JOUYBARI, L., F. KIANI, F. ISLAMI, A. SANAGOO, F. SAYEHMIRI, B. HOSNEDLOVA, M. D. DOSA, René KIZEK, S. CHIRUMBOLO and G. BJORKLUND. Copper Concentrations in Breast Cancer: A Systematic Review and Meta-Analysis. Current Medicinal Chemistry. Sharjah: Betham Science Publishers, 2020, vol. 27, No 37, p. 6373-6383. ISSN 0929-8673. Available from: https://dx.doi.org/10.2174/0929867326666190918120209.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30104 Pharmacology and pharmacy
Country of publisher United Arab Emirates
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.530
RIV identification code RIV/00216224:14160/20:00118452
Organization unit Faculty of Pharmacy
Doi http://dx.doi.org/10.2174/0929867326666190918120209
UT WoS 000589111000005
Keywords in English Copper; breast cancer; women; blood; breast tissue; hair analysis
Tags rivok, ÚFTo
Tags International impact, Reviewed
Changed by Changed by: Mgr. Hana Hurtová, učo 244985. Changed: 25/3/2021 18:00.
Abstract
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.
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