Literature DB >> 20416453

c-MET pathway involvement in chronic rhinosinusitis: a genetic association analysis.

Roberto Castano1, Yohan Bossé, Leandra Mfuna Endam, Abdelali Filali-Mouhim, Martin Desrosiers.   

Abstract

OBJECTIVE: The c-MET receptor and its ligand hepatocyte growth factor (HGF) has been shown to be overexpressed in tissue from chronic rhinosinusitis (CRS) patients with nasal polyps compared with that from controls. We assessed the genetic association of polymorphisms in the met proto-oncogene (MET) gene with CRS. STUDY
DESIGN: Case-control genetic association study.
SETTING: Tertiary-care university hospital. SUBJECTS AND METHODS: A total of 206 unrelated Canadian patients with CRS and 196 control subjects were enrolled. Subjects were genotyped for 33 polymorphisms in the MET gene.
RESULTS: The allelic association analysis showed eight single nucleotide polymorphisms in the MET gene (rs38850, rs38855, rs38857, rs2237717, rs2402118, rs193688, rs1621, rs42336) with a statistically significant association with CRS. The rs38850 T allele showed the strongest association and the highest risk for CRS (P = 0.004; odds ratio 1.65, 95% confidence interval 1.18-2.32); the association did not reach statistical significance after adjustment for genomic control (P = 0.06). The haplotype TGG constructed of markers rs38850, rs38855, and rs38857 represented a risk haplotype, resulting in a P value of 0.003 that remained significant after correction for multiple testing (P = 0.018).
CONCLUSION: These data suggest that polymorphisms in the MET gene may play a role in the susceptibility to develop CRS. Study findings apply to patients with severe CRS unresponsive to surgery. Copyright 2010 American Academy of Otolaryngology-Head and Neck Surgery Foundation. Published by Mosby, Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20416453     DOI: 10.1016/j.otohns.2010.01.004

Source DB:  PubMed          Journal:  Otolaryngol Head Neck Surg        ISSN: 0194-5998            Impact factor:   3.497


  9 in total

Review 1.  Genetics of rhinosinusitis.

Authors:  Leandra Mfuna-Endam; Yuan Zhang; Martin Y Desrosiers
Journal:  Curr Allergy Asthma Rep       Date:  2011-06       Impact factor: 4.806

2.  The balance between HGF and TGF-β1 acts as a switch in the tissue remodeling of chronic rhinosinusitis.

Authors:  Jing Li; Xiang Liu; Min Sha; Yong Li
Journal:  Int J Clin Exp Pathol       Date:  2019-03-01

Review 3.  Genetics of chronic rhinosinusitis: state of the field and directions forward.

Authors:  Joy Hsu; Pedro C Avila; Robert C Kern; M Geoffrey Hayes; Robert P Schleimer; Jayant M Pinto
Journal:  J Allergy Clin Immunol       Date:  2013-04       Impact factor: 10.793

4.  Polymorphisms in RYBP and AOAH genes are associated with chronic rhinosinusitis in a Chinese population: a replication study.

Authors:  Yuan Zhang; Leandra Mfuna Endam; Abdelali Filali-Mouhim; Liping Zhao; Martin Desrosiers; Demin Han; Luo Zhang
Journal:  PLoS One       Date:  2012-06-19       Impact factor: 3.240

Review 5.  Role of innate immunity in the pathogenesis of chronic rhinosinusitis: progress and new avenues.

Authors:  Cornelis M van Drunen; Jenny M Mjösberg; Christine L Segboer; Marjolein E Cornet; Wytske J Fokkens
Journal:  Curr Allergy Asthma Rep       Date:  2012-04       Impact factor: 4.806

6.  ICON: chronic rhinosinusitis.

Authors:  Claus Bachert; Ruby Pawankar; Luo Zhang; Chaweewan Bunnag; Wytske J Fokkens; Daniel L Hamilos; Orathai Jirapongsananuruk; Robert Kern; Eli O Meltzer; Joaquim Mullol; Robert Naclerio; Renata Pilan; Chae-Seo Rhee; Harumi Suzaki; Richard Voegels; Michael Blaiss
Journal:  World Allergy Organ J       Date:  2014-10-27       Impact factor: 4.084

Review 7.  A role for auto-immunity in chronic rhinosinusitis? Lessons learned from sub-epidermal bullous disorders of the skin.

Authors:  Philippe Lefrançois; Hugo Chapdelaine; Benoît Côté; Martin Desrosiers
Journal:  Allergy Asthma Clin Immunol       Date:  2016-08-05       Impact factor: 3.406

8.  Comparison of machine learning tools for the prediction of AMD based on genetic, age, and diabetes-related variables in the Chinese population.

Authors:  Shaofeng Hao; Junye Bai; Huimin Liu; Lijun Wang; Tao Liu; Chaobin Lin; Xiangguang Luo; Junhui Gao; Jiangman Zhao; Huilin Li; Hui Tang
Journal:  Regen Ther       Date:  2020-09-29       Impact factor: 3.419

9.  Association Analysis of MET Gene Polymorphism with Papillary Thyroid Carcinoma in a Chinese Population.

Authors:  Lifeng Ning; Yaqin Yu; Xiaoli Liu; Lizhe Ai; Xin Zhang; Wenwang Rao; Jieping Shi; Hui Sun; Qiong Yu
Journal:  Int J Endocrinol       Date:  2015-11-15       Impact factor: 3.257

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.