Evidence map›Paper›PMID 40457452›Full record

ArticleJournal of nanobiotechnology2025

In situ and dynamic screening of extracellular vesicles as predictive biomarkers in immune-checkpoint inhibitor therapies.

Yihe Wang, Yue Sun, Mengqi Liu, Chao Wang, Miao Huang, Jiaoyan Qiu, Ningkai Yang, Yu Zhang, Hong Liu, Lin Han

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Yihe WangInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Yue SunInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Mengqi LiuInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Chao WangInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Miao HuangInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Jiaoyan QiuInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Ningkai YangInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Yu ZhangInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China.
Hong LiuState Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China.
Lin HanInstitute of Marine Science and Technology, Shandong University, Tsingdao, 266237, P. R. China. hanlin@sdu.edu.cn.

Funding

Future Industries Cultivate Project-2022 Emerging Industries Cultivate Plan of Qingdao 22-3-4-xxgg-2-nshKey Technology Research and Development Program of Shandong Province 2021CXGC010603Key Technology Research and Development Program of Shandong Province 2022CXGC020501National Key Research and Development Program of China 2023YFB3210400National Natural Science Foundation of China 32001018National Natural Science Foundation of China 62174101
6 · The paper itself

Abstract

Extracellular vesicles (EVs) is promising in predicting the efficacy of immune checkpoint inhibitor (ICI) therapies. But it is challenging to determine the level of circulating EVs due to their variations in spatial and temporal distribution. To address this, we developed an in situ EV detection platform integrating multiplex EV capture with microfluidic-generated immune-tumor spheroids. This platform enables in situ monitoring of EV secretion dynamics under ICI and chemotherapeutic treatments, capturing localized and temporal changes in EV release. Using predictive models, we identified EVs carrying programmed cell death ligand 1 (PD-L1) as the most robust predictors of spheroid viability during treatment. RNA sequencing further revealed that dynamic EV expression changes are driven by gene transcription, providing a temporal understanding of EV regulation. Our platform overcomes the limitations of traditional methods by offering a physiologically relevant system to study EV-mediated immune responses. By addressing the spatial and temporal heterogeneity of EVs, this work advances EV-based biomarker discovery and provides a foundation for optimizing personalized immunotherapies.

Indexed as

Biomarkers, TumorExtracellular VesiclesImmune Checkpoint InhibitorsB7-H1 AntigenCell Line, TumorHumansImmunotherapyNeoplasmsSpheroids, CellularB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint InhibitorsExtracellular vesiclesImmune checkpoint inhibitorsMachine learningPD-L1Tumor spheroids

Identifiers

PMID40457452
PMCPMC12131400

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.