Literature DB >> 18202778

Differentiation of human follicular thyroid adenomas from carcinomas by gene expression profiling.

Jianming Zhao1, Christa Leonard, Ernst Gemsenjäger, Philipp U Heitz, Holger Moch, Bernhard Odermatt.   

Abstract

It is difficult to distinguish benign from malignant follicular thyroid tumors by histological or cytological examination. The goal of this study was to reveal gene expression variations between benign and malignant follicular lesions of the thyroid gland. We investigated gene expression profiles from 24 follicular thyroid tumors (12 carcinomas and 12 adenomas) and 13 normal thyroid tissues using high-density human cDNA arrays. The identification of gene expression changes was based on signal intensity ratios of tumor versus normal thyroid parenchyma. Expression patterns of a set of known genes were found to be significantly different between follicular adenomas and follicular carcinomas. Our results demonstrate a potential use of gene expression profiling for differentiating benign from malignant follicular thyroid tumors. A detailed investigation of the differentially expressed genes could give new insights into molecular pathways of malignant transformation of thyroid follicular neoplasm and may help to develop a molecular tool for the preoperative differential diagnosis.

Entities:  

Mesh:

Year:  2008        PMID: 18202778

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  6 in total

1.  Differential gene expression profiling of aggressive and nonaggressive follicular carcinomas.

Authors:  Michelle D Williams; Li Zhang; Danielle D Elliott; Nancy D Perrier; Guillermina Lozano; Gary L Clayman; Adel K El-Naggar
Journal:  Hum Pathol       Date:  2011-03-21       Impact factor: 3.466

2.  Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images.

Authors:  Wei Wang; John A Ozolek; Gustavo K Rohde
Journal:  Cytometry A       Date:  2010-05       Impact factor: 4.355

3.  Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning.

Authors:  John A Ozolek; Akif Burak Tosun; Wei Wang; Cheng Chen; Soheil Kolouri; Saurav Basu; Hu Huang; Gustavo K Rohde
Journal:  Med Image Anal       Date:  2014-04-21       Impact factor: 8.545

4.  Comparison of microarray expression profiles between follicular variant of papillary thyroid carcinomas and follicular adenomas of the thyroid.

Authors:  Hans-Juergen Schulten; Zuhoor Al-Mansouri; Ibtisam Baghallab; Nadia Bagatian; Ohoud Subhi; Sajjad Karim; Hosam Al-Aradati; Abdulmonem Al-Mutawa; Adel Johary; Abdulrahman A Meccawy; Khalid Al-Ghamdi; Osman Al-Hamour; Mohammad Hussain Al-Qahtani; Jaudah Al-Maghrabi
Journal:  BMC Genomics       Date:  2015-01-15       Impact factor: 3.969

5.  Follicular adenomas exhibit a unique metabolic profile. ¹H NMR studies of thyroid lesions.

Authors:  Stanisław Deja; Tomasz Dawiskiba; Waldemar Balcerzak; Magdalena Orczyk-Pawiłowicz; Mateusz Głód; Dorota Pawełka; Piotr Młynarz
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

6.  Gene Expression (mRNA) Markers for Differentiating between Malignant and Benign Follicular Thyroid Tumours.

Authors:  Bartosz Wojtas; Aleksandra Pfeifer; Malgorzata Oczko-Wojciechowska; Jolanta Krajewska; Agnieszka Czarniecka; Aleksandra Kukulska; Markus Eszlinger; Thomas Musholt; Tomasz Stokowy; Michal Swierniak; Ewa Stobiecka; Ewa Chmielik; Dagmara Rusinek; Tomasz Tyszkiewicz; Monika Halczok; Steffen Hauptmann; Dariusz Lange; Michal Jarzab; Ralf Paschke; Barbara Jarzab
Journal:  Int J Mol Sci       Date:  2017-06-02       Impact factor: 5.923

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.