Evidence map›Paper›PMID 31121491›Full record

ReviewTranslational oncology2019

Cancer Immunotherapies and Humanized Mouse Drug Testing Platforms.

Qingfeng Chen, Jiaxu Wang, Wai Nam Liu, Yue Zhao

Abstract readReview
In one paragraph

Review in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  13. Proteinaceous Hydrogels for Bioengineering Advanced 3D Tumor Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  14. Advances in Research of Adult Gliomas.International journal of molecular sciences · 2021
    Review
  15. Spontaneous and Induced Animal Models for Cancer Research.Diagnostics (Basel, Switzerland) · 2020
    Review
  16. Article
  17. 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

4 authors.

Qingfeng ChenKey Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: qchen@imcb.a-star.edu.sg.
Jiaxu WangStem Cell and Regenerative Biology, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
Wai Nam LiuInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.
Yue ZhaoInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore. Electronic address: yzhao@imcb.a-star.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy is a type of treatment that restores and stimulates human immune system to inhibit cancer growth or eradicate cancer. It serves as one of the latest systemic therapies, which has been approved to treat different types of cancer in patients. Nevertheless, the clinical response rate is unsatisfactory and the response observed is mostly a partial response in patients. Despite the continuous improvement and identification of novel cancer immunotherapy, there is a pressing need to establish a robust platform to evaluate the efficacy and safety of pre-clinical drugs, simulate the interaction between patients' tumor and immune system, and predict patients' responses to the treatment. In this review, we summarize the pros and cons of existing immuno-oncology assay platforms, especially the humanized mouse models for the screening of cancer immunotherapy drugs. In addition, various emerging trends and progress of utilizing humanized mouse models as the screening tool are discussed. Of note, humanized mouse models can also be used for further development of personalized precision medicines to treat cancer. Collectively, these highlight the significance of humanized mouse models as the important platform for the screening of next generation cancer immunotherapy in vivo.

Identifiers

PMID31121491
PMCPMC6529825

What OpenQuestion holds

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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.