Evidence map›Paper›PMID 32526987›Full record

ReviewInternational journal of molecular sciences2020

Mouse Tumor Models for Advanced Cancer Immunotherapy.

Daria S Chulpanova, Kristina V Kitaeva, Catrin S Rutland, Albert A Rizvanov, Valeriya V Solovyeva

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
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  8. Murine Models of Obesity-Related Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2025
    Review
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15 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Daria S ChulpanovaInstitute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia.ORCID 0000-0001-5546-840X
Kristina V KitaevaInstitute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia.
Catrin S RutlandFaculty of Medicine and Health Sciences, University of Medicine, Nottingham NG7 2HA, UK.ORCID 0000-0002-2009-4898
Albert A RizvanovInstitute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia.ORCID 0000-0002-9427-5739
Valeriya V SolovyevaInstitute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia.
Kazan Federal University · RUUniversity of Nottingham · GB

Funding

Russian Foundation for Basic Research 18-34-00738
6 · The paper itself

Abstract

Recent advances in the development of new methods of cancer immunotherapy require the production of complex cancer animal models that reliably reflect the complexity of the tumor and its microenvironment. Mice are good animals to create tumor models because they are low cost, have a short reproductive cycle, exhibit high tumor growth rates, and can be easily genetically modified. However, the obvious problem of these models is the high failure rate observed in human clinical trials after promising results obtained in mouse models. In order to increase the reliability of the results obtained in mice, the tumor model should reflect the heterogeneity of the tumor, contain components of the tumor microenvironment, in particular immune cells, to which the action of immunotherapeutic drugs are directed. This review discusses the current immunocompetent and immunocompromised mouse models of human tumors that are used to evaluate the effectiveness of immunotherapeutic agents, in particular chimeric antigen receptor (CAR) T-cells and immune checkpoint inhibitors.

Indexed as

AnimalsCarcinogensHumansImmunocompromised HostImmunotherapyIsograftsMiceMice, Mutant StrainsMice, TransgenicNeoplasms, ExperimentalXenograft Model Antitumor AssaysCarcinogenscancer immunotherapycancer mouse modelsCAR T-cell therapyimmune checkpoint inhibitors

Identifiers

PMID32526987
PMCPMC7312663
OpenAlexW3035471293

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.