Inflammation has long been hypothesized to play a key role in the growth of uterine leiomyomas, smooth muscle tumors found in as many as 70% of women. However, the mechanisms by which inflammation drives leiomyoma growth remain poorly understood. Our laboratory is integrating mass spectroscopy, spatial and single-cell transcriptomics and metabolomics to parse the role of subpopulations of inflammatory cells in these tumors and develop novel, non-hormonal options that can ideally be used to control leiomyoma growth without impairing fertility. This data is being used to better understand the genesis of leiomyosarcomas and applications.