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Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour

BACKGROUND: Analysis of tumour samples for mutations is becoming increasingly important in driving personalised therapy in cancer. As more targeted therapies are developed, options to survey mutations in multiple genes in a single tumour sample will become ever more attractive and are expected to be...

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Autores principales: Sherwood, James L., Müller, Susanne, Orr, Maria C. M., Ratcliffe, Marianne J., Walker, Jill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067351/
https://www.ncbi.nlm.nih.gov/pubmed/24956168
http://dx.doi.org/10.1371/journal.pone.0100566
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author Sherwood, James L.
Müller, Susanne
Orr, Maria C. M.
Ratcliffe, Marianne J.
Walker, Jill
author_facet Sherwood, James L.
Müller, Susanne
Orr, Maria C. M.
Ratcliffe, Marianne J.
Walker, Jill
author_sort Sherwood, James L.
collection PubMed
description BACKGROUND: Analysis of tumour samples for mutations is becoming increasingly important in driving personalised therapy in cancer. As more targeted therapies are developed, options to survey mutations in multiple genes in a single tumour sample will become ever more attractive and are expected to become the mainstay of molecular diagnosis in non-small cell lung cancer (NSCLC) in the future. MATERIALS AND METHODS: 238 non-small cell lung cancer (NSCLC) tumour samples were analysed using a custom panel of 82 mutation assays across 14 oncogenes including KRAS and EGFR using Sequenom iPlex Matrix Assisted Laser Desorption/Ionisation Time of Flight Mass Spectrometry (MALDI-TOF). We compared the data generated for KRAS mutations to those detected by Amplification Refractory Mutation System (ARMS) based DxS TheraScreen K-RAS Mutation Kit. RESULTS: The ARMS detected mutations in 46/238 tumour samples. For samples with mutations detected by both approaches, 99.1% overall agreement was observed. The MALDI-TOF method detected an additional 6 samples as KRAS mutation positive and also provided data on concomitant mutations including PIK3CA and TP53. CONCLUSIONS: The Sequenom MALDI-TOF method provides a sensitive panel-based approach which makes efficient use of patient diagnostic samples. This technology could provide an opportunity to deliver comprehensive screening of relevant biomarkers to the clinic earlier in disease management, without the need for repeat biopsy and allow for additional downstream analysis in NSCLC where available tissue may have been exhausted.
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spelling pubmed-40673512014-06-25 Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour Sherwood, James L. Müller, Susanne Orr, Maria C. M. Ratcliffe, Marianne J. Walker, Jill PLoS One Research Article BACKGROUND: Analysis of tumour samples for mutations is becoming increasingly important in driving personalised therapy in cancer. As more targeted therapies are developed, options to survey mutations in multiple genes in a single tumour sample will become ever more attractive and are expected to become the mainstay of molecular diagnosis in non-small cell lung cancer (NSCLC) in the future. MATERIALS AND METHODS: 238 non-small cell lung cancer (NSCLC) tumour samples were analysed using a custom panel of 82 mutation assays across 14 oncogenes including KRAS and EGFR using Sequenom iPlex Matrix Assisted Laser Desorption/Ionisation Time of Flight Mass Spectrometry (MALDI-TOF). We compared the data generated for KRAS mutations to those detected by Amplification Refractory Mutation System (ARMS) based DxS TheraScreen K-RAS Mutation Kit. RESULTS: The ARMS detected mutations in 46/238 tumour samples. For samples with mutations detected by both approaches, 99.1% overall agreement was observed. The MALDI-TOF method detected an additional 6 samples as KRAS mutation positive and also provided data on concomitant mutations including PIK3CA and TP53. CONCLUSIONS: The Sequenom MALDI-TOF method provides a sensitive panel-based approach which makes efficient use of patient diagnostic samples. This technology could provide an opportunity to deliver comprehensive screening of relevant biomarkers to the clinic earlier in disease management, without the need for repeat biopsy and allow for additional downstream analysis in NSCLC where available tissue may have been exhausted. Public Library of Science 2014-06-23 /pmc/articles/PMC4067351/ /pubmed/24956168 http://dx.doi.org/10.1371/journal.pone.0100566 Text en © 2014 Sherwood 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
Sherwood, James L.
Müller, Susanne
Orr, Maria C. M.
Ratcliffe, Marianne J.
Walker, Jill
Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour
title Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour
title_full Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour
title_fullStr Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour
title_full_unstemmed Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour
title_short Panel Based MALDI-TOF Tumour Profiling Is a Sensitive Method for Detecting Mutations in Clinical Non Small Cell Lung Cancer Tumour
title_sort panel based maldi-tof tumour profiling is a sensitive method for detecting mutations in clinical non small cell lung cancer tumour
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067351/
https://www.ncbi.nlm.nih.gov/pubmed/24956168
http://dx.doi.org/10.1371/journal.pone.0100566
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