Literature DB >> 27071699

Locked nucleic acid probe enhances Sanger sequencing sensitivity and improves diagnostic accuracy of high-resolution melting-based KRAS mutational analysis.

Takayuki Ishige1, Sakae Itoga2, Kazuyuki Matsushita3, Fumio Nomura4.   

Abstract

BACKGROUND: Sanger sequencing is the gold standard for mutational analysis and widely used after high resolution melting (HRM) screening. However, the sensitivity of this method may be insufficient for identifying low frequency mutations. Therefore, for accurate diagnosis, enhanced sensitivity is warranted.
METHODS: We designed a wild-type blocking cycle sequencing method using locked nucleic acid (LNA) probe (LNA-Sanger sequencing) for codons 12 and 13 of KRAS exon 2. We analyzed the sensitivities of HRM, conventional Sanger sequencing, and LNA-Sanger sequencing of formalin-fixed paraffin-embedded (FFPE) reference standard samples with low frequency (5%) mutations in codons 12 and 13.
RESULTS: Use of LNA probe significantly improved the sensitivity of Sanger sequencing (p=0.0003). Sensitivities of KRAS mutation tests were as follows: HRM, 5%; conventional Sanger sequencing, 10%; and LNA-Sanger sequencing, 5%. FFPE samples with 5% mutation were accurately diagnosed by LNA-Sanger sequencing, whereas it was difficult to identify the mutations by conventional Sanger sequencing.
CONCLUSIONS: LNA-Sanger sequencing is a facile technique for the enrichment of mutant alleles and useful for the accurate diagnosis of HRM-positive cases with low frequency mutations.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  High resolution melting; KRAS codons 12 and 13; Locked nucleic acid; Mutational analysis; Sanger sequencing

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Year:  2016        PMID: 27071699     DOI: 10.1016/j.cca.2016.04.005

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  1 in total

1.  EGFR Gene Mutation and Methodological Evaluation in 399 Patients with Non-small Cell Lung Cancer.

Authors:  Hong-Yun Zheng; Hai-Bo Wang; Fu-Jin Shen; Yong-Qing Tong; Qian Yao; Bin Qiao; Si Sun; Yan Li
Journal:  Curr Med Sci       Date:  2020-03-13
  1 in total

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