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Functional analysis of polymorphisms in the COX-2 gene and risk of lung cancer

Authors :
Mauro Zamboni
José Roberto Lapa e Silva
Amanda B. Moraes
Veronica Aran
Cinthya Sternberg
Joyce L. Moraes
Luciene Schluckbier
Emanuela de Moraes
Marcelo Ribeiro Alves
Edson Toscano
Carlos Gil Ferreira
Mariana Lemos Duarte
Source :
Molecular and Clinical Oncology
Publication Year :
2017
Publisher :
Spandidos Publications, 2017.

Abstract

The enzyme cyclooxygenase 2 (COX-2) is known to be involved in tumorigenesis and metastasis in certain types of cancer. Nevertheless, the prognostic value of COX-2 overexpression and its polymorphisms in patients with non-small cell lung cancer (NSCLC) have yet to be fully elucidated. The aim of the present study was to investigate the association between the three most commonly studied COX-2 gene polymorphisms (−1195 G/A, −765 G/C and 8473 T/C) with COX-2 expression and lung cancer risk in a Brazilian cohort. In the present hospital based, case-control retrospective study, 104 patients with NSCLC and 202 cancer free control subjects were genotyped for −1195 G/A, −765 G/C and 8473 T/C polymorphisms using allelic discrimination with a reverse transcription quantitative polymerase chain reaction method. COX-2 mRNA expression was analyzed in surgically resected tumors from 34 patients with NSCLC. The results revealed that COX-2 expression levels were higher in tumor tissue compared with normal lung tissue. However, this overexpression of COX-2 was not associated with the patient outcome, and furthermore, none of the analyzed polymorphisms were associated with the risk of developing lung cancer, COX-2 overexpression, or the overall survival of the patients with NSCLC. Taken together, the findings described in the present study do not support a major role for COX-2 polymorphisms and COX-2 overexpression in lung carcinogenesis within the Brazilian population.

Details

ISSN :
20499469 and 20499450
Volume :
6
Database :
OpenAIRE
Journal :
Molecular and Clinical Oncology
Accession number :
edsair.doi.dedup.....08b14a5eb0fdb28d232cb8035d10956d
Full Text :
https://doi.org/10.3892/mco.2017.1167