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Volume 2, Issue 2 (Suppl) Breast Can Curr Res
ISSN: 2572-4118 BCCR, an open access journal Breast Cancer Summit 2017
May 08-10, 2017
May 08-10, 2017 Singapore
4th World Congress on
Breast Cancer
Xenobiotic zinc as a biomarker for breast cancer: Ameta-analysis study
Kourosh Sayehmiri1, Fatemeh Sayehmiri4, Akbar Akbari2, Geir Bjørklund 3, Faezeh Kiani1, Mostafa Rezaei-Tavirani4 and Marzieh Saei Ghare naz4
1Medical University of Ilam, Iran
2Abadan School of Medical Sciences, Iran
3Council for Nutritional and Environmental Medicine, Norway
4Shahid Beheshti University of Medical Sciences and Health Services, Iran
Different studies indicate some discrepancies regarding zinc (Zn) levels in various samples of breast cancer patients. Several
researchers have shown blood and hair levels of Zn decrease in patients dealing with breast cancer while others have found
the opposite. The present study analyzes the Zn level of breast tissue, plasma or serum and hair samples and its relationship with
breast cancer using meta-analysis method. In the present meta-analysis of 31 articles, which are published in the years 1984 to 2015
selected by search in PubMed, Scopus and Google Scholar databases and information analyzed I² statistics were calculated to examine
heterogeneity. The analysis was performed on 31 studies of including 1699 cases and 2009 controls participants. In the present study
we observed significant statistical difference overall base on random effects model (SMD (95% CI): -0.78[-1.40, -0.16]; P=0.014).
Data from 19 studies were the significant statistical difference between serum and plasma Zn concentration (SMD (95%CI): -1.61(-
2.43, -0.79)). There was significant statistical difference between breast tissue and hair with Zn statuses (SMD (95%CI): 2.32(1.42,
3.21)) and (SMD (95%CI): -1.80 (-3.41, -0.20) respectively. It can be concluded that there is a significant relationship between Zn
concentration and breast cancer risk.
Conclusions: This meta-analysis study provides evidence that the difference between Zn level in serum, hair and breast tissue among
individuals with and without breast cancer is significant.
Biography
Kourosh Sayehmiri has expertise in design and analysis of systematic review and meta-analysis studies in breast cancer. He also performs several research in field
of risk factors of breast cancer, survival analysis of breast cancer patients using cox proportional hazard models and accelerated failure time models
Kourosh Sayehmiri et al., Breast Can Curr Res 2017, 2:2(Suppl)