Malignancy risk models for oral lesions.

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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 deter...

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Autores principales: Zárate, A.M., Brezzo, M.M., Secchi, D.G., Barra, J.L., Brunotto, M.
Formato: article
Lenguaje:Inglés
Publicado: Medicina Oral, Patología Oral y Cirugía Bucal. 2017
Materias:
Risk factors
Genotype
Phenotype
Neoplasms
Acceso en línea:http://hdl.handle.net/11086/4892
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R14111086-4892
record_format dspace
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Risk factors
Genotype
Phenotype
Neoplasms
spellingShingle Risk factors
Genotype
Phenotype
Neoplasms
Zárate, A.M.
Brezzo, M.M.
Secchi, D.G.
Barra, J.L.
Brunotto, M.
Malignancy risk models for oral lesions.
topic_facet Risk factors
Genotype
Phenotype
Neoplasms
description 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.
format article
author Zárate, A.M.
Brezzo, M.M.
Secchi, D.G.
Barra, J.L.
Brunotto, M.
author_facet Zárate, A.M.
Brezzo, M.M.
Secchi, D.G.
Barra, J.L.
Brunotto, M.
author_sort Zárate, A.M.
title Malignancy risk models for oral lesions.
title_short Malignancy risk models for oral lesions.
title_full Malignancy risk models for oral lesions.
title_fullStr Malignancy risk models for oral lesions.
title_full_unstemmed Malignancy risk models for oral lesions.
title_sort malignancy risk models for oral lesions.
publisher Medicina Oral, Patología Oral y Cirugía Bucal.
publishDate 2017
url http://hdl.handle.net/11086/4892
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bdutipo_str Repositorios
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