<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Marconi S</submitter><funding>Italian Ministry of Health</funding><funding>Compagnia di San Paolo</funding><pagination>3412</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9317031</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(14)</volume><pubmed_abstract>To date, the 5-year overall survival rate of 60% for early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on an interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. In order to identify a prognostic score, we performed in-depth high-throughput analyses of plasma circulating markers, including exosomal microRNAs (Exo-miR) and peptides, in 67 radically resected NSCLCs. The miRnome profile selected the Exo-miR-130a-3p as the most overexpressed in relapsed patients. Peptidome analysis identified four progressively more degraded forms of fibrinopeptide A (FpA)</pubmed_abstract><journal>Cancers</journal><pubmed_title>A Circulating Risk Score, Based on Combined Expression of Exo-miR-130a-3p and Fibrinopeptide A, as Predictive Biomarker of Relapse in Resectable Non-Small Cell Lung Cancer Patients.</pubmed_title><pmcid>PMC9317031</pmcid><funding_grant_id>CO-2016-02361470</funding_grant_id><funding_grant_id>2017-0529</funding_grant_id><funding_grant_id>Ricerca Corrente 2022, RRC 2022; 5X1000 funds: 2011, 2016, 2018-2019; CO-2016-02361470</funding_grant_id><pubmed_authors>Rossi G</pubmed_authors><pubmed_authors>Dono M</pubmed_authors><pubmed_authors>Venturi C</pubmed_authors><pubmed_authors>Ostano P</pubmed_authors><pubmed_authors>Grassi M</pubmed_authors><pubmed_authors>De Luca G</pubmed_authors><pubmed_authors>Bennicelli E</pubmed_authors><pubmed_authors>Croce M</pubmed_authors><pubmed_authors>Romano P</pubmed_authors><pubmed_authors>Zullo L</pubmed_authors><pubmed_authors>Genova C</pubmed_authors><pubmed_authors>Mastracci L</pubmed_authors><pubmed_authors>Alama A</pubmed_authors><pubmed_authors>Tagliamento M</pubmed_authors><pubmed_authors>Guana F</pubmed_authors><pubmed_authors>Ponassi M</pubmed_authors><pubmed_authors>Pronzato P</pubmed_authors><pubmed_authors>Dal Bello MG</pubmed_authors><pubmed_authors>Cavalieri Z</pubmed_authors><pubmed_authors>Profumo A</pubmed_authors><pubmed_authors>Chiorino G</pubmed_authors><pubmed_authors>Dellepiane C</pubmed_authors><pubmed_authors>Rosano C</pubmed_authors><pubmed_authors>Coco S</pubmed_authors><pubmed_authors>Marconi S</pubmed_authors><pubmed_authors>Longo L</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Circulating Risk Score, Based on Combined Expression of Exo-miR-130a-3p and Fibrinopeptide A, as Predictive Biomarker of Relapse in Resectable Non-Small Cell Lung Cancer Patients.</name><description>To date, the 5-year overall survival rate of 60% for early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on an interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. In order to identify a prognostic score, we performed in-depth high-throughput analyses of plasma circulating markers, including exosomal microRNAs (Exo-miR) and peptides, in 67 radically resected NSCLCs. The miRnome profile selected the Exo-miR-130a-3p as the most overexpressed in relapsed patients. Peptidome analysis identified four progressively more degraded forms of fibrinopeptide A (FpA)</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jul</publication><modification>2026-04-08T11:20:32.386Z</modification><creation>2022-08-06T14:49:22.944Z</creation></dates><accession>S-EPMC9317031</accession><cross_references><pubmed>35884472</pubmed><doi>10.3390/cancers14143412</doi></cross_references></HashMap>