Evidence map›Paper›PMID 38339316›Full record

ReviewCancers2024

Patient-Derived Models of Cancer in the NCI PDMC Consortium: Selection, Pitfalls, and Practical Recommendations.

Amber N Habowski, Deepthi P Budagavi, Sandra D Scherer, Arin B Aurora, Giuseppina Caligiuri, William F Flynn, Ellen M Langer, Jonathan R Brody, Rosalie C Sears, Giorgia Foggetti and 15 more

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

25 authors.

Amber N HabowskiCold Spring Harbor Laboratory, Long Island, NY 11724, USA.ORCID 0000-0003-1107-3208
Deepthi P BudagaviCold Spring Harbor Laboratory, Long Island, NY 11724, USA.
Sandra D SchererDepartment of Oncologic Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0002-7943-8595
Arin B AuroraChildren's Research Institute and Department of Pediatrics, University of Texas Southwestern, Dallas, TX 75235, USA.
Giuseppina CaligiuriCold Spring Harbor Laboratory, Long Island, NY 11724, USA.
William F FlynnJackson Laboratory, Farmington, CT 06032, USA.
Ellen M LangerDivision of Oncological Sciences, Oregon Health & Science University, Portland, OR 97239, USA.
Jonathan R BrodyDepartment of Surgery, Oregon Health & Science University, Portland, OR 97239, USA.
Rosalie C SearsDepartment of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0000-0003-1558-2413
Giorgia FoggettiOspedale San Raffaele, 20054 Milano, Italy.ORCID 0000-0003-1844-1413
Anna Arnal EstapeDepartment of Internal Medicine, Yale University, New Haven, CT 06520, USA.ORCID 0000-0003-0490-7040
Don X NguyenDepartment of Pathology, Yale University, New Haven, CT 06520, USA.
Katerina A PolitiDepartment of Pathology, Yale University, New Haven, CT 06520, USA.
Xiling ShenTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
David S HsuDepartment of Medicine, Duke University, Durham, NC 27710, USA.
Donna M PeehlDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158, USA.
John KurhanewiczDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158, USA.ORCID 0000-0002-3544-5339
Renuka SriramDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158, USA.ORCID 0000-0003-3505-2479
Milagros SuarezDepartment of Pediatrics, Lurie Children's Hospital of Chicago Northwestern University, Chicago, IL 60611, USA.
Sophie XiaoDepartment of Pediatrics, Lurie Children's Hospital of Chicago Northwestern University, Chicago, IL 60611, USA.
Yuchen DuDepartment of Pediatrics, Lurie Children's Hospital of Chicago Northwestern University, Chicago, IL 60611, USA.
Xiao-Nan LiDepartment of Pediatrics, Lurie Children's Hospital of Chicago Northwestern University, Chicago, IL 60611, USA.
Nora M NavoneDepartment of Genitourinary Medical Oncology, David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-8645-6890
Estefania LabancaDepartment of Genitourinary Medical Oncology, David H. Koch Center for Applied Research of Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Christopher D WilleyDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.ORCID 0000-0001-9953-0279

Funding

Patient-Derived Models of Prostate Cancer for Personalized MedicineU01CA224044 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, YU, FUTREAL, PHILLIP ANDREW · 2019 to 2023
$5.1M
Glioblastoma tumor microenvironmental influence on acquired and inherent cancer therapy resistance.U01CA223976 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CHEN, JAKE YUE, CUI, XIANGQIN · 2018 to 2022
$4.8M
CSHL-JAX Patient-Derived Models of Pancreatic Cancer as Systems for Investigating Tumor HeterogeneityU01CA224013 · NCI · COLD SPRING HARBOR LABORATORY · PI ROBSON, PAUL, TUVESON, DAVID A · 2018 to 2022
$4.2M
Longitudinal models of breast cancer for studying mechanisms of therapy response and resistanceU01CA217617 · NCI · UNIVERSITY OF UTAH · PI MARTH, GABOR T, VARLEY, KATHERINE ELENA · 2018 to 2022
$4.2M
Uncovering the Biology of Resistance to Tyrosine Kinase Inhibitors in EGFR Mutant Lung Cancer Patient-Derived Models.U01CA235747 · NCI · YALE UNIVERSITY · PI NGUYEN, DON X, POLITI, KATERINA ABIGAIL · 2019 to 2023
$3.9M
Metabolic imaging comparisons of patient-derived models of renal cell carcinomaU01CA217456 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KURHANEWICZ, JOHN, PEEHL, DONNA M. · 2017 to 2021
$3.2M
Epigenomic Reprogramming in Patient Derived Models of Colorectal CancerU01CA217514 · NCI · DUKE UNIVERSITY · PI HSU, SHIAOWEN DAVID · 2018 to 2022
$3.1M
Comparative analysis between patient-derived models of pancreatic ductal adenocarcinomas and matched tumor specimensU01CA224012 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BRODY, JONATHAN, COUSSENS, LISA M. · 2019 to 2023
$2.9M
The Metabolic Regulation of Melanoma MetastasisU01CA228608 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MORRISON, SEAN J · 2019 to 2023
$2.9M
Matching panels of in vivo and in vitro model system of pediatric brain tumorsU01CA217613 · NCI · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI LI, XIAONAN · 2020 to 2024
$2.9M
NCI NIH HHS U01 CA217456NCI NIH HHS U01CA217456NCI NIH HHS U01 CA217514NCI NIH HHS U01CA217514NCI NIH HHS U01 CA217613NCI NIH HHS U01CA217613NCI NIH HHS U01 CA217617NCI NIH HHS U01CA217617NCI NIH HHS U01 CA223976NCI NIH HHS U01CA223976NCI NIH HHS U01 CA224012NCI NIH HHS U01CA224012NCI NIH HHS U01 CA224013NCI NIH HHS U01CA224013NCI NIH HHS U01 CA224044NCI NIH HHS U01CA224044NCI NIH HHS U01 CA228608NCI NIH HHS U01CA228608NCI NIH HHS U01 CA235747NCI NIH HHS U01CA235747
6 · The paper itself

Abstract

For over a century, early researchers sought to study biological organisms in a laboratory setting, leading to the generation of both in vitro and in vivo model systems. Patient-derived models of cancer (PDMCs) have more recently come to the forefront of preclinical cancer models and are even finding their way into clinical practice as part of functional precision medicine programs. The PDMC Consortium, supported by the Division of Cancer Biology in the National Cancer Institute of the National Institutes of Health, seeks to understand the biological principles that govern the various PDMC behaviors, particularly in response to perturbagens, such as cancer therapeutics. Based on collective experience from the consortium groups, we provide insight regarding PDMCs established both in vitro and in vivo, with a focus on practical matters related to developing and maintaining key cancer models through a series of vignettes. Although every model has the potential to offer valuable insights, the choice of the right model should be guided by the research question. However, recognizing the inherent constraints in each model is crucial. Our objective here is to delineate the strengths and limitations of each model as established by individual vignettes. Further advances in PDMCs and the development of novel model systems will enable us to better understand human biology and improve the study of human pathology in the lab.

Indexed as

metastasismouse modelsorganoidspatient derived models of cancersequencingtumor cellstumor microenvironment

Identifiers

PMID38339316
PMCPMC10854945

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Registered trials

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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.