Literature DB >> 24880201

Carbonic anhydrase 4 and crystallin α-B immunoreactivity may distinguish benign from malignant thyroid nodules in patients with indeterminate thyroid cytology.

Tomer Davidov1, Michael Nagar2, Malca Kierson3, Marina Chekmareva4, Chunxia Chen5, Shou-en Lu5, Yong Lin5, Victoriya Chernyavsky6, Lindsay Potdevin6, Dena Arumugam6, Nicola Barnard4, Stanley Trooskin6.   

Abstract

BACKGROUND: Thyroid nodules are present in 19%-67% of the population and carry a 5%-10% risk of malignancy. Unfortunately, fine-needle aspiration biopsies are indeterminate in 20%-30% of patients, often necessitating thyroid surgery for diagnosis. Numerous DNA microarray studies including a recently commercialized molecular classifier have helped to better distinguish benign from malignant thyroid nodules. Unfortunately, these assays often require probes for >100 genes, are expensive, and only available at a few laboratories. We sought to validate these DNA microarray assays at the protein level and determine whether simple and widely available immunohistochemical biomarkers alone could distinguish benign from malignant thyroid nodules.
METHODS: A tissue microarray (TMA) composed of 26 follicular thyroid carcinomas (FTCs) and 53 follicular adenomas (FAs) from patients with indeterminate thyroid nodules was stained with 17 immunohistochemical biomarkers selected based on prior DNA microarray studies. Antibodies used included galectin 3, growth and differentiation factor 15, protein convertase 2, cluster of differentiation 44 (CD44), glutamic oxaloacetic transaminase 1 (GOT1), trefoil factor 3 (TFF3), Friedreich Ataxia gene (X123), fibroblast growth factor 13 (FGF13), carbonic anhydrase 4 (CA4), crystallin alpha-B (CRYAB), peptidylprolyl isomerase F (PPIF), asparagine synthase (ASNS), sodium channel, non-voltage gated, 1 alpha subunit (SCNN1A), frizzled homolog 1 (FZD1), tyrosine related protein 1 (TYRP1), E cadherin, type 1 (ECAD), and thyroid hormone receptor associated protein 220 (TRAP220). Of note, two of these biomarkers (GOT1 and CD44) are now used in the Afirma classifier assay. We chose to compare specifically FTC versus FA rather than include all histologic categories to create a more uniform immunohistochemical comparison. In addition, we have found that most papillary thyroid carcinoma could often be reasonably distinguished from benign disease by morphological cytology findings alone.
RESULTS: Increased immunoreactivity of CRYAB was associated with thyroid malignancy (c-statistic, 0.644; negative predictive value [NPV], 0.90) and loss of immunoreactivity of CA4 was also associated with malignancy (c-statistic, 0.715; NPV, 0.90) in indeterminate thyroid specimens. The combination of CA4 and CRYAB for discriminating FTC from FA resulted in a better c-statistic of 0.75, sensitivity of 0.76, specificity of 0.59, positive predictive value (PPV) of 0.32, and NPV of 0.91. When comparing widely angioinvasive FTC from FA, the resultant c-statistic improved to 0.84, sensitivity of 0.75, specificity of 0.76, PPV of 0.11, and NPV of 0.99.
CONCLUSIONS: Loss of CA4 and increase in CRYAB immunoreactivity distinguish FTC from FA in indeterminate thyroid nodules on a thyroid TMA with an NPV of 91%. Further studies in preoperative patient fine needle aspiration (FNAs) are needed to validate these results.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CA4; CRYAB; Follicular neoplasm; Follicular thyroid carcinoma; Indeterminate cytology; Molecular markers; Thyroid

Mesh:

Substances:

Year:  2014        PMID: 24880201      PMCID: PMC5767464          DOI: 10.1016/j.jss.2014.03.042

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  40 in total

1.  Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer.

Authors:  David S Cooper; Gerard M Doherty; Bryan R Haugen; Bryan R Hauger; Richard T Kloos; Stephanie L Lee; Susan J Mandel; Ernest L Mazzaferri; Bryan McIver; Furio Pacini; Martin Schlumberger; Steven I Sherman; David L Steward; R Michael Tuttle
Journal:  Thyroid       Date:  2009-11       Impact factor: 6.568

2.  Increasing incidence of thyroid cancer in the United States, 1973-2002.

Authors:  Louise Davies; H Gilbert Welch
Journal:  JAMA       Date:  2006-05-10       Impact factor: 56.272

3.  Preoperative diagnosis of benign thyroid nodules with indeterminate cytology.

Authors:  Erik K Alexander; Giulia C Kennedy; Zubair W Baloch; Edmund S Cibas; Darya Chudova; James Diggans; Lyssa Friedman; Richard T Kloos; Virginia A LiVolsi; Susan J Mandel; Stephen S Raab; Juan Rosai; David L Steward; P Sean Walsh; Jonathan I Wilde; Martha A Zeiger; Richard B Lanman; Bryan R Haugen
Journal:  N Engl J Med       Date:  2012-06-25       Impact factor: 91.245

Review 4.  Thyroid carcinoma.

