Literature DB >> 18316623

Discovery and validation of protein abundance differences between follicular thyroid neoplasms.

Romana T Netea-Maier1, Stephen W Hunsucker, Brigiet M Hoevenaars, Steve M Helmke, Pieter J Slootweg, Ad R Hermus, Bryan R Haugen, Mark W Duncan.   

Abstract

Distinguishing between benign follicular thyroid adenoma (FTA) and malignant follicular thyroid carcinoma (FTC) by cytologic features alone is not possible. Molecular markers may aid distinguishing FTA from FTC in patients with indeterminate cytology. The aim of this study is to define protein abundance differences between FTC from FTA through a discovery (proteomics) and validation (immunohistochemistry) approach. Difference gel electrophoresis (DIGE) and peptide mass fingerprinting were performed on protein extracts from five patients with FTC and compared with six patients with FTA. Individual gel comparisons (i.e., each FTC extract versus FTA pool) were also performed for the five FTC patients. Immunohistochemical validation studies were performed on three of the identified proteins. Based on DIGE images, 680 protein spots were matched on individual gels. Of these, 102 spots showed statistically significant differences in abundance between FTC and FTA in the individual gel analyses and were therefore studied further. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry was used to identify 54 of these protein spots. Three candidates involved in protein folding (heat shock protein gp96, protein disulfide isomerase A3, and calreticulin) were studied by immunohistochemistry. Moderate calreticulin immunohistochemical staining was the best single marker with a high negative predictive value (88%); combining all three markers (any marker less than moderate staining) had the best positive predictive value (75%) while still retaining a good negative predictive value (68%). With DIGE, we identified 54 proteins differentially abundant between FTC and FTA. Three of these were validated by immunohistochemistry. These findings provide further insights into the diagnosis, prognosis, and pathophysiology of follicular-derived thyroid neoplasms.

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Year:  2008        PMID: 18316623     DOI: 10.1158/0008-5472.CAN-07-5020

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  19 in total

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Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

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Authors:  H S Porterfield; K S Murray; D G Schlichting; X Chen; K C Hansen; M W Duncan; S C Dreskin
Journal:  Clin Exp Allergy       Date:  2009-05-11       Impact factor: 5.018

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Journal:  Front Oncol       Date:  2021-06-16       Impact factor: 6.244

10.  Increased expression of phosphatidylcholine (16:0/18:1) and (16:0/18:2) in thyroid papillary cancer.

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Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

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