Evidence map›Paper›PMID 30866919›Full record

ArticleBMC endocrine disorders2019

Genetic and epigenetic characteristics in ovarian tissues from polycystic ovary syndrome patients with irregular menstruation resemble those of ovarian cancer.

Jiao Jiao, Matthew Sagnelli, Bei Shi, Yuanyuan Fang, Ziqi Shen, Tianyu Tang, Bingying Dong, Da Li, Xiuxia Wang

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
5.9field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  20. Influences of UGT2B7 rs7439366 and rs12233719 Polymorphisms on Fentanyl Sensitivity in Chinese Gynecologic Patients.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

9 authors at 3 institutions in 2 countries.

Jiao JiaoCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Matthew SagnelliUniversity of Connecticut School of Medicine, Farmington, CT, 06030, USA.
Bei ShiDepartment of Physiology, College of Life Science, China Medical University, Shenyang, 110122, China.
Yuanyuan FangCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Ziqi ShenCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Tianyu TangCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Bingying DongCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Da LiCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China. leeda@ymail.com.ORCID http://orcid.org/0000-0002-4895-1185
Xiuxia WangCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China. wangxxsj@sina.cn.
China Medical University · CNShenyang Medical College · CNUniversity of Connecticut · US

Funding

Distinguished Talent Program of Shengjing Hospital ME76Fok Ying Tung Education Foundation 151039Liaoning Province Science and Technology Project 201602864National Natural Science Foundation of China 81402130National Natural Science Foundation of China 81671423
6 · The paper itself

Abstract

backgroundIrregular menstruation is clinically associated with an increased risk for ovarian cancer and disease-related mortality. This relationship remains poorly understood, and a mechanism explaining it has yet to be described.

methodsOvarian tissues from women with polycystic ovary syndrome (PCOS) and regular menstruation (n = 10) or irregular menstruation (n = 10) were subjected to DNA methylation sequencing, real-time PCR array, whole-exome sequencing, and bioinformatics analysis.

resultsWe demonstrated that ovarian tissue from PCOS patients with irregular menstruation displayed global DNA hypomethylation, as well as hypomethylation at several functionally and oncologically significant regions. Furthermore, we showed that several cancer-related genes were aberrantly expressed in ovarian tissue from patients with irregular menstruation, and that their mRNA and microRNA profiles shared appreciable levels of coincidence with those from ovarian cancer tissue. We identified multiple point mutations in both the BRCA1 and MLH1 genes in patients with irregular menstruation, and predicted the potential pathogenicity of these mutations using bioinformatics analyses.

conclusionsDue to the nature of ovarian cancer, it is important to broaden our understanding of the pathogenesis and risk factors of the disease. Herein, we provide the first description of a genetic and epigenetic basis for the clinical relationship between irregular menstruation and an increased risk for ovarian cancer.

Indexed as

DNA MethylationEpigenesis, GeneticGenetic MarkersAdultBRCA1 ProteinCase-Control StudiesExome SequencingFemaleFollow-Up StudiesGene Expression ProfilingHumansMenstruation DisturbancesMicroRNAsMutationMutL Protein Homolog 1Ovarian NeoplasmsBRCA1 ProteinBRCA1 protein, humanGenetic MarkersMicroRNAsMLH1 protein, humanMutL Protein Homolog 1BRCA1Irregular menstruationMLH1Ovarian CancerPCOS

Identifiers

PMID30866919
PMCPMC6416936
OpenAlexW2921142857

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.