Evidence map›Paper›PMID 37016422›Full record

ReviewJournal of experimental & clinical cancer research : CR2023

Newly developed 3D in vitro models to study tumor-immune interaction.

Peiyuan Mu, Shujuan Zhou, Tao Lv, Fan Xia, Lijun Shen, Juefeng Wan, Yaqi Wang, Hui Zhang, Sanjun Cai, Junjie Peng and 2 more

Abstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  15. Modeling CAF-tumor interactions to overcome therapy resistance.Journal of experimental & clinical cancer research : CR · 2026
    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

12 authors.

Peiyuan Mu *Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Shujuan Zhou *Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Tao LvDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Fan XiaDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Lijun ShenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Juefeng WanDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yaqi WangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Hui ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Sanjun CaiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Junjie PengDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Guoqiang HuaDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. guoqianghua@fudan.edu.cn.
Zhen ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. zhen_zhang@fudan.edu.cn.

Funding

Guangzhou Shared Future Foundation HYXH2021061Science and Technology Commission of Shanghai Municipality, China 21Y21900200Shanghai Anticancer Association HYXH2021096
6 · The paper itself

Abstract

Immunotherapy as a rapidly developing therapeutic approach has revolutionized cancer treatment and revitalized the field of tumor immunology research. 3D in vitro models are emerging as powerful tools considering their feature to maintain tumor cells in a near-native state and have been widely applied in oncology research. The novel 3D culture methods including the co-culture of organoids and immune cells, ALI culture, 3D-microfluidic culture and 3D-bioprinting offer new approaches for tumor immunology study and can be applied in many fields such as personalized treatment, immunotherapy optimizing and adoptive cell therapy. In this review, we introduce commonly used 3D in vitro models and summarize their applications in different aspects of tumor immunology research. We also provide a preliminary analysis of the current shortcomings of these models and the outlook of future development.

Indexed as

NeoplasmsCoculture TechniquesHumansImmunotherapyMedical OncologyOrganoidsTumor Microenvironment3D modelImmunotherapyOrganoidTumor microenvironment

Identifiers

PMID37016422
PMCPMC10074642

What OpenQuestion holds

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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.