Endocrine disruption of early uterine differentiation causes adenocarcinoma mediated by Wnt/β-catenin- and PI3K/AKT signaling
Padilla-Banks, E.; Jefferson, W. N.; Papas, B. N.; Suen, A. A.; Xu, X.; Carreon, D. V.; Willson, C. J.; Quist, E. M.; Williams, C. J.
Show 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
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pre-ciliated tubal epithelial cells are prone to initiation of high-grade serous ovarian carcinoma 96%
- Influence of genetic ancestry on breast stromal cells provides biologic basis for increased incidence of metaplastic breast cancer in women of African descent 94%
- Creating a 'Timeline' of ductal carcinoma in situ to identify processes and biomarkers for progression towards invasive ductal carcinoma 93%
Similar papers in this journal
- A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing 96%
- Single-cell Transcriptomics Identifies Gene Expression Networks Driving Differentiation and Tumorigenesis in the Human Fallopian Tube 95%
- MAPK14/p38α Shapes the Molecular Landscape of Endometrial Cancer and promotes Tumorigenic Characteristics 95%
Similar papers in this journal
- Comparative analysis of the syncytiotrophoblast in placenta tissue and trophoblast organoids using snRNA sequencing 94%
- Single cell RNA sequencing and lineage tracing confirm mesenchyme to epithelial transformation (MET) contributes to repair of the endometrium at menstruation 94%
- Affinity-tagged SMAD1 and SMAD5 mouse lines reveal transcriptional reprogramming mechanisms during early pregnancy 94%
Similar papers in this journal
- Single cell RNA sequencing redefines the mesenchymal cell landscape of mouse endometrium 94%
- Endometrial epithelial ARID1A is critical for uterine gland function in early pregnancy establishment 93%
- Single-cell transcriptomic profiling of the neonatal oviduct and uterus reveals new insights into upper Müllerian duct regionalization 93%
Similar papers in this journal
- SMAD4: A Critical Regulator of Cardiac Neural Crest Cell Fate and Vascular Smooth Muscle Differentiation 91%
- Assessing evolutionary and developmental transcriptome dynamics in homologous cell types 91%
- Knockout of the gene encoding the extracellular matrix protein SNED1 results in early neonatal lethality and craniofacial malformations 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.