Multiplex analysis of circRNAs from plasma extracellular vesicle-enriched samples for the detection of early-stage non-small cell lung cancer

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  • dc.contributor.author Pedraz-Valdunciel, Carlos
  • dc.contributor.author Giannoukakos, Stavros
  • dc.contributor.author Giménez-Capitán, Ana
  • dc.contributor.author Fortunato, Diogo
  • dc.contributor.author Filipska, Martyna
  • dc.contributor.author Bertran-Alamillo, Jordi
  • dc.contributor.author Bracht, Jillian W.P.
  • dc.contributor.author Drozdowskyj, Ana
  • dc.contributor.author Valarezo, Joselyn
  • dc.contributor.author Zarovni, Natasa
  • dc.contributor.author Fernández-Hilario, Alberto
  • dc.contributor.author Hackenberg, Michael
  • dc.contributor.author Aguilar-Hernández, Andrés
  • dc.contributor.author Molina-Vila, Miguel Ángel
  • dc.contributor.author Rosell, Rafael
  • dc.date.accessioned 2023-05-09T06:13:12Z
  • dc.date.available 2023-05-09T06:13:12Z
  • dc.date.issued 2022
  • dc.description.abstract Background: The analysis of liquid biopsies brings new opportunities in the precision oncology field. Under this context, extracellular vesicle circular RNAs (EV-circRNAs) have gained interest as biomarkers for lung cancer (LC) detection. However, standardized and robust protocols need to be developed to boost their potential in the clinical setting. Although nCounter has been used for the analysis of other liquid biopsy substrates and biomarkers, it has never been employed for EV-circRNA analysis of LC patients. Methods: EVs were isolated from early-stage LC patients (n = 36) and controls (n = 30). Different volumes of plasma, together with different number of pre-amplification cycles, were tested to reach the best nCounter outcome. Differential expression analysis of circRNAs was performed, along with the testing of different machine learning (ML) methods for the development of a prognostic signature for LC. Results: A combination of 500 μL of plasma input with 10 cycles of pre-amplification was selected for the rest of the study. Eight circRNAs were found upregulated in LC. Further ML analysis selected a 10-circRNA signature able to discriminate LC from controls with AUC ROC of 0.86. Conclusions: This study validates the use of the nCounter platform for multiplexed EV-circRNA expression studies in LC patient samples, allowing the development of prognostic signatures.
  • dc.description.sponsorship This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement ELBA No 765492.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Pedraz-Valdunciel C, Giannoukakos S, Giménez-Capitán A, Fortunato D, Filipska M, Bertran-Alamillo J, Bracht JWP, Drozdowskyj A, Valarezo J, Zarovni N, Fernández-Hilario A, Hackenberg M, Aguilar-Hernández A, Molina-Vila MÁ, Rosell R. Multiplex analysis of circRNAs from plasma extracellular vesicle-enriched samples for the detection of early-stage non-small cell lung cancer. Pharmaceutics. 2022 Sep 24;14(10):2034. DOI: 10.3390/pharmaceutics14102034
  • dc.identifier.doi http://dx.doi.org/10.3390/pharmaceutics14102034
  • dc.identifier.issn 1999-4923
  • dc.identifier.uri http://hdl.handle.net/10230/56714
  • dc.language.iso eng
  • dc.publisher MDPI
  • dc.relation.ispartof Pharmaceutics. 2022 Sep 24;14(10):2034
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/765492
  • dc.rights © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword NSCLC
  • dc.subject.keyword CircRNAs
  • dc.subject.keyword Extracellular vesicles
  • dc.subject.keyword Liquid biopsies
  • dc.subject.keyword Lung cancer
  • dc.subject.keyword nCounter
  • dc.title Multiplex analysis of circRNAs from plasma extracellular vesicle-enriched samples for the detection of early-stage non-small cell lung cancer
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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