Literature DB >> 17621275

Gene expression and the biological phenotype of papillary thyroid carcinomas.

L Delys1, V Detours, B Franc, G Thomas, T Bogdanova, M Tronko, F Libert, J E Dumont, C Maenhaut.   

Abstract

The purpose of this paper is to correlate the molecular phenotype of papillary thyroid carcinoma (PTC) to their biological pathology. We hybridized 26 PTC on microarrays and showed that nearly 44% of the transcriptome was regulated in these tumors. We then combined our data set with two published PTC microarray studies to produce a platform- and study-independent list of PTC-associated genes. We further confirmed the mRNA regulation of 15 genes from this list by quantitative reverse transcription-PCR. Analysis of this list with statistical tools led to several conclusions: (1) there is a change in cell population with an increased expression of genes involved in the immune response, reflecting lymphocyte infiltration in the tumor compared to the normal tissue. (2) The c-jun N-terminal kinase pathway is activated by overexpression of its components. (3) The activation of ERKK1/2 by genetic alterations is supplemented by activation of the epidermal growth factor but not of the insulin-like growth factor signaling pathway. (4) There is a downregulation of immediate early genes. (5) We observed an overexpression of many proteases in accordance with tumor remodeling, and suggested a probable role of S100 proteins and annexin A2 in this process. (6) Numerous overexpressed genes favor the hypothesis of a collective migration mode of tumor cells.

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Year:  2007        PMID: 17621275     DOI: 10.1038/sj.onc.1210588

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  30 in total

1.  Collective cell migration of thyroid carcinoma cells: a beneficial ability to override unfavourable substrates.

Authors:  Liudmila Lobastova; Dominik Kraus; Alexander Glassmann; Dilaware Khan; Christian Steinhäuser; Christina Wolff; Nadine Veit; Jochen Winter; Rainer Probstmeier
Journal:  Cell Oncol (Dordr)       Date:  2016-11-08       Impact factor: 6.730

2.  A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases.

Authors:  Heather A Hirsch; Dimitrios Iliopoulos; Amita Joshi; Yong Zhang; Savina A Jaeger; Martha Bulyk; Philip N Tsichlis; X Shirley Liu; Kevin Struhl
Journal:  Cancer Cell       Date:  2010-04-13       Impact factor: 31.743

3.  Towards a systemic paradigm in carcinogenesis: linking epigenetics and genetics.

Authors:  Ernesto Burgio; Lucia Migliore
Journal:  Mol Biol Rep       Date:  2015-04       Impact factor: 2.316

4.  Gene network analysis of bone marrow mononuclear cells reveals activation of multiple kinase pathways in human systemic lupus erythematosus.

Authors:  Magdalene Nakou; George Bertsias; Ilias Stagakis; Michael Centola; Ioannis Tassiulas; Maria Hatziapostolou; Iraklis Kritikos; George Goulielmos; Dimitrios T Boumpas; Dimitrios Iliopoulos
Journal:  PLoS One       Date:  2010-10-14       Impact factor: 3.240

5.  Integrated ligand-receptor bioinformatic and in vitro functional analysis identifies active TGFA/EGFR signaling loop in papillary thyroid carcinomas.

Authors:  Debora Degl'Innocenti; Chiara Alberti; Giancarlo Castellano; Angela Greco; Claudia Miranda; Marco A Pierotti; Ettore Seregni; Maria Grazia Borrello; Silvana Canevari; Antonella Tomassetti
Journal:  PLoS One       Date:  2010-09-22       Impact factor: 3.240

6.  Murine microenvironment metaprofiles associate with human cancer etiology and intrinsic subtypes.

Authors:  David H Nguyen; Erik Fredlund; Wei Zhao; Charles M Perou; Allan Balmain; Jian-Hua Mao; Mary Helen Barcellos-Hoff
Journal:  Clin Cancer Res       Date:  2013-01-21       Impact factor: 12.531

7.  S100A1 expression in ovarian and endometrial endometrioid carcinomas is a prognostic indicator of relapse-free survival.

Authors:  Melissa S DeRycke; John D Andersen; Katherine M Harrington; Stefan E Pambuccian; Steve E Kalloger; Kristin L M Boylan; Peter A Argenta; Amy P N Skubitz
Journal:  Am J Clin Pathol       Date:  2009-12       Impact factor: 2.493

8.  Increasing the number of thyroid lesions classes in microarray analysis improves the relevance of diagnostic markers.

Authors:  Jean-Fred Fontaine; Delphine Mirebeau-Prunier; Mahatsangy Raharijaona; Brigitte Franc; Stephane Triau; Patrice Rodien; Olivier Goëau-Brissonniére; Lucie Karayan-Tapon; Marielle Mello; Rémi Houlgatte; Yves Malthiery; Frédérique Savagner
Journal:  PLoS One       Date:  2009-10-29       Impact factor: 3.240

9.  Isolation and molecular characterization of circulating melanoma cells.

Authors:  Xi Luo; Devarati Mitra; Ryan J Sullivan; Ben S Wittner; Anya M Kimura; Shiwei Pan; Mai P Hoang; Brian W Brannigan; Donald P Lawrence; Keith T Flaherty; Lecia V Sequist; Martin McMahon; Marcus W Bosenberg; Shannon L Stott; David T Ting; Sridhar Ramaswamy; Mehmet Toner; David E Fisher; Shyamala Maheswaran; Daniel A Haber
Journal:  Cell Rep       Date:  2014-04-18       Impact factor: 9.423

10.  Distinct Murine Pancreatic Transcriptomic Signatures during Chronic Pancreatitis Recovery.

Authors:  Yinjie Zhang; Baibing Yang; Joy M Davis; Madeline M Drake; Mamoun Younes; Qiang Shen; Zhongming Zhao; Yanna Cao; Tien C Ko
Journal:  Mediators Inflamm       Date:  2021-05-15       Impact factor: 4.711

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