Evidence map›Paper›PMID 33868805›Full record

ArticlePeerJ2021

Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis.

Xiao Feng, Lingbin Qi, Xiaoyu Xu, Yun Feng, Xiaoming Gong, Aixingzi Aili, Yu Chen, Zhigang Xue, Jinfeng Xue, Xiaowen Tong

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Xiao FengDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Lingbin QiDepartment of Regenerative Medicine, Tongji University School of Medicine, Shanghai, China.
Xiaoyu XuDepartment of Regenerative Medicine, Tongji University School of Medicine, Shanghai, China.
Yun FengReproductive Medicine Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaoming GongWOYI OBGYN Medical Group, Beijing, China.
Aixingzi AiliDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Yu ChenSchool of Life Science and environment, Avans University of Applied Science, Breda, The Netherlands.
Zhigang XueDepartment of Regenerative Medicine, Tongji University School of Medicine, Shanghai, China.
Jinfeng Xue *Department of Regenerative Medicine, Tongji University School of Medicine, Shanghai, China.
Xiaowen Tong *Department of Obstetrics and Gynecology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Tongji University · CNShanghai First Maternity and Infant Hospital · CNAvans University of Applied Sciences · NLTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometriosis is a common gynecological disease among women in their reproductive years. Although much effort has been made, the pathogenesis of this disease and the detailed differences between eutopic endometrial cells and ectopic endometrial cells are still unclear.

methodsIn this study, eutopic and ectopic endometrial cells were collected from patients with and without endometriosis and RNA sequencing was performed. The gene expression patterns and differentially expressed genes (DEGs) in eutopic and ectopic endometrial cells, as well as control endometrial cells, were analyzed using a weighted gene co-expression network analysis (WGCNA) and the DESeq2 package. The functions of significant genes were detected using Gene ontology (GO) enrichment analysis, and qRT-PCR validation was performed.

resultsThe results indicated that eight gene modules were found among these three groups. They also indicated that the gene module, which is highly related to eutopic endometrial cells, was mainly enriched in cell adhesion, embryo implantation, etc., while the gene module related to ectopic endometrial cells was mainly enriched in cell migration, etc. The results of differential expression analysis were generally consistent with the WGCNA results through identified significant DEGs between different groups. These DEGs may play an important role in the occurrence of endometriosis, including the infertility associated gene ARNTL and PIWIL2, tissue remodeling gene MMP11, cell survival and migration gene FLT1, inflammatory response gene GNLY, the tumor suppressor genes PLCD1, etc. Further analysis suggested the function of adhesion is stronger in ectopic endometrial cells than in eutopic endometrial cells, while the ectopic endometrium may have a higher potential risk of malignant transformation than eutopic endometrium.

conclusionsOverall, these data provide a reference for understanding the pathogenesis of endometriosis and its relationship with malignant transformation.

Indexed as

Ectopic endometrial cellsEndometriosisEutopic endometrial cellsRNAseqTranscriptomic analysis

Identifiers

PMID33868805
PMCPMC8035894
OpenAlexW3150222876

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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.