Literature DB >> 32986379

Network-Based Analysis Reveals Association of FOXE1 Gene Polymorphisms in Thyroid Cancer Patients; A Case-Control Study in Southeast of Iran.

Ahmad Mehrazin1, Hossein Safarpour2, Seyedeh Tahmineh Davoudi3, Negin Parsamanesh4, Farhad Saeedi5, Ebrahim Miri-Moghaddam6.   

Abstract

Thyroid cancer (TC) is the mainly frequent endocrine cancer by different incidence rate in worldwide. However, early prediction of  this cancer is still challenging due to the unclear pathogenicity. In this study with the aid of systems biology approach, performed a holistic study on GSE65144 dataset containing anaplastic thyroid carcinoma tissues. Co-expression network analysis by WGCNA suggested that highly preserved turquoise module with 1,480 genes was significantly correlated to TC. Most of the top 54 hub-genes of this module are functionality correlated to thyroid hormone generation (GO:0006590). Of these 54 hub-genes, FOXE1 has been reported previously to contain mutation asosiated to TC and chosen for experimental validation step. To this end, we conducted a case-control study including 81 TC patients and 165 controls individuals to evaluate the effects of FOXE1 functional polymorphisms (rs1867277) on the development of TC in Sistan and Balouchestan province of Iran. The polymorphisms of FOXE1 gene (rs1867277) assessed by tetra-ARMS PCR technique. Homozygous (GG) and (AA) variant of rs1867277 polymorphism were detected in 26 (32.1%) and 15 (18.5 %) of TC patients, and 66 (40.0%), and 15 (9.1%) in controls, respectively (p-value= 0.03, OR= 2.53). The A allele frequency was 70 (43.2%) in TC patients and 114 (34.5%) in controls (p-value= 0.06, OR= 1.44). Overall, our results suggested that FOXE1 gene could be used as a prognostic marker in TC and also provides information related to FOXE1 functional polymorphisms (rs1867277) in Sistan and Balouchestan province of Iran.<br />.

Entities:  

Keywords:  FOXE1; Systems biology; Thyroid cancer; WGCNA

Mesh:

Substances:

Year:  2020        PMID: 32986379      PMCID: PMC7779442          DOI: 10.31557/APJCP.2020.21.9.2771

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  32 in total

1.  FOXE1 polymorphisms are associated with familial and sporadic nonmedullary thyroid cancer susceptibility.

Authors:  Rute A Tomaz; Inês Sousa; Joana G Silva; Catarina Santos; Manuel R Teixeira; Valeriano Leite; Branca M Cavaco
Journal:  Clin Endocrinol (Oxf)       Date:  2012-12       Impact factor: 3.478

2.  Increasing incidence of thyroid cancer in the United States, 1973-2002.

Authors:  Louise Davies; H Gilbert Welch
Journal:  JAMA       Date:  2006-05-10       Impact factor: 56.272

3.  Association of FOXE1 polyalanine repeat region with papillary thyroid cancer.

Authors:  Martyn Bullock; Emma L Duncan; Christine O'Neill; Lyndal Tacon; Mark Sywak; Stan Sidhu; Leigh Delbridge; Diana Learoyd; Bruce G Robinson; Marian Ludgate; Roderick J Clifton-Bligh
Journal:  J Clin Endocrinol Metab       Date:  2012-06-26       Impact factor: 5.958

4.  Genotype Analyses in the Japanese and Belarusian Populations Reveal Independent Effects of rs965513 and rs1867277 but Do Not Support the Role of FOXE1 Polyalanine Tract Length in Conferring Risk for Papillary Thyroid Carcinoma.

Authors:  Alyaksandr V Nikitski; Tatiana I Rogounovitch; Andrey Bychkov; Meiko Takahashi; Koh-Ichiro Yoshiura; Norisato Mitsutake; Takahisa Kawaguchi; Michiko Matsuse; Valentina M Drozd; Yuri Demidchik; Eijun Nishihara; Mitsuyoshi Hirokawa; Akira Miyauchi; Alexander V Rubanovich; Fumihiko Matsuda; Shunichi Yamashita; Vladimir A Saenko
Journal:  Thyroid       Date:  2016-12-15       Impact factor: 6.568

Review 5.  Pathogenetic mechanisms in thyroid follicular-cell neoplasia.

Authors:  Tetsuo Kondo; Shereen Ezzat; Sylvia L Asa
Journal:  Nat Rev Cancer       Date:  2006-04       Impact factor: 60.716

6.  An integrated regulatory network controlling survival and migration in thyroid organogenesis.

Authors:  Rosanna Parlato; Annamaria Rosica; Alina Rodriguez-Mallon; Andrea Affuso; Maria Pia Postiglione; Claudio Arra; Ahmed Mansouri; Shioko Kimura; Roberto Di Lauro; Mario De Felice
Journal:  Dev Biol       Date:  2004-12-15       Impact factor: 3.582

7.  Identification of Temporal Characteristic Networks of Peripheral Blood Changes in Alzheimer's Disease Based on Weighted Gene Co-expression Network Analysis.

Authors:  Runhong Tang; Huayan Liu
Journal:  Front Aging Neurosci       Date:  2019-05-21       Impact factor: 5.750

8.  Weighted gene co‑expression network analysis in identification of key genes and networks for ischemic‑reperfusion remodeling myocardium.

Authors:  Nan Guo; Nan Zhang; Liqiu Yan; Zheng Lian; Jiawang Wang; Fengfeng Lv; Yunfei Wang; Xufen Cao
Journal:  Mol Med Rep       Date:  2018-06-14       Impact factor: 2.952

9.  Weighted gene co‑expression network analysis for identifying hub genes in association with prognosis in Wilms tumor.

Authors:  Xiaofu Wang; Pan Song; Chuiguo Huang; Naijun Yuan; Xinghua Zhao; Changbao Xu
Journal:  Mol Med Rep       Date:  2019-01-21       Impact factor: 2.952

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