Evidence map›Paper›PMID 41161818›Full record

ReviewJournal for immunotherapy of cancer2025

Preclinical ex vivo and in vivo models to study immunotherapy agents and their combinations as predictive tools toward the clinic.

Iñaki Eguren-Santamaria, Ignacio Melero, Inmaculada Rodríguez, Ignacio Ortego, María Armero, Felipe Galvez-Cancino, Alvaro López-Janeiro, Carlos E De Andrea, Miguel F Sanmamed

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

9 authors.

Iñaki Eguren-SantamariaImmunology and Immunotherapy, Clinica Universidad de Navarra Centro de Investigacion Medica Aplicada, Pamplona, Navarre, Spain.ORCID http://orcid.org/0000-0003-1581-3728
Ignacio MeleroImmunology and Immunotherapy, Clinica Universidad de Navarra Centro de Investigacion Medica Aplicada, Pamplona, Navarre, Spain msanmamed@unav.es imelero@unav.es.ORCID http://orcid.org/0000-0002-1360-348X
Inmaculada RodríguezImmunology and Immunotherapy, Clinica Universidad de Navarra Centro de Investigacion Medica Aplicada, Pamplona, Navarre, Spain.
Ignacio OrtegoDepartment of Oncology, Clinica Universidad de Navarra Cancer Center, Pamplona, Navarre, Spain.
María ArmeroImmune Regulation and Immune Interactions Group, Centre for Immuno-Oncology, University of Oxford Nuffield Department of Medicine, Oxford, UK.
Felipe Galvez-CancinoImmune Regulation and Immune Interactions Group, Centre for Immuno-Oncology, University of Oxford Nuffield Department of Medicine, Oxford, UK.
Alvaro López-JaneiroDepartment of Pathology, Clinica Universidad de Navarra Cancer Center, Pamplona, Navarre, Spain.ORCID http://orcid.org/0000-0002-5744-3115
Carlos E De AndreaIdiSNA, Pamplona, Navarre, Spain.
Miguel F SanmamedImmunology and Immunotherapy, Clinica Universidad de Navarra Centro de Investigacion Medica Aplicada, Pamplona, Navarre, Spain msanmamed@unav.es imelero@unav.es.ORCID http://orcid.org/0000-0002-7295-6074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Almost every successful anticancer treatment has been preceded by preclinical scientific breakthroughs that encouraged clinical development. However, therapeutic strategies showing promising preclinical results often fail to confirm activity in clinical trials, particularly in immunotherapy. There are well-known inherent interspecies differences between human and rodent immunobiology. Moreover, human cancers progressively develop in nature over long periods, while preclinical models are deployed under controlled laboratory conditions. This translates into a suboptimal recapitulation of key features of human cancer, such as the marked interindividual differences, intercellular heterogeneity, and the immunoediting effects of chronic immunosurveillance. This review summarizes the current evidence of preclinical experimental models and research tools for cancer immunotherapy applications, with a focus on the incorporation of human sample-based methodologies, both ex vivo and in vivo using humanized mouse models. Methods to exploit highly valuable human specimens in preclinical research are called to bridge the gap between discovery observations in conventional mouse models and efficacy/safety tests in clinical trials. Novel immunotherapy agents and their combinations can be prioritized based on their effects on in vitro patient-derived tumor culture modalities or on as-perfect-as-feasible humanized mouse models bearing human tumor and immune cells. The ultimate goal is to reliably test immunotherapy interventions and reduce eventual clinical failures by means of preclinically prioritizing the best approaches.

Indexed as

ImmunotherapyNeoplasmsAnimalsDisease Models, AnimalHumansMicebiomarkercombination therapyimmune checkpoint inhibitorimmunotherapytumor microenvironment - TME

Identifiers

PMID41161818
PMCPMC12574409

What OpenQuestion holds

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LicenceCC BY-NC
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.