Evidence map›Paper›PMID 31181781›Full record

ArticleCancers2019

Clinical Impact of RANK Signalling in Ovarian Cancer.

Verena Wieser, Susanne Sprung, Irina Tsibulak, Johannes Haybaeck, Hubert Hackl, Heidelinde Fiegl, Christian Marth, Alain Gustave Zeimet

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. RANKL Blockade Reduces Cachexia and Bone Loss Induced by Non-Metastatic Ovarian Cancer in Mice.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Article
  6. Article
  7. Review
  8. 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

8 authors at 1 institution in 1 country.

Verena WieserDepartment of Obstetrics and Gynaecology, Medical University of Innsbruck, 6020 Innsbruck, Austria. verena.wieser@i-med.ac.at.
Susanne SprungInstitute of Pathology, Medical University Innsbruck, 6020 Innsbruck, Austria. Susanne.Sprung@i-med.ac.at.
Irina TsibulakDepartment of Obstetrics and Gynaecology, Medical University of Innsbruck, 6020 Innsbruck, Austria. irina.tsibulak@i-med.ac.at.
Johannes HaybaeckInstitute of Pathology, Medical University Innsbruck, 6020 Innsbruck, Austria. Johannes.Haybaeck@i-med.ac.at.
Hubert HacklBiocenter, Division of Bioinformatics, Medical University Innsbruck, 6020 Innsbruck, Austria. Hubert.Hackl@i-med.ac.at.ORCID 0000-0003-4055-3841
Heidelinde FieglDepartment of Obstetrics and Gynaecology, Medical University of Innsbruck, 6020 Innsbruck, Austria. heidelinde.fiegl@i-med.ac.at.
Christian MarthDepartment of Obstetrics and Gynaecology, Medical University of Innsbruck, 6020 Innsbruck, Austria. Christian.Marth@i-med.ac.at.
Alain Gustave ZeimetDepartment of Obstetrics and Gynaecology, Medical University of Innsbruck, 6020 Innsbruck, Austria. alain.zeimet@i-med.ac.at.
Innsbruck Medical University · AT

Funding

Verein zur Krebsforschung in der Frauenheilkunde not available
6 · The paper itself

Abstract

Ovarian cancer (OC) is a gynaecological malignancy with poor clinical outcome and limited treatment options. The receptor activator of nuclear factor-κB (RANK) pathway, activated by RANK ligand (RANKL), critically controls bone metabolism, tumourigenesis and tumour immune responses. Denosumab, a monocloncal RANKL antibody, exerts tumour-suppressive effects in mice and humans. Here, we investigated the relevance of RANK signalling in OC.

Indexed as

denosumabinflammationOPGovarian cancerRANKRANKL

Identifiers

PMID31181781
PMCPMC6627676
OpenAlexW2948654084

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.