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Clinical Chemistry 0: clinchem.2004.032060v1, 2004; 10.1373/clinchem.2004.032060
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Received on January 28, 2004
Accepted on May 17, 2004

Molecular Diagnostics and Genetics

Three-Dimensional Microarray Compared with PCR-Single-Strand Conformation Polymorphism Analysis and DNA Sequencing for Mutation Analysis of K-ras Codons 12 and 13

Masato Maekawa 1*, Tomonori Nagaoka 2, Terumi Taniguchi 1, Hitomi Higashi 1, Haruhiko Sugimura 3, Kokichi Sugano 4, Hiroyuki Yonekawa 5, Takatomo Satoh 6, Toshinobu Horii 1, Naohito Shirai 1, Akihiro Takeshita 1, Takashi Kanno 1

1 Department of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
2 Department of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan and Genome Medical Business Division, OLYMPUS Corporation, Hachioji, Japan.
3 1st Department of Pathology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
4 Oncogene Research Unit/Cancer Prevention Unit, Tochigi Cancer Center Research Institute, Utsunomiya, Japan
5 Scientific Equipment Group, OLYMPUS America, Inc., New York, NY
6 Genome Medical Business Division, OLYMPUS Corporation, Hachioji, Japan.

* To whom correspondence should be addressed. E-mail: mmaekawa{at}hama-med.ac.jp.

Background: We developed a rapid, precise, and accurate microarray-based method that uses a three-dimensional platform for detection of mutations.

Methods: We used the PamChip® microarray to detect mutations in codons 12 and 13 of K-ras in 15 cell lines and 81 gastric or colorectal cancer tissues. Fluorescein isothiocyanate-labeled PCR products were analyzed with the microarray. We confirmed the microarray results with PCR-single-strand conformation polymorphism (SSCP) analysis and DNA sequencing.

Results: We could correctly identify wild-type, heterozygous, and homozygous mutant genotypes with the PamChip microarray in <3.5 h. The array data were consistent with those of PCR-SSCP analysis and DNA sequencing. All 15 cell lines and 80 of 81 clinical cancer specimens (98.8%) were genotyped accurately with the microarray, a rate better than that of direct DNA sequencing (38.9%) or SSCP (93.8%). Only one clinical specimen was misdiagnosed as homozygous for the wild-type allele. Densitometric analysis of SSCP bands indicated that the content of the mutant allele in the specimen was ~16%. The PamChip microarray could detect mutant alleles representing more than 25% of the SSCP band proportions. Therefore, the limit for detection of mutant alleles by the PamChip microarray was estimated to be 16-25% of the total DNA.

Conclusions: The PamChip microarray is a novel three-dimensional microarray system and can be used to analyze K-ras mutations quickly and accurately. The mutation detection rate was nearly 100% and was similar to that of PCR-SSCP together with sequencing analysis, but the microarray analysis was faster and easier.




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