Evidence map›Paper›PMID 41689064›Full record

ReviewExperimental hematology & oncology2026

Methods and applications of patient-derived organoid models for immune microenvironment and immunotherapy research in multiple cancer types.

Yaya Yu, Yanan Li, Jiao Wang, Yanjuan Zhu, Zexin Zhang, Zhenzhen Xiao, Yadong Chen, Yanchun Qu, Ling Han, Haibo Zhang

Abstract readReview
In one paragraph

Review in Experimental hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yaya Yu *The Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. 13580346734@163.com.
Yanan Li *The Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiao WangThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yanjuan ZhuThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zexin ZhangThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhenzhen XiaoThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yadong ChenThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yanchun QuThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ling HanThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. linghan99@gzucm.edu.cn.
Haibo ZhangThe Second Clinical Medical College of Guangzhou, University of Chinese Medicine, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. haibozh@gzucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lack of pre-clinical models that simulate the complex TME and translate to human immunity is list as the top one challenge in the area of cancer immunotherapy development. While newly emerging organoid models play a crucial role in promoting the development of precision medicine in cancer immunotherapies. With the aid of experimental techniques and co-culture models of immuno-oncology, researchers have made progress in modeling tumor microenvironment (TME) with organoid-immune co-culture technologies to enhance the cellular complexity of the in vitro models, thus helping to improve existing immunotherapies, identify new immunotherapies and find reliable markers to predict the efficacy of immunotherapies for patients with cancer. In the review, we present an overview of the development of the different methods of three-dimensional (3D) patient-derived tumor organoids (PDTOs) modeling TME to study the interaction of tumor with cancer-associated fibroblasts (CAFs), lymphoid cells and myeloid immune cells. Besides, their methods and application in screening for efficacy of pharmacological immunotherapy and cellular immunotherapy in a personalized manner have also been summarized in the review. Moreover, we describe the applications of PDTOs modeling TME in specific cancer types and then summarize their contributions to the development of tumor immunity in different types of cancers. By centering on PDTOs' ability to capture individual tumor-immune biology, the review offers a comprehensive, personalized perspective of PDTO-immune co-culture models, making it a critical resource for researchers, clinicians, and drug developers aiming to advance precision immunotherapy.

Indexed as

CancerPatient-derived organoidsTumor microenvironment

Identifiers

PMID41689064
PMCPMC12922319

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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.