Abstract

In cancer research, gene expression and mutations are increasingly investigated by use of oligonucleotide microarrays, which use immobilized oligonucleotides and sequence-specific DNA probe hybridization to investigate differences between nondiseased and cancer tissues (1). In our previous works, we used oligonucleotide microarray-based mutation analysis to detect germline or somatic mutations (2)(3). Activating mutations of the K- ras gene occur in ∼20–50% of colorectal cancers, with ∼85% of the mutations restricted to codons 12 and 13 (4). K- ras gene mutations have been widely studied as markers for cancer prognosis, and population-based studies have suggested that mutated K- ras might be associated with some tumor phenotypes (4)(5)(6). Studies of associations between K- ras mutations and specific clinical features generally require the analysis of large numbers of samples (5). Thus, researchers need a high-throughput technique for assessing K- ras mutations. Oligonucleotide microarrays may provide a valid option because they allow scientists to accurately and rapidly process large numbers of samples. Because the K- ras gene is known to have two mutational hot spots (codons 12 and 13), it has been used as a target gene for testing newly developed techniques for mutation detection, including various applications of the DNA chip (7)(8). Here we describe a new method for K- ras oligonucleotide microarray analysis called competitive DNA hybridization (CDH). CDH is a novel, efficient, high-capacity hybridization technique in which various fluorescently labeled samples are mixed to compete with each other in a hybridization reaction. A total of 204 Korean patients with colorectal cancer from Seoul National University Hospital and the National Cancer Center of Korea were screened for somatic K- ras mutations in this study. Written informed consent was obtained from all patients; the cancers included 103 cancers originating from the proximal colon and 101 …

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