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Critical Reviews™ in Eukaryotic Gene Expression

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ISSN Print: 1045-4403

ISSN Online: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

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Association between ABCB1 G2677T/A Polymorphism and Breast Cancer Risk: A Meta-Analysis

Volume 29, Issue 3, 2019, pp. 243-249
DOI: 10.1615/CritRevEukaryotGeneExpr.2019026184
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ABSTRACT

Several studies have investigated the relationship between ABCB1 G2677T/A polymorphism and breast cancer susceptibility; however, the published results remain controversial. Thus, we conducted a meta-analysis to synthetically evaluate the association of this polymorphism with breast cancer risk. A computerized literature search was systematically carried out in PubMed, EMBASE, ScienceDirect, China National Knowledge Infrastructure and Wanfang Databases to identify the published case-control studies investigating the relationship between ABCB1 G2677T/A polymorphism and breast cancer risk. The strength of association was assessed using odds ratios (ORs) with 95% confidence intervals (CIs). In total, six studies, including 4,791 cases and 7,042 controls, were included. The results of our quantitative synthesis suggest that there is no significant association between ABCB1 G2677T/A polymorphism and breast cancer risk in overall comparisons under four genetic models (heterozygote: OR = 1.01, 95% CI = 0.92–1.09, P = 0.90; homozygote: OR = 1.01, 95% CI = 0.65–1.55, P = 0.97; recessive model: OR = 1.06, 95% CI = 0.75–1.50, P = 0.76; and dominant model: OR = 0.98, 95% CI = 0.77–1.24, P = 0.85). Similarly, no significant association was observed in the stratification analyses by ethnicity and control source. In conclusion, this meta-analysis suggests that ABCB1 G2677T/A polymorphism is not associated with genetic susceptibility to breast cancer.

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CITED BY
  1. Joob Beuy, Wiwanitkit Viroj, CYP24A1 polymorphisms and breast cancer risk, Breast Cancer Research and Treatment, 180, 2, 2020. Crossref

  2. Totoń Ewa, Jacczak Barbara, Barczak Wojciech, Jagielski Paweł, Gryczka Robert, Hołysz Hanna, Grodecka-Gazdecka Sylwia, Rubiś Błażej, No Association between ABCB1 G2677T/A or C3435T Polymorphisms and Survival of Breast Cancer Patients—A 10-Year Follow-Up Study in the Polish Population, Genes, 13, 5, 2022. Crossref

  3. Tsyganov M. M., Ibragimova M. K., Garbukov E. Yu., Bragina O. D., Zdereva E. A., Usynin E. A., Litviakov N. V., Predictive and prognostic significance of loss of heterozygosity in ABC transporter genes in breast cancer, Siberian journal of oncology, 21, 5, 2022. Crossref

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