Detailed Information on Publication Record
2020
Copper Concentrations in Breast Cancer: A Systematic Review and Meta-Analysis
JOUYBARI, L., F. KIANI, F. ISLAMI, A. SANAGOO, F. SAYEHMIRI et. al.Basic information
Original name
Copper Concentrations in Breast Cancer: A Systematic Review and Meta-Analysis
Authors
JOUYBARI, L., F. KIANI, F. ISLAMI, A. SANAGOO (guarantor), F. SAYEHMIRI, B. HOSNEDLOVA, M. D. DOSA, René KIZEK (203 Czech Republic, belonging to the institution), S. CHIRUMBOLO and G. BJORKLUND
Edition
Current Medicinal Chemistry, Sharjah, Betham Science Publishers, 2020, 0929-8673
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30104 Pharmacology and pharmacy
Country of publisher
United Arab Emirates
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.530
RIV identification code
RIV/00216224:14160/20:00118452
Organization unit
Faculty of Pharmacy
UT WoS
000589111000005
Keywords in English
Copper; breast cancer; women; blood; breast tissue; hair analysis
Tags
International impact, Reviewed
Změněno: 25/3/2021 18:00, Mgr. Hana Hurtová
Abstract
V originále
Breast cancer is the most common neoplasm, comprising 16% of all women's cancers worldwide. Research of Copper (Cu) concentrations in various body specimens have suggested an association between Cu levels and breast cancer risks. This systematic review and meta-analysis summarize the results of published studies and examine this association. We searched the databases PubMed, Scopus, Web of Science, and Google Scholar and the reference lists of relevant publications. The Standardized Mean Differences (SMDs) between Cu levels in cancer cases and controls and corresponding Confidence Intervals (CIs), as well as I-2 statistics, were calculated to examine heterogeneity. Following the specimens used in the original studies, the Cu concentrations were examined in three subgroups: serum or plasma, breast tissue, and scalp hair. We identified 1711 relevant studies published from 1984 to 2017. There was no statistically significant difference between breast cancer cases and controls for Cu levels assayed in any studied specimen; the SMD (95% CI) was -0.01 (-1.06 - 1.03; P = 0.98) for blood or serum, 0.51 (-0.70 - 1.73; P = 0.41) for breast tissue, and -0.88 (-3.42 - 1.65; P = 0.50) for hair samples. However, the heterogeneity between studies was very high (P < 0.001) in all subgroups. We did not find evidence for publication bias (P = 0.91). The results of this meta-analysis do not support an association between Cu levels and breast cancer. However, due to high heterogeneity in the results of original studies, this conclusion needs to be confirmed by well-designed prospective studies.