ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2017
[Role of estrogen, estrogen receptors, and aromatase in the pathogenesis of uterine adenomyosis].
Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- The interaction between inflammation and estrogen in adenomyosis : from molecular mechanisms to therapeutic strategies.Seminars in immunopathology · 2026Review
- Hormone receptor profile of ectopic and eutopic endometrium in adenomyosis: a systematic review.Human reproduction open · 2025Article
- Molecular Targets for Nonhormonal Treatment Based on a Multistep Process of Adenomyosis Development.Reproductive sciences (Thousand Oaks, Calif.) · 2023Review
- Integrating Network Pharmacology and Experimental Validation Deciphers the Mechanism of Guizhi Fuling Wan against Adenomyosis.Evidence-based complementary and alternative medicine : eCAM · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo study the role of estrogen (E2), estrogen receptor (ER) and aromatase (P450arom) in the pathogenesis of uterine adenomyosis.
methodsParaffin-embedded specimens of the uterine tissue from patients with uterine adenomyosis and patients with cervical lesions (CIN; control) were examined for expressions of E2, ER and P450arom by immunohistochemistry and ELISA. The cells isolated from the lesions of patients with adenomyosis were cultured in vitro, and the changes in cell growth in response to treatments with E2, ER inhibitor, ER inhibitor + E2, estrogen deprivation, and estrogen deprivation+ ICI182780 were assessed using CCK-8 method.
resultsThe expression levels of E2, ER, and P450arom were significantly higher in adenomyosis ectopic lesions and eutopic endometrium than in the myometrium and endometrium in the control group (P<0.05); no significant difference in E2 and P450arom expressions was found between adenomyosis ectopic lesions and eutopic endometrium (P>0.05), while the expression levels of ER in ectopic lesions was significantly higher than that in eutopic endometrium. The cell inhibition rates were similar between ER inhibitor group and ER inhibitor + Estrogen activation group (P>0.05), and was significantly higher in estrogen deprivation+ ER inhibitor group than in estrogen deprivation group (P<0.05).
conclusionThe high expression levels of E2, ER, and P450arom in adenomyosis ectopic lesions and eutopic endometrium promote uterine adenomyosis cell proliferation, in which process E2 combines with ER to execute its biological effect; ER also promotes the occurrence and development of uterine adenomyosis through other pathways.
Indexed as
Identifiers
28377357PMC6780442W2977501917What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.