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dc.creatorZarate, Ana-María-
dc.creatorBrezzo, María-Magdalena-
dc.creatorSecchi, Dante-Gustavo-
dc.creatorBarra, Jose Luis-
dc.creatorBrunotto, Mabel Noemí-
dc.date2015-06-17T19:23:48Z-
dc.date2015-06-17T19:23:48Z-
dc.date2013-09-
dc.date2016-03-30 10:35:44.97925-03-
dc.date.accessioned2019-04-29T15:53:52Z-
dc.date.available2019-04-29T15:53:52Z-
dc.date.issued2013-09-
dc.identifierZarate, Ana-María; Brezzo, María-Magdalena; Secchi, Dante-Gustavo; Barra, Jose Luis; Brunotto, Mabel Noemí; Malignancy Risk Models for Oral Lesions; Medicina Oral S L; Medicina Oral Patologia Oral y Cirugia Bucal; 9-2013; 1-7-
dc.identifier1698-4447-
dc.identifierhttp://www.medicinaoral.com/pubmed/medoralv18_i5_p759.pdf-
dc.identifierhttp://hdl.handle.net/11336/791-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/304937-
dc.descriptionAbstract Objectives: The aim of this work was to assess risk habits, clinical and cellular phenotypes and TP53 DNA changes in oral mucosa samples from patients with Oral Potentially Malignant Disorders (OPMD), in order to create models that enable genotypic and phenotypic patterns to be obtained that determine the risk of lesions becoming malignant. Study Design: Clinical phenotypes, family history of cancer and risk habits were collected in clinical histories. TP53 gene mutation and morphometric-morphological features were studied, and multivariate models were applied. Three groups were estabished: a) oral cancer (OC) group (n=10), b) OPMD group (n=10), and c) control group (n=8). Results: An average of 50% of patients with malignancy were found to have smoking and drinking habits. A high percentage of TP53 mutations were observed in OC (30%) and OPMD (average 20%) lesions (p=0.000). The majority of these mutations were GC → TA transversion mutations (60%). However, patients with OC presented mutations in all the exons and introns studied. Highest diagnostic accuracy (p=0.0001) was observed when incorporating alcohol and tobacco habits variables with TP53 mutations. Conclusions: Our results prove to be statistically reliable, with parameter estimates that are nearly unbiased even for small sample sizes. Models 2 and 3 were the most accurate for assessing the risk of an OPMD becoming cancerous. However, in a public health context, model 3 is the most recommended because the characteristics considered are easier and less costly to evaluate.-
dc.descriptionFil: Zarate, Ana-María. Universidad Nacional de Cordoba. Facultad de Odontologia. Departamento de Biologia Bucal; Argentina;-
dc.descriptionFil: Brezzo, María-Magdalena. Universidad Nacional de Cordoba. Facultad de Odontologia; Argentina;-
dc.descriptionFil: Secchi, Dante-Gustavo. Universidad Nacional de Cordoba. Facultad de Odontologia; Argentina;-
dc.descriptionFil: Barra, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Córdoba. Centro de Investigaciones en Química Biológica de Cordoba (p); Argentina;-
dc.descriptionFil: Brunotto, Mabel Noemí. Universidad Nacional de Cordoba. Facultad de Odontologia. Departamento de Biologia Bucal; Argentina;-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMedicina Oral S L-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.4317/medoral.18374-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectTP53-
dc.subjectOPMD-
dc.subjectORAL CANCER-
dc.subjectpublic health-
dc.subjectCiencias Médicas y de la Salud-
dc.subjectMedicina Básica-
dc.subjectGenética Humana-
dc.titleMalignancy Risk Models for Oral Lesions-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: CONICET

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