Evidence map›Paper›PMID 9399837›Full record

ArticleNucleic acids research1998

IARC Database of p53 gene mutations in human tumors and cell lines: updated compilation, revised formats and new visualisation tools.

P Hainaut, T Hernandez, A Robinson, P Rodriguez-Tome, T Flores, M Hollstein, C C Harris, R Montesano

Abstract read
In one paragraph

Article in Nucleic acids research, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 2 pooled it
–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

131 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Association Between theFrontiers in genetics · 2022
    Pooled it
  2. Pooled it
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  13. dbGENVOC: database of GENomic Variants of Oral Cancer, with special reference to India.Database : the journal of biological databases and curation · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
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71 more citing papers are in PubMed but not listed here.

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

8 authors.

P HainautInternational Agency for Research on Cancer, 150 cours Albert-Thomas, 69372 Lyon Cedex 08, France. hainaut@iarc.fr
T Hernandez
A Robinson
P Rodriguez-Tome
T Flores
M Hollstein
C C Harris
R Montesano

Funding

Wellcome Trust
6 · The paper itself

Abstract

Since 1989, about 570 different p53 mutations have been identified in more than 8000 human cancers. A database of these mutations was initiated by M. Hollstein and C. C. Harris in 1990. This database originally consisted of a list of somatic point mutations in the p 53 gene of human tumors and cell lines, compiled from the published literature and made available in a standard electronic form. The database is maintained at the International Agency for Research on Cancer (IARC) and updated versions are released twice a year (January and July). The current version (July 1997) contains records on 6800 published mutations and will surpass the 8000 mark in the January 1998 release. The database now contains information on somatic and germline mutations in a new format to facilitate data retrieval. In addition, new tools are constructed to improve data analysis, such as a Mutation Viewer Java applet developed at the European Bioinformatics Institute (EBI) to visualise the location and impact of mutations on p53 protein structure. The database is available in different electronic formats at IARC (http://www.iarc. fr/p53/homepage.htm ) or from the EBI server (http://www.ebi.ac.uk ). The IARC p53 website also provides reports on database analysis and links with other p53 sites as well as with related databases. In this report, we describe the criteria for inclusion of data, the revised format and the new visualisation tools. We also briefly discuss the relevance of p 53 mutations to clinical and biological questions.

Indexed as

Databases, FactualGenes, p53MutationComputer Communication NetworksComputer GraphicsForecastingHumansNeoplasmsSoftwareTumor Cells, Cultured

Identifiers

PMID9399837
PMCPMC147235

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.