Literature DB >> 18261626

Identification of immunohistochemical biomarkers for papillary thyroid carcinoma using gene expression profiling.

Kathleen M Murphy1, Frank Chen, Douglas P Clark.   

Abstract

We report the successful validation of a combined gene expression profiling and tissue microarray approach to papillary thyroid carcinoma (PTC) biomarker identification. Our ultimate goal is the identification of protein biomarkers that can be effectively used in immunocytochemical assays applied to thyroid fine needle aspiration biopsy (FNAB) samples. To that end, we designed our approach to prioritize molecules that were minimally expressed in normal thyroid and highly expressed in PTC. We first generated gene expression profiles from 11 normal thyroid tissue samples and 9 samples of classic PTC. The results were segregated to rank most highly those molecules not expressed in normal thyroid and up-regulated at least 6-fold in PTC. From this list, we chose 2 molecules (P-cadherin and Bax) for immunohistochemical analysis for which commercial antibodies were available. These were compared with 2 other molecules that have been previously studied in thyroid cancer (cytokeratin-19 and galectin-3). For immunohistochemistry, a tissue microarray was generated that contained the following tissues: classic PTC (n = 20), follicular variant of PTC (n = 9), normal thyroid (n = 19), Hashimoto thyroiditis (n = 11), follicular adenoma (n = 15), and follicular carcinoma (n = 14). Immunohistochemical staining was scored and compared with the gene expression profiling. As anticipated, cytokeratin-19 and galectin-3 were highly expressed in PTC and less expressed in other tissues. Bax and P-cadherin were also expressed in PTC, but to a lower level than cytokeratin-19 and galectin-3; however, Bax and P-cadherin demonstrated virtually no staining of normal thyroid, unlike cytokeratin-19 and galectin-3. These results validate our approach for PTC biomarker discovery and identify several candidate biomarkers for further development.

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Year:  2008        PMID: 18261626     DOI: 10.1016/j.humpath.2007.07.015

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  5 in total

1.  Three-gene molecular diagnostic model for thyroid cancer.

Authors:  Nijaguna B Prasad; Jeanne Kowalski; Hua-Ling Tsai; Kristin Talbot; Helina Somervell; Guennadi Kouniavsky; Yongchun Wang; Alan P B Dackiw; William H Westra; Douglas P Clark; Steven K Libutti; Christopher B Umbricht; Martha A Zeiger
Journal:  Thyroid       Date:  2012-01-26       Impact factor: 6.568

Review 2.  Diagnostic utility of galectin-3 in thyroid cancer.

Authors:  Connie G Chiu; Scott S Strugnell; Obi L Griffith; Steven J M Jones; Allen M Gown; Blair Walker; Ivan R Nabi; Sam M Wiseman
Journal:  Am J Pathol       Date:  2010-04-02       Impact factor: 4.307

3.  Phenotypic changes of the thyrocyte membrane in papillary thyroid carcinoma. A three-dimensional study.

Authors:  A Crescenzi; S Taccogna; L Turrini; D Cicciarella Modica; E Papini; A Gallo; L Guidobaldi; G Zelano; C Giannakakis; F Nardi
Journal:  J Endocrinol Invest       Date:  2010-09-17       Impact factor: 4.256

Review 4.  Expression of CK-19, galectin-3 and HBME-1 in the differentiation of thyroid lesions: systematic review and diagnostic meta-analysis.

Authors:  Leandro Luongo de Matos; Adriana Braz Del Giglio; Carolina Ogawa Matsubayashi; Michelle de Lima Farah; Auro Del Giglio; Maria Aparecida da Silva Pinhal
Journal:  Diagn Pathol       Date:  2012-08-13       Impact factor: 2.644

5.  Defining the value of CD56, CK19, Galectin 3 and HBME-1 in diagnosis of follicular cell derived lesions of thyroid with systematic review of literature.

Authors:  Duško Dunđerović; Jasmina Marković Lipkovski; Ivan Boričic; Ivan Soldatović; Vesna Božic; Dubravka Cvejić; Svetislav Tatić
Journal:  Diagn Pathol       Date:  2015-10-26       Impact factor: 2.644

  5 in total

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