Page 111 - ESHRE2019

RNA expression profiles for diagnosis of endometriosis
• Diagnosis of endometriosis with 90%–100%accuracy,
• Classifiers
o Cycle phase-specific or independent
o Relatively few genes to determine disease and severity
• Differential gene expression and pathway analyses o Immune activation
o Steroid and thyroid hormone signaling/metabolism
o Growth factor signaling
Prospective validation is ongoing
Tamaresis et al Endocrinology 2014
Endometrial RNA expression profiles
• Promises
o Dynamic learning of the diagnostic models
o Adjustmentforandintegrationofcomplexityofendometriosis o Novel insights in pathophysiology
• Challenges
o Needforlargesamplessizeformodelfine-tuning
o Confounders: hormonal therapy, co-morbidities, etc.
106
PRECONGRESS COURSE 03 I VIENNA, AUSTRIA – 23 JUNE 2019 109