Project description:Uterine fibroids are benign tumors of the uterus that disproportionately affect women, with significant racial disparities observed in their incidence, severity, and clinical outcomes. Despite these disparities, the molecular mechanisms underlying these racial differences remain poorly understood. This study aims to examine the transcriptome of whole human normal and at-risk myometrium as well as uterine fibroid tissues obtained from both Black and White women to gain insights into the genes and pathways contributing to this disparity.
Project description:Our study represents a new strategy for identifying drivers and risk factors of uterine fibroids (F) by identifying genes and pathways differentially regulated in myometrial stem cells (SCs) isolated from myometrium without fibroids (MyoN) and from myometrium adjacent to uterine fibroids (MyoF) using RNA-seq approach. Moreover, we will perform the comparison analysis of the transcriptome between MyoF SCs and fibroid SCs to identify differentially expressed genes.
Project description:Uterine fibroids, or leiomyomas, are noncancerous tumors of the myometrium and the most common reproductive tract tumors in women, with an incidence of up to 80% by age 50. Currently, hysterectomy is the only definitive cure, and effective non-hormonal therapeutics are lacking. Understanding the etiology of fibroids may lead to alternative, less invasive treatments. Several obstetric disorders, including polycystic ovary syndrome (PCOS), have been linked to uterine fibroids, and women with PCOS often exhibit hormonal imbalances, particularly elevated serum testosterone levels. However, the impact of testosterone on the myometrium remains poorly understood. We hypothesize that elevated testosterone may increase the risk of developing uterine fibroids. Using RNA sequencing and MethylationEPIC array analysis, we compared myometrial tissue from women without fibroids (MyoN, n=33), with fibroids (MyoF, n=66), and after testosterone therapy (MyoT, n=7). The transcriptomic and methylation profiles of MyoT clustered with MyoF and were distinct from MyoN. We identified 1,321 differentially expressed protein-coding genes between MyoT and MyoN, while only 494 were found between MyoT and MyoF. Disease ontology analysis of MyoT vs. MyoN revealed enrichment of the fibroid tumor gene set. Fibroid associated genes including TGFβ3, CCND1, SERPINE1, and FGFR1 were upregulated in MyoT and MyoF samples compared to MyoN samples. The DNA methylation profiles of MyoT were closer to those of MyoF, but no correlation was observed between methylation status and gene expression. Our preliminary data suggest that testosterone induces transcriptional and methylation changes in the myometrium consistent with those observed in MyoF tissues. These findings suggest that elevated testosterone may be associated with an increased risk of developing uterine fibroids.
Project description:Uterine fibroids, or leiomyomas, are noncancerous tumors of the myometrium and the most common reproductive tract tumors in women, with an incidence of up to 80% by age 50. Currently, hysterectomy is the only definitive cure, and effective non-hormonal therapeutics are lacking. Understanding the etiology of fibroids may lead to alternative, less invasive treatments. Several obstetric disorders, including polycystic ovary syndrome (PCOS), have been linked to uterine fibroids, and women with PCOS often exhibit hormonal imbalances, particularly elevated serum testosterone levels. However, the impact of testosterone on the myometrium remains poorly understood. We hypothesize that elevated testosterone may increase the risk of developing uterine fibroids. Using RNA sequencing and MethylationEPIC array analysis, we compared myometrial tissue from women without fibroids (MyoN, n=33), with fibroids (MyoF, n=66), and after testosterone therapy (MyoT, n=7). The transcriptomic and methylation profiles of MyoT clustered with MyoF and were distinct from MyoN. We identified 1,321 differentially expressed protein-coding genes between MyoT and MyoN, while only 494 were found between MyoT and MyoF. Disease ontology analysis of MyoT vs. MyoN revealed enrichment of the fibroid tumor gene set. Fibroid associated genes including TGFβ3, CCND1, SERPINE1, and FGFR1 were upregulated in MyoT and MyoF samples compared to MyoN samples. The DNA methylation profiles of MyoT were closer to those of MyoF, but no correlation was observed between methylation status and gene expression. Our preliminary data suggest that testosterone induces transcriptional and methylation changes in the myometrium consistent with those observed in MyoF tissues. These findings suggest that elevated testosterone may be associated with an increased risk of developing uterine fibroids.
Project description:Significant racial disparities exist between Black and White patients with uterine serous carcinoma (USC). While the reasons for these disparities are unclear, but several studies have demonstrated significantly distinct rates of driver mutations between racial groups, including TP53. However, limited research has investigated the transcriptional differences of the tumors between these groups, or the composition of the tumor microenvironment (TME) between these groups. Here, we report the findings from the first single nuclei RNA-sequencing experiment conducted on USC tumors. We find that there are significant differences between the tumors of Black and White patients. Tumors exhibited differential expression of specific genes associated with aggressiveness, such as PAX8, and axon guidance and synaptic signaling pathways in Black and White patients. We also demonstrated that differences in T cell and macrophage populations exist between benign and tumor tissues in the TME of USC, as well as between racial groups. Furthermore, we investigated the connection between PAX8 overexpression and immunosuppression in USC through regulation of several cytokines and chemokines. Notably, we show for the first time that PAX8 activity can influence macrophage gene expression and protein secretion. These studies provide a detailed understanding of USC and a basis for using racial information in USC treatment decisions.