bioRxivDevelopmental BiologyPreprint
Endocrine disruption of early uterine differentiation causes adenocarcinoma mediated by Wnt/β-catenin- and PI3K/AKT signaling
Elizabeth Padilla‐Banks, Wendy N. JeffersoniD, Brian N. PapasiD, Alisa A. SueniD, Xin XuiD, Diana V. Carreon, Cynthia J. WillsoniD, Erin M. QuistiD, Carmen J. WilliamsiD
- Citations
- 1
Abstract
Developmental exposure to non-mutagenic environmental factors can contribute to cancer risk, but the underlying mechanisms are not understood. We used a mouse model of endometrial adenocarcinoma that results from brief developmental exposure to an estrogenic chemical, diethylstilbestrol (DES), to determine causative factors. Single cell RNA sequencing and spatial transcriptomics of adult uteri revealed new markers of uterine epithelial stem cells, identified luminal and glandular progenitor cells, and defined a glandular epithelial differentiation trajectory. Neonatal DES exposure disrupted uterine epithelial differentiation, resulting in widespread activation of Wnt signaling and a failure to generate epithelial stem cells or distinguishable glandular and luminal epithelial cells. The endometrial stromal cells activated inflammatory signals and oxidative stress. Together, these changes activated PI3K/AKT signaling to drive malignant transformation. These findings explain how human cancers, which are often associated with abnormal activation of PI3K/AKT signaling, could result from exposure to environmental insults during development. HighlightsO_LISingle cell analysis of adult mouse uteri reveals epithelial stem cell markers and gland development trajectory C_LIO_LIDevelopmental DES exposure causes widespread activation of Wnt signaling and failure of epithelial cell differentiation C_LIO_LIUterine adenocarcinoma results from combined Wnt/{beta}-catenin activation, stromal inflammation, and induction of PI3K/AKT signaling C_LIO_LIOLFM4 is a marker of developmental DES-induced uterine adenocarcinoma C_LI
- organism: mouse
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
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