Identifying a risk profile for thyroid cancer

The large use of simple and effective diagnostic tools has significantly contributed to the increase in diagnosis of thyroid cancer over the past years. However, there is compelling evidence that most micropapillary carcinomas have an indolent behavior and may never evolve into clinical cancers. Therefore, there is an urgent need for new tools able to predict which thyroid cancers will remain silent, and which thyroid cancers will present an aggressive behavior. There are a number of well-established clinical predictors of malignancy and recent studies have suggested that some of the patient’s laboratory data and image methods may be useful. Molecular markers have also been increasingly tested and some of them appear to be very promising, such as BRAF, a few GST genes and p53 polymorphisms. In addition, modern tools, such as immunocytochemical markers, and the measure of the fractal nature of chromatin organization may increase the specificity of the pathological diagnosis of malignancy and help ascertain the prognosis. Guidelines designed to select nodules for further evaluation, as well as new methods aimed at distinguishing carcinomas of higher aggressiveness among the usually indolent thyroid tumors are an utmost necessity.

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Main Authors: Ward,Laura Sterian, Morari,Elaine Cristina, Leite,Janaina Luisa, Bufalo,Natassia Elena, Guilhen,Ana Carolina Trindade, Araujo,Priscilla Pereira C. de, Tincani,Alfio J., Assumpção,Ligia V.M., Matos,Patricia Sabino
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Endocrinologia e Metabologia 2007
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27302007000500008
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spelling oai:scielo:S0004-273020070005000082007-09-14Identifying a risk profile for thyroid cancerWard,Laura SterianMorari,Elaine CristinaLeite,Janaina LuisaBufalo,Natassia ElenaGuilhen,Ana Carolina TrindadeAraujo,Priscilla Pereira C. deTincani,Alfio J.Assumpção,Ligia V.M.Matos,Patricia Sabino Predisposition factors Environment Susceptibility genes Outcome The large use of simple and effective diagnostic tools has significantly contributed to the increase in diagnosis of thyroid cancer over the past years. However, there is compelling evidence that most micropapillary carcinomas have an indolent behavior and may never evolve into clinical cancers. Therefore, there is an urgent need for new tools able to predict which thyroid cancers will remain silent, and which thyroid cancers will present an aggressive behavior. There are a number of well-established clinical predictors of malignancy and recent studies have suggested that some of the patient’s laboratory data and image methods may be useful. Molecular markers have also been increasingly tested and some of them appear to be very promising, such as BRAF, a few GST genes and p53 polymorphisms. In addition, modern tools, such as immunocytochemical markers, and the measure of the fractal nature of chromatin organization may increase the specificity of the pathological diagnosis of malignancy and help ascertain the prognosis. Guidelines designed to select nodules for further evaluation, as well as new methods aimed at distinguishing carcinomas of higher aggressiveness among the usually indolent thyroid tumors are an utmost necessity.info:eu-repo/semantics/openAccessSociedade Brasileira de Endocrinologia e MetabologiaArquivos Brasileiros de Endocrinologia & Metabologia v.51 n.5 20072007-07-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27302007000500008en10.1590/S0004-27302007000500008
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libraryname SciELO
language English
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author Ward,Laura Sterian
Morari,Elaine Cristina
Leite,Janaina Luisa
Bufalo,Natassia Elena
Guilhen,Ana Carolina Trindade
Araujo,Priscilla Pereira C. de
Tincani,Alfio J.
Assumpção,Ligia V.M.
Matos,Patricia Sabino
spellingShingle Ward,Laura Sterian
Morari,Elaine Cristina
Leite,Janaina Luisa
Bufalo,Natassia Elena
Guilhen,Ana Carolina Trindade
Araujo,Priscilla Pereira C. de
Tincani,Alfio J.
Assumpção,Ligia V.M.
Matos,Patricia Sabino
Identifying a risk profile for thyroid cancer
author_facet Ward,Laura Sterian
Morari,Elaine Cristina
Leite,Janaina Luisa
Bufalo,Natassia Elena
Guilhen,Ana Carolina Trindade
Araujo,Priscilla Pereira C. de
Tincani,Alfio J.
Assumpção,Ligia V.M.
Matos,Patricia Sabino
author_sort Ward,Laura Sterian
title Identifying a risk profile for thyroid cancer
title_short Identifying a risk profile for thyroid cancer
title_full Identifying a risk profile for thyroid cancer
title_fullStr Identifying a risk profile for thyroid cancer
title_full_unstemmed Identifying a risk profile for thyroid cancer
title_sort identifying a risk profile for thyroid cancer
description The large use of simple and effective diagnostic tools has significantly contributed to the increase in diagnosis of thyroid cancer over the past years. However, there is compelling evidence that most micropapillary carcinomas have an indolent behavior and may never evolve into clinical cancers. Therefore, there is an urgent need for new tools able to predict which thyroid cancers will remain silent, and which thyroid cancers will present an aggressive behavior. There are a number of well-established clinical predictors of malignancy and recent studies have suggested that some of the patient’s laboratory data and image methods may be useful. Molecular markers have also been increasingly tested and some of them appear to be very promising, such as BRAF, a few GST genes and p53 polymorphisms. In addition, modern tools, such as immunocytochemical markers, and the measure of the fractal nature of chromatin organization may increase the specificity of the pathological diagnosis of malignancy and help ascertain the prognosis. Guidelines designed to select nodules for further evaluation, as well as new methods aimed at distinguishing carcinomas of higher aggressiveness among the usually indolent thyroid tumors are an utmost necessity.
publisher Sociedade Brasileira de Endocrinologia e Metabologia
publishDate 2007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27302007000500008
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