Evidence map›Paper›PMID 39990135›Full record

ReviewJTO clinical and research reports2025

Humanized Mouse Models for Immuno-Oncology Research: A Review and Implications in Lung Cancer Research.

Cheol-Kyu Park, Maryam Khalil, Nhu-An Pham, Stephanie Wong, Dalam Ly, Adrian Sacher, Ming-Sound Tsao

Erratum issuedAbstract readReview
In one paragraph

Review in JTO clinical and research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  4. Article
  5. Article
  6. Choosing the right animal model for sarcoma research.Cellular and molecular life sciences : CMLS · 2026
    Review
  7. Article
  8. Review
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  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Cheol-Kyu ParkPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Maryam KhalilPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Nhu-An PhamPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Stephanie WongPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Dalam LyPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Adrian SacherPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy has brought significant clinical benefits to patients with cancer, including those with lung cancer. Patient-derived tumor xenograft mouse models have become the preferred animal model for translational cancer research and preclinical studies. Given the unmet need for improved predictive models in immuno-oncology, humanized mouse models which are co-engrafted with both human tumors and immune system components have been used to investigate novel immunotherapeutics. These models have similarly been used to predict immune-related adverse events and to develop predictive biomarkers. This review summarizes key concepts related to humanized mouse models. We highlight the various approaches to generate them, factors that are critical to successfully establishing such models, their respective limitations, and considerations in model selection for preclinical lung cancer immuno-oncology research and therapeutic studies.

Indexed as

Humanized mouse modelsImmunotherapyLung cancerPatient-derived xenograft

Identifiers

PMID39990135
PMCPMC11847118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.