MDI Special Article

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p53 Website and analysis of p53 gene mutations in human cancer: Forging a link between epidemiology and carcinogenesis

  1. Thierry Soussi1,*,
  2. Karim Dehouche1,
  3. Christophe Béroud2

Article first published online: 27 DEC 1999

DOI: 10.1002/(SICI)1098-1004(200001)15:1<105::AID-HUMU19>3.0.CO;2-G

Issue

Human Mutation

Human Mutation

Special Issue: The HUGO Mutation Database Initiative: Issues, Databases, and Perspectives for the New Millennium

Volume 15, Issue 1, pages 105–113, January 2000

Additional Information

How to Cite

Soussi, T., Dehouche, K. and Béroud, C. (2000), p53 Website and analysis of p53 gene mutations in human cancer: Forging a link between epidemiology and carcinogenesis. Human Mutation, 15: 105–113. doi: 10.1002/(SICI)1098-1004(200001)15:1<105::AID-HUMU19>3.0.CO;2-G

Author Information

  1. 1

    Institut Curie, UMR 218 CNRS, Paris, France

  2. 2

    Hôpital Necker Enfants Malades, U383 INSERM, Paris, France

*UMR 218 CNRS, Institut Curie, 26 rue d'Ulm, 75248 Paris Cedex 05, France

Publication History

  1. Issue published online: 27 DEC 1999
  2. Article first published online: 27 DEC 1999
  3. Manuscript Accepted: 7 OCT 1999
  4. Manuscript Received: 7 SEP 1999

Funded by

  • ARC
  • Fondation de France

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Keywords:

  • MDI;
  • p53;
  • PT53;
  • mutation database;
  • locus-specific database;
  • cancer;
  • carcinogenesis;
  • epidemiology;
  • UMD

Abstract

The p53 tumor suppressor gene has proven to be one of the genes most often mutated in human cancers. It involves mainly point mutations leading to amino acid substitutions in the central region of the protein which impairs normal functions. Analysis of the mutational events that target the p53 gene has revealed evidence for both exogenous and endogenous mutational mechanisms. For example, the p53 mutational spectrum reveals evidence for a direct causal effect of ultraviolet radiation in skin cancer, of aflatoxin B1 in liver cancer, and of tobacco smoke in lung cancer. This novel field, molecular epidemiology of human cancer risk, has added a new dimension to classical associative epidemiology by providing a direct link between human cancer and carcinogen exposure. For such analysis, we devised a generic software called UMD (Universal Mutation Database). It was developed as a generic software to create locus-specific databases (LSDBs) with the 4th Dimension® package from ACI. This software includes an optimized structure to assist and secure data entry and to allow the input of various clinical data. Hum Mutat 15:105–113, 2000. © 2000 Wiley-Liss, Inc.

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