The different gene expression profile in eutopic and ectopic endometrium sheds new light on the endometrial seed in endometriosis
This study found minimal gene expression differences between eutopic endometrium with and without endometriosis, but significant differences between eutopic and ectopic endometrium, suggesting most changes occur after implantation.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This INPLASY-registered review protocol planned to analyze human RNA array data comparing gene expression in eutopic endometrium from people without versus with endometriosis, and in eutopic versus ectopic endometriosis, with emphasis on whether epithelial-mesenchymal transition (EMT) genes are involved and whether the “seed and soil” concept mirrors endometriosis versus tumorigenesis. The authors reported planned analyses of EMT-associated mRNA differences, and stated that earlier array results show extremely high (~99.1%) similarity between eutopic endometrium without and with endometriosis, but lower similarity (95.3%) between eutopic endometrium of people with endometriosis and ectopic lesions, with only minor EMT-related gene differences (notably claudin family members) and most differences appearing after implantation into ectopic locations; they also concluded that initial tumorigenesis steps differ from endometriosis. A major caveat explicitly reflected in the protocol is that comparisons rely on indirect sampling of patients because RNA profiling is the main evidence source, and the protocol only includes experimental, peer-reviewed array studies with complete data. This paper is centrally about endometriosis — it focuses on gene expression differences between eutopic and ectopic endometrium to evaluate EMT involvement and the “seed and soil” model in endometriosis.
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
Full text
5,724 characters
· extracted from
oa-pdf
· 3 sections
· click to expand
Introduction
Methods
Keywords
Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.
My notes (saved in your browser only)
Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works
Condition tags
Citation neighborhood (sparse)
Too few in-corpus citations on either side for a chart; here are the lists.
Cited by (1)
Cited by (1)
Source provenance
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00