The Mutator Phenotype in Cancer: Molecular Mechanisms and Targeting Strategies

Author(s): Marc J. Prindle, Edward J. Fox, Lawrence A. Loeb.

Journal Name: Current Drug Targets

Volume 11 , Issue 10 , 2010

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Abstract:

Normal human cells replicate their DNA with exceptional accuracy. It has been estimated that approximately one error occurs during DNA replication for each 109 to 1010 nucleotides polymerized. In contrast, malignant cells exhibit multiple chromosomal abnormalities and contain tens of thousands of alterations in the nucleotide sequence of nuclear DNA. To account for the disparity between the rarity of mutations in normal cells and the large numbers of mutations present in cancer, we have hypothesized that during tumor development, cancer cells exhibit a mutator phenotype. As a defining feature of cancer, the mutator phenotype remains an as-yet unexplored therapeutic target: by reducing the rate at which mutations accumulate it may be possible to significantly delay tumor development; conversely, the large number of mutations in cancer may make cancer cells more sensitive to cell killing by increasing the mutation rate. Here we summarize the evidence for the mutator phenotype hypothesis in cancer and explore how the increased frequency of random mutations during the evolution of human tumors provides new approaches for the design of cancer chemotherapy.

Keywords: Mutator phenotype, lethal mutagenesis, error catastrophe, cancer genome, DNA replication, Malignant cells, Mutations, Chemotherapy, Metastasis, Chromosomal alterations, Nucleotides, Adenocarcinomas, Tumor, DNA sequences, Frameshif mutations, Heterogeneity, Tumorigenesis, Acute myeloid leukemia, Evolution, Genetic diversity, Amplilfication, Primers, Random mutation capture (RMC) assay, Inflammation, Human immunjodeficiency virus, HIV therapy, KP-1212, Koronis Pharmaceuticals, KP-1461, Temozolomide, Radition, Mutagenic therapy

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Article Details

VOLUME: 11
ISSUE: 10
Year: 2010
Page: [1296 - 1303]
Pages: 8
DOI: 10.2174/1389450111007011296
Price: $65

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