Volume 3 Supplement 1

Abstracts of the Breast Cancer Immunotherapy Symposium (BRECIS): Sidra Symposia Series

Open Access

Haplotypes of SNPs associated with COX-2 and their comparison with histopathological features of breast cancer patients

  • Muniba Aban1,
  • Imran Siddqui2,
  • Muhammad Saboor1,
  • Shahid Pervez2 and
  • Tariq Moatter2
Journal for ImmunoTherapy of Cancer20153(Suppl 1):P9

DOI: 10.1186/2051-1426-3-S1-P9

Published: 14 August 2015

Introduction

In breast cancer, increased cyclooxygenase-2 expressions is associated with poor prognosis. COX-2 expression influences production of pro-inflammatory prostaglandins. The present study investigated association between COX-2 promoter polymorphisms (rs689465, rs689466, rs20417) and histopathological features of breast cancer patients.

Methods

We selected 150 HER-2 amplification positive breast cancer patients from our previous case-control study. The participants were evaluated for histopathological features and genotyped for COX-2 SNPs. Comparisons of genotype data with histopathological characteristics were performed by chi square test. Logistic regression was applied for estimation of odd ratios. COX-2 protein level and other markers were assessed by immunohistochemical staining. Statistical analyses were performed using SPSS version 19.0 and p value was set at <0.05.

Results

Our data showed that elevated COX-2 expression was significantly associated with HER-2 amplified tumours. In addition, a positive association between rs20417 (GC+CC) and estrogens receptor (OR: 0.383, 0.161-0.913, P: 0.030) and IDC tumour (OR: 0.264, 0.070-0.993, P: 0.049) was noted. Eight haplotypes were deduced and associations with tumour size (P: 0.030), HER-2 amplification (P: < 0.0001), ER positivity (P: 0.017) were observed.

Conclusion

Present study suggests that COX-2 expression and haplotypes of its associated SNPs should be considered for characterizing breast cancer prognosis.

Authors’ Affiliations

(1)
Pathology, Baqai Medical University
(2)
Molecular Pathology, Aga khan University and Hospital

Copyright

© Aban et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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