Authors:  Steven I Sherman
Journal:  Lancet       Date:  2003-02-08       Impact factor: 79.321

5.  Expression of PAX8-PPAR gamma 1 rearrangements in both follicular thyroid carcinomas and adenomas.

Authors:  Ana Rita Marques; Carla Espadinha; Ana L Catarino; Sónia Moniz; Teresa Pereira; Luís G Sobrinho; Valeriano Leite
Journal:  J Clin Endocrinol Metab       Date:  2002-08       Impact factor: 5.958

6.  Discrimination of benign and malignant thyroid nodules by molecular profiling.

Authors:  David J Finley; Baixin Zhu; Catherine B Barden; Thomas J Fahey
Journal:  Ann Surg       Date:  2004-09       Impact factor: 12.969

Review 7.  Clinical review: Prevalence and incidence of endocrine and metabolic disorders in the United States: a comprehensive review.

Authors:  Sherita H Golden; Karen A Robinson; Ian Saldanha; Blair Anton; Paul W Ladenson
Journal:  J Clin Endocrinol Metab       Date:  2009-06       Impact factor: 5.958

8.  Galectin-3-expression analysis in the surgical selection of follicular thyroid nodules with indeterminate fine-needle aspiration cytology: a prospective multicentre study.

Authors:  Armando Bartolazzi; Fabio Orlandi; Enrico Saggiorato; Marco Volante; Federico Arecco; Ruth Rossetto; Nicola Palestini; Ezio Ghigo; Mauro Papotti; Gianni Bussolati; Marco Paolo Martegani; Federico Pantellini; Angelo Carpi; Maria Rosaria Giovagnoli; Salvatore Monti; Vincenzo Toscano; Salvatore Sciacchitano; Gian Maria Pennelli; Caterina Mian; Maria Rosa Pelizzo; Massimo Rugge; Giancarlo Troncone; Lucio Palombini; Gennaro Chiappetta; Gerardo Botti; Aldo Vecchione; Rino Bellocco
Journal:  Lancet Oncol       Date:  2008-05-19       Impact factor: 41.316

9.  A PCR-based expression signature of malignancy in follicular thyroid tumors.

Authors:  Theodoros Foukakis; Arief Gusnanto; Amy Y M Au; Anders Höög; Weng-Onn Lui; Catharina Larsson; Göran Wallin; Jan Zedenius
Journal:  Endocr Relat Cancer       Date:  2007-06       Impact factor: 5.678

10.  Alpha B-crystallin is a new prognostic marker for laryngeal squamous cell carcinoma.

Authors:  Yuan Mao; Da-Wei Zhang; Hong Lin; Lin Xiong; Ying Liu; Qing-Dong Li; Jun Ma; Qing Cao; Ren-Jie Chen; Jin Zhu; Zhen-Qing Feng
Journal:  J Exp Clin Cancer Res       Date:  2012-12-12
View more
  4 in total

Review 1.  αB-crystallin: Portrait of a malignant chaperone as a cancer therapeutic target.

Authors:  Dmitry Malin; Vladimir Petrovic; Elena Strekalova; Bhawna Sharma; Vincent L Cryns
Journal:  Pharmacol Ther       Date:  2016-01-25       Impact factor: 12.310

2.  Proteomic profile and in silico analysis in metastatic melanoma with and without BRAF mutation.

Authors:  Vito Michele Garrisi; Sabino Strippoli; Simona De Summa; Rosamaria Pinto; Antonella Perrone; Gabriella Guida; Amalia Azzariti; Michele Guida; Stefania Tommasi; Tommasi Stefania
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

3.  RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer.

Authors:  Jesús Espinal-Enríquez; Cristóbal Fresno; Guillermo Anda-Jáuregui; Enrique Hernández-Lemus
Journal:  Sci Rep       Date:  2017-05-11       Impact factor: 4.379

4.  Stratification of follicular thyroid tumours using data-independent acquisition proteomics and a comprehensive thyroid tissue spectral library.

Authors:  Yaoting Sun; Lu Li; Yan Zhou; Weigang Ge; He Wang; Runxin Wu; Wei Liu; Hao Chen; Qi Xiao; Xue Cai; Zhen Dong; Fangfei Zhang; Junhong Xiao; Guangzhi Wang; Yi He; Jinlong Gao; Oi Lian Kon; Narayanan Gopalakrishna Iyer; Haixia Guan; Xiaodong Teng; Yi Zhu; Yongfu Zhao; Tiannan Guo
Journal:  Mol Oncol       Date:  2022-03-12       Impact factor: 7.449

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.