Evidence map›Paper›PMID 40693605›Full record

ArticleJournal of extracellular vesicles2025

Proteomic Analysis of Extracellular Vesicles Identifies CDCP1 as Critical Metastasis-Related Glycoprotein in Lung Cancer.

Lu Zhang, Yan Wu, Suntao Li, Miao Guo, Jiaqi Zhao, Chengxi Cao, Yan Zhang, Hua Xiao

Abstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Macrophage-Derived Extracellular Vesicles Deliver Progranulin to Alleviate Skin Wound Fibrosis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Article
  3. Review
  4. 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

8 authors.

Lu ZhangState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yan WuState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Suntao LiState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0009-0004-9536-1702
Miao GuoState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Jiaqi ZhaoState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Chengxi CaoDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yan ZhangShanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China.
Hua XiaoState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0002-2831-0436

Funding

Key Scientific Project of Shanghai Jiao Tong University No. TMSK-2020-130National Natural Science Foundation of China No. 21675110National Natural Science Foundation of China No. 22374098Natural Science Foundation of Shanghai Municipality No. 19ZR1427800Natural Science Foundation of Shanghai Municipality No. 21ZR1433200Natural Science Foundation of Shanghai Municipality No. 23ZR1434200
6 · The paper itself

Abstract

Lung cancer is the most prevalent malignancy worldwide, with the majority of fatalities attributed to metastasis. Recent studies have demonstrated the pivotal role of extracellular vesicles (EVs) and glycoproteins in tumor progression. In this study, we compared the glycoproteome of EVs from 95C (low metastatic) and 95D (high metastatic) lung cancer cells to discover key targets in metastasis. Through coupling lectin affinity chromatography with quantitative proteomics, 1562 glycoproteins were identified. Compared to 95C EVs, 23 glycoproteins were significantly upregulated more than 20-fold in 95D EVs, including CDCP1, TNC, NCAM2, and ITGA4. CUB-domain containing protein 1 (CDCP1) was upregulated 143-fold in 95D EVs, which is significantly correlated with poor prognosis of lung cancer patients in the TCGA database. We subsequently performed site-specific glycoform profiling of CDCP1 using intact glycopeptide enrichment. Then we generated CDCP1 knockout (KO) 95D cell lines and revealed that the absence of CDCP1 reduced cell migration ability, which was also confirmed by EVs and cell co-culture experiments. We further performed Ti

Indexed as

Antigens, NeoplasmCell Adhesion MoleculesExtracellular VesiclesGlycoproteinsLung NeoplasmsCell Line, TumorCell MovementDisease ProgressionGene Expression Regulation, NeoplasticGlycosylationHumansNeoplasm MetastasisProteomicsSignal TransductionAntigens, NeoplasmCDCP1 protein, humanCell Adhesion MoleculesGlycoproteinsCDCP1extracellular vesiclesglycoproteomicslung cancermetastasis

Identifiers

PMID40693605
PMCPMC12281461

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.