Evidence map›Paper›PMID 31529263›Full record

ReviewCurrent osteoporosis reports2019

Osteosarcoma in the Post Genome Era: Preclinical Models and Approaches to Identify Tractable Therapeutic Targets.

Wilson Castillo-Tandazo, Anthony J Mutsaers, Carl R Walkley

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Canine and murine models of osteosarcoma.Veterinary pathology · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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  12. Article
  13. Article
  14. Genetically Engineered Pigs to Study Cancer.International journal of molecular sciences · 2020
    Review
  15. Article
  16. 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

3 authors.

Wilson Castillo-TandazoSt. Vincent's Institute, 9 Princes St, Fitzroy, VIC, 3065, Australia.
Anthony J MutsaersDepartment of Biomedical Sciences, Ontario Veterinary College, Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Canada. mutsaers@uoguelph.ca.
Carl R WalkleySt. Vincent's Institute, 9 Princes St, Fitzroy, VIC, 3065, Australia. cwalkley@svi.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOsteosarcoma (OS) is the most common cancer of bone, yet is classified as a rare cancer. Treatment and outcomes for OS have not substantively changed in several decades. While the decoding of the OS genome greatly advanced the understanding of the mutational landscape of OS, immediately actionable therapeutic targets were not apparent. Here we describe recent preclinical models that can be leveraged to identify, test, and prioritize therapeutic candidates. RECENT

findingsThe generation of multiple high fidelity murine models of OS, the spontaneous disease that arises in pet dogs, and the establishment of a diverse collection of patient-derived OS xenografts provide a robust preclinical platform for OS. These models enable evidence to be accumulated across multiple stages of preclinical evaluation. Chemical and genetic screening has identified therapeutic targets, often demonstrating cross species activity. Clinical trials in both PDX models and in canine OS have effectively tested new therapies for prioritization. Improving clinical outcomes in OS has proven elusive. The integrated target discovery and testing possible through a cross species platform provides validation of a putative target and may enable the rigorous evaluation of new therapies in models where endpoints can be rapidly assessed.

Indexed as

Disease Models, AnimalAnimalsAntineoplastic AgentsBone NeoplasmsDogsGenetic TherapyGenome, HumanHumansMiceOsteosarcomaAntineoplastic AgentsCanine OS, sarcomaMouse modelsOsteosarcomaPatient-derived xenograft

Identifiers

What OpenQuestion holds

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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.