ArticleInternational journal of molecular sciences2020
Proteomic Approach for Searching for Universal, Tissue-Specific, and Line-Specific Markers of Extracellular Vesicles in Lung and Colorectal Adenocarcinoma Cell Lines.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Integrated meta-analysis of colorectal cancer public proteomic datasets for biomarker discovery and validation.PLoS computational biology · 2024Pooled it
- Intraindividual variability of semen quality, proteome, and sncRNA profiles in a healthy cohort of young adults.Andrology · 2025Article
- CD147 regulates the Rap1 signaling pathway to promote proliferation, migration, and invasion, and inhibit apoptosis in colorectal cancer cells.Scientific reports · 2025Article
- Secretome and Proteome of Extracellular Vesicles Provide Protein Markers of Lung and Colorectal Cancer.International journal of molecular sciences · 2025Article
- Exosomal proteins: new targets for early diagnosis and treatment of cancer.Frontiers in immunology · 2025Review
- The Impact of Glycosylation on the Functional Activity of CD133 and the Accuracy of Its Immunodetection.Biology · 2024Review
- Proteomic Signature of Extracellular Vesicles Associated with Colorectal Cancer.Molecules (Basel, Switzerland) · 2023Article
- The updated role of exosomal proteins in the diagnosis, prognosis, and treatment of cancer.Experimental & molecular medicine · 2022Review
- Lactadherin: From a Well-Known Breast Tumor Marker to a Possible Player in Extracellular Vesicle-Mediated Cancer Progression.International journal of molecular sciences · 2022Review
- Proteomic Signature of Extracellular Vesicles for Lung Cancer Recognition.Molecules (Basel, Switzerland) · 2021Article
- Review
- Progress on pivotal role and application of exosome in lung cancer carcinogenesis, diagnosis, therapy and prognosis.Molecular cancer · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Tumor-derived extracellular vesicles (EVs), including exosomes, contain proteins that mirror the molecular landscape of producer cells. Being potentially detectible in biological fluids, EVs are of great interest for the screening of cancer biomarkers. To reveal universal, tissue-specific, and line-specific markers, we performed label-free mass spectrometric profiling of EVs originating from the human colon cancer cell lines Caco-2, HT29, and HCT-116, as well as from the lung cancer cell lines NCI-H23 and A549. A total of 651 proteins was identified in the EV samples using at least two peptides. These proteins were highly enriched in exosome markers. We found 11 universal, eight tissue-specific, and 29 line-specific markers, the levels of which were increased in EVs compared to the whole lysates. The EV proteins were involved in the EGFR, Rap1, integrin, and microRNA signaling associated with metastasis and cancer progression. An EV protein-based assay could be developed as a liquid biopsy tool.
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Registered trials
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.