Evidence map›Paper›PMID 24394555›Full record

ArticleNature communications2014

microRNA-181a has a critical role in ovarian cancer progression through the regulation of the epithelial-mesenchymal transition.

Aditya Parikh, Christine Lee, Peronne Joseph, Sergio Marchini, Alessia Baccarini, Valentin Kolev, Chiara Romualdi, Robert Fruscio, Hardik Shah, Feng Wang and 9 more

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

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed, 1 pooled it
12.9field-weighted citation impact, top 1% 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

144 citing papers in PubMed, 1 synthesis or guideline pooled it, 263 citations in OpenAlex.

  1. Pooled it
  2. Review
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  8. Expert opinion on therapeutic targets · 2024
    Review
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  12. Article
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  15. Article
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  18. Article
  19. Role of miR‑181a‑5p in cancer (Review).International journal of oncology · 2023
    Review
  20. Lymphatic vasculature in ovarian cancer.Biochimica et biophysica acta. Reviews on cancer · 2023
    Review

84 more citing papers are in PubMed but not listed here.

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

19 authors at 6 institutions in 2 countries.

Aditya Parikh1] Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA [2] Department of Medicine, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA [3].
Christine Lee1] Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA [2] Case Comprehensive Cancer Center, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA [3].
Peronne JosephCase Comprehensive Cancer Center, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA.
Sergio MarchiniDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche 'Mario Negri', via La Masa 19, 20156 Milano, Italy.
Alessia BaccariniDepartment of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Valentin KolevDepartment of Obstetrics and Gynecology, The Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Chiara RomualdiDepartment of Biology, Universtia' degli studi di Padova, Via U.Bassi 58/B, Padova 35121, Italy.
Robert Fruscio1] Clinic of Obstetrics and Gynecology, University of Milano-Bicocca, San Gerardo Hospital, 20900 Monza, Italy [2] MaNGO Group, 20156 Milano, Italy.
Hardik ShahDepartment of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Feng WangDepartment of Obstetrics and Gynecology, The Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Gavriel MullokandovDepartment of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
David FishmanDepartment of Obstetrics and Gynecology, The Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Maurizio D'IncalciDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche 'Mario Negri', via La Masa 19, 20156 Milano, Italy.
Jamal RahamanDepartment of Obstetrics and Gynecology, The Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Tamara Kalir1] MaNGO Group, 20156 Milano, Italy [2] Department of Pathology, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Raymond W RedlineDepartment of Pathology, University Hospitals Case Medical Center, 2103 Cornell Road, Cleveland, Ohio 44106, USA.
Brian D BrownDepartment of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA.
Goutham Narla1] Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA [2] Department of Medicine, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA [3] Case Comprehensive Cancer Center, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA [4] Institute for Transformative Molecular Medicine, Department of Medicine Case Western Q3 Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA.
Analisa DiFeo1] Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, New York 10029, USA [2] Case Comprehensive Cancer Center, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA.
Icahn School of Medicine at Mount Sinai · USCase Western Reserve University · USCornell University · USMario Negri Institute for Pharmacological Research · ITUniversity of Milano-Bicocca · ITUniversity of Padua · IT

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARK R CHANCE · 1987 to 2026
$142.3M
NCI NIH HHS P30 CA043703NCI NIH HHS P30CA043703
6 · The paper itself

Abstract

Ovarian cancer is a leading cause of cancer deaths among women. Effective targets to treat advanced epithelial ovarian cancer (EOC) and biomarkers to predict treatment response are still lacking because of the complexity of pathways involved in ovarian cancer progression. Here we show that miR-181a promotes TGF-β-mediated epithelial-to-mesenchymal transition via repression of its functional target, Smad7. miR-181a and phosphorylated Smad2 are enriched in recurrent compared with matched-primary ovarian tumours and their expression is associated with shorter time to recurrence and poor outcome in patients with EOC. Furthermore, ectopic expression of miR-181a results in increased cellular survival, migration, invasion, drug resistance and in vivo tumour burden and dissemination. In contrast, miR-181a inhibition via decoy vector suppression and Smad7 re-expression results in significant reversion of these phenotypes. Combined, our findings highlight an unappreciated role for miR-181a, Smad7, and the TGF-β signalling pathway in high-grade serous ovarian cancer.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialCell MovementCell SurvivalDisease ProgressionDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionFemaleHumansMicroRNAsMiddle AgedNeoplasm InvasivenessNeoplasms, Cystic, Mucinous, and SerousMicroRNAsMIrn181 microRNA, humanSmad2 ProteinSMAD2 protein, humanSmad7 ProteinSMAD7 protein, humanTGFB1 protein, humanTransforming Growth Factor beta1

Identifiers

PMID24394555
PMCPMC3896774
OpenAlexW2004306748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.