Evidence map›Paper›PMID 23988893›Full record

ArticleIn vivo (Athens, Greece)

A clinically relevant mouse model of canine osteosarcoma with spontaneous metastasis.

Beth K Chaffee, Matthew J Allen

Open access · greenAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Molecular Mechanisms of Canine Osteosarcoma Metastasis.International journal of molecular sciences · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors at 1 institution in 1 country.

Beth K ChaffeeDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, 1925 Coffey Rd., Columbus, OH 43210, USA. chaffee.15@osu.edu
Matthew J Allen
The Ohio State University · US

Funding

The Ohio State University Center for Clinical and Translational Science (UL1)UL1TR000090 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2012 to 2013
$7.9M
Veterinary Student Research TrainingT35OD010991 · OD · TEXAS A&M AGRILIFE RESEARCH · PI GADDY, DANA · 2012 to 2025
$920k
NCATS NIH HHS 8UL1TR000090-05NCATS NIH HHS UL1 TR000090NIH HHS T35 OD010991
6 · The paper itself

Abstract

BACKGROUND/

aimMany patients with osteosarcoma (OS) will succumb to distant metastasis, often involving the lungs. Effective therapies for treating lung metastases depend on the availability of a clinically relevant pre-clinical model. MATERIALS AND

methodsMice were surgically implanted with OS tumor fragments. The time course of primary tumor growth and subsequent spread to the lung were determined.

resultsFollowing development of a lytic and proliferative primary bone lesion, tumor metastasized to the lung in the majority of mice. There was no evidence of tumor at three weeks, but 10 out of 11 mice ultimately developed secondary OS in the lung within 12 weeks.

conclusionImplantation of OS tumor fragments leads to the development of primary bone tumors and secondary lung metastases, recapitulating the clinical behavior of OS. This model offers an advantage over cell suspension injection models by precluding initial seeding of the lung with tumor cells.

Indexed as

AnimalsCell Line, TumorDisease Models, AnimalDogsFemaleHeterograftsLung NeoplasmsMiceNeoplasm MetastasisOsteosarcomametastasismouse modelOsteosarcoma

Identifiers

PMID23988893
PMCPMC4001249
OpenAlexW2218681703

What OpenQuestion holds

Textmetadata
LicenceTDM
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.