Publication:
Detection of the EGFR G719S Mutation in Non-small Cell Lung Cancer Using Droplet Digital PCR

dc.contributor.authorEsteva-Socias, Margalida
dc.contributor.authorEnver-Sumaya, Mónica
dc.contributor.authorGómez-Bellvert, Cristina
dc.contributor.authorGuillot, Monica
dc.contributor.authorAzkárate, Aitor
dc.contributor.authorMarsé, Raquel
dc.contributor.authorSastre, Úrsula
dc.contributor.authorBlasco, Ana
dc.contributor.authorCalabuig-Fariñas, Silvia
dc.contributor.authorAsensio, Víctor José
dc.contributor.authorTerrasa Pons, Josefa
dc.contributor.authorObrador-Hevia, Antonia
dc.date.accessioned2024-09-13T09:13:28Z
dc.date.available2024-09-13T09:13:28Z
dc.date.issued2020
dc.descriptionhttps://www.frontiersin.org/articles/10.3389/fmed. 2020.594900/full#supplementary-material
dc.description.abstractObjectives: The main objectives of the study were (1) to set-up a droplet digital PCR (ddPCR) assay for the non-invasive detection of G719S EGFR mutation in NSCLC patients; (2) to determine the limits of detection of the ddPCR assay for G719S mutation and (3) to compare COBAS® and ddPCR System for G719S quantification in plasma. Materials and Methods: Blood samples were collected from 22 patients diagnosed with advanced NSCLC. Then, plasma ctDNA was extracted with the Qiagen Circulating Nucleic Acids kit and quantified by QuantiFluor® dsDNA System. The mutational study of EGFR was carried out by digital droplet PCR (ddPCR) with the QX200 Droplet Digital PCR System with specific probes and primers. Results: We observed the lowest percentage of G719S mutant allele could be detected in a wildtype background was 0.058%. In the specificity analysis, low levels of G719S mutation were detected in healthy volunteers with a peak of 21.65 mutant copies per milliliter of plasma and 6.35 MAFs. In those patients whose tissue biopsy was positive for G719S mutation, mutant alleles could also be detected in plasma using both ddPCR and COBAS® System. Finally, when mutational status was studied using both genotyping techniques, higher mutant copies/ml and higher mutant allele fraction (MAF) correlated with higher Semiquantitative Index obtained by COBAS®. Conclusions: Although tissue biopsies cannot be replaced due to the large amount of information they provide regarding tumor type and structure, liquid biopsy and ddPCR represents a new promising strategy for genetic analysis of tumors from plasma samples. In the present study, G719S mutation was detected in a highly sensitive manner, allowing its monitorization with a non-invasive technique.en
dc.description.sponsorshipThis study was financed by Hospital Universitari Son Espases (HUSE) (Pilot Project, 2015) and HUSE Medical Oncology Department. ME-S (1st author) was supported by Conselleria d´Innovació, Recerca i Turisme del Govern de les Illes Balears (TEC/002/2017). ME-S (2nd author) was supported by Programa Estrategia de Emprendimiento y Empleo Joven, Garantía Juvenil (Ministerio de Trabajo, Migraciones y Seguridad Social-SOIB).es_ES
dc.format.page594900es_ES
dc.format.volume7es_ES
dc.identifier.citationEsteva-Socias M, Enver-Sumaya M, Gómez-Bellvert C, Guillot M, Azkárate A, Marsé R, et al. Detection of the EGFR G719S Mutation in Non-small Cell Lung Cancer Using Droplet Digital PCR. Front Med. 2020 Nov 13;7.en
dc.identifier.doi10.3389/fmed.2020.594900
dc.identifier.issn2296-858X
dc.identifier.journalFrontiers in medicinees_ES
dc.identifier.otherhttp://hdl.handle.net/20.500.13003/18552
dc.identifier.pubmedID33282894es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12105/22912
dc.identifier.wos593494800001
dc.language.isoengen
dc.publisherFrontiers Media
dc.relation.publisherversionhttps://doi.org/10.3389/fmed.2020.594900en
dc.rights.accessRightsopen accessen
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleDetection of the EGFR G719S Mutation in Non-small Cell Lung Cancer Using Droplet Digital PCRen
dc.typeresearch articleen
dspace.entity.typePublication
relation.isPublisherOfPublication9f9fa5ea-093b-43d8-bf2c-5bd65d08a802
relation.isPublisherOfPublication.latestForDiscovery9f9fa5ea-093b-43d8-bf2c-5bd65d08a802

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