Evidence map›Paper›PMID 24143114›Full record

ReviewOncoTargets and therapy2013

Targeting hedgehog signaling in cancer: research and clinical developments.

Jingwu Xie, Christopher M Bartels, Scott W Barton, Dongsheng Gu

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A sesquiterpene lactone fromOncology letters · 2016
    Article
  18. 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

4 authors.

Jingwu XieWells Center for Pediatric Research, Division of Hematology and Oncology, Department of Pediatrics, Indiana University Simon Cancer Center, Indiana University, Indianapolis, IN, USA.
Christopher M Bartels
Scott W Barton
Dongsheng Gu

Funding

Molecular Basis of Hedgehog Signaling in CarcinogenesisR01CA094160 · NCI · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI XIE, JINGWU · 2002 to 2011
$2.8M
Regulation of immune surveillance by hedgehog signaling in tumor microenvironmentR01CA155086 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI XIE, JINGWU · 2012 to 2016
$1.6M
NCI NIH HHS R01 CA094160NCI NIH HHS R01 CA155086
6 · The paper itself

Abstract

Since its first description in Drosophila by Drs Nusslein-Volhard and Wieschaus in 1980, hedgehog (Hh) signaling has been implicated in regulation of cell differentiation, proliferation, tissue polarity, stem cell maintenance, and carcinogenesis. The first link of Hh signaling to cancer was established through studies of Gorlin syndrome in 1996 by two independent teams. Later, it was shown that Hh signaling may be involved in many types of cancer, including skin, leukemia, lung, brain, and gastrointestinal cancers. In early 2012, the US Food and Drug Administration approved the clinical use of Hh inhibitor Erivedge/vismodegib for treatment of locally advanced and metastatic basal cell carcinomas. With further investigation, it is possible to see more clinical applications of Hh signaling inhibitors. In this review, we will summarize major advances in the last 3 years in our understanding of Hh signaling activation in human cancer, and recent developments in preclinical and clinical studies using Hh signaling inhibitors.

Indexed as

animal modelcancerclinical trialshedgehogPTCH1signal transductionsmoothened

Identifiers

PMID24143114
PMCPMC3797650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.