Evidence map›Paper›PMID 9738976›Full record

ArticleJapanese journal of cancer research : Gann1998

Molecular analysis of Ewing's sarcoma: another fusion gene, EWS-E1AF, available for diagnosis.

F Urano, A Umezawa, H Yabe, W Hong, K Yoshida, K Fujinaga, J Hata

Open access · bronzeAbstract read
In one paragraph

Article in Japanese journal of cancer research : Gann, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 76 citations in OpenAlex.

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  11. Review
  12. EWSR1 fusion proteins mediate PAX7 expression in Ewing sarcoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
  13. Article
  14. Article
  15. 3D tissue-engineered model of Ewing's sarcoma.Advanced drug delivery reviews · 2014
    Review
  16. Article
  17. Article
  18. Article
  19. Article
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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

7 authors at 2 institutions in 1 country.

F UranoDepartment of Pathology, Keio University School of Medicine, Tokyo.
A Umezawa
H Yabe
W Hong
K Yoshida
K Fujinaga
J Hata
Keio University · JPSapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ewing's sarcoma, one of the most malignant tumors of children and young adults, expresses specific chimeric genes, e.g. EWS-FLI-1, EWS-ERG, EWS-ETV1 and EWS-FEV. In this paper, we extensively characterized a new fusion gene, EWS-EIAF by means of whole cDNA sequencing, RNA blot analysis, DNA blot analysis and chromosomal analysis, and showed it to be available for the diagnosis of Ewing's sarcoma and to participate in the oncogenesis of Ewing's sarcoma. Furthermore, we conducted a genetic analysis of Ewing family tumors in conjunction with immunohistochemical analysis and ultrastructural analysis. Our results demonstrate some limitations of both genetic analysis and histopathological analysis, and establish the relationship between neurogenic phenotypes and chimera genes.

Indexed as

Adenovirus E1A ProteinsAdolescentAdultAmino Acid SequenceBase SequenceChildChild, PreschoolDNA, ComplementaryFemaleGene RearrangementHeterogeneous-Nuclear RibonucleoproteinsHumansMaleMolecular Sequence DataOncogene Proteins, FusionPolymerase Chain ReactionAdenovirus E1A ProteinsDNA, ComplementaryETV4 protein, humanHeterogeneous-Nuclear RibonucleoproteinsOncogene Proteins, FusionProto-Oncogene ProteinsProto-Oncogene Proteins c-etsRibonucleoproteinsRNA-Binding Protein EWS

Identifiers

PMID9738976
PMCPMC5921883
OpenAlexW1993254495

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.