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A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection
BACKGROUND: KRAS, BRAF and PIK3CA mutations are frequently observed in colorectal cancer (CRC). In particular, KRAS mutations are strong predictors for clinical outcomes of EGFR-targeted treatments such as cetuximab and panitumumab in metastatic colorectal cancer (mCRC). For mutation analysis, the c...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650034/ https://www.ncbi.nlm.nih.gov/pubmed/23671647 http://dx.doi.org/10.1371/journal.pone.0062989 |
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author | Kitano, Shiro Myers, Jamie Nakamura, Junko Yamane, Akio Yamashita, Mami Nakayama, Masato Tsukahara, Yusuke Ushida, Hiroshi Liu, Wanqing Ratain, Mark J. Amano, Masahiko |
author_facet | Kitano, Shiro Myers, Jamie Nakamura, Junko Yamane, Akio Yamashita, Mami Nakayama, Masato Tsukahara, Yusuke Ushida, Hiroshi Liu, Wanqing Ratain, Mark J. Amano, Masahiko |
author_sort | Kitano, Shiro |
collection | PubMed |
description | BACKGROUND: KRAS, BRAF and PIK3CA mutations are frequently observed in colorectal cancer (CRC). In particular, KRAS mutations are strong predictors for clinical outcomes of EGFR-targeted treatments such as cetuximab and panitumumab in metastatic colorectal cancer (mCRC). For mutation analysis, the current methods are time-consuming, and not readily available to all oncologists and pathologists. We have developed a novel, simple, sensitive and fully automated molecular diagnostic system (AMDS) for point of care testing (POCT). Here we report the results of a comparison study between AMDS and direct sequencing (DS) in the detection of KRAS, BRAF and PI3KCA somatic mutations. METHODOLOGY/PRINCIPAL FINDING: DNA was extracted from a slice of either frozen (n = 89) or formalin-fixed and paraffin-embedded (FFPE) CRC tissue (n = 70), and then used for mutation analysis by AMDS and DS. All mutations (n = 41 among frozen and 27 among FFPE samples) detected by DS were also successfully (100%) detected by the AMDS. However, 8 frozen and 6 FFPE samples detected as wild-type in the DS analysis were shown as mutants in the AMDS analysis. By cloning-sequencing assays, these discordant samples were confirmed as true mutants. One sample had simultaneous “hot spot” mutations of KRAS and PIK3CA, and cloning assay comfirmed that E542K and E545K were not on the same allele. Genotyping call rates for DS were 100.0% (89/89) and 74.3% (52/70) in frozen and FFPE samples, respectively, for the first attempt; whereas that of AMDS was 100.0% for both sample sets. For automated DNA extraction and mutation detection by AMDS, frozen tissues (n = 41) were successfully detected all mutations within 70 minutes. CONCLUSIONS/SIGNIFICANCE: AMDS has superior sensitivity and accuracy over DS, and is much easier to execute than conventional labor intensive manual mutation analysis. AMDS has great potential for POCT equipment for mutation analysis. |
format | Online Article Text |
id | pubmed-3650034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36500342013-05-13 A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection Kitano, Shiro Myers, Jamie Nakamura, Junko Yamane, Akio Yamashita, Mami Nakayama, Masato Tsukahara, Yusuke Ushida, Hiroshi Liu, Wanqing Ratain, Mark J. Amano, Masahiko PLoS One Research Article BACKGROUND: KRAS, BRAF and PIK3CA mutations are frequently observed in colorectal cancer (CRC). In particular, KRAS mutations are strong predictors for clinical outcomes of EGFR-targeted treatments such as cetuximab and panitumumab in metastatic colorectal cancer (mCRC). For mutation analysis, the current methods are time-consuming, and not readily available to all oncologists and pathologists. We have developed a novel, simple, sensitive and fully automated molecular diagnostic system (AMDS) for point of care testing (POCT). Here we report the results of a comparison study between AMDS and direct sequencing (DS) in the detection of KRAS, BRAF and PI3KCA somatic mutations. METHODOLOGY/PRINCIPAL FINDING: DNA was extracted from a slice of either frozen (n = 89) or formalin-fixed and paraffin-embedded (FFPE) CRC tissue (n = 70), and then used for mutation analysis by AMDS and DS. All mutations (n = 41 among frozen and 27 among FFPE samples) detected by DS were also successfully (100%) detected by the AMDS. However, 8 frozen and 6 FFPE samples detected as wild-type in the DS analysis were shown as mutants in the AMDS analysis. By cloning-sequencing assays, these discordant samples were confirmed as true mutants. One sample had simultaneous “hot spot” mutations of KRAS and PIK3CA, and cloning assay comfirmed that E542K and E545K were not on the same allele. Genotyping call rates for DS were 100.0% (89/89) and 74.3% (52/70) in frozen and FFPE samples, respectively, for the first attempt; whereas that of AMDS was 100.0% for both sample sets. For automated DNA extraction and mutation detection by AMDS, frozen tissues (n = 41) were successfully detected all mutations within 70 minutes. CONCLUSIONS/SIGNIFICANCE: AMDS has superior sensitivity and accuracy over DS, and is much easier to execute than conventional labor intensive manual mutation analysis. AMDS has great potential for POCT equipment for mutation analysis. Public Library of Science 2013-05-09 /pmc/articles/PMC3650034/ /pubmed/23671647 http://dx.doi.org/10.1371/journal.pone.0062989 Text en © 2013 Kitano et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kitano, Shiro Myers, Jamie Nakamura, Junko Yamane, Akio Yamashita, Mami Nakayama, Masato Tsukahara, Yusuke Ushida, Hiroshi Liu, Wanqing Ratain, Mark J. Amano, Masahiko A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection |
title | A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection |
title_full | A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection |
title_fullStr | A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection |
title_full_unstemmed | A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection |
title_short | A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection |
title_sort | novel fully automated molecular diagnostic system (amds) for colorectal cancer mutation detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650034/ https://www.ncbi.nlm.nih.gov/pubmed/23671647 http://dx.doi.org/10.1371/journal.pone.0062989 |
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