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Identifying CASP8 polymorphisms associated with breast cancer risk in an Iranian population


23 Nov 2019


Poster display session


Alireza Pasdar


Annals of Oncology (2019) 30 (suppl_9): ix122-ix130. 10.1093/annonc/mdz431


A. Pasdar1, F. Afzaljavan2, F. Homaei Shandiz3, M.M. Kooshyar4

Author affiliations

  • 1 Department Of Genetics And Molecular Medicine, Mashhad University of Medical Science, 9193819154 - Mashhad/IR
  • 2 Department Of Genetics And Molecular Medicine, Mashhad University of Medical Sciences, Mashhad/IR
  • 3 Cancer Research Center, Mashhad University of Medical Sciences, Mashhad/IR
  • 4 Department Of Internal Medicine, Mshhad univaersity of Medical sciences, Mashhad/IR



Introduction: Breast Cancer is one of the most common cancer in Iranian women. Whole genome association study of breast cancer have recognized various single nucleotide polymorphisms (SNPs) that are related with increased breast cancer risk in the population. This study aimed at assessing the correlation between caspase-8 (CASP8) gene polymorphisms (rs3754934 and rs12990906) and the pathogenesis of breast cancer in Northeast of Iran.


In a case- control study a total of 450 breast cancer cases and 553 healthy subjects were included in this study. Polymorphisms were genotyped by amplification-refractory mutation system (ARMS). The chi-squared test was used to calculate Odds ratio (OR) with 95% confidence interval to determine the relationship between CASP8 polymorphisms and breast cancer risk.


According to the results, after adjustment for confounding factors, rs3754934 in dominant model (CA+AA vs. CC) [p = 0.004, OR = 0.49 95% CI (0.27-0.78)] and rs12990906 in allelic model (T vs. C) [p = 0.026, OR = 1.27, 95%CI (1.03-1.58)] were associated with the risk of breast cancer in this population. We did not find any association with breast cancer risk factors, clinical and pathologic features and prognosis and considered polymorphisms.


Polymorphisms of CASP8 gene may have a crucial role in association with the risk of breast cancer. However, further larger studies can confirm such findings. An understanding of the mode of action of these variants will aid individual-level breast cancer risk prediction.

Clinical trial identification

Editorial acknowledgement

The authors thank all participants in this research. We would also like to thank Mashhad University of Medical Sciences and Omid hospital to support the project.

Legal entity responsible for the study

Mashhad University of Medical Sciences.


Mashhad University of Medical Sciences.


All authors have declared no conflicts of interest.

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