Cargando…

Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer

Precision medicine requires accurate multi-gene clinical diagnostics. We describe the implementation of an Illumina TruSight Tumor (TST) clinical NGS diagnostic framework and parallel validation of a NanoString RNA-based ALK, RET, and ROS1 gene fusion assay for combined analysis of treatment predict...

Descripción completa

Detalles Bibliográficos
Autores principales: Lindquist, Kajsa Ericson, Karlsson, Anna, Levéen, Per, Brunnström, Hans, Reuterswärd, Christel, Holm, Karolina, Jönsson, Mats, Annersten, Karin, Rosengren, Frida, Jirström, Karin, Kosieradzki, Jaroslaw, Ek, Lars, Borg, Åke, Planck, Maria, Jönsson, Göran, Staaf, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471012/
https://www.ncbi.nlm.nih.gov/pubmed/28415793
http://dx.doi.org/10.18632/oncotarget.16276
_version_ 1783243868610756608
author Lindquist, Kajsa Ericson
Karlsson, Anna
Levéen, Per
Brunnström, Hans
Reuterswärd, Christel
Holm, Karolina
Jönsson, Mats
Annersten, Karin
Rosengren, Frida
Jirström, Karin
Kosieradzki, Jaroslaw
Ek, Lars
Borg, Åke
Planck, Maria
Jönsson, Göran
Staaf, Johan
author_facet Lindquist, Kajsa Ericson
Karlsson, Anna
Levéen, Per
Brunnström, Hans
Reuterswärd, Christel
Holm, Karolina
Jönsson, Mats
Annersten, Karin
Rosengren, Frida
Jirström, Karin
Kosieradzki, Jaroslaw
Ek, Lars
Borg, Åke
Planck, Maria
Jönsson, Göran
Staaf, Johan
author_sort Lindquist, Kajsa Ericson
collection PubMed
description Precision medicine requires accurate multi-gene clinical diagnostics. We describe the implementation of an Illumina TruSight Tumor (TST) clinical NGS diagnostic framework and parallel validation of a NanoString RNA-based ALK, RET, and ROS1 gene fusion assay for combined analysis of treatment predictive alterations in non-small cell lung cancer (NSCLC) in a regional healthcare region of Sweden (Scandinavia). The TST panel was clinically validated in 81 tumors (99% hotspot mutation concordance), after which 533 consecutive NSCLCs were collected during one-year of routine clinical analysis in the healthcare region (˜90% advanced stage patients). The NanoString assay was evaluated in 169 of 533 cases. In the 533-sample cohort 79% had 1-2 variants, 12% >2 variants and 9% no detected variants. Ten gene fusions (five ALK, three RET, two ROS1) were detected in 135 successfully analyzed cases (80% analysis success rate). No ALK or ROS1 FISH fusion positive case was missed by the NanoString assay. Stratification of the 533-sample cohort based on actionable alterations in 11 oncogenes revealed that 66% of adenocarcinomas, 13% of squamous carcinoma (SqCC) and 56% of NSCLC not otherwise specified harbored ≥1 alteration. In adenocarcinoma, 10.6% of patients (50.3% if including KRAS) could potentially be eligible for emerging therapeutics, in addition to the 15.3% of patients eligible for standard EGFR or ALK inhibitors. For squamous carcinoma corresponding proportions were 4.4% (11.1% with KRAS) vs 2.2%. In conclusion, multiplexed NGS and gene fusion analyses are feasible in NSCLC for clinical diagnostics, identifying notable proportions of patients potentially eligible for emerging molecular therapeutics.
format Online
Article
Text
id pubmed-5471012
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-54710122017-06-27 Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer Lindquist, Kajsa Ericson Karlsson, Anna Levéen, Per Brunnström, Hans Reuterswärd, Christel Holm, Karolina Jönsson, Mats Annersten, Karin Rosengren, Frida Jirström, Karin Kosieradzki, Jaroslaw Ek, Lars Borg, Åke Planck, Maria Jönsson, Göran Staaf, Johan Oncotarget Research Paper Precision medicine requires accurate multi-gene clinical diagnostics