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| 001 | 186686 | ||
| 005 | 20240229154901.0 | ||
| 024 | 7 | _ | |a 10.3390/cancers15010125 |2 doi |
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| 100 | 1 | _ | |a Casalone, Elisabetta |b 0 |
| 245 | _ | _ | |a Serum Extracellular Vesicle-Derived microRNAs as Potential Biomarkers for Pleural Mesothelioma in a European Prospective Study. |
| 260 | _ | _ | |a Basel |c 2023 |b MDPI |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Malignant pleural mesothelioma (MPM) is an aggressive cancer with a dismal prognosis. Early therapeutic interventions could improve patient outcomes. We aimed to identify a pattern of microRNAs (miRNAs) as potential early non-invasive markers of MPM. In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition cohort, we screened the whole miRNome in serum extracellular vesicles (EVs) of preclinical MPM cases. In a subgroup of 20 preclinical samples collected five years prior MPM diagnosis, we observed an upregulation of miR-11400 (fold change (FC) = 2.6, adjusted p-value = 0.01), miR-148a-3p (FC = 1.5, p-value = 0.001), and miR-409-3p (FC = 1.5, p-value = 0.04) relative to matched controls. The 3-miRNA panel showed a good classification capacity with an area under the receiver operating characteristic curve (AUC) of 0.81 (specificity = 0.75, sensitivity = 0.70). The diagnostic ability of the model was also evaluated in an independent retrospective cohort, yielding a higher predictive power (AUC = 0.86). A signature of EV miRNA can be detected up to five years before MPM; moreover, the identified miRNAs could provide functional insights into the molecular changes related to the late carcinogenic process, preceding MPM development. |
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| 650 | _ | 7 | |a biomarkers |2 Other |
| 650 | _ | 7 | |a early changes |2 Other |
| 650 | _ | 7 | |a malignant pleural mesothelioma |2 Other |
| 650 | _ | 7 | |a microRNAs |2 Other |
| 650 | _ | 7 | |a next generation sequencing |2 Other |
| 700 | 1 | _ | |a Birolo, Giovanni |0 0000-0003-0160-9312 |b 1 |
| 700 | 1 | _ | |a Pardini, Barbara |0 0000-0001-9571-4257 |b 2 |
| 700 | 1 | _ | |a Allione, Alessandra |b 3 |
| 700 | 1 | _ | |a Russo, Alessia |0 0000-0002-5494-2218 |b 4 |
| 700 | 1 | _ | |a Catalano, Chiara |b 5 |
| 700 | 1 | _ | |a Mencoboni, Manlio |b 6 |
| 700 | 1 | _ | |a Ferrante, Daniela |0 0000-0003-4929-3759 |b 7 |
| 700 | 1 | _ | |a Magnani, Corrado |0 0000-0001-6413-5471 |b 8 |
| 700 | 1 | _ | |a Sculco, Marika |b 9 |
| 700 | 1 | _ | |a Dianzani, Irma |b 10 |
| 700 | 1 | _ | |a Grosso, Federica |b 11 |
| 700 | 1 | _ | |a Mirabelli, Dario |b 12 |
| 700 | 1 | _ | |a Filiberti, Rosa Angela |b 13 |
| 700 | 1 | _ | |a Rena, Ottavio |b 14 |
| 700 | 1 | _ | |a Sacerdote, Carlotta |0 0000-0002-8008-5096 |b 15 |
| 700 | 1 | _ | |a Rodriguez-Barranco, Miguel |0 0000-0002-9972-9779 |b 16 |
| 700 | 1 | _ | |a Smith-Byrne, Karl |b 17 |
| 700 | 1 | _ | |a Panico, Salvatore |b 18 |
| 700 | 1 | _ | |a Agnoli, Claudia |b 19 |
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| 700 | 1 | _ | |a Tumino, Rosario |b 22 |
| 700 | 1 | _ | |a Huerta, José María |b 23 |
| 700 | 1 | _ | |a Riboli, Elio |b 24 |
| 700 | 1 | _ | |a Heath, Alicia K |0 0000-0001-6517-1300 |b 25 |
| 700 | 1 | _ | |a Trobajo-Sanmartín, Camino |0 0000-0001-5105-252X |b 26 |
| 700 | 1 | _ | |a Schulze, Matthias B |0 0000-0002-0830-5277 |b 27 |
| 700 | 1 | _ | |a Saieva, Calogero |0 0000-0002-0117-1608 |b 28 |
| 700 | 1 | _ | |a Amiano, Pilar |b 29 |
| 700 | 1 | _ | |a Agudo, Antonio |b 30 |
| 700 | 1 | _ | |a Weiderpass, Elisabete |0 0000-0003-2237-0128 |b 31 |
| 700 | 1 | _ | |a Vineis, Paolo |b 32 |
| 700 | 1 | _ | |a Matullo, Giuseppe |0 0000-0003-0674-7757 |b 33 |
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