Diagnosis of suspicious thyroid nodules using four protein biomarkers
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | http://dx.doi.org/10.1158/1078-0432.CCR-05-2226 http://repositorio.unifesp.br/handle/11600/28931 |
Resumo: | Purpose: Fine-needle aspiration (FNA) cytology, a standard method for thyroid nodule diagnosis, cannot distinguish between benign follicular thyroid adenoma (FTA) and malignant follicular thyroid carcinoma (FTC). Previously, using expression profiling, we found that a combination of transcript expression levels from DDIT3, ARGZ C1orf24, and ITM1 distinguished between FTA and FTC. the goal of this study was to determine if antibody markers used alone or in combination could accurately distinguish between a wider variety of benign and malignant thyroid lesions in fixed sections and FNA samples.Experimental Design: Immunohistochemistry was done on 27 FTA, 25 FTC, and 75 other benign and malignant thyroid tissue sections using custom antibodies for chromosome 1 open reading frame 24 (C1orf24) and integral membrane protein 1 (ITM1) and commercial antibodies for DNA damage - inducible transcript 3 (DDIT3) and arginase II (ARG2). FNA samples were also tested using the same antibodies. RNA expression was measured by quantitative PCR in 33 thyroid lesions.Results: C1orf24 and ITM1 antibodies had an estimated sensitivity of 1.00 for distinguishing FTA from FTC. for the expanded analysis of all lesions studied, ITM1 had an estimated sensitivity of 1.00 for detecting malignancy. Because all four cancer biomarkers did well, producing overlapping confidence intervals, not one best marker was distinguished. Transcript levels also reliably predicted malignancy, but immunohistochemistry had a higher sensitivity. Malignant cells were easily detected in FNA samples using these markers.Conclusions: We improved this diagnostic test by adding C1orf24 and ITM1 custom antibodies and showing use on a wider variety of thyroid pathology. We recommend that testing of all four cancer biomarkers now be advanced to larger trials. Use of one or more of these antibodies should improve diagnostic accuracy of suspicious thyroid nodules from both tissue sections and FNA samples. |
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Diagnosis of suspicious thyroid nodules using four protein biomarkersPurpose: Fine-needle aspiration (FNA) cytology, a standard method for thyroid nodule diagnosis, cannot distinguish between benign follicular thyroid adenoma (FTA) and malignant follicular thyroid carcinoma (FTC). Previously, using expression profiling, we found that a combination of transcript expression levels from DDIT3, ARGZ C1orf24, and ITM1 distinguished between FTA and FTC. the goal of this study was to determine if antibody markers used alone or in combination could accurately distinguish between a wider variety of benign and malignant thyroid lesions in fixed sections and FNA samples.Experimental Design: Immunohistochemistry was done on 27 FTA, 25 FTC, and 75 other benign and malignant thyroid tissue sections using custom antibodies for chromosome 1 open reading frame 24 (C1orf24) and integral membrane protein 1 (ITM1) and commercial antibodies for DNA damage - inducible transcript 3 (DDIT3) and arginase II (ARG2). FNA samples were also tested using the same antibodies. RNA expression was measured by quantitative PCR in 33 thyroid lesions.Results: C1orf24 and ITM1 antibodies had an estimated sensitivity of 1.00 for distinguishing FTA from FTC. for the expanded analysis of all lesions studied, ITM1 had an estimated sensitivity of 1.00 for detecting malignancy. Because all four cancer biomarkers did well, producing overlapping confidence intervals, not one best marker was distinguished. Transcript levels also reliably predicted malignancy, but immunohistochemistry had a higher sensitivity. Malignant cells were easily detected in FNA samples using these markers.Conclusions: We improved this diagnostic test by adding C1orf24 and ITM1 custom antibodies and showing use on a wider variety of thyroid pathology. We recommend that testing of all four cancer biomarkers now be advanced to larger trials. Use of one or more of these antibodies should improve diagnostic accuracy of suspicious thyroid nodules from both tissue sections and FNA samples.Johns Hopkins Univ, Sch Med, Dept Neurosurg, Baltimore, MD 21231 USAUniversidade Federal de São Paulo, Div Genet, São Paulo, BrazilUniversidade Federal de São Paulo, Div Endocrinol, São Paulo, BrazilUniversidade Federal de São Paulo, Div Head & Neck, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Pathol, São Paulo, BrazilDuke Univ, Med Ctr, Durham, NC USAUniversidade Federal de São Paulo, Div Genet, São Paulo, BrazilUniversidade Federal de São Paulo, Div Endocrinol, São Paulo, BrazilUniversidade Federal de São Paulo, Div Head & Neck, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Pathol, São Paulo, BrazilWeb of ScienceAmer Assoc Cancer ResearchJohns Hopkins UnivUniversidade Federal de São Paulo (UNIFESP)Duke UnivCerutti, Janete M.Latini, Flavia RMNakabashi, ClaudiaDelcelo, Rosana [UNIFESP]Andrade, Victor P.Amadei, Marcelo JoaoMaciel, Rui MBHojaij, Flavio Carneiro [UNIFESP]Hollis, DonnaShoemaker, JenniferRiggins, Gregory J.2016-01-24T12:41:12Z2016-01-24T12:41:12Z2006-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion3311-3318http://dx.doi.org/10.1158/1078-0432.CCR-05-2226Clinical Cancer Research. Philadelphia: Amer Assoc Cancer Research, v. 12, n. 11, p. 3311-3318, 2006.10.1158/1078-0432.CCR-05-22261078-0432http://repositorio.unifesp.br/handle/11600/28931WOS:000238169800013engClinical Cancer Researchinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2016-01-24T10:41:12Zoai:repositorio.unifesp.br/:11600/28931Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652016-01-24T10:41:12Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.none.fl_str_mv |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
