologic DisordersR35CA197701 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSS, BRIAN D. · 2016 to 2022
$5.9M
Preclinical Imaging XNAT-enabled Informatics (PIXI) CenterU24CA253531 · NCI · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus, Kooresh Isaac Shoghi · 2020 to 2026
$5.1M
Preclinical imaging characterization and resource development of PDX SCNC prostate cancer murine modelsU24CA253377 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KURHANEWICZ, JOHN, PEEHL, DONNA M. · 2020 to 2024
$3.4M
VU PREDICTU24CA220325 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KOPETZ, SCOTT, MANNING, HENRY CHARLES · 2018 to 2022
$3.3M
Targeting Neuroendocrine Prostate Cancer Using Multi-Probe Hyperpolarized 13C MRI for Improved Treatment and Therapeutic MonitoringR01CA215694 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGGARWAL, RAHUL, KURHANEWICZ, JOHN · 2017 to 2021
$3.3M
Co-Clinical Research Resource for Imaging Tumor Associated MacrophagesU24CA264298 · NCI · STANFORD UNIVERSITY · PI DALDRUP-LINK, HEIKE ELIZABETH, GATIDIS, SERGIOS · 2021 to 2025
$3.2M
NCI NIH HHS P30 CA091842NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA228944NCI NIH HHS P50 CA236733NCI NIH HHS R01 CA215694NCI NIH HHS R01 CA238023NCI NIH HHS R01 CA273194NCI NIH HHS R35 CA197701NCI NIH HHS U24 CA209837NCI NIH HHS U24 CA220245NCI NIH HHS U24 CA220325NCI NIH HHS U24 CA226110NCI NIH HHS U24 CA231858NCI NIH HHS U24 CA237683NCI NIH HHS U24 CA253377NCI NIH HHS U24 CA253531NCI NIH HHS U24 CA264044NCI NIH HHS U24 CA264298NIBIB NIH HHS P41 EB013598
6 · The paper itself

Abstract

The availability of high-fidelity animal models for oncology research has grown enormously in recent years, enabling preclinical studies relevant to prevention, diagnosis, and treatment of cancer to be undertaken. This has led to increased opportunities to conduct co-clinical trials, which are studies on patients that are carried out parallel to or sequentially with animal models of cancer that mirror the biology of the patients' tumors. Patient-derived xenografts (PDX) and genetically engineered mouse models (GEMM) are considered to be the models that best represent human disease and have high translational value. Notably, one element of co-clinical trials that still needs significant optimization is quantitative imaging. The National Cancer Institute has organized a Co-Clinical Imaging Resource Program (CIRP) network to establish best practices for co-clinical imaging and to optimize translational quantitative imaging methodologies. This overview describes the ten co-clinical trials of investigators from eleven institutions who are currently supported by the CIRP initiative and are members of the Animal Models and Co-clinical Trials (AMCT) Working Group. Each team describes their corresponding clinical trial, type of cancer targeted, rationale for choice of animal models, therapy, and imaging modalities. The strengths and weaknesses of the co-clinical trial design and the challenges encountered are considered. The rich research resources generated by the members of the AMCT Working Group will benefit the broad research community and improve the quality and translational impact of imaging in co-clinical trials.

Indexed as

NeoplasmsAnimalsDiagnostic ImagingDisease Models, AnimalHumansMiceanimal modelsbreast cancerco-clinical trialscolorectal cancerimaginglung cancermyelofibrosisosteosarcomapancreatic cancerprostate cancersarcoma

Identifiers

PMID36961012
PMCPMC10037611

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read46
identifiers read7
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.