Evidence map›Paper›PMID 37402992›Full record

ReviewNature reviews. Immunology2024

Harnessing 3D in vitro systems to model immune responses to solid tumours: a step towards improving and creating personalized immunotherapies.

Zhenzhen Zhou, Yuan Pang, Jingyuan Ji, Jianyu He, Tiankun Liu, Liliang Ouyang, Wen Zhang, Xue-Li Zhang, Zhi-Gang Zhang, Kaitai Zhang and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. On the Edge of Benefit and Harm: Reactive Oxygen Species in Cancer.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Trained immunity in respiratory diseases: Mechanisms of action and intervention strategies.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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.

Zhenzhen ZhouBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
Yuan PangBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China. pangyuan31@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3205-0830
Jingyuan JiBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
Jianyu HeBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
Tiankun LiuBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
Liliang OuyangBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
Wen ZhangDepartment of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing, China.ORCID http://orcid.org/0000-0003-3150-2751
Xue-Li ZhangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhi-Gang ZhangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Kaitai ZhangState Key Laboratory of Molecular Oncology, Department of Aetiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing, China.
Wei SunBiomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China. sunwei@drexel.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro 3D models are advanced biological tools that have been established to overcome the shortcomings of oversimplified 2D cultures and mouse models. Various in vitro 3D immuno-oncology models have been developed to mimic and recapitulate the cancer-immunity cycle, evaluate immunotherapy regimens, and explore options for optimizing current immunotherapies, including for individual patient tumours. Here, we review recent developments in this field. We focus, first, on the limitations of existing immunotherapies for solid tumours, secondly, on how in vitro 3D immuno-oncology models are established using various technologies - including scaffolds, organoids, microfluidics and 3D bioprinting - and thirdly, on the applications of these 3D models for comprehending the cancer-immunity cycle as well as for assessing and improving immunotherapies for solid tumours.

Indexed as

NeoplasmsAnimalsDisease Models, AnimalHumansImmunityImmunotherapyMiceOrganoids

Identifiers

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.