Evidence map›Paper›PMID 31669178›Full record

ArticleHuman pathology2019

RUNX2 (6p21.1) amplification in osteosarcoma.

Sounak Gupta, Tatsuo Ito, Deepu Alex, Chad M Vanderbilt, Jason C Chang, Nasrin Islamdoust, Yanming Zhang, Khedoudja Nafa, John Healey, Marc Ladanyi and 1 more

Open access · greenAbstract read
In one paragraph

Article in Human pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. RUNX2 and Cancer.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
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  19. 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 2 institutions in 1 country.

Sounak GuptaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065; Current Institutional Affiliation: Mayo Clinic, Rochester, MN, USA, 55905.
Tatsuo ItoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Deepu AlexDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Chad M VanderbiltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Jason C ChangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Nasrin IslamdoustDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Yanming ZhangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Khedoudja NafaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
John HealeyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Marc LadanyiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065.
Meera R HameedDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 10065. Electronic address: hameedm@mskcc.org.
Memorial Sloan Kettering Cancer Center · USMayo Clinic · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Prior cytogenetic profiling of osteosarcomas has suggested that amplifications at the 6p12-21 locus are relatively common alterations in these tumors. However, these studies have been limited by variable testing methodologies used as well as by the relatively small numbers of cases that have been analyzed. To better define the frequency of this alteration, 111 osteosarcomas were profiled using hybridization capture-based next-generation sequencing (NGS) platform (Memorial Sloan Kettering Integrated Mutation Profiling of Actionable Cancer Targets) as part of an institutional clinical cancer genomics initiative. Using this platform, amplification at the 6p12-21 locus was determined by copy number assessment of the VEGFA and CCND3 genes. In addition, fluorescence in situ hybridization was used to assess copy number status for RUNX2, a known transcriptional regulator of osteoblastic differentiation which has previously been reported to be dysregulated in osteosarcomas. 6p12-21 amplification using NGS-based copy number assessment was confirmed in more than a fifth of all cases tested (24 of 111, 21.6%). Most of these cases, when tested using fluorescence in situ hybridization, were found to include RUNX2 within the amplified locus (17 of 18, 94.4%). Whereas many laboratories lack access to large-panel NGS assays, the use of fluorescence in situ hybridization to identify 6p12-21 amplification events by targeting RUNX2 represents a widely available diagnostic modality for the identification of such cases. This could help better define the role of RUNX2 in osteoblastic differentiation and serve as a surrogate for the identification of potentially targetable alterations such as VEGFA amplification at this locus.

Indexed as

Gene AmplificationAdolescentAdultBiomarkers, TumorBone NeoplasmsChildCore Binding Factor Alpha 1 SubunitCyclin D3FemaleGene DosageGene Expression ProfilingGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansIn Situ Hybridization, FluorescenceMaleBiomarkers, TumorCCND3 protein, humanCore Binding Factor Alpha 1 SubunitCyclin D3RUNX2 protein, humanVascular Endothelial Growth Factor AVEGFA protein, human6p126p21AmplificationOsteosarcomaRUNX2

Identifiers

PMID31669178
PMCPMC7053429
OpenAlexW2981655388

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.