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Characterization of the MicroRNA Cargo of Extracellular Vesicles Isolated from a Pulmonary Tumor-Draining Vein Identifies miR-203a-3p as a Relapse Biomarker for Resected Non-Small Cell Lung Cancer.

Authors :
Han, Bing
Molins, Laureano
He, Yangyi
Viñolas, Nuria
Sánchez-Lorente, David
Boada, Marc
Guirao, Angela
Díaz, Tania
Martinez, Daniel
Ramirez, Jose
Moisés, Jorge
Acosta-Plasencia, Melissa
Monzo, Mariano
Marrades, Ramón M.
Navarro, Alfons
Source :
International Journal of Molecular Sciences. Jul2022, Vol. 23 Issue 13, p7138-N.PAG. 19p.
Publication Year :
2022

Abstract

In resected non-small cell lung cancer (NSCLC), post-surgical recurrence occurs in around 40% of patients, highlighting the necessity to identify relapse biomarkers. An analysis of the extracellular vesicle (EV) cargo from a pulmonary tumor-draining vein (TDV) can grant biomarker identification. We studied the pulmonary TDV EV-miRNAome to identify relapse biomarkers in a two-phase study (screening and validation). In the screening phase, a 17-miRNA relapse signature was identified in 18 selected patients by small RNAseq. The most expressed miRNA from the signature (EV-miR-203a-3p) was chosen for further validation. Pulmonary TDV EV-miR-203a-3p was studied by qRT-PCR in a validation cohort of 70 patients, where it was found to be upregulated in relapsed patients (p = 0.0194) and in patients with cancer spread to nearby lymph nodes (N+ patients) (p = 0.0396). The ROC curve analysis showed that TDV EV-miR-203a-3p was able to predict relapses with a sensitivity of 88% (AUC: 0.67; p = 0.022). Moreover, patients with high TDV EV-miR-203a-3p had a shorter time to relapse than patients with low levels (43.6 vs. 97.6 months; p = 0.00703). The multivariate analysis showed that EV-miR-203a-3p was an independent, predictive and prognostic post-surgical relapse biomarker. In conclusion, pulmonary TDV EV-miR-203a-3p is a promising new relapse biomarker for resected NSCLC patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
23
Issue :
13
Database :
Academic Search Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
157995559
Full Text :
https://doi.org/10.3390/ijms23137138