Evidence map›Paper›PMID 29100308›Full record

ArticleOncotarget2017

Integration of genomic, transcriptomic and functional profiles of aggressive osteosarcomas across multiple species.

Lara E Davis, Sophia Jeng, Matthew N Svalina, Elaine Huang, Janét Pittsenbarger, Emma L Cantor, Noah Berlow, Bernard Seguin, Atiya Mansoor, Shannon K McWeeney and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Role of ARK5 in cancer and other diseases (Review).Experimental and therapeutic medicine · 2021
    Review
  6. Article
  7. Article
  8. Novel application of single-cell next-generation sequencing for determination of intratumoral heterogeneity of canine osteosarcoma cell lines.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
    Article
  9. 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

11 authors at 3 institutions in 1 country.

Lara E DavisKnight Cancer Institute, Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA.
Sophia JengDivision of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Sciences University, Portland, Oregon, USA.
Matthew N SvalinaDepartment of Pediatrics, Oregon Health and Sciences University, Portland, Oregon, USA.
Elaine HuangDepartment of Pediatrics, Oregon Health and Sciences University, Portland, Oregon, USA.
Janét PittsenbargerKnight Cancer Institute, Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA.
Emma L CantorDepartment of Pediatrics, Oregon Health and Sciences University, Portland, Oregon, USA.
Noah BerlowChildren's Cancer Therapy Development Institute, Beaverton, Oregon, USA.
Bernard SeguinFlint Animal Cancer Center, Colorado State University, Fort Collins, Colorado, USA.
Atiya MansoorDepartment of Pathology, Oregon Health and Sciences University, Portland, Oregon, USA.
Shannon K McWeeneyDivision of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Sciences University, Portland, Oregon, USA.
Charles KellerChildren's Cancer Therapy Development Institute, Beaverton, Oregon, USA.
Oregon Health & Science University · USChildren's Cancer Therapy Development Institute · USColorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In complex, highly unstable genomes such as in osteosarcoma, targeting aberrant checkpoint processes (metabolic, cell cycle or immune) may prove more successful than targeting specific kinase or growth factor signaling pathways. Here, we establish a comparative oncology approach characterizing the most lethal osteosarcomas identified in a biorepository of tumors from three different species: human, mouse and canine. We describe the development of a genetically-engineered mouse model of osteosarcoma, establishment of primary cell cultures from fatal human tumors, and a biorepository of osteosarcoma surgical specimens from pet dogs. We analyzed the DNA mutations, differential RNA expression and

Indexed as

checkpoint adaptationcomparative oncologymetastasesosteosarcomaosterix

Identifiers

PMID29100308
PMCPMC5652702
OpenAlexW2738987172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.