Evidence map›Paper›PMID 25211658›Full record

ReviewBritish journal of cancer2015

New insights into signalling-pathway alterations in rhabdomyosarcoma.

B Zhu, J K Davie

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Molecular Mechanisms of Carcinogenesis in Pediatric Airways Tumors.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Rhabdomyosarcomas are oncogene addicted to the activation of AVIL.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

B ZhuDepartment of Biochemistry and Molecular Biology and Simmons Cancer Institute, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA.
J K DavieDepartment of Biochemistry and Molecular Biology and Simmons Cancer Institute, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA.
Southern Illinois University Carbondale · US

Funding

Understanding the Role of the Class II Activator, CIITA, in Skeletal MuscleR15AR060017 · NIAMS · SOUTHERN ILLINOIS UNIVERSITY CARBONDALE · PI DAVIE, JUDITH KIMBERLY · 2011 to 2011
$393k
NIAMS NIH HHS R15 AR060017
6 · The paper itself

Abstract

Rhabdomyosarcoma (RMS) is the most common soft-tissue sarcoma in children and young adults. Several recent studies have shed new light on the alterations in signalling pathways and the downstream effects of these pathway alterations in RMS. Many of these effects converge on the fibroblast growth factor and insulin-like growth-factor pathways. These new findings improve the current understanding of RMS, thus offering novel potential therapeutic targets and strategies that may improve the outcome for patients with RMS.

Indexed as

Signal TransductionAnimalsCell CycleGene Expression Regulation, NeoplasticHumansIntercellular Signaling Peptides and ProteinsMuscle NeoplasmsOncogenesRhabdomyosarcomaT-Box Domain ProteinsIntercellular Signaling Peptides and ProteinsT-Box Domain Protein 2T-Box Domain Proteins

Identifiers

PMID25211658
PMCPMC4453439
OpenAlexW2057835468

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.