The IARC TP53 database: New online mutation analysis and recommendations to users

By Magali Olivier, R. Eeles, M. Hollstein, Mohammed A. Khan, C. Harris, Pierre Hainaut. Human Mutation, 2002

1,328 citations recorded by the source corpus.

Mutations in the tumor suppressor gene TP53 are frequent in most human cancers. Comparison of the mutation patterns in different cancers may reveal clues on the natural history of the disease. Over the past 10 years, several databases of TP53 mutations have been developed. The most extensive of these databases is maintained and developed at the International Agency for Research on Cancer. The database compiles all mutations (somatic and inherited), as well as polymorphisms, that have been reported in the published literature since 1989. The IARC TP53 mutation dataset is the largest dataset available on the variations of any human gene. The database is available at www.iarc.fr/P53/. In this paper, we describe recent developments of the database. These developments include restructuring of the database, which is now patient‐centered, with more detailed annotations on the patient (carcinogen exposure, virus infection, genetic background). In addition, a new on‐line application to retrieve somatic mutation data and analyze mutation patterns is now available. We also discuss limitations on the use of the database and provide recommendations to users. Hum Mutat 19:607–614, 2002. © 2002 Wiley‐Liss, Inc.

Subfields: Cancer Research, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/acd36b17c486957cebacc3ad68bd83ed417bf9cc

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Citations in the corpus

Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database (2007, background): “It contains annotations related to the clinical and pathological characteristics of tumors, as well as the demographics and carcinogen exposure of patients [Olivier et al., 2002].”
mCSM: predicting the effects of mutations in proteins using graph-based signatures (2013, background): “While there is large variability in the genes implicated in tumorogenesis, over 50% of human cancers carry loss of function mutations in the transcription factor p53 (Olivier et al., 2002; Beroud and Soussi, 2003).”
Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data (2011, neutral): “2) and TP53 mutations that are observed in tumours 99 .”
The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website (2004, background): “For somatic mutations in cancer, there are many locus-specific web resources, such as those for p53 (Olivier et al , 2002; Be´roud and Soussi, 2003), that cover a single gene in depth.”
Prediction of Missense Mutation Functionality Depends on both the Algorithm and Sequence Alignment Employed (2011, neutral): “A description of inclusion criteria for the polymorphisms and germline deleterious variants is given [Olivier et al., 2002].”