Mostrar el registro sencillo del ítem
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
dc.subject.classification
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
Archivos asociados