PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
dARK ID: | ark:/48912/0013000013grg |
DOI: | 10.1210/jc.2010-1318 |
Texto Completo: | http://dx.doi.org/10.1210/jc.2010-1318 http://repositorio.unifesp.br/handle/11600/33218 |
Resumo: | Context: A better means to accurately identify malignant thyroid nodules and to distinguish them from benign tumors is needed. We previously identified markers for detecting thyroid malignancy, with sensitivity estimated at or close to 100%. One lingering problem with these markers was that false positives occurred with Hurthle cell adenomas (HCA) which lowered test specificity.Methods: To locate accurate diagnostic markers, we profiled in depth the transcripts of a HCA and a Hurthle cell carcinoma (HCC). From 1146 differentially expressed genes, 18 transcripts specifically expressed in HCA were tested by quantitative PCR in a wide range of thyroid tumors (n = 76). Sensibility and specificity were calculated using receiver operating characteristic (ROC). Selected markers were further validated in an independent set of thyroid tumors (n = 82) by immunohistochemistry. To define the panel that would yield best diagnostic accuracy, these markers were tested in combination with our previous identified markers.Results: Seventeen of the 18 genes showed statistical significance based on a mean relative level of expression (P < 0.05). KLK1 (sensitivity = 0.97) and PVALB (sensitivity = 0.94) were the best candidate markers. the combination of PVALB and C1orf24 increased specificity to > 97% and maintained sensitivity for detection of carcinoma.Conclusion: We identified tumor markers that can be used in combination for a more accurate preoperative diagnosis of thyroid nodules and for postoperative diagnosis of thyroid carcinoma in tumor sections. This improved test would help physicians rapidly focus treatment on true malignancies and avoid unnecessary treatment of benign tumors, simultaneously improving medical care and reducing costs. (J Clin Endocrinol Metab 96: E151-E160, 2011) |
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PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene ExpressionContext: A better means to accurately identify malignant thyroid nodules and to distinguish them from benign tumors is needed. We previously identified markers for detecting thyroid malignancy, with sensitivity estimated at or close to 100%. One lingering problem with these markers was that false positives occurred with Hurthle cell adenomas (HCA) which lowered test specificity.Methods: To locate accurate diagnostic markers, we profiled in depth the transcripts of a HCA and a Hurthle cell carcinoma (HCC). From 1146 differentially expressed genes, 18 transcripts specifically expressed in HCA were tested by quantitative PCR in a wide range of thyroid tumors (n = 76). Sensibility and specificity were calculated using receiver operating characteristic (ROC). Selected markers were further validated in an independent set of thyroid tumors (n = 82) by immunohistochemistry. To define the panel that would yield best diagnostic accuracy, these markers were tested in combination with our previous identified markers.Results: Seventeen of the 18 genes showed statistical significance based on a mean relative level of expression (P < 0.05). KLK1 (sensitivity = 0.97) and PVALB (sensitivity = 0.94) were the best candidate markers. the combination of PVALB and C1orf24 increased specificity to > 97% and maintained sensitivity for detection of carcinoma.Conclusion: We identified tumor markers that can be used in combination for a more accurate preoperative diagnosis of thyroid nodules and for postoperative diagnosis of thyroid carcinoma in tumor sections. This improved test would help physicians rapidly focus treatment on true malignancies and avoid unnecessary treatment of benign tumors, simultaneously improving medical care and reducing costs. (J Clin Endocrinol Metab 96: E151-E160, 2011)Universidade Federal de São Paulo, Genet Bases Thyroid Tumor Lab, BR-04039032 São Paulo, BrazilUniversidade Federal de São Paulo, Dept Pathol, BR-04039032 São Paulo, BrazilUniv São Paulo, Dept Pathol, BR-04039032 São Paulo, BrazilUniv São Paulo, Dept Surg, BR-04039032 São Paulo, BrazilLudwig Inst Canc Res, Lab Computat Biol, São Paulo Branch, BR-01323903 São Paulo, BrazilJohns Hopkins Univ, Sch Med, Dept Neurosurg, Baltimore, MD 21231 USAUniversidade Federal de São Paulo, Genet Bases Thyroid Tumor Lab, BR-04039032 São Paulo, BrazilUniversidade Federal de São Paulo, Dept Pathol, BR-04039032 São Paulo, BrazilWeb of ScienceNational Institutes of HealthFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)National Institutes of Health: CA113461FAPESP: 05/60330-8Endocrine SocUniversidade Federal de São Paulo (UNIFESP)Universidade de São Paulo (USP)Ludwig Inst Canc ResJohns Hopkins UnivCerutti, Janete Maria [UNIFESP]Oler, Gisele [UNIFESP]Delcelo, Rosana [UNIFESP]Gerardt, ReneMichaluart, PedroSouza, Sandro J. deGalante, Pedro A. F.Huang, PengRiggins, Gregory J.2016-01-24T14:05:53Z2016-01-24T14:05:53Z2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionE151-E160http://dx.doi.org/10.1210/jc.2010-1318Journal of Clinical Endocrinology & Metabolism. Chevy Chase: Endocrine Soc, v. 96, n. 1, p. E151-E160, 2011.10.1210/jc.2010-13180021-972Xhttp://repositorio.unifesp.br/handle/11600/33218WOS:000288185400022ark:/48912/0013000013grgengJournal of Clinical Endocrinology & Metabolisminfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2016-01-24T12:05:53Zoai:repositorio.unifesp.br/:11600/33218Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-12-11T20:53:39.097189Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.none.fl_str_mv |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
