Estetrol Increases Progesterone Genetic Response without Triggering Common Estrogenic Effects in Endometriotic Cell Lines and Primary Cultures.
Daniel Patiño-GarcíaJaime PalominoCristián PomésClaudia CelleVerónica Torres-EstayRenan Orellana-WaldenPublished in: Biomedicines (2023)
Estetrol (E4), a natural estrogen produced by the human fetal liver, is actively studied for menopause and breast cancer treatment. It has low side effects and preferential estrogen receptor alpha (ER α ) affinity. There are no data about its effects on endometriosis, a common gynecological disease affecting 6-10% of cycling women, generating painful pelvic lesions and infertility. Current combined hormone treatment (progestins and estrogens) is safe and efficient; nevertheless, one-third of patients develop progesterone (P4) resistance and recurrence by reducing P4 receptors (PRs) levels. We aimed to compare E4 and 17 β -estradiol (E2) effects using two human endometriotic cell lines (epithelial 11Z and stromal Hs832 cells) and primary cultures from endometriotic patients. We evaluated cell growth (MTS), migration (wound assay), hormone receptors levels (Western blot), and P4 response by PCR array. Compared to E2, E4 did not affect cell growth or migration but increased estrogen receptor alpha (ER α ) and PRs, and reduced ER β . Finally, the incubation with E4 improved the P4 gene response. In conclusion, E4 increased PRs levels and genetic response without inducing cell growth or migration. These results suggest that E4 might be useful for endometriosis treatment avoiding P4 resistance; however, evaluating its response in more complex models is required.
Keyphrases
- estrogen receptor
- end stage renal disease
- ejection fraction
- endothelial cells
- newly diagnosed
- prognostic factors
- chronic kidney disease
- genome wide
- peritoneal dialysis
- high resolution
- metabolic syndrome
- induced apoptosis
- copy number
- high throughput
- cell proliferation
- combination therapy
- replacement therapy
- postmenopausal women
- patient reported outcomes
- dna methylation
- artificial intelligence
- south africa
- deep learning
- big data
- high density
- solid state
- data analysis