Evidence map›Paper›PMID 41955510›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Early Detection and Inhibition of Post-Surgical Cancer Recurrence by Synthetic Extracellular Vesicles.

Junli Zhang, Wenjia Chang, Ruolin Hu, Peiyan Su, Qin Zhou, Yanan Li, Zhenzhong Zhang, Kaixiang Zhang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

8 authors.

Junli ZhangSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.
Wenjia ChangSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.
Ruolin HuSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.
Peiyan SuSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.
Qin ZhouInstitute of Biomedical Engineering, College of Life Sciences, Qingdao University, Qingdao, China.
Yanan LiSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.
Zhenzhong ZhangSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.
Kaixiang ZhangSchool of Pharmaceutical Sciences, Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, Zhengzhou University, Zhengzhou, China.ORCID https://orcid.org/0000-0002-6812-6342

Funding

Henan Provincial Key Research and Development Program 261111313300Henan Provincial Science and Technology Research and Development Plan Joint Fund 242301420077National Natural Science Foundation of China 22377110National Natural Science Foundation of China 82302649National Natural Science Foundation of China U23A20531Natural Science Foundation of Henan Province 252300421073State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer 2025SGAQZ-MS-03
6 · The paper itself

Abstract

Early detection of post-surgical cancer recurrence could improve patient survival. Endogenous biomarkers remain at the forefront of early detection efforts, but many lack the requisite sensitivity and specificity to effectively guide clinical management. Herein, we employed a synthetic biomarker approach by embedding a tumor specific promoter-driven synthetic extracellular vesicles (EVs)-generating system at the tumor resection site. This system reprograms tumor cells to secrete synthetic EVs expressing engineered miR-26a (E-miR-26a, a synthetic barcoding sequence) or PD-1 (a PD-L1-blocking agent), thereby achieving early detection and inhibition of post-surgical tumor recurrence. In a mouse model of post-resection tumor recurrence, we demonstrated that monitoring of E-miR-26a-expressing EVs in blood facilitated more timely detection of recurrence than bioluminescence imaging. We further validated that the strategy could detect tumors at early stage across mice with varying tumor burdens. Furthermore, PD-1-expressing EVs could bind to PD-L1 on tumor cells, thereby enhancing T cells activation and antitumor efficacy. Collectively, our findings provide an integrated strategy for the early detection and treatment of post-surgical tumor recurrence, with the potential to improve long-term outcomes for cancer patients.

Indexed as

Early Detection of CancerExtracellular VesiclesNeoplasm Recurrence, LocalAnimalsBiomarkers, TumorCell Line, TumorDisease Models, AnimalFemaleHumansMiceMicroRNAsBiomarkers, TumorMicroRNAscancer recurrenceearly detectionextracellular vesiclessynthetic biomarkers

Identifiers

PMID41955510
PMCPMC13317606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.