title |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
spellingShingle |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression Cerutti, Janete Maria [UNIFESP] Cerutti, Janete Maria [UNIFESP] |
title_short |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
title_full |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
title_fullStr |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
title_full_unstemmed |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
title_sort |
PVALB, a New Hurthle Adenoma Diagnostic Marker Identified through Gene Expression |
author |
Cerutti, Janete Maria [UNIFESP] |
author_facet |
Cerutti, Janete Maria [UNIFESP] Cerutti, Janete Maria [UNIFESP] Oler, Gisele [UNIFESP] Delcelo, Rosana [UNIFESP] Gerardt, Rene Michaluart, Pedro Souza, Sandro J. de Galante, Pedro A. F. Huang, Peng Riggins, Gregory J. Oler, Gisele [UNIFESP] Delcelo, Rosana [UNIFESP] Gerardt, Rene Michaluart, Pedro Souza, Sandro J. de Galante, Pedro A. F. Huang, Peng Riggins, Gregory J. |
author_role |
author |
author2 |
Oler, Gisele [UNIFESP] Delcelo, Rosana [UNIFESP] Gerardt, Rene Michaluart, Pedro Souza, Sandro J. de Galante, Pedro A. F. Huang, Peng Riggins, Gregory J. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de São Paulo (UNIFESP) Universidade de São Paulo (USP) Ludwig Inst Canc Res Johns Hopkins Univ |
dc.contributor.author.fl_str_mv |
Cerutti, Janete Maria [UNIFESP] Oler, Gisele [UNIFESP] Delcelo, Rosana [UNIFESP] Gerardt, Rene Michaluart, Pedro Souza, Sandro J. de Galante, Pedro A. F. Huang, Peng Riggins, Gregory J. |
description |
Context: A better means to accurately identify malignant thyroid nodules and to distinguish them from benign tumors is needed. We previously identified markers for detecting thyroid malignancy, with sensitivity estimated at or close to 100%. One lingering problem with these markers was that false positives occurred with Hurthle cell adenomas (HCA) which lowered test specificity.Methods: To locate accurate diagnostic markers, we profiled in depth the transcripts of a HCA and a Hurthle cell carcinoma (HCC). From 1146 differentially expressed genes, 18 transcripts specifically expressed in HCA were tested by quantitative PCR in a wide range of thyroid tumors (n = 76). Sensibility and specificity were calculated using receiver operating characteristic (ROC). Selected markers were further validated in an independent set of thyroid tumors (n = 82) by immunohistochemistry. To define the panel that would yield best diagnostic accuracy, these markers were tested in combination with our previous identified markers.Results: Seventeen of the 18 genes showed statistical significance based on a mean relative level of expression (P < 0.05). KLK1 (sensitivity = 0.97) and PVALB (sensitivity = 0.94) were the best candidate markers. the combination of PVALB and C1orf24 increased specificity to > 97% and maintained sensitivity for detection of carcinoma.Conclusion: We identified tumor markers that can be used in combination for a more accurate preoperative diagnosis of thyroid nodules and for postoperative diagnosis of thyroid carcinoma in tumor sections. This improved test would help physicians rapidly focus treatment on true malignancies and avoid unnecessary treatment of benign tumors, simultaneously improving medical care and reducing costs. (J Clin Endocrinol Metab 96: E151-E160, 2011) |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 2016-01-24T14:05:53Z 2016-01-24T14:05:53Z |
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/10.1210/jc.2010-1318 Journal of Clinical Endocrinology & Metabolism. Chevy Chase: Endocrine Soc, v. 96, n. 1, p. E151-E160, 2011. 10.1210/jc.2010-1318 0021-972X http://repositorio.unifesp.br/handle/11600/33218 WOS:000288185400022 |
dc.identifier.dark.fl_str_mv |
ark:/48912/0013000013grg |
url |
http://dx.doi.org/10.1210/jc.2010-1318 http://repositorio.unifesp.br/handle/11600/33218 |
identifier_str_mv |
Journal of Clinical Endocrinology & Metabolism. Chevy Chase: Endocrine Soc, v. 96, n. 1, p. E151-E160, 2011. 10.1210/jc.2010-1318 0021-972X WOS:000288185400022 ark:/48912/0013000013grg |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Clinical Endocrinology & Metabolism |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
E151-E160 |
dc.publisher.none.fl_str_mv |
Endocrine Soc |
publisher.none.fl_str_mv |
Endocrine Soc |
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_ |
1822252113046011904 |
dc.identifier.doi.none.fl_str_mv |
10.1210/jc.2010-1318 |