Evidence map›Paper›PMID 30478449›Full record

ArticleOncogene2019

Integrative network biology analysis identifies miR-508-3p as the determinant for the mesenchymal identity and a strong prognostic biomarker of ovarian cancer.

Linjie Zhao, Wei Wang, Lian Xu, Tao Yi, Xia Zhao, Yuquan Wei, Louis Vermeulen, Ajay Goel, Shengtao Zhou, Xin Wang

Erratum issuedAbstract read
In one paragraph

Article in Oncogene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. OCaMIR-A Noninvasive, Diagnostic Signature for Early-Stage Ovarian Cancer: A Multi-cohort Retrospective and Prospective Study.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. ChrXq27.3 miRNA cluster functions in cancer development.Journal of experimental & clinical cancer research : CR · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Linjie Zhao *Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China.
Wei Wang *Department of Biomedical Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong.
Lian Xu *Department of Pathology, West China Second University Hospital, Sichuan University, Chengdu, China.
Tao YiDepartment of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China.
Xia ZhaoDepartment of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China.
Yuquan WeiDepartment of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China.
Louis VermeulenLaboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-6066-789X
Ajay GoelCenter for Gastrointestinal Research and Center for Translational Genomics and Oncology, Baylor Scott and White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
Shengtao ZhouDepartment of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China. taotaovip2005@163.com.
Xin WangDepartment of Biomedical Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong. xin.wang@cityu.edu.hk.ORCID http://orcid.org/0000-0002-5122-2418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a heterogeneous malignancy that poses tremendous clinical challenge. Based on unsupervised classification of whole-genome gene expression profiles, four molecular subtypes of ovarian cancer were recently identified. However, single-driver molecular events specific to these subtypes have not been clearly elucidated. We aim to characterize the regulatory mechanisms underlying the poor prognosis mesenchymal subtype of ovarian cancer using a systems biology approach, involving a variety of molecular modalities including gene and microRNA expression profiles. miR-508-3p emerged as the most powerful determinant that regulates a cascade of dysregulated genes in the mesenchymal subtype, including core genes involved in epithelial-mesenchymal transition (EMT) program. Moreover, miR-508-3p down-regulation, due to promoter hypermethylation, was directly correlated with metastatic behaviors in vitro and in vivo. Taken together, our multidimensional network analysis identified miR-508-3p as a master regulator that defines the mesenchymal subtype and provides a novel prognostic biomarker to improve management of this disease.

Indexed as

Biomarkers, TumorGene Regulatory NetworksAnimalsCarcinoma, Ovarian EpithelialCell Line, TumorDatasets as TopicEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansMiceMice, Inbred BALB CMice, NudeMicroRNAsBiomarkers, TumorMicroRNAsMIRN508 microRNA, human

Identifiers

PMID30478449
PMCPMC6755993

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LicenceCC BY
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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.