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dc.contributor.author
Zarate, Ana-María  
dc.contributor.author
Brezzo, María-Magdalena  
dc.contributor.author
Secchi, Dante-Gustavo  
dc.contributor.author
Barra, Jose Luis  
dc.contributor.author
Brunotto, Mabel Noemí  
dc.date.available
2015-06-17T19:23:48Z  
dc.date.issued
2013-09  
dc.identifier.citation
Zarate, 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.identifier.issn
1698-4447  
dc.identifier.issn
http://www.medicinaoral.com/pubmed/medoralv18_i5_p759.pdf  
dc.identifier.uri
http://hdl.handle.net/11336/791  
dc.description.abstract
Abstract 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.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Medicina Oral S L  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Tp53  
dc.subject
Opmd  
dc.subject
Oral Cancer  
dc.subject
Public Health  
dc.subject.classification
Ciencias Médicas y de la Salud  
dc.subject.classification
Medicina Básica  
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Genética Humana  
dc.title
Malignancy Risk Models for Oral Lesions  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-03-30 10:35:44.97925-03  
dc.journal.pagination
1-7  
dc.journal.pais
España  
dc.description.fil
Fil: Zarate, Ana-María. Universidad Nacional de Cordoba. Facultad de Odontologia. Departamento de Biologia Bucal; Argentina;  
dc.description.fil
Fil: Brezzo, María-Magdalena. Universidad Nacional de Cordoba. Facultad de Odontologia; Argentina;  
dc.description.fil
Fil: Secchi, Dante-Gustavo. Universidad Nacional de Cordoba. Facultad de Odontologia; Argentina;  
dc.description.fil
Fil: 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.description.fil
Fil: Brunotto, Mabel Noemí. Universidad Nacional de Cordoba. Facultad de Odontologia. Departamento de Biologia Bucal; Argentina;  
dc.journal.title
Medicina Oral Patologia Oral y Cirugia Bucal  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.4317/medoral.18374