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2023 World Conference on Lung Cancer (Posters)
EP07.04. Free Circulating and Extracellular Vesicl ...
EP07.04. Free Circulating and Extracellular Vesicles-Derived microRNA as Prognostic Biomarkers in Resected Early-Stage NSCLC: RESTING Study Results - PDF(Abstract)
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This study aimed to investigate the prognostic potential of free circulating (FC) and extracellular vesicles (EVs)-derived microRNA (miRNAs) as biomarkers in early-stage non-small cell lung cancer (NSCLC). The study enrolled 222 patients with stage IA-IIIA NSCLC and analyzed their peripheral blood samples for plasma collection. MiRNA-specific libraries were prepared and sequenced, and the data were normalized. Three models were specified to assess the predictive performance of the miRNA data, known prognostic factors (PFs), and a combination of both. Separate analyses for FC and EV-derived miRNA were performed. <br /><br />The results showed that three FC-miRNAs and 21 EV-miRNAs were associated with disease-free survival (DFS). After including the PFs into the model, two FC-miRNAs (miR-29c-3p and miR-877-3p) and five EV-miRNAs (miR-181a-2-3p, miR-182-5p, miR-192-5p, miR-532-3p, and miR-589-5p) remained associated with prognosis. The model combining EV-miRNAs and PFs showed similar discriminatory and stratification capacity as compared to the PFs only model.<br /><br />The study concluded that two FC-miRNAs and five EV-miRNAs have a potential role in identifying early-stage NSCLC patients with a higher risk of relapse or death after surgery. These findings suggest that miRNAs could serve as non-invasive, quick, and low-cost biomarkers to better identify patients with a more aggressive disease and assist clinicians in making therapeutic decisions. The study was supported by ERA-NET TRANSCAN-2 (JTC 2016)-RESTING project.
Asset Subtitle
Paola Ulivi
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Speaker
Paola Ulivi
Topic
Early-Stage NSCLC: Progress in Pathology
Keywords
prognostic potential
free circulating miRNAs
extracellular vesicles
biomarkers
early-stage non-small cell lung cancer
disease-free survival
predictive performance
known prognostic factors
miRNA data
surgical outcomes
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