Sensitive High-Resolution Melting Analysis for Screening of KRAS and BRAF Mutations in Iranian Human Metastatic Colorectal Cancers
Background: Investigations of methods for detection of mutations have uncovered major weaknesses of direct sequencing and pyrosequencing, with their high costs and low sensitivity in screening for both known and unknown mutations. High resolution melting (HRM) analysis is an alternative tool for the...
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Veröffentlicht in: | Asian Pacific journal of cancer prevention : APJCP 2016-12, Vol.17 (12), p.5147-5152 |
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Sprache: | eng |
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Zusammenfassung: | Background: Investigations of methods for detection of mutations have uncovered major weaknesses of direct
sequencing and pyrosequencing, with their high costs and low sensitivity in screening for both known and unknown
mutations. High resolution melting (HRM) analysis is an alternative tool for the rapid detection of mutations. Here we
describe the accuracy of HRM in screening for KRAS and BRAF mutations in metastatic colorectal cancer (mCRCs)
samples. Materials and Methods: A total of 1000 mCRC patients in Mehr Hospital, Tehran, Iran, from Feb 2008 to
May 2012 were examined for KRAS mutations and 242 of them were selected for further assessment of BRAF mutations
by HRM analysis. In order to calculate the sensitivity and specificity, HRM results were checked by pyrosequencing
as the golden standard and Dxs Therascreen as a further method. Results: In the total of 1,000 participants, there
were 664 (66.4%) with wild type and 336 (33.6%) with mutant codons 12 and/or 13 of the KRAS gene. Among 242
samples randomly checked for the BRAF gene, all were wild type by HRM. Pyrosequencing and Dxs Therascreen
results were in line with those of the HRM. In this regard, the sensitivity and specificity of HRM were evaluated as
100%. Conclusion: The findings suggest that the HRM, in comparison with DNA sequencing, is a more appropriate
method for precise scanning of KRAS and BRAF mutations. It is also possible to state that HRM may be an attractive
technique for the detection of known or unknown somatic mutations in other genes. |
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ISSN: | 1513-7368 2476-762X |
DOI: | 10.22034/APJCP.2016.17.12.5147 |