Evidence map›Paper›PMID 26483610›Full record

ReviewCancer growth and metastasis2015

Current State of Animal (Mouse) Modeling in Melanoma Research.

Omer F Kuzu, Felix D Nguyen, Mohammad A Noory, Arati Sharma

Abstract readReview
In one paragraph

Review in Cancer growth and metastasis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Re-examining the evidence that ivermectin induces a melanoma-like state in Xenopus embryos.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. Leveraging Tissue Engineering for Skin Cancer Models.Advances in experimental medicine and biology · 2023
    Article
  16. Article
  17. Article
  18. PET Imaging of VLA-4 in a New BRAFMolecular imaging and biology · 2022
    Article
  19. Article
  20. Review

1 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

4 authors.

Omer F KuzuDepartment of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Felix D NguyenThe University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mohammad A NooryDepartment of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Arati SharmaDepartment of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.

Funding

Chemopreventive Efficacy of Plumbagin in MelanomaR03CA142060 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SHARMA, ARATI · 2009 to 2010
$155k
NCI NIH HHS R03 CA142060
6 · The paper itself

Abstract

Despite the considerable progress in understanding the biology of human cancer and technological advancement in drug discovery, treatment failure remains an inevitable outcome for most cancer patients with advanced diseases, including melanoma. Despite FDA-approved BRAF-targeted therapies for advanced stage melanoma showed a great deal of promise, development of rapid resistance limits the success. Hence, the overall success rate of melanoma therapy still remains to be one of the worst compared to other malignancies. Advancement of next-generation sequencing technology allowed better identification of alterations that trigger melanoma development. As development of successful therapies strongly depends on clinically relevant preclinical models, together with the new findings, more advanced melanoma models have been generated. In this article, besides traditional mouse models of melanoma, we will discuss recent ones, such as patient-derived tumor xenografts, topically inducible BRAF mouse model and RCAS/TVA-based model, and their advantages as well as limitations. Although mouse models of melanoma are often criticized as poor predictors of whether an experimental drug would be an effective treatment, development of new and more relevant models could circumvent this problem in the near future.

Indexed as

genetically engineered mouse models (GEMMs)melanomapatient-derived tumor xenografts (PDTXs)syngeneic modelsxenografts

Identifiers

PMID26483610
PMCPMC4597587

What OpenQuestion holds

Textmetadata
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.