Evidence map›Paper›PMID 42559418›Full record

ArticleTheranostics2026

A miniaturized-tumor culture platform for developing anti-tumor immunotherapies.

Yangyang Feng, Ling Li, Josh Haipeng Lei, Yuzhong Peng, Lijian Wang, Heng Sun, Dongyang Tang, Xinyu Guo, Xiangpeng Chu, Yunfeng Qiao and 10 more

Abstract read
In one paragraph

Article in Theranostics, 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

20 authors.

Yangyang FengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Ling LiCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Josh Haipeng LeiCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Yuzhong PengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Lijian WangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Heng SunCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Dongyang TangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Xinyu GuoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Xiangpeng ChuCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Yunfeng QiaoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Kai MiaoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Wen-Li ZhuKiang Wu Hospital, Macau SAR 999078, China.
Chon-Wa LamKiang Wu Hospital, Macau SAR 999078, China.
Kin-Iong ChanKiang Wu Hospital, Macau SAR 999078, China.
Wai-Kuok ChuKiang Wu Hospital, Macau SAR 999078, China.
Shi-Xian YaoKiang Wu Hospital, Macau SAR 999078, China.
Wei-Jian HouKiang Wu Hospital, Macau SAR 999078, China.
Xiaoling XuCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.
Zheng ChenDepartment of Gastrointestinal Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China.
Chu-Xia DengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR 999078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: The preservation of the tumor immune microenvironment (TIME) Methods: To build the MTC platform, we took tumor tissues from both mouse models and human patients. We processed these tissues into 100-500 μm fragments. Supplementation with IL-2 and IL-7 in culture maintained long-term intra-tumoral T cell survival. We then evaluated whether the platform could maintain autologous lymphoid populations and respond to immune checkpoint blockade (ICB), through co-culture assays with peripheral blood mononuclear cells (PBMCs) or splenocytes. The system accurately recapitulates drug response and resistance in both immunocompetent and immunodeficient models. Finally, we screened a high-throughput drug library to identify agents that re-sensitize tumors to anti-PD-L1 therapy. To figure out the underlying mechanisms, we used bulk RNA-sequencing, flow cytometry, and targeted CXCL13 antibody neutralization. Results: The MTC platform demonstrated better preservation of autologous lymphoid populations and remained responsive to ICB. Co-culture assays revealed enhanced immune cell infiltration upon ICB treatment. Furthermore, the MTC models recapitulated drug response and resistance phenotypes. Our screen identified axitinib (AXI) as the most potent agent for re-sensitizing tumors to anti-PD-L1 therapy across different cancer types. Mechanistically, AXI potentiates antigen presentation in tumor and dendritic cells. It also enhances cytotoxic T-cell function via the upregulation of CXCL13. Finally, CXCL13 blockade effectively abrogated AXI-induced T cell recruitment and tumor regression. Conclusions: The MTC platform serves as a high-fidelity, high-throughput tool for modeling the TIME. It provides a valuable framework for developing novel anti-cancer strategies and elucidating their underlying mechanisms of action.

Indexed as

ImmunotherapyNeoplasmsAnimalsCoculture TechniquesHigh-Throughput Screening AssaysHumansImmune Checkpoint InhibitorsLeukocytes, MononuclearMiceMiniaturizationT-LymphocytesTumor MicroenvironmentImmune Checkpoint Inhibitorscombination immunotherapyhigh-throughput drug screeningimmune checkpoint blockademiniaturized-tumor culturetumor immune microenvironment

Identifiers

PMID42559418
PMCPMC13440502

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.