Uterine leiomyomas (ULM) are a common cause of solid pelvic tumors in women. Their etiopathogenesis remains unclear. Interleukins (ILs) and their receptors can influence tumor biology of ULM. The aim of this study was to evaluate single nucleotide polymorphisms (SNPs) exhibited in the genes IL4 (rs2070874), IL4R (rs1801275), IL12RB1 (rs11575934), IL12B (rs6887695), IL13 (rs20541) and IL23R (rs7517847) as risk factors for ULM in Slovenian women and to identify associations between corresponding clinical parameters and the analyzed SNPs. In addition, solitary and multiple ULM were compared to identify clinical and/or genetic parameters influencing their occurrence. We conducted a case-control study that included 181 women with leiomyomas and 133 control subjects. Genotyping of selected SNPs was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and high resolution melting (HRM) techniques. The TT genotype of rs20541 (IL13) was significantly associated with decreased risk of ULM compared to both the CC and CT genotypes [p = 0.018; odds ratio (OR) = 0.184; 95% confidence interval (95% CI) = 0.048-0.7121. Using genetic and clinical data to develop a predictive model with logistic regression, we found that adenomyosis, higher age at diagnosis, family history of ULM occurrence, earlier menarche, lower number of pregnancies and lower age at first sexual intercourse, the G allele and genotypes AG and GG of rs1801275 (IL4R) were associated with an increased risk of multiple ULM occurrence. We also found an association between rs20541 (IL13) and 17ß-estradiol serum levels in patients with multiple ULM (p 0.003). Our study showed, for the first time, that rs20541 (IL13) may contribute to susceptibility of ULM development and that rs1801275 (IL4R) can predispose patients to develop multiple ULM.
Uterine leiomyomas are tumors, which are hormone driven and originate from the smooth muscle layer of the uterine wall. In addition to known genes in leiomyoma pathogenesis, recent approaches also highlight epigenetic malfunctions as an important mechanism of gene dysregulation. RNA sequencing raw data from pair-matched normal myometrium and fibroid tumors from two independent studies were used as discovery and validation sets and reanalyzed. RNA extracted from normal myometrium and fibroid tumors from 58 Slovenian patients was used as independent confirmation of most significant differentially expressed genes. Subsequently, GWA data from leiomyoma patients were used in order to identify genetic variants at epigenetic marks. Gene Ontology analysis of the overlap of two independent RNA-seq analyses showed that NPTX1, NPTX2, CHRM2, DRD2 and CACNA1A were listed as significant for several enriched GO terms. All five genes were subsequently confirmed in the independent Slovenian cohort. Additional integration and functional analysis showed that genetic variants in these five gene regions are listed at a chromatin structure and state, predicting promoters, enhancers, DNase hypersensitivity and altered transcription factor binding sites. We identified a unique subgroup of dysregulated synaptic signaling genes involved in the biology and pathogenesis of leiomyomas, adding to the complexity of tumor biology.
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