title |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
spellingShingle |
Diagnosis of suspicious thyroid nodules using four protein biomarkers Cerutti, Janete M. |
title_short |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
title_full |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
title_fullStr |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
title_full_unstemmed |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
title_sort |
Diagnosis of suspicious thyroid nodules using four protein biomarkers |
author |
Cerutti, Janete M. |
author_facet |
Cerutti, Janete M. Latini, Flavia RM Nakabashi, Claudia Delcelo, Rosana [UNIFESP] Andrade, Victor P. Amadei, Marcelo Joao Maciel, Rui MB Hojaij, Flavio Carneiro [UNIFESP] Hollis, Donna Shoemaker, Jennifer Riggins, Gregory J. |
author_role |
author |
author2 |
Latini, Flavia RM Nakabashi, Claudia Delcelo, Rosana [UNIFESP] Andrade, Victor P. Amadei, Marcelo Joao Maciel, Rui MB Hojaij, Flavio Carneiro [UNIFESP] Hollis, Donna Shoemaker, Jennifer Riggins, Gregory J. |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Johns Hopkins Univ Universidade Federal de São Paulo (UNIFESP) Duke Univ |
dc.contributor.author.fl_str_mv |
Cerutti, Janete M. Latini, Flavia RM Nakabashi, Claudia Delcelo, Rosana [UNIFESP] Andrade, Victor P. Amadei, Marcelo Joao Maciel, Rui MB Hojaij, Flavio Carneiro [UNIFESP] Hollis, Donna Shoemaker, Jennifer Riggins, Gregory J. |
description |
Purpose: Fine-needle aspiration (FNA) cytology, a standard method for thyroid nodule diagnosis, cannot distinguish between benign follicular thyroid adenoma (FTA) and malignant follicular thyroid carcinoma (FTC). Previously, using expression profiling, we found that a combination of transcript expression levels from DDIT3, ARGZ C1orf24, and ITM1 distinguished between FTA and FTC. the goal of this study was to determine if antibody markers used alone or in combination could accurately distinguish between a wider variety of benign and malignant thyroid lesions in fixed sections and FNA samples.Experimental Design: Immunohistochemistry was done on 27 FTA, 25 FTC, and 75 other benign and malignant thyroid tissue sections using custom antibodies for chromosome 1 open reading frame 24 (C1orf24) and integral membrane protein 1 (ITM1) and commercial antibodies for DNA damage - inducible transcript 3 (DDIT3) and arginase II (ARG2). FNA samples were also tested using the same antibodies. RNA expression was measured by quantitative PCR in 33 thyroid lesions.Results: C1orf24 and ITM1 antibodies had an estimated sensitivity of 1.00 for distinguishing FTA from FTC. for the expanded analysis of all lesions studied, ITM1 had an estimated sensitivity of 1.00 for detecting malignancy. Because all four cancer biomarkers did well, producing overlapping confidence intervals, not one best marker was distinguished. Transcript levels also reliably predicted malignancy, but immunohistochemistry had a higher sensitivity. Malignant cells were easily detected in FNA samples using these markers.Conclusions: We improved this diagnostic test by adding C1orf24 and ITM1 custom antibodies and showing use on a wider variety of thyroid pathology. We recommend that testing of all four cancer biomarkers now be advanced to larger trials. Use of one or more of these antibodies should improve diagnostic accuracy of suspicious thyroid nodules from both tissue sections and FNA samples. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-06-01 2016-01-24T12:41:12Z 2016-01-24T12:41:12Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1158/1078-0432.CCR-05-2226 Clinical Cancer Research. Philadelphia: Amer Assoc Cancer Research, v. 12, n. 11, p. 3311-3318, 2006. 10.1158/1078-0432.CCR-05-2226 1078-0432 http://repositorio.unifesp.br/handle/11600/28931 WOS:000238169800013 |
url |
http://dx.doi.org/10.1158/1078-0432.CCR-05-2226 http://repositorio.unifesp.br/handle/11600/28931 |
identifier_str_mv |
Clinical Cancer Research. Philadelphia: Amer Assoc Cancer Research, v. 12, n. 11, p. 3311-3318, 2006. 10.1158/1078-0432.CCR-05-2226 1078-0432 WOS:000238169800013 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Clinical Cancer Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
3311-3318 |
dc.publisher.none.fl_str_mv |
Amer Assoc Cancer Research |
publisher.none.fl_str_mv |
Amer Assoc Cancer Research |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNIFESP instname:Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP |
instname_str |
Universidade Federal de São Paulo (UNIFESP) |
instacron_str |
UNIFESP |
institution |
UNIFESP |
reponame_str |
Repositório Institucional da UNIFESP |
collection |
Repositório Institucional da UNIFESP |
repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
biblioteca.csp@unifesp.br |
_version_ |
1814268404689797120 |