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Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients
Lung cancer is the leading cause of cancer-related mortality worldwide. Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) therapies, based on the evaluation of EGFR mutations, have shown dramatic clinical benefits. EGFR mutation assays are mainly performed on tumor biopsies, wh...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578230/ https://www.ncbi.nlm.nih.gov/pubmed/33117705 http://dx.doi.org/10.3389/fonc.2020.572895 |
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author | Liu, Haiyan E. Vuppalapaty, Meghah Wilkerson, Charles Renier, Corinne Chiu, Michael Lemaire, Clementine Che, James Matsumoto, Melissa Carroll, James Crouse, Steve Hanft, Violet R. Jeffrey, Stefanie S. Di Carlo, Dino Garon, Edward B. Goldman, Jonathan Sollier, Elodie |
author_facet | Liu, Haiyan E. Vuppalapaty, Meghah Wilkerson, Charles Renier, Corinne Chiu, Michael Lemaire, Clementine Che, James Matsumoto, Melissa Carroll, James Crouse, Steve Hanft, Violet R. Jeffrey, Stefanie S. Di Carlo, Dino Garon, Edward B. Goldman, Jonathan Sollier, Elodie |
author_sort | Liu, Haiyan E. |
collection | PubMed |
description | Lung cancer is the leading cause of cancer-related mortality worldwide. Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) therapies, based on the evaluation of EGFR mutations, have shown dramatic clinical benefits. EGFR mutation assays are mainly performed on tumor biopsies, which carry risks, are not always successful and give results relevant to the timepoint of the assay. To detect secondary EGFR mutations, which cause resistance to 1st and 2nd generation TKIs and lead to the administration of a 3rd generation drug, effective and non-invasive monitoring of EGFR mutation status is needed. Liquid biopsy analytes, such as circulating tumor cells (CTCs) and circulating tumor DNA (cfDNA), allow such monitoring over the course of the therapy. The aim of this study was to develop and optimize a workflow for the evaluation of cfDNA and CTCs in NSCLC patients all from one blood sample. Using Vortex technology and EntroGen ctEGFR assay, EGFR mutations were identified at 0.5 ng of DNA (∼83 cells), with a sensitivity ranging from 0.1 to 2.0% for a total DNA varying from 25 ng (∼4 CTCs among 4000 white blood cells, WBCs) to 1 ng (∼4 CTCs among 200 WBCs). The processing of plasma-depleted-blood provided comparable capture recovery as whole blood, confirming the possibility of a multimodality liquid biopsy analysis (cfDNA and CTC DNA) from a single tube of blood. Different anticoagulants were evaluated and compared in terms of respective performance. Blood samples from 24 NSCLC patients and 6 age-matched healthy donors were analyzed with this combined workflow to minimize blood volume needed and sample-to-sample bias, and the EGFR mutation profile detected from CTCs and cfDNA was compared to matched tumor tissues. Despite the limited size of the patient cohort, results from this non-invasive EGFR mutation analysis are encouraging and this combined workflow represents a valuable means for informing therapy selection and for monitoring treatment of patients with NSCLC. |
format | Online Article Text |
id | pubmed-7578230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75782302020-10-27 Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients Liu, Haiyan E. Vuppalapaty, Meghah Wilkerson, Charles Renier, Corinne Chiu, Michael Lemaire, Clementine Che, James Matsumoto, Melissa Carroll, James Crouse, Steve Hanft, Violet R. Jeffrey, Stefanie S. Di Carlo, Dino Garon, Edward B. Goldman, Jonathan Sollier, Elodie Front Oncol Oncology Lung cancer is the leading cause of cancer-related mortality worldwide. Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) therapies, based on the evaluation of EGFR mutations, have shown dramatic clinical benefits. EGFR mutation assays are mainly performed on tumor biopsies, which carry risks, are not always successful and give results relevant to the timepoint of the assay. To detect secondary EGFR mutations, which cause resistance to 1st and 2nd generation TKIs and lead to the administration of a 3rd generation drug, effective and non-invasive monitoring of EGFR mutation status is needed. Liquid biopsy analytes, such as circulating tumor cells (CTCs) and circulating tumor DNA (cfDNA), allow such monitoring over the course of the therapy. The aim of this study was to develop and optimize a workflow for the evaluation of cfDNA and CTCs in NSCLC patients all from one blood sample. Using Vortex technology and EntroGen ctEGFR assay, EGFR mutations were identified at 0.5 ng of DNA (∼83 cells), with a sensitivity ranging from 0.1 to 2.0% for a total DNA varying from 25 ng (∼4 CTCs among 4000 white blood cells, WBCs) to 1 ng (∼4 CTCs among 200 WBCs). The processing of plasma-depleted-blood provided comparable capture recovery as whole blood, confirming the possibility of a multimodality liquid biopsy analysis (cfDNA and CTC DNA) from a single tube of blood. Different anticoagulants were evaluated and compared in terms of respective performance. Blood samples from 24 NSCLC patients and 6 age-matched healthy donors were analyzed with this combined workflow to minimize blood volume needed and sample-to-sample bias, and the EGFR mutation profile detected from CTCs and cfDNA was compared to matched tumor tissues. Despite the limited size of the patient cohort, results from this non-invasive EGFR mutation analysis are encouraging and this combined workflow represents a valuable means for informing therapy selection and for monitoring treatment of patients with NSCLC. Frontiers Media S.A. 2020-10-08 /pmc/articles/PMC7578230/ /pubmed/33117705 http://dx.doi.org/10.3389/fonc.2020.572895 Text en Copyright © 2020 Liu, Vuppalapaty, Wilkerson, Renier, Chiu, Lemaire, Che, Matsumoto, Carroll, Crouse, Hanft, Jeffrey, Di Carlo, Garon, Goldman and Sollier. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Liu, Haiyan E. Vuppalapaty, Meghah Wilkerson, Charles Renier, Corinne Chiu, Michael Lemaire, Clementine Che, James Matsumoto, Melissa Carroll, James Crouse, Steve Hanft, Violet R. Jeffrey, Stefanie S. Di Carlo, Dino Garon, Edward B. Goldman, Jonathan Sollier, Elodie Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients |
title | Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients |
title_full | Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients |
title_fullStr | Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients |
title_full_unstemmed | Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients |
title_short | Detection of EGFR Mutations in cfDNA and CTCs, and Comparison to Tumor Tissue in Non-Small-Cell-Lung-Cancer (NSCLC) Patients |
title_sort | detection of egfr mutations in cfdna and ctcs, and comparison to tumor tissue in non-small-cell-lung-cancer (nsclc) patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578230/ https://www.ncbi.nlm.nih.gov/pubmed/33117705 http://dx.doi.org/10.3389/fonc.2020.572895 |
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