Cargando…

A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients

SIMPLE SUMMARY: In this study, Sel-Cap(TM), a next-generation sequencing (NGS)-based genotyping platform, showed high sensitivity for detection of epidermal growth factor receptor (EGFR) gene mutations in plasma samples collected from 185 patients with non-small cell lung cancer (NSCLC). In the earl...

Descripción completa

Detalles Bibliográficos
Autores principales: Shin, Jung-Young, Kim, Jeong-Oh, Lee, Mi-Ran, Kim, Seo Ree, Beck, Kyongmin Sarah, Kang, Jin Hyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760633/
https://www.ncbi.nlm.nih.gov/pubmed/33266057
http://dx.doi.org/10.3390/cancers12123579
_version_ 1783627379202064384
author Shin, Jung-Young
Kim, Jeong-Oh
Lee, Mi-Ran
Kim, Seo Ree
Beck, Kyongmin Sarah
Kang, Jin Hyoung
author_facet Shin, Jung-Young
Kim, Jeong-Oh
Lee, Mi-Ran
Kim, Seo Ree
Beck, Kyongmin Sarah
Kang, Jin Hyoung
author_sort Shin, Jung-Young
collection PubMed
description SIMPLE SUMMARY: In this study, Sel-Cap(TM), a next-generation sequencing (NGS)-based genotyping platform, showed high sensitivity for detection of epidermal growth factor receptor (EGFR) gene mutations in plasma samples collected from 185 patients with non-small cell lung cancer (NSCLC). In the early-stage NSCLC, Sel-Cap liquid biopsy was able to detect more than half the EGFR mutations, which were detected in tumor tissue (sensitivity: 50% and 78% for Ex19del and L858R respectively, with tumor results as the references), while the conventional NGS could not detect any. Sel-Cap liquid biopsy was particularly sensitive for resistant mutation T790M (sensitivity: 88%). In addition, we conducted a retrospective study to monitor T790M using Sel-Cap in 34 patients who progressed on first-line tyrosine kinase inhibitors (EGFR-TKIs). The study suggested that the first appearance of T790M in plasma, ranging from at treatment baseline to over three years post-EGFR-TKI initiation, may be useful for prediction of disease progression (around 5 months in advance). ABSTRACT: Sel-Cap(TM), a digital enrichment next-generation sequencing (NGS)-based cancer panel, was assessed for detection of epidermal growth factor receptor (EGFR) gene mutations in plasma for non-small cell lung cancer (NSCLC), and for application in monitoring EGFR resistance mutation T790M in plasma following first-line EGFR-tyrosine kinase inhibitor (EGFR-TKI) treatment. Using Sel-Cap, we genotyped plasma samples collected from 185 patients for mutations Ex19del, L858R, and T790M, and compared results to those of PNAclamp(TM) tumor biopsy (reference method, a peptide nucleic acid-mediated polymerase chain reaction clamping) and two other NGS liquid biopsies. Over two-thirds of activating mutations (Ex19del and L858R), previously confirmed by PNAclamp, were detected by Sel-Cap, which is 4–5 times more sensitive than NGS liquid biopsy. Sel-Cap showed particularly high sensitivity for T790M (88%) and for early-stage plasma samples. The relationship between initial T790M detection in plasma and progression-free survival (PFS) following first-line EGFR-TKIs was evaluated in 34 patients. Patients with T790M detected at treatment initiation (±3 months) had significantly shorter PFS than patients where T790M was first detected >3 months post treatment initiation (median PFS: 5.9 vs. 26.5 months; p < 0.0001). However, time from T790M detection to disease progression was not significantly different between the two groups (median around 5 months). In conclusion, Sel-Cap is a highly sensitive platform for EGFR mutations in plasma, and the timing of the first appearance of T790M in plasma, determined via highly sensitive liquid biopsies, may be useful for prediction of disease progression of NSCLC, around 5 months in advance.
format Online
Article
Text
id pubmed-7760633
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77606332020-12-26 A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients Shin, Jung-Young Kim, Jeong-Oh Lee, Mi-Ran Kim, Seo Ree Beck, Kyongmin Sarah Kang, Jin Hyoung Cancers (Basel) Brief Report SIMPLE SUMMARY: In this study, Sel-Cap(TM), a next-generation sequencing (NGS)-based genotyping platform, showed high sensitivity for detection of epidermal growth factor receptor (EGFR) gene mutations in plasma samples collected from 185 patients with non-small cell lung cancer (NSCLC). In the early-stage NSCLC, Sel-Cap liquid biopsy was able to detect more than half the EGFR mutations, which were detected in tumor tissue (sensitivity: 50% and 78% for Ex19del and L858R respectively, with tumor results as the references), while the conventional NGS could not detect any. Sel-Cap liquid biopsy was particularly sensitive for resistant mutation T790M (sensitivity: 88%). In addition, we conducted a retrospective study to monitor T790M using Sel-Cap in 34 patients who progressed on first-line tyrosine kinase inhibitors (EGFR-TKIs). The study suggested that the first appearance of T790M in plasma, ranging from at treatment baseline to over three years post-EGFR-TKI initiation, may be useful for prediction of disease progression (around 5 months in advance). ABSTRACT: Sel-Cap(TM), a digital enrichment next-generation sequencing (NGS)-based cancer panel, was assessed for detection of epidermal growth factor receptor (EGFR) gene mutations in plasma for non-small cell lung cancer (NSCLC), and for application in monitoring EGFR resistance mutation T790M in plasma following first-line EGFR-tyrosine kinase inhibitor (EGFR-TKI) treatment. Using Sel-Cap, we genotyped plasma samples collected from 185 patients for mutations Ex19del, L858R, and T790M, and compared results to those of PNAclamp(TM) tumor biopsy (reference method, a peptide nucleic acid-mediated polymerase chain reaction clamping) and two other NGS liquid biopsies. Over two-thirds of activating mutations (Ex19del and L858R), previously confirmed by PNAclamp, were detected by Sel-Cap, which is 4–5 times more sensitive than NGS liquid biopsy. Sel-Cap showed particularly high sensitivity for T790M (88%) and for early-stage plasma samples. The relationship between initial T790M detection in plasma and progression-free survival (PFS) following first-line EGFR-TKIs was evaluated in 34 patients. Patients with T790M detected at treatment initiation (±3 months) had significantly shorter PFS than patients where T790M was first detected >3 months post treatment initiation (median PFS: 5.9 vs. 26.5 months; p < 0.0001). However, time from T790M detection to disease progression was not significantly different between the two groups (median around 5 months). In conclusion, Sel-Cap is a highly sensitive platform for EGFR mutations in plasma, and the timing of the first appearance of T790M in plasma, determined via highly sensitive liquid biopsies, may be useful for prediction of disease progression of NSCLC, around 5 months in advance. MDPI 2020-11-30 /pmc/articles/PMC7760633/ /pubmed/33266057 http://dx.doi.org/10.3390/cancers12123579 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 Brief Report
Shin, Jung-Young
Kim, Jeong-Oh
Lee, Mi-Ran
Kim, Seo Ree
Beck, Kyongmin Sarah
Kang, Jin Hyoung
A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients
title A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients
title_full A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients
title_fullStr A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients
title_full_unstemmed A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients
title_short A Highly Sensitive Next-Generation Sequencing-Based Genotyping Platform for EGFR Mutations in Plasma from Non-Small Cell Lung Cancer Patients
title_sort highly sensitive next-generation sequencing-based genotyping platform for egfr mutations in plasma from non-small cell lung cancer patients
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760633/
https://www.ncbi.nlm.nih.gov/pubmed/33266057
http://dx.doi.org/10.3390/cancers12123579
work_keys_str_mv AT shinjungyoung ahighlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT kimjeongoh ahighlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT leemiran ahighlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT kimseoree ahighlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT beckkyongminsarah ahighlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT kangjinhyoung ahighlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT shinjungyoung highlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT kimjeongoh highlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT leemiran highlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT kimseoree highlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT beckkyongminsarah highlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients
AT kangjinhyoung highlysensitivenextgenerationsequencingbasedgenotypingplatformforegfrmutationsinplasmafromnonsmallcelllungcancerpatients