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dc.contributor.authorHerreros-Villanueva, M.
dc.contributor.authorDuran-Sanchon, S.
dc.contributor.authorMartin, A. C.
dc.contributor.authorPerez-Palacios, R.
dc.contributor.authorVila-Navarro, E.
dc.contributor.authorMarcuello, M.
dc.contributor.authorDiaz-Centeno, M.
dc.contributor.authorCubiella Fernández, Joaquín 
dc.contributor.authorDiez, M. S.
dc.contributor.authorBujanda, L.
dc.contributor.authorLanas, A.
dc.contributor.authorJover, R.
dc.contributor.authorHernández Ramirez, Vicent 
dc.contributor.authorQuintero, E.
dc.contributor.authorJose Lozano, J.
dc.contributor.authorGarcia-Cougil, M.
dc.contributor.authorMartinez-Arranz, I.
dc.contributor.authorCastells, A.
dc.contributor.authorGironella, M.
dc.contributor.authorArroyo, R.
dc.date.accessioned2022-01-27T10:40:09Z
dc.date.available2022-01-27T10:40:09Z
dc.date.issued2019
dc.identifier.issn2155-384x
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369870/pdf/ct9-10-e00003.pdfes
dc.identifier.urihttp://hdl.handle.net/20.500.11940/15958
dc.description.abstractOBJECTIVES: Specific microRNA (miRNA) signatures in biological fluids can facilitate earlier detection of the tumors being then minimally invasive diagnostic biomarkers. Circulating miRNAs have also emerged as promising diagnostic biomarkers for colorectal cancer (CRC) screening. In this study, we investigated the performance of a specific signature of miRNA in plasma samples to design a robust predictive model that can distinguish healthy individuals from those with CRC or advanced adenomas (AA) diseases. METHODS: Case control study of 297 patients from 8 Spanish centers including 100 healthy individuals, 101 diagnosed with AA, and 96 CRC cases. Quantitative real-time reverse transcription was used to quantify a signature of miRNA (miRNA19a, miRNA19b, miRNA15b, miRNA29a, miRNA335, and miRNA18a) in plasma samples. Binary classifiers (Support Vector Machine [SVM] linear, SVM radial, and SVM polynomial) were built for the best predictive model. RESULTS: Area under receiving operating characteristic curve of 0.92 (95% confidence interval 0.871-0.962) was obtained retrieving a model with a sensitivity of 0.85 and specificity of 0.90, positive predictive value of 0.94, and negative predictive value of 0.76 when advanced neoplasms (CRC and AA) were compared with healthy individuals. CONCLUSIONS: We identified and validated a signature of 6 miRNAs (miRNA19a, miRNA19b, miRNA15b, miRNA29a, miRNA335, and miRNA18a) as predictors that can differentiate significantly patients with CRC and AA from those who are healthy. However, large-scale validation studies in asymptomatic screening participants should be conducted.en
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.meshPredictive Value of Tests *
dc.subject.meshEarly Detection of Cancer *
dc.subject.meshNeoplasm Staging *
dc.subject.meshAdenoma *
dc.subject.meshMiddle Aged *
dc.subject.meshHumans *
dc.subject.meshDiagnosis *
dc.subject.meshROC Curve *
dc.subject.meshTranscriptome *
dc.subject.meshGene Expression Profiling *
dc.subject.meshCase-Control Studies *
dc.subject.meshAged *
dc.subject.meshColorectal Neoplasms *
dc.titlePlasma MicroRNA Signature Validation for Early Detection of Colorectal Canceren
dc.typeArtigoes
dc.identifier.doi10.14309/ctg.0000000000000003
dc.identifier.pmid30702491
dc.identifier.sophos32677
dc.issue.number1es
dc.journal.titleClin Transl Gastroenteroles
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Ourense, Verín e O Barco de Valdeorras - Complexo Hospitalario Universitario de Ourense::Complexo Hospitalario Universitario de Ourensees
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Vigo - Complexo Hospitalario Universitario de Vigo::Dixestivoes
dc.page.initiale00003es
dc.rights.accessRightsopenAccesses
dc.subject.decsestudios de casos y controles *
dc.subject.decscurva ROC *
dc.subject.decsestadificación de neoplasias *
dc.subject.decspruebas de valores predictivos *
dc.subject.decsmediana edad *
dc.subject.decsanciano *
dc.subject.decstranscriptoma *
dc.subject.decsdiagnóstico *
dc.subject.decsadenoma *
dc.subject.decshumanos *
dc.subject.decsdetección precoz del cáncer *
dc.subject.decsperfiles de expresión génica *
dc.subject.decsneoplasias colorrectales *
dc.subject.keywordCHUOes
dc.subject.keywordCHUVIes
dc.typefidesArtículo Originales
dc.typesophosArtículo Originales
dc.volume.number10es


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Attribution-NonCommercial-NoDerivatives 4.0 International
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