Evidence map›Paper›PMID 24952592›Full record

ArticleOncotarget2014

HGF/c-Met axis drives cancer aggressiveness in the neo-adjuvant setting of ovarian cancer.

Marisa Mariani, Mark McHugh, Marco Petrillo, Steven Sieber, Shiquan He, Mirko Andreoli, Zheyang Wu, Paul Fiedler, Giovanni Scambia, Shohreh Shahabi and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.0field-weighted citation impact, top 3% 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, 34 citations in OpenAlex.

  1. Review
  2. Molecules (Basel, Switzerland) · 2023
    Review
  3. Article
  4. Review
  5. Targeting HGF/c-MET Axis in Pancreatic Cancer.International journal of molecular sciences · 2020
    Review
  6. Article
  7. MicroRNAs and Long Non-coding RNAs in c-Met-Regulated Cancers.Frontiers in cell and developmental biology · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Potential role of HGF-PARP-1 signaling in invasion of ovarian cancer cells.International journal of clinical and experimental pathology · 2018
    Article
  12. miR-206-3p Inhibits 3T3-L1 Cell Adipogenesis via the c-Met/PI3K/Akt Pathway.International journal of molecular sciences · 2017
    Article
  13. Article
  14. Direct targeting of HGF by miR-16 regulates proliferation and migration in gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Molecular targeted therapy for the treatment of gastric cancer.Journal of experimental & clinical cancer research : CR · 2016
    Review
  19. Article
  20. Article
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

11 authors at 4 institutions in 2 countries.

Marisa MarianiDanbury Hospital Research Institute, Danbury, CT, USA; Department of Gynecology, Catholic University of the Sacred Heart, Rome, Italy.
Mark McHugh
Marco Petrillo
Steven Sieber
Shiquan He
Mirko Andreoli
Zheyang Wu
Paul Fiedler
Giovanni Scambia
Shohreh Shahabi
Cristiano FerliniDanbury Hospital Research Institute, Danbury, CT, USA; Department of Oncology, Jean Paul IInd Research Foundation, Campobasso, Italy.
Danbury Hospital · USUniversità Cattolica del Sacro Cuore · ITYale University · USWorcester Polytechnic Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is the most lethal gynecologic malignancy. Recently, NACT (Neo Adjuvant Chemotherapy) has been tested as alternative approach for the management of ovarian cancer patients. A biological predictor helpful in selecting patients for NACT would be desirable. This study was aimed at identifying actionable mechanisms of resistance to NACT. Expression of a panel of microRNAs was screened in a discovery set of 85 patients. Analysis of the potential targets was conducted in the same RNAs by calculating significant correlations between microRNAs and genes. Quantitative fluorescent immunohistochemistry was employed in a validation set of 109 patients. MiR-193a-5p was significantly overexpressed in the NACT setting. Analysis of its potential targets demonstrated that this microRNA is also significantly correlated with HGF and MET genes. Analysis of protein expression in samples taken before and after NACT demonstrated that both HGF and c-Met are increased after NACT. Patients who relapse shortly after NACT exhibited the highest relative basal expression of both HGF and c-Met, while the opposite phenomenon was observed in the best responders. Mir-193a-5p, HGF and c-Met expression may help select eligible patients for this modality of treatment. Moreover, inhibitors of this pathway may improve the efficacy of NACT.

Indexed as

Cell Line, TumorChemotherapy, AdjuvantFemaleGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansImmunohistochemistryKaplan-Meier EstimateMicroRNAsMiddle AgedNeoadjuvant TherapyOvarian NeoplasmsProto-Oncogene Proteins c-metRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionTissue Array AnalysisHepatocyte Growth FactorHGF protein, humanMicroRNAsMIRN193 microRNA, humanProto-Oncogene Proteins c-met

Identifiers

PMID24952592
PMCPMC4148105
OpenAlexW2115168278

What OpenQuestion holds

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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.