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Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach

Droplet digital PCR (ddPCR) can be used to detect low frequency mutations in oncogene-driven lung cancer. The range of KRAS point mutations observed in NSCLC necessitates a multiplex approach to efficient mutation detection in circulating DNA. Here we report the design and optimisation of three disc...

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Autores principales: Pender, Alexandra, Garcia-Murillas, Isaac, Rana, Sareena, Cutts, Rosalind J., Kelly, Gavin, Fenwick, Kerry, Kozarewa, Iwanka, Gonzalez de Castro, David, Bhosle, Jaishree, O’Brien, Mary, Turner, Nicholas C., Popat, Sanjay, Downward, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586384/
https://www.ncbi.nlm.nih.gov/pubmed/26413866
http://dx.doi.org/10.1371/journal.pone.0139074
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author Pender, Alexandra
Garcia-Murillas, Isaac
Rana, Sareena
Cutts, Rosalind J.
Kelly, Gavin
Fenwick, Kerry
Kozarewa, Iwanka
Gonzalez de Castro, David
Bhosle, Jaishree
O’Brien, Mary
Turner, Nicholas C.
Popat, Sanjay
Downward, Julian
author_facet Pender, Alexandra
Garcia-Murillas, Isaac
Rana, Sareena
Cutts, Rosalind J.
Kelly, Gavin
Fenwick, Kerry
Kozarewa, Iwanka
Gonzalez de Castro, David
Bhosle, Jaishree
O’Brien, Mary
Turner, Nicholas C.
Popat, Sanjay
Downward, Julian
author_sort Pender, Alexandra
collection PubMed
description Droplet digital PCR (ddPCR) can be used to detect low frequency mutations in oncogene-driven lung cancer. The range of KRAS point mutations observed in NSCLC necessitates a multiplex approach to efficient mutation detection in circulating DNA. Here we report the design and optimisation of three discriminatory ddPCR multiplex assays investigating nine different KRAS mutations using PrimePCR™ ddPCR™ Mutation Assays and the Bio-Rad QX100 system. Together these mutations account for 95% of the nucleotide changes found in KRAS in human cancer. Multiplex reactions were optimised on genomic DNA extracted from KRAS mutant cell lines and tested on DNA extracted from fixed tumour tissue from a cohort of lung cancer patients without prior knowledge of the specific KRAS genotype. The multiplex ddPCR assays had a limit of detection of better than 1 mutant KRAS molecule in 2,000 wild-type KRAS molecules, which compared favourably with a limit of detection of 1 in 50 for next generation sequencing and 1 in 10 for Sanger sequencing. Multiplex ddPCR assays thus provide a highly efficient methodology to identify KRAS mutations in lung adenocarcinoma.
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spelling pubmed-45863842015-10-01 Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach Pender, Alexandra Garcia-Murillas, Isaac Rana, Sareena Cutts, Rosalind J. Kelly, Gavin Fenwick, Kerry Kozarewa, Iwanka Gonzalez de Castro, David Bhosle, Jaishree O’Brien, Mary Turner, Nicholas C. Popat, Sanjay Downward, Julian PLoS One Research Article Droplet digital PCR (ddPCR) can be used to detect low frequency mutations in oncogene-driven lung cancer. The range of KRAS point mutations observed in NSCLC necessitates a multiplex approach to efficient mutation detection in circulating DNA. Here we report the design and optimisation of three discriminatory ddPCR multiplex assays investigating nine different KRAS mutations using PrimePCR™ ddPCR™ Mutation Assays and the Bio-Rad QX100 system. Together these mutations account for 95% of the nucleotide changes found in KRAS in human cancer. Multiplex reactions were optimised on genomic DNA extracted from KRAS mutant cell lines and tested on DNA extracted from fixed tumour tissue from a cohort of lung cancer patients without prior knowledge of the specific KRAS genotype. The multiplex ddPCR assays had a limit of detection of better than 1 mutant KRAS molecule in 2,000 wild-type KRAS molecules, which compared favourably with a limit of detection of 1 in 50 for next generation sequencing and 1 in 10 for Sanger sequencing. Multiplex ddPCR assays thus provide a highly efficient methodology to identify KRAS mutations in lung adenocarcinoma. Public Library of Science 2015-09-28 /pmc/articles/PMC4586384/ /pubmed/26413866 http://dx.doi.org/10.1371/journal.pone.0139074 Text en © 2015 Pender 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
Pender, Alexandra
Garcia-Murillas, Isaac
Rana, Sareena
Cutts, Rosalind J.
Kelly, Gavin
Fenwick, Kerry
Kozarewa, Iwanka
Gonzalez de Castro, David
Bhosle, Jaishree
O’Brien, Mary
Turner, Nicholas C.
Popat, Sanjay
Downward, Julian
Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach
title Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach
title_full Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach
title_fullStr Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach
title_full_unstemmed Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach
title_short Efficient Genotyping of KRAS Mutant Non-Small Cell Lung Cancer Using a Multiplexed Droplet Digital PCR Approach
title_sort efficient genotyping of kras mutant non-small cell lung cancer using a multiplexed droplet digital pcr approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586384/
https://www.ncbi.nlm.nih.gov/pubmed/26413866
http://dx.doi.org/10.1371/journal.pone.0139074
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