ArticleAmerican journal of obstetrics and gynecology2023
MED12 mutations in uterine leiomyomas: prediction of volume reduction by gonadotropin-releasing hormone agonists.
Article in American journal of obstetrics and gynecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 17 citations in OpenAlex.
- A Uterine Leiomyoma With a Novel BRAF::ABCB1 t(7; 7)(q34; q21.12) Fusion: A Case Report.Cureus · 2026Article
- The Mediator Complex: From Transcriptional Regulation to Disease Pathogenesis.International journal of molecular sciences · 2026Review
- Mechanical Stiffness Influences the Response of Human Uterine Fibroid Cells to Hormonal Treatments.Reproductive sciences (Thousand Oaks, Calif.) · 2026Article
- Article
- Effects of female hormone withdrawal and ulipristal acetate on MED12 mutation positive and negative uterine leiomyomas using a xenograft model.Scientific reports · 2025Article
- Transcriptome profiling of uterine leiomyosarcomas identifies a leiomyoma-like expression pattern that indicates better survival.BJC reports · 2025Article
- In Vitro Effect of Estrogen and Progesterone on Cytogenetic Profile of Uterine Leiomyomas.International journal of molecular sciences · 2024Article
- Computational drug repurposing effort for identifying novel hits for the treatment of diseases such as endometriosis, uterine fibroids, and prostate cancer.Turkish journal of chemistry · 2024Article
- A View on Uterine Leiomyoma Genesis through the Prism of Genetic, Epigenetic and Cellular Heterogeneity.International journal of molecular sciences · 2023Review
- Establishment of Machine Learning Models for Estimating the Collagen Content of Uterine Leiomyomas and Prediction of the Effect of Gonadotropin-Releasing Hormone Analog.Reproductive medicine and biologyArticle
- Establishment of a 3D spheroid culture system to evaluate the responsiveness of uterine leiomyoma cells to female hormones.Reproductive medicine and biologyArticle
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Authors and funding
6 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundGonadotropin-releasing hormone agonists are used to treat premenopausal uterine leiomyomas; however, leiomyoma volume reduction is not always achieved. The reduction rate after this treatment varies for each leiomyoma, even in the same patient. Therefore, an effective method for predicting uterine leiomyoma volume reduction is required to reduce the adverse hypoestrogenic effects and drug-related economic burden related to gonadotropin-releasing hormone agonists.
objectiveThis study aimed to determine the predictive use of MED12 mutations for evaluating the effect of gonadotropin-releasing hormone agonist treatment concerning reducing uterine leiomyoma volume and to predict the MED12 mutation status based on the findings of magnetic resonance imaging performed before treatment. STUDY
designMED12 exon 2 mutation and erythropoietin expression in uterine leiomyomas were evaluated concerning volume reduction, as measured using magnetic resonance imaging. We developed a system for classifying leiomyomas according to T2-weighted magnetic resonance imaging signals to noninvasively predict the presence or absence of MED12 mutations in leiomyomas. Leiomyoma samples (>5 cm) were obtained from 168 patients during surgery (hysterectomy or myomectomy) between 2005 and 2021 at Yokohama City University Hospital. To analyze the rate of leiomyoma volume reduction, 41 patients had been preoperatively administered the gonadotropin-releasing hormone agonist (leuprorelin acetate 3.75 mg, monthly subcutaneous injection) for 3 months; magnetic resonance imaging was performed before and after treatment without contrast material.
resultsPatients with MED12 exon 2 mutations had smaller volume reduction after treatment with the gonadotropin-releasing hormone agonist (P<.001, Mann-Whitney U test) and displayed lower signal intensity on T2-weighted images than those with leiomyomas expressing wild-type MED12 exon 2. The newly proposed magnetic resonance imaging-based classification system showed that MED12 exon 2 mutations were more frequent in the low-signal group than in the high-signal group, with nearly equal proportions of mutated and wild-type MED12 exon 2 leiomyomas noted in the intermediate group. The low-signal group had significantly lower erythropoietin expression levels than the high-signal group (P<.001, Kruskal-Wallis test with the Dunn posthoc analysis).
conclusionMED12 mutation status can be a candidate marker for predicting the effect of gonadotropin-releasing hormone agonists on uterine leiomyoma reduction. Magnetic resonance imaging findings can be used to determine MED12 mutation status as a noninvasive strategy to select patients who will most likely benefit from gonadotropin-releasing hormone agonist treatment.
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