The TP53 Database

The TP53 Database ( compiles TP53 variant data that have been reported in the published literature since 1989 or are available in other public databases. Database releases are identified by a number. The following data are available:

The TP53 Database is meant to be a source of information on TP53 variants for a broad range of scientists and clinicians who work in different research areas:

  • Basic research, to study the structural and functional aspects of the p53 protein and the TP53 gene

  • Molecular pathology of cancer, to understand the clinical significance of TP53 variants identified in cancer patients

  • Molecular epidemiology of cancer, to analyze the links between specific exposures and TP53 variant patterns in order to make inferences about possible causes of cancer

  • Molecular genetics, to analyze genotype/phenotype relationships

The database includes various annotations on the predicted or experimentally assessed functional impact of TP53 variants, clinicopathologic characteristics of tumors and demographic and life-style information on patients. This information is useful to compile tumor-specific variant patterns and to draw hypotheses on the nature of the molecular events involved in TP53 mutagenesis and allows for the analysis of genotype/phenotype relationships.

Detailed information on data and annotations available is provided in the User Manual.

The ongoing project involves:

  • Performing regular review of the literature on TP53 variants

  • Extracting TP53 data from genetic and genomic databases

  • Developing standard annotations of TP53 variants

  • Performing research on TP53 variants, their patterns, origins and clinical impacts.

How to Cite

When using the database, authors should cite the following source:

The TP53 Database (R20, July 2019):

and refer to Bouaoun et al. in the bibliography as below:

Bouaoun L, Sonkin D, Ardin M, Hollstein M, Byrnes G, Zavadil J, Olivier M. TP53 Variations in Human Cancers: New Lessons from the IARC TP53 Database and Genomics Data. Hum Mutat. 2016 Sep;37(9):865-76. doi: 10.1002/humu.23035. Epub 2016 Jul 8.

More Information

For information regarding releases, credits and disclaimers, please see the TP53 About page.

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