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KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test
BACKGROUND: Molecular techniques are relevant to modern cytopathology, but their implementation is difficult without molecular expertise and infrastructure. The assessment of KRAS mutational status on cytological preparations may be useful either to refine uncertain diagnoses on pancreatic aspirates...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348988/ https://www.ncbi.nlm.nih.gov/pubmed/28331530 http://dx.doi.org/10.4103/1742-6413.200936 |
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author | De Luca, Caterina Vigliar, Elena d’Anna, Melania Pisapia, Pasquale Bellevicine, Claudio Malapelle, Umberto Troncone, Giancarlo |
author_facet | De Luca, Caterina Vigliar, Elena d’Anna, Melania Pisapia, Pasquale Bellevicine, Claudio Malapelle, Umberto Troncone, Giancarlo |
author_sort | De Luca, Caterina |
collection | PubMed |
description | BACKGROUND: Molecular techniques are relevant to modern cytopathology, but their implementation is difficult without molecular expertise and infrastructure. The assessment of KRAS mutational status on cytological preparations may be useful either to refine uncertain diagnoses on pancreatic aspirates or to yield predictive information to plan targeted treatment of metastatic colorectal cancer (mCRC). The novel test Idylla™ enables fully automated KRAS genotyping in approximately 2 h, even in less experienced hands. MATERIALS AND METHODS: This study aims to validate this methodology to detect KRAS mutations on archival cytological preparations of pancreatic cancer (n = 9) and mCRC (n = 9) by comparing the Idylla™ performance to that of standard real-time polymerase chain reaction. RESULTS: The same 11 mutations (n = 4: p.G12D; n = 2: p.G12V; n = 2: p.A59E/G/T; n = 1: p.G12R; n = 1: p.G13D; n = 1: p.Q61H) were detected by both techniques. CONCLUSION: Even in less experienced laboratories, a cytopathologist may easily integrate morphological diagnostic report with accurate KRAS mutation detection, which is relevant for diagnostic and treatment decisions. |
format | Online Article Text |
id | pubmed-5348988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-53489882017-03-22 KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test De Luca, Caterina Vigliar, Elena d’Anna, Melania Pisapia, Pasquale Bellevicine, Claudio Malapelle, Umberto Troncone, Giancarlo Cytojournal Research Article BACKGROUND: Molecular techniques are relevant to modern cytopathology, but their implementation is difficult without molecular expertise and infrastructure. The assessment of KRAS mutational status on cytological preparations may be useful either to refine uncertain diagnoses on pancreatic aspirates or to yield predictive information to plan targeted treatment of metastatic colorectal cancer (mCRC). The novel test Idylla™ enables fully automated KRAS genotyping in approximately 2 h, even in less experienced hands. MATERIALS AND METHODS: This study aims to validate this methodology to detect KRAS mutations on archival cytological preparations of pancreatic cancer (n = 9) and mCRC (n = 9) by comparing the Idylla™ performance to that of standard real-time polymerase chain reaction. RESULTS: The same 11 mutations (n = 4: p.G12D; n = 2: p.G12V; n = 2: p.A59E/G/T; n = 1: p.G12R; n = 1: p.G13D; n = 1: p.Q61H) were detected by both techniques. CONCLUSION: Even in less experienced laboratories, a cytopathologist may easily integrate morphological diagnostic report with accurate KRAS mutation detection, which is relevant for diagnostic and treatment decisions. Medknow Publications & Media Pvt Ltd 2017-02-24 /pmc/articles/PMC5348988/ /pubmed/28331530 http://dx.doi.org/10.4103/1742-6413.200936 Text en Copyright: © 2017 Luca, et al.; Licensee Cytopathology Foundation Inc. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Research Article De Luca, Caterina Vigliar, Elena d’Anna, Melania Pisapia, Pasquale Bellevicine, Claudio Malapelle, Umberto Troncone, Giancarlo KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test |
title | KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test |
title_full | KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test |
title_fullStr | KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test |
title_full_unstemmed | KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test |
title_short | KRAS detection on archival cytological smears by the novel fully automated polymerase chain reaction-based Idylla mutation test |
title_sort | kras detection on archival cytological smears by the novel fully automated polymerase chain reaction-based idylla mutation test |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348988/ https://www.ncbi.nlm.nih.gov/pubmed/28331530 http://dx.doi.org/10.4103/1742-6413.200936 |
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