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Detection of low-level KRAS mutations using PNA-mediated asymmetric PCR clamping and melting curve analysis with unlabeled probes

  • Eun Oh Ji
  • , Sun Lim Hee
  • , Hyeok An Chang
  • , Goo Jeong Eun
  • , Youn Han Ji
  • , Hyung Lee Sug
  • , Jin Yoo Nam
  • The Catholic University of Korea
  • National Cancer Center Korea

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

Detection of somatic mutations in clinical cancer specimens is often hampered by excess wild-type DNA. The aim of this study was to develop a simple and economical protocol without using fluorescent probes to detect low-level mutations. In this study, we combined peptide nucleic acid (PNA)-clamping PCR with asymmetric primers and a melting curve analysis using an unlabeled detection probe. PNA-clamping PCR, which suppressed amplification of the wild-type allele, was more sensitive for KRAS codon 12 mutation detection than nonclamping PCR in 5 different mutant cell lines. Three detection probes were tested (a perfectly matched antisense, a mismatched antisense, and a mismatched sense), and the mismatched sense detection probe showed the highest sensitivity (0.1% mutant detection) under clamping conditions. With this probe, we were able to detect not only the perfectly matched KRAS mutation, but also 4 other mismatched mutations of KRAS. We then applied this protocol to 10 human colon cancer tissues with KRAS codon 12 mutations, successfully detecting the mutations in all of them. Our data indicate that the combination of perfectly matched antisense PNA and a mismatched sense detection probe can detect KRAS mutations with a high sensitivity in both cell lines and human tissues. Moreover, this study might prove an easily applicable protocol for the detection of lowlevel mutations in other cancer genes.

Original languageEnglish
Pages (from-to)418-424
Number of pages7
JournalJournal of Molecular Diagnostics
Volume12
Issue number4
DOIs
StatePublished - 1 Jul 2010

Bibliographical note

Funding Information:
Supported by a grant from Ministry for Health, Welfare, and Family Affairs ( A080083 ) and a grant from National Research Foundation ( R01-2008-000-10014-0 ).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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