Evidence map›Paper›PMID 30963322›Full record

ReviewThe AAPS journal2019

CAR T Cell Immunotherapy in Human and Veterinary Oncology: Changing the Odds Against Hematological Malignancies.

Jonathan P Mochel, Stephen C Ekker, Chad M Johannes, Albert E Jergens, Karin Allenspach, Agnes Bourgois-Mochel, Michael Knouse, Sebastien Benzekry, Wesley Wierson, Amy K LeBlanc and 1 more

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in The AAPS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Racing CARs to veterinary immuno-oncology.Frontiers in veterinary science · 2023
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. 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

11 authors at 4 institutions in 2 countries.

Jonathan P MochelDepartment of Biomedical Sciences, Iowa State University, Ames, Iowa, 50011, USA. jmochel@iastate.edu.
Stephen C EkkerMayo Clinic Cancer Center Department of Biochemistry and Molecular Biology, Rochester, Minnesota, 55905, USA.
Chad M JohannesDepartment of Veterinary Clinical Sciences, Iowa State University, Ames, Iowa, 50011, USA.
Albert E JergensDepartment of Veterinary Clinical Sciences, Iowa State University, Ames, Iowa, 50011, USA.
Karin AllenspachDepartment of Veterinary Clinical Sciences, Iowa State University, Ames, Iowa, 50011, USA.
Agnes Bourgois-MochelDepartment of Veterinary Clinical Sciences, Iowa State University, Ames, Iowa, 50011, USA.
Michael KnouseDepartment of Biomedical Sciences, Iowa State University, Ames, Iowa, 50011, USA.
Sebastien BenzekryTeam MONC, Institut National de Recherche en Informatique et en Automatique, Bordeaux, France.
Wesley WiersonDepartment of Genetics, Development, and Cell Biology, Iowa State University, Ames, Iowa, 50011, USA.
Amy K LeBlancComparative Oncology Program, Center for Cancer Research National Cancer Institute, Bethesda, Maryland, 20892, USA.
Saad S KenderianDepartment of Medicine, Mayo Clinic Division of Hematology, Rochester, Minnesota, 55905, USA.
Iowa State University · USMayo Clinic · USCenter for Cancer Research · USCentre de Recherche en Informatique · FR

Funding

DNA TOPOISOMERASES AS TARGET OF ACTION OF ANTICANCER DRUGSZ01BC006161 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI POMMIER, YVES · 1996 to 2008
$1.5M
Comparative Oncology Trials ConsortiumZIGBC011689 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEBLANC, AMY · 2016 to 2025
$859k
NCI NIH HHS Z01 BC006161
6 · The paper itself

Abstract

The advent of the genome editing era brings forth the promise of adoptive cell transfer using engineered chimeric antigen receptor (CAR) T cells for targeted cancer therapy. CAR T cell immunotherapy is probably one of the most encouraging developments for the treatment of hematological malignancies. In 2017, two CAR T cell therapies were approved by the US Food and Drug Administration: one for the treatment of pediatric acute lymphoblastic leukemia (ALL) and the other for adult patients with advanced lymphomas. However, despite significant progress in the area, CAR T cell therapy is still in its early days and faces significant challenges, including the complexity and costs associated with the technology. B cell lymphoma is the most common hematopoietic cancer in dogs, with an incidence approaching 0.1% and a total of 20-100 cases per 100,000 individuals. It is a widely accepted naturally occurring model for human non-Hodgkin's lymphoma. Current treatment is with combination chemotherapy protocols, which prolong life for less than a year in canines and are associated with severe dose-limiting side effects, such as gastrointestinal and bone marrow toxicity. To date, one canine study generated CAR T cells by transfection of mRNA for CAR domain expression. While this was shown to provide a transient anti-tumor activity, results were modest, indicating that stable, genomic integration of CAR modules is required in order to achieve lasting therapeutic benefit. This commentary summarizes the current state of knowledge on CAR T cell immunotherapy in human medicine and its potential applications in animal health, while discussing the potential of the canine model as a translational system for immuno-oncology research.

Indexed as

AnimalsDisease Models, AnimalDogsHematologic NeoplasmsHumansImmunotherapy, AdoptiveMedical OncologyReceptors, Chimeric AntigenTreatment OutcomeVeterinary MedicineReceptors, Chimeric AntigenCAR T celllymphomaommuno-oncologyOne Health

Identifiers

PMID30963322
OpenAlexW2901953965

What OpenQuestion holds

Textmetadata
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.