Observational studyJournal of experimental & clinical cancer research : CR2024
Circulating cell-free and extracellular vesicles-derived microRNA as prognostic biomarkers in patients with early-stage NSCLC: results from RESTING study.
Observational study in Journal of experimental & clinical cancer research : CR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Tumor Genomics and Liquid Biopsy in Cancer Biology: From Static Snapshots to Dynamic Measurements.Biomolecules · 2026Article
- MiracleNet: A Biologically Interpretable Machine Learning Model for Resected Non-small-cell Lung Cancer.Computational and structural biotechnology journal · 2026Article
- Recent advances in the roles of extracellular vesicles in cardiovascular diseases: pathophysiological mechanisms, biomarkers, and cell-free therapeutic strategy.Molecular medicine (Cambridge, Mass.) · 2025Review
- The key role of miR‑378 in kidney diseases (Review).Molecular medicine reports · 2025Review
- The Association Between Radiation-Induced miR-208a, Cancer Recurrence and Death Risk in Patients with Non-Small Cell Lung Cancer.International journal of general medicine · 2025Article
- Harnessing EVs-ncRNA for Lung Cancer: From Oncogenic Pathways to Novel Diagnostic and Therapeutic Strategies.International journal of nanomedicine · 2025Review
- Advances in modelling the risk of benign and malignant lung nodules.Frontiers in oncology · 2025Review
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21 authors.
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Abstract
backgroundFactors to accurately stratify patients with early-stage non-small cell lung cancer (NSCLC) in different prognostic groups are still needed. This study aims to investigate 1) the prognostic potential of circulating cell-free (CF) and extracellular vesicles (EVs)-derived microRNA (miRNAs), and 2) their added value with respect to known prognostic factors (PFs).
methodsThe RESTING study is a multicentre prospective observational cohort study on resected stage IA-IIIA patients with NSCLC. The primary end-point was disease-free survival (DFS), and the main analyses were carried out separately for CF- and EV-miRNAs. CF- and EV-miRNAs were isolated from plasma, and miRNA-specific libraries were prepared and sequenced. To reach the study aims, three statistical models were specified: one using the miRNA data only (Model 1); one using both miRNAs and known PFs (age, gender, and pathological stage) (Model 2), and one using the PFs alone (Model 3). Five-fold cross-validation (CV) was used to assess the predictive performance of each. Standard Cox regression and elastic net regularized Cox regression were used.
resultsA total of 222 patients were enrolled. The median follow-up time was 26.3 (95% CI 25.4-27.6) months. From Model 1, three CF-miRNAs and 21 EV-miRNAs were associated with DFS. In Model 2, two CF-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 DFS. From pathway enrichment analysis, TGF-beta and NOTCH were the most involved pathways.
conclusionThis study identified promising prognostic CF- and EV-miRNAs that could be used as a non-invasive, cost-effective tool to aid clinical decision-making. However, further evaluation of the obtained miRNAs in an external cohort of patients is warranted.
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