The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The IARC TP53 database: New online mutation analysis and recommendations to users
Open accessAbstract
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.
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“TP53 missense mutations clearly predominate over frameshift and nonsense mutations in cancer cells (Olivier, et al., 2002).”
From The Mdm network and its regulation of p53 activities: a rheostat of cancer risk (2014) · cites this paper as Olivier, et al., 2002
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Cites
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Heterozygous Germ Line hCHK2 Mutations in Li-Fraumeni Syndrome
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Flagged first, then by citations
Research works printed but not linked: 3
- Greenblatt, 1994, Cancer Res, 54, 4855
- Hollstein, 1994, Nucleic Acids Res, 22, 3551
- Vahteristo, 2001, Cancer Res, 61, 5718
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Hingorani, S. R., Wang, L., Multani, A. S., Combs, C., Deramaudt, T. B., Hruban, R. H., Rustgi, A. K., Chang, S., & Tuveson, D. A. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.04.023 · Cited by 2,609
Restoration of p53 function leads to tumour regression in vivo
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“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].”
BackgroundMutant p53 gain of function in two mouse models of Li-Fraumeni syndrome
Olive, K. P., Tuveson, D. A., Ruhe, Z. C., Yin, B., Willis, N. A., Bronson, R. T., Crowley, D., & Jacks, T. (2004) · Cell · doi:10.1016/j.cell.2004.11.004 · Cited by 1,308
Metadata
- Authors
- Olivier, M., Eeles, R., Hollstein, M., Khan, M. A., Harris, C. C., & Hainaut, P.
- Affiliations
- World Health Organization (CH)
- German Cancer Research Center (DE)
- National Institutes of Health (US)
- Corresponding author
- Hainaut, Pierre
- Venue
- Human Mutation
- Publisher
- Wiley
- Published
- 2002-05-03
- Volume
- 19
- Issue
- 6
- Pages
- 607-614
- ISSN
- 1059-7794 (ISSN-L)
- 1098-1004
- OpenAlex
- W2073576377
- Cited by
- 1,248
- References
- 14
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 33 · 2023: 46 · 2022: 33 · 2021: 33 · 2020: 32 · 2019: 31 · 2018: 40 · 2017: 30 · 2016: 37 · 2015: 34 · 2014: 48 · 2013: 43 · 2012: 61
- FWCI
- 29.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Mutation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- TP53 mutation, somatic mutations, TP53 polymorphisms, mutation patterns, cancer genomics, carcinogen exposure, viral infection, genetic background, database restructuring
- MeSH terms
- DNA Mutational Analysis, Humans, Mutation, Genes, Tumor Suppressor, Genes, p53, Li-Fraumeni Syndrome, Computational Biology, Internet, Databases, Genetic
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