Medical Journals

Molecular Models for the Tissue Specificity of Dna Mismatch Repair-deficient Carcinogenesis.

Authors:
  • Chao Elizabeth C
  • Lipkin Steven M

From: Department of Medicine, Division of Hematology-Oncology, University of California Irvine, CA 92697-4038, USA. ecchao@uci.edu

Nucleic acids research

  • Publish Date: 2006
  • ISSN: 1362-4962
  • Volume: 34
  • Issue: 3
  • Pages: 840-52
  • Medium: Internet
  • Language: English
  • Citation (JAMA): Chao Elizabeth C, Lipkin Steven M, et al. Molecular Models for the Tissue Specificity of Dna Mismatch Repair-deficient Carcinogenesis.. Nucleic Acids Res. 2006;34:840-52

Abstract

A common feature of all the known cancer genetic syndromes is that they predispose only to selective types of malignancy. However, many of the genes mutated in these syndromes are ubiquitously expressed, and influence seemingly universal processes such as DNA repair or cell cycle control. The tissue specificity of cancers that arise from malfunction of these apparently universal traits remains a key puzzle in cancer genetics. Mutations in DNA mismatch repair (MMR) genes cause the most common known cancer genetic syndrome, hereditary non-polyposis colorectal cancer, and the fundamental biology of MMR is one of the most intensively studied processes in laboratories all around the world. This review uses MMR as a model system to understand mechanisms that may explain the selective development of tumors in particular cell types despite the universal nature of this process. We evaluate recent data giving insights into the specific tumor types that are attributable to defective MMR in humans and mice under different modes of inheritance, and propose models that may explain the spectrum of cancer types observed.

Mesh Headings (Keywords): Animals, Apoptosis, Base Pair Mismatch, Cell Proliferation, DNA Repair, Genetic Predisposition to Disease, Germ-Line Mutation, Humans, Immunologic Surveillance, Intestinal Mucosa, Mice, Models, Biological, Neoplasms


Check for Full Text / PubMed Unique Identifier (PMID): 16464822


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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