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Article type: Research Article
Authors: Pakiz, Majaa; * | Potocnik, Urosb; c | But, Igora | Mujezinovic, Farisd
Affiliations: [a] Department of General Gynecology and Gynecological Urology, University Clinical Center Maribor, Maribor, Slovenia | [b] Center for human molecular genetics and pharmacogenomics, Faculty of Medicine, University of Maribor, Slovenia | [c] Laboratory for Biochemistry, Molecular Biology and Genomics, Faculty for Chemistry and Chemical Engineering, University of Maribor, Slovenia | [d] Department for obstetrics, University Clinical Center Maribor, Maribor, Slovenia
Correspondence: [*] Corresponding author: Maja Pakiz, MD, PhD, Department of General Gynecology and Gynecological Urology, University Clinical Center Maribor, Ljubljanska 5, 2000 Maribor, Slovenia. Tel.: +386 41 743 715; E-mail: [email protected].
Abstract: Objective:The mutant genotype GG of the CYP17A1 gene polymorphism has been linked to higher levels of serum estradiol and thus might be associated with steroid-hormone dependent tumors. We decided to assess an association of CYP17A1 polymorphism with uterine leiomyomas (ULM) and multiple ULM by conducting a meta-analysis and subgroup analysis. Methods:We searched the HuGE Navigator and PubMed databases using the terms “leiomyoma” and “CYP17A1” for articles published by October 1, 2010. Our article in press was added. The selection criteria were (i) cases having ULM, (ii) controls showing no ULM from the same ethnic group, (iii) cases and controls not overlapping. The subgroup analysis included cases having multiple ULM, predisposing black women mostly present with multiple ULM. Pooled risk ratio was calculated using χ2 statistic. Results:Five papers fulfilled the selection criteria for meta-analysis and two papers for the subgroup analysis. The meta-analysis revealed no association of CYP17A1 polymorphism with all ULM. A high pooled risk ratio for multiple ULM was associated with the presence of mutant genotype GG (RR 3.25). Conclusion:CYP17A1 polymorphism may be associated with multiple ULM but not with all ULM. The future research might enable us to predict the course of the disease.
Keywords: Uterine leiomyomas, CYP17A1 gene polymorphism, multiple uterine leiomyoma
DOI: 10.3233/DMA-2011-0817
Journal: Cancer Biomarkers, vol. 8, no. 1, pp. 29-34, 2011
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