Literature DB >> 18519760

Identification of genes differentially expressed in benign versus malignant thyroid tumors.

Nijaguna B Prasad1, Helina Somervell, Ralph P Tufano, Alan P B Dackiw, Michael R Marohn, Joseph A Califano, Yongchun Wang, William H Westra, Douglas P Clark, Christopher B Umbricht, Steven K Libutti, Martha A Zeiger.   

Abstract

PURPOSE: Although fine-needle aspiration biopsy is the most useful diagnostic tool in evaluating a thyroid nodule, preoperative diagnosis of thyroid nodules is frequently imprecise, with up to 30% of fine-needle aspiration biopsy cytology samples reported as "suspicious" or "indeterminate." Therefore, other adjuncts, such as molecular-based diagnostic approaches are needed in the preoperative distinction of these lesions. EXPERIMENTAL
DESIGN: In an attempt to identify diagnostic markers for the preoperative distinction of these lesions, we chose to study by microarray analysis the eight different thyroid tumor subtypes that can present a diagnostic challenge to the clinician.
RESULTS: Our microarray-based analysis of 94 thyroid tumors identified 75 genes that are differentially expressed between benign and malignant tumor subtypes. Of these, 33 were overexpressed and 42 were underexpressed in malignant compared with benign thyroid tumors. Statistical analysis of these genes, using nearest-neighbor classification, showed a 73% sensitivity and 82% specificity in predicting malignancy. Real-time reverse transcription-PCR validation for 12 of these genes was confirmatory. Western blot and immunohistochemical analyses of one of the genes, high mobility group AT-hook 2, further validated the microarray and real-time reverse transcription-PCR data.
CONCLUSIONS: Our results suggest that these 12 genes could be useful in the development of a panel of markers to differentiate benign from malignant tumors and thus serve as an important first step in solving the clinical problem associated with suspicious thyroid lesions.

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Year:  2008        PMID: 18519760      PMCID: PMC3086681          DOI: 10.1158/1078-0432.CCR-07-4495

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  49 in total

1.  Gene expression in papillary thyroid carcinoma reveals highly consistent profiles.

Authors:  Y Huang; M Prasad; W J Lemon; H Hampel; F A Wright; K Kornacker; V LiVolsi; W Frankel; R T Kloos; C Eng; N S Pellegata; A de la Chapelle
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

2.  Multiclass cancer diagnosis using tumor gene expression signatures.

Authors:  S Ramaswamy; P Tamayo; R Rifkin; S Mukherjee; C H Yeang; M Angelo; C Ladd; M Reich; E Latulippe; J P Mesirov; T Poggio; W Gerald; M Loda; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

3.  Gene expression profile of papillary thyroid cancer: sources of variability and diagnostic implications.

Authors:  Barbara Jarzab; Malgorzata Wiench; Krzysztof Fujarewicz; Krzysztof Simek; Michal Jarzab; Malgorzata Oczko-Wojciechowska; Jan Wloch; Agnieszka Czarniecka; Ewa Chmielik; Dariusz Lange; Agnieszka Pawlaczek; Sylwia Szpak; Elzbieta Gubala; Andrzej Swierniak
Journal:  Cancer Res       Date:  2005-02-15       Impact factor: 12.701

4.  Transcriptional upregulation of SPARC, in response to c-Jun overexpression, contributes to increased motility and invasion of MCF7 breast cancer cells.

Authors:  Joseph Briggs; Sandrine Chamboredon; Marc Castellazzi; Julie A Kerry; Timothy J Bos
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5.  The desmoplastic response to infiltrating breast carcinoma: gene expression at the site of primary invasion and implications for comparisons between tumor types.

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Journal:  Cancer Res       Date:  2006-05-01       Impact factor: 12.701

7.  Using gene expression profiling to differentiate benign versus malignant thyroid tumors.

Authors:  Chiara Mazzanti; Martha A Zeiger; Nick G Costouros; Christopher Umbricht; William H Westra; Danelle Smith; Helina Somervell; Generoso Bevilacqua; H Richard Alexander; Steven K Libutti; Nick Costourous
Journal:  Cancer Res       Date:  2004-04-15       Impact factor: 12.701

8.  Clinical features associated with an increased risk of thyroid malignancy in patients with follicular neoplasia by fine-needle aspiration.

Authors:  R M Tuttle; H Lemar; H B Burch
Journal:  Thyroid       Date:  1998-05       Impact factor: 6.568

9.  Prognostic value of quantitatively assessed KLK7 expression in ovarian cancer.

Authors:  Lianna G Kyriakopoulou; George M Yousef; Andreas Scorilas; Dionyssios Katsaros; Marco Massobrio; Stefano Fracchioli; Eleftherios P Diamandis
Journal:  Clin Biochem       Date:  2003-03       Impact factor: 3.281

10.  A random variance model for detection of differential gene expression in small microarray experiments.

Authors:  George W Wright; Richard M Simon
Journal:  Bioinformatics       Date:  2003-12-12       Impact factor: 6.937

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  33 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

2.  Mutant-specific BRAF and CD117 immunocytochemistry potentially facilitate risk stratification for papillary thyroid carcinoma in fine-needle aspiration biopsy specimens.

Authors:  Zhilan Meng; Junliang Lu; Huanwen Wu; Yu Zhao; Yufeng Luo; Jie Gao; Qingli Zhu; Yuxin Jiang; Wenbo Li; Zhiyong Liang
Journal:  Tumour Biol       Date:  2015-08-04

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Authors:  James A Fagin; Nicholas Mitsiades
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2008-12       Impact factor: 4.690

4.  Distinguishing molecular markers in thyroid tumors: a tribute to Dr. Orlo Clark.

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5.  Chromosomal amplification of leucine-rich repeat kinase-2 (LRRK2) is required for oncogenic MET signaling in papillary renal and thyroid carcinomas.

Authors:  Brendan D Looyenga; Kyle A Furge; Karl J Dykema; Julie Koeman; Pamela J Swiatek; Thomas J Giordano; Andrew B West; James H Resau; Bin T Teh; Jeffrey P MacKeigan
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6.  The combination of TP53INP1, TP53INP2 and AXIN2: potential biomarkers in papillary thyroid carcinoma.

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Review 7.  2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer.

Authors:  Bryan R Haugen; Erik K Alexander; Keith C Bible; Gerard M Doherty; Susan J Mandel; Yuri E Nikiforov; Furio Pacini; Gregory W Randolph; Anna M Sawka; Martin Schlumberger; Kathryn G Schuff; Steven I Sherman; Julie Ann Sosa; David L Steward; R Michael Tuttle; Leonard Wartofsky
Journal:  Thyroid       Date:  2016-01       Impact factor: 6.568

8.  β-arrestin deficiency protects against pulmonary fibrosis in mice and prevents fibroblast invasion of extracellular matrix.

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Journal:  Sci Transl Med       Date:  2011-03-16       Impact factor: 17.956

9.  Comparative analysis of signaling pathways in peripheral blood from patients with Kashin-Beck disease and osteoarthritis.

Authors:  Yujie Ning; Xi Wang; Sen Wang; Xiong Guo
Journal:  Exp Ther Med       Date:  2016-11-07       Impact factor: 2.447

10.  MiR-101 targets USP22 to inhibit the tumorigenesis of papillary thyroid carcinoma.

Authors:  Huadong Zhao; Haili Tang; Qike Huang; Bo Qiu; Xiaomin Liu; Dong Fan; Li Gong; Hang Guo; Chong Chen; Shixiong Lei; Lu Yang; Jianguo Lu; Guoqiang Bao
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