ArticleScientific reports2019
EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Diagnostic value of exosomal noncoding RNA in lung cancer: a meta-analysis.Frontiers in oncology · 2024Pooled it
- High diagnostic value of miRNAs for NSCLC: quantitative analysis for both single and combined miRNAs in lung cancer.Annals of medicine · 2021Pooled it
- Review
- MicroRNA expression in pleural fluid as a diagnostic biomarker of malignant pleural effusion: promise, pragmatism, and the path forward.Translational lung cancer research · 2025Article
- Deep Learning-Driven Multimodal Integration of miRNA and Radiomic for Lung Cancer Diagnosis.Biosensors · 2025Review
- Potential utility of miRNAs derived from pleural fluid extracellular vesicles to differentiate between benign and malignant pleural effusions.Translational lung cancer research · 2025Article
- A novel approach in the identification of microRNAs in malignant pleural effusion for lung cancer diagnosis.Oncology reviews · 2025Review
- Plasma Small Extracellular Vesicle microRNAs as Non-Invasive Biomarkers for Lung Cancer Detection.International journal of nanomedicine · 2025Article
- Exosome-Derived miRNAs in Liquid Biopsy for Lung Cancer.Life (Basel, Switzerland) · 2024Review
- The role of the hematopoietic stem/progenitor cells-derived extracellular vesicles in hematopoiesis.Heliyon · 2024Article
- The Circulating Biomarkers League: Combining miRNAs with Cell-Free DNAs and Proteins.International journal of molecular sciences · 2024Review
- Automatic recording of rare behaviors of wild animals using video bio-loggers with on-board light-weight outlier detector.PNAS nexus · 2024Article
- Article
- Role of extracellular vesicles in severe pneumonia and sepsis.Expert opinion on biological therapy · 2022Review
- Emerging function and clinical significance of extracellular vesicle noncoding RNAs in lung cancer.Molecular therapy oncolytics · 2022Review
- Exosomes in cancer immunoediting and immunotherapy.Asian journal of pharmaceutical sciences · 2022Review
- Application of Non-Blood-Derived Fluid Biopsy in Monitoring Minimal Residual Diseases of Lung Cancer.Frontiers in surgery · 2022Review
- Review
- Exosome-Derived microRNA: Efficacy in Cancer.Cureus · 2021Review
- Diving into the Pleural Fluid: Liquid Biopsy for Metastatic Malignant Pleural Effusions.Cancers · 2021Review
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is the leading cause of cancer-related deaths among men and women in the world, accounting for the 25% of cancer mortality. Early diagnosis is an unmet clinical issue. In this work, we focused to develop a novel approach to identify highly sensitive and specific biomarkers by investigating the use of extracellular vesicles (EVs) isolated from the pleural lavage, a proximal fluid in lung cancer patients, as a source of potential biomarkers. We isolated EVs by ultracentrifuge method from 25 control pleural fluids and 21 pleural lavages from lung cancer patients. Analysis of the expression of EV-associated miRNAs was performed using Taqman OpenArray technology through which we could detect 288 out of the 754 miRNAs that were contained in the OpenArray. The differential expression analysis yielded a list of 14 miRNAs that were significantly dysregulated (adj. p-value < 0.05 and logFC lower or higher than 3). Using Machine Learning approach we discovered the lung cancer diagnostic biomarkers; miRNA-1-3p, miRNA-144-5p and miRNA-150-5p were found to be the best by accuracy. Accordance with our finding, these miRNAs have been related to cancer processes in previous studies. This results opens the avenue to the use of EV-associated miRNA of pleural fluids and lavages as an untapped source of biomarkers, and specifically, identifies miRNA-1-3p, miRNA-144-5p and miRNA 150-5p as promising biomarkers of lung cancer diagnosis.
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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.