Evidence map›Paper›PMID 37996888›Full record

ArticleBMC medicine2023

Gene expression profiles separate endometriosis lesion subtypes and indicate a sensitivity of endometrioma to estrogen suppressive treatments through elevated ESR2 expression.

Sushma Marla, Sally Mortlock, Taija Heinosalo, Matti Poutanen, Grant W Montgomery, Brett David McKinnon

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Sushma MarlaInstitute for Molecular Bioscience, The University of Queensland, Carmody Rd, Brisbane, QLD, 4067, Australia.
Sally MortlockInstitute for Molecular Bioscience, The University of Queensland, Carmody Rd, Brisbane, QLD, 4067, Australia.
Taija HeinosaloInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, 20014, Finland.
Matti PoutanenInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, 20014, Finland.
Grant W MontgomeryInstitute for Molecular Bioscience, The University of Queensland, Carmody Rd, Brisbane, QLD, 4067, Australia.
Brett David McKinnonInstitute for Molecular Bioscience, The University of Queensland, Carmody Rd, Brisbane, QLD, 4067, Australia. b.mckinnon@imb.uq.edu.au.
The University of Queensland · AUUniversity of Turku · FI

Funding

National Health and Medical Research Council GNT1078399National Health and Medical Research Council GNT1177194
6 · The paper itself

Abstract

backgroundEndometriosis is a common, gynaecological disease characterised by the presence of endometrial-like cells growing outside the uterus. Lesions appear at multiple locations, present with variation in appearance, size and depth of invasion. Despite hormones being the recommended first-line treatment, their efficacy, success and side effects vary widely amongst study populations. Current, hormonal medication for endometriosis is designed to suppress systemic oestrogen. Whether these hormones can influence the lesions themselves is not yet clear. Evidence of hormone receptor expression in endometriotic lesions and their ability to respond is conflicting. A variation in their expression, activation of transcriptional co-regulators and the potential to respond may contribute to their variation in patient outcomes. Identifying patients who would benefit from hormonal treatments remain an important goal in endometriosis research.

methodsUsing gene expression data from endometriosis lesions including endometrioma (OMA, n = 28), superficial peritoneal lesions (SUP, n = 72) and deeply infiltrating lesions (DIE, n = 78), we performed principal component analysis, differential gene expression and gene correlation analyses to assess the impact of menstrual stage, lesion subtype and hormonal treatment on the gene expression.

resultsThe gene expression profiles did not vary based on menstrual stage, but could distinguish lesion subtypes with OMA significantly differentiating from both SUP and DIE. Additionally, the effect of oestrogen suppression medication altered the gene expression profile in OMA, while such effect was not observed in SUP or DIE. Analysis of the target receptors for hormonal medication indicated ESR2 was differentially expressed in OMA and that genes that correlated with ESR2 varied significantly between medicated and non-medicated OMA samples.

conclusionsOur results demonstrate of the different lesion types OMA present with strongest response to hormonal treatment directly through ESR2. The data suggests that there may be the potential to target treatment options to individual patients based on pre-surgical diagnoses.

Indexed as

EndometriosisPeritoneal DiseasesEndometriumEstrogen Receptor betaEstrogensFemaleHumansTranscriptomeESR2 protein, humanEstrogen Receptor betaEstrogensEndometriosisGene expressionHeterogeneityOestrogen receptorSubtypesTreatment

Identifiers

PMID37996888
PMCPMC10666321
OpenAlexW4388945374

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Registered trials

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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.