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Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay

Circulating tumor DNA (ctDNA) has shown great promise as a minimally invasive liquid biopsy for personalized cancer diagnostics especially among metastatic patients. Here, we used a novel sensitive assay to detect clinically relevant mutations in ctDNA in blood plasma from metastatic non-small cell...

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Autores principales: Belloum, Yassine, Janning, Melanie, Mohme, Malte, Simon, Ronald, Kropidlowski, Jolanthe, Sartori, Alexander, Irwin, Darryl, Westphal, Manfred, Lamszus, Katrin, Loges, Sonja, Riethdorf, Sabine, Pantel, Klaus, Wikman, Harriet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690267/
https://www.ncbi.nlm.nih.gov/pubmed/33105541
http://dx.doi.org/10.3390/cells9112337
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author Belloum, Yassine
Janning, Melanie
Mohme, Malte
Simon, Ronald
Kropidlowski, Jolanthe
Sartori, Alexander
Irwin, Darryl
Westphal, Manfred
Lamszus, Katrin
Loges, Sonja
Riethdorf, Sabine
Pantel, Klaus
Wikman, Harriet
author_facet Belloum, Yassine
Janning, Melanie
Mohme, Malte
Simon, Ronald
Kropidlowski, Jolanthe
Sartori, Alexander
Irwin, Darryl
Westphal, Manfred
Lamszus, Katrin
Loges, Sonja
Riethdorf, Sabine
Pantel, Klaus
Wikman, Harriet
author_sort Belloum, Yassine
collection PubMed
description Circulating tumor DNA (ctDNA) has shown great promise as a minimally invasive liquid biopsy for personalized cancer diagnostics especially among metastatic patients. Here, we used a novel sensitive assay to detect clinically relevant mutations in ctDNA in blood plasma from metastatic non-small cell lung cancer (NSCLC) patients, including patients with a limited oligo–brain metastatic disease. We analyzed 66 plasma samples from 56 metastatic NSCLC patients for 74 hotspot mutations in five genes commonly mutated in NSCLC using a novel MassARRAY-based lung cancer panel with a turnaround time of only 3 days. Mutations in plasma DNA could be detected in 28 out of 56 patients (50.0%), with a variant allele frequency (VAF) ranging between 0.1% and 5.0%. Mutations were detected in 50.0% of patients with oligo–brain metastatic disease, although the median VAF was lower (0.4%) compared to multi-brain metastatic patients (0.9%) and patients with extra-cranial metastatic progression (1.2%). We observed an overall concordance of 86.4% (n = 38/44) for EGFR status between plasma and tissue. The MassARRAY technology can detect clinically relevant mutations in plasma DNA from metastatic NSCLC patients including patients with limited, oligo–brain metastatic disease.
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spelling pubmed-76902672020-11-27 Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay Belloum, Yassine Janning, Melanie Mohme, Malte Simon, Ronald Kropidlowski, Jolanthe Sartori, Alexander Irwin, Darryl Westphal, Manfred Lamszus, Katrin Loges, Sonja Riethdorf, Sabine Pantel, Klaus Wikman, Harriet Cells Article Circulating tumor DNA (ctDNA) has shown great promise as a minimally invasive liquid biopsy for personalized cancer diagnostics especially among metastatic patients. Here, we used a novel sensitive assay to detect clinically relevant mutations in ctDNA in blood plasma from metastatic non-small cell lung cancer (NSCLC) patients, including patients with a limited oligo–brain metastatic disease. We analyzed 66 plasma samples from 56 metastatic NSCLC patients for 74 hotspot mutations in five genes commonly mutated in NSCLC using a novel MassARRAY-based lung cancer panel with a turnaround time of only 3 days. Mutations in plasma DNA could be detected in 28 out of 56 patients (50.0%), with a variant allele frequency (VAF) ranging between 0.1% and 5.0%. Mutations were detected in 50.0% of patients with oligo–brain metastatic disease, although the median VAF was lower (0.4%) compared to multi-brain metastatic patients (0.9%) and patients with extra-cranial metastatic progression (1.2%). We observed an overall concordance of 86.4% (n = 38/44) for EGFR status between plasma and tissue. The MassARRAY technology can detect clinically relevant mutations in plasma DNA from metastatic NSCLC patients including patients with limited, oligo–brain metastatic disease. MDPI 2020-10-22 /pmc/articles/PMC7690267/ /pubmed/33105541 http://dx.doi.org/10.3390/cells9112337 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Belloum, Yassine
Janning, Melanie
Mohme, Malte
Simon, Ronald
Kropidlowski, Jolanthe
Sartori, Alexander
Irwin, Darryl
Westphal, Manfred
Lamszus, Katrin
Loges, Sonja
Riethdorf, Sabine
Pantel, Klaus
Wikman, Harriet
Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay
title Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay
title_full Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay
title_fullStr Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay
title_full_unstemmed Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay
title_short Discovery of Targetable Genetic Alterations in NSCLC Patients with Different Metastatic Patterns Using a MassARRAY-Based Circulating Tumor DNA Assay
title_sort discovery of targetable genetic alterations in nsclc patients with different metastatic patterns using a massarray-based circulating tumor dna assay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690267/
https://www.ncbi.nlm.nih.gov/pubmed/33105541
http://dx.doi.org/10.3390/cells9112337
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