Evidence map›Paper›PMID 27741504›Full record

ArticleOncotarget2016

Up-regulation of ribosome biogenesis by MIR196A2 genetic variation promotes endometriosis development and progression.

Cherry Yin-Yi Chang, Ming-Tsung Lai, Yi Chen, Ching-Wen Yang, Hui-Wen Chang, Cheng-Chan Lu, Chih-Mei Chen, Carmen Chan, Ching Chung, Chun-Cheng Tseng and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Genetic variants in miR-146a and miR-196a2 in endometriosis: a Brazilian study.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
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  5. Review
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  8. Article
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  13. Review
  14. Article
  15. Article
  16. The polymorphism of rs11614913 T/T in pri-American journal of translational research · 2020
    Article
  17. Pharmacogenomics and personalized medicine · 2020
    Article
  18. The nucleolus, an ally, and an enemy of cancer cells.Histochemistry and cell biology · 2018
    Review
  19. Review
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

13 authors at 6 institutions in 1 country.

Cherry Yin-Yi ChangDepartment of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan.
Ming-Tsung LaiDepartment of Pathology, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan.
Yi ChenHuman Genetic Center, China Medical University Hospital, Taichung, Taiwan.
Ching-Wen YangThe Institute of Basic Medical Sciences, National Cheng Kung University, Tainan, Taiwan.
Hui-Wen ChangSchool of Medicine, China Medical University, Taichung, Taiwan.
Cheng-Chan LuThe Institute of Basic Medical Sciences, National Cheng Kung University, Tainan, Taiwan.
Chih-Mei ChenHuman Genetic Center, China Medical University Hospital, Taichung, Taiwan.
Carmen ChanHuman Genetic Center, China Medical University Hospital, Taichung, Taiwan.
Ching ChungHuman Genetic Center, China Medical University Hospital, Taichung, Taiwan.
Chun-Cheng TsengInstitute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan.
Tritium HwangInstitute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan.
Jim Jinn-Chyuan SheuHuman Genetic Center, China Medical University Hospital, Taichung, Taiwan.
Fuu-Jen TsaiHuman Genetic Center, China Medical University Hospital, Taichung, Taiwan.
China Medical University · TWNational Sun Yat-sen University · TWChina Medical University Hospital · TWNational Cheng Kung University · TWMinistry of Health and Welfare · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant miRNA expression has been reported in endometriosis and miRNA gene polymorphisms have been linked to cancer. Because certain ovarian cancers arise from endometriosis, we genotyped seven cancer-related miRNA single nucleotide polymorphisms (MiRSNPs) to investigate their possible roles in endometriosis. Genetic variants in MIR196A2 (rs11614913) and MIR100 (rs1834306) were found to be associated with endometriosis development and related clinical phenotypes, such as infertility and pain. Downstream analysis of the MIR196A2 risk allele revealed upregulation of rRNA editing and protein synthesis genes, suggesting hyper-activation of ribosome biogenesis as a driving force for endometriosis progression. Clinical studies confirmed higher levels of small nucleolar RNAs and ribosomal proteins in atypical endometriosis lesions, and this was more pronounced in the associated ovarian clear cell carcinomas. Treating ovarian clear cells with CX5461, an RNA polymerase I inhibitor, suppressed cell growth and mobility followed by cell cycle arrest at G2/M stage and apoptosis. Our study thus uncovered a novel tumorigenesis pathway triggered by the cancer-related MIR196A2 risk allele during endometriosis development and progression. We suggest that anti-RNA polymerase I therapy may be efficacious for treating endometriosis and associated malignancies.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationAllelesCase-Control StudiesCell MovementCell ProliferationDisease ProgressionEndometrial NeoplasmsEndometriosisFemaleGene Expression ProfilingGene Expression RegulationGenes, rRNAGenotypeHumansMicroRNAsMicroRNAsMIRN196 microRNA, humanRNA Polymerase IendometriosisMIR196A2ovarian cancerpolymorphismribosome biogenesis

Identifiers

PMID27741504
PMCPMC5363543
OpenAlexW2515148935

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.