Malignancy risk models for oral lesions.
- Autores
- Zárate, A.M.; Brezzo, M.M.; Secchi, D.G.; Barra, J.L.; Brunotto, M.
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
publishedVersion - Materia
-
Risk factors
Genotype
Phenotype
Neoplasms - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Repositorio
- Institución
- Universidad Nacional de Córdoba
- OAI Identificador
- oai:rdu.unc.edu.ar:11086/4892
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oai:rdu.unc.edu.ar:11086/4892 |
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repository_id_str |
2572 |
network_name_str |
Repositorio Digital Universitario (UNC) |
spelling |
Malignancy risk models for oral lesions.Zárate, A.M.Brezzo, M.M.Secchi, D.G.Barra, J.L.Brunotto, M.Risk factorsGenotypePhenotypeNeoplasmsObjectives: 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.publishedVersionMedicina Oral, Patología Oral y Cirugía Bucal.2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfZarate, A.M, Brezzo, M.M, Sechi, D.G, Barra, J.L, Brunotto, M. Malignancy Risk Models for Oral Lesions. Med Oral Patol Oral Cir Bucal. 2013;18(5): 759-765.1698-6946http://hdl.handle.net/11086/4892enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-04T12:34:27Zoai:rdu.unc.edu.ar:11086/4892Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-04 12:34:27.809Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse |
dc.title.none.fl_str_mv |
Malignancy risk models for oral lesions. |
title |
Malignancy risk models for oral lesions. |
spellingShingle |
Malignancy risk models for oral lesions. Zárate, A.M. Risk factors Genotype Phenotype Neoplasms |
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. |
dc.creator.none.fl_str_mv |
Zárate, A.M. Brezzo, M.M. Secchi, D.G. Barra, J.L. Brunotto, M. |
author |
Zárate, A.M. |
author_facet |
Zárate, A.M. Brezzo, M.M. Secchi, D.G. Barra, J.L. Brunotto, M. |
author_role |
author |
author2 |
Brezzo, M.M. Secchi, D.G. Barra, J.L. Brunotto, M. |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Risk factors Genotype Phenotype Neoplasms |
topic |
Risk factors Genotype Phenotype Neoplasms |
dc.description.none.fl_txt_mv |
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. publishedVersion |
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. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
Zarate, A.M, Brezzo, M.M, Sechi, D.G, Barra, J.L, Brunotto, M. Malignancy Risk Models for Oral Lesions. Med Oral Patol Oral Cir Bucal. 2013;18(5): 759-765. 1698-6946 http://hdl.handle.net/11086/4892 |
identifier_str_mv |
Zarate, A.M, Brezzo, M.M, Sechi, D.G, Barra, J.L, Brunotto, M. Malignancy Risk Models for Oral Lesions. Med Oral Patol Oral Cir Bucal. 2013;18(5): 759-765. 1698-6946 |
url |
http://hdl.handle.net/11086/4892 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Medicina Oral, Patología Oral y Cirugía Bucal. |
publisher.none.fl_str_mv |
Medicina Oral, Patología Oral y Cirugía Bucal. |
dc.source.none.fl_str_mv |
reponame:Repositorio Digital Universitario (UNC) instname:Universidad Nacional de Córdoba instacron:UNC |
reponame_str |
Repositorio Digital Universitario (UNC) |
collection |
Repositorio Digital Universitario (UNC) |
instname_str |
Universidad Nacional de Córdoba |
instacron_str |
UNC |
institution |
UNC |
repository.name.fl_str_mv |
Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba |
repository.mail.fl_str_mv |
oca.unc@gmail.com |
_version_ |
1842349679140929536 |
score |
13.13397 |