Evidence map›Paper›PMID 40766981›Full record

Trial reportJournal of extracellular vesicles2025

Extracellular Vesicle Protein Panel Enables Early Lung Cancer Detection in a Large Clinical Cohort.

Linxiao Han, Yuanlin Song, Lin Tong, Jiayuan Sun, Xiaoju Zhang, Shujing Chen, Ying Li, Ziqi Wang, Lei Gao, Qiaoliang Zhu and 12 more

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of extracellular vesicles, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
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  8. Review
  9. Review
  10. Article
  11. Smart nanoplatforms for early detection and immune modulation in lung cancer.Frontiers in bioengineering and biotechnology · 2025
    Review
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

22 authors.

Linxiao HanDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Yuanlin SongDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Lin TongDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiayuan SunDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Xiaoju ZhangDepartment of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Shujing ChenDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Ying LiDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Ziqi WangDepartment of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Lei GaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiaoliang ZhuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yencheng ChaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaocen WangDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Ge ZhangDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Wensi ZhuDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Ludan HeDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Jie LiuDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Qin WangDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Zuoren WuHangzhou Dixiang Co. Ltd., Hangzhou, China.
Yuanyuan JiHangzhou Dixiang Co. Ltd., Hangzhou, China.
Chunxue BaiDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiuzhen LvHangzhou Dixiang Co. Ltd., Hangzhou, China.
Jian ZhouDepartment of Pulmonary and Critical Care Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-4736-9457

Funding

National Key Research and Development Program of China 2022YFA0806200National Key Research and Development Program of China 2023YFC3504300National Natural Science Foundation of China 82070045National Natural Science Foundation of China 82270040National Natural Science Foundation of China 82470069Science and Technology Commission of Shanghai Municipality 20DZ2254400Science and Technology Commission of Shanghai Municipality 20DZ2261200Science and Technology Commission of Shanghai Municipality 21DZ2200600Shanghai Municipal Key Clinical Specialty shslczdzk02201Shanghai Municipal Science and Technology Major Project ZD2021CY001
6 · The paper itself

Abstract

The early detection and diagnosis of lung cancer through extracellular vesicle (EV)-based liquid biopsy show substantial promise for enhancing clinical outcomes. Nonetheless, there is a scarcity of large-scale clinical investigations validating EV-based liquid biopsy. To evaluate the EV membrane protein panel as a diagnostic tool for early-stage cancer detection and validate its efficacy and clinical applicability, a cohort comprised of 302 individuals without cancer and 645 with lung cancer was recruited. Participants were randomly divided into training and validation cohorts at a 1:1 ratio while maintaining the proportion of different subtypes. A diagnostic panel (EV early lung cancer membrane protein 5, EV

Indexed as

Biomarkers, TumorEarly Detection of CancerExtracellular VesiclesLung NeoplasmsAdultAgedCohort StudiesFemaleHumansLiquid BiopsyMaleMembrane ProteinsMiddle AgedBiomarkers, TumorMembrane Proteins

Identifiers

PMID40766981
PMCPMC12326191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.