Literature DB >> 11861435

Diagnostic biochip array for fast and sensitive detection of K-ras mutations in stool.

Lothar Prix1, Peter Uciechowski, Beatrix Böckmann, Michael Giesing, Andreas J Schuetz.   

Abstract

BACKGROUND: Tumor cells that shed into stool are attractive targets for molecular screening and early detection of colon or pancreatic malignancies. We developed a diagnostic test to screen for 10 of the most common mutations of codons 12 and 13 of the K-ras gene by hybridization to a new biochip array.
METHODS: DNA was isolated from 26 stool samples by column-based extraction from 9 cell lines. Peptide nucleic acid (PNA)-mediated PCR clamping was used for mutant-specific amplification. We used a biochip, consisting of a small plastic support with covalently immobilized 13mer oligonucleotides. The read out of the biochip was done by confocal time-resolved laser scanning. Hybridization, scanning, and data evaluation could be performed in <2 h.
RESULTS: Approximately 80 ng of DNA was obtained from 200-mg stool samples. No inhibition of the PCR by remaining impurities from stool was observed. Mutation detection was possible in 1000-fold excess of wild-type sequence. Discrimination ratios between the mutations were >19 as demonstrated by hybridization with tumor cell line DNA. Stool samples (n = 26) were analyzed in parallel with PNA-PCR, restriction assay for K-ras codon 12 mutations, sequencing, and hybridization to the biochip. Nine mutations were found by hybridization, all confirmed by sequencing. PNA-PCR alone leads to an overestimation of mutations because suppression of the wild type is not effective enough with high concentrations of wild-type DNA. The restriction assay found only four mutations.
CONCLUSIONS: The K-ras biochip is well suited for fast mutation detection from stool in colorectal cancer screening.

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Year:  2002        PMID: 11861435

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  17 in total

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8.  KRAS Testing: A Tool for the Implementation of Personalized Medicine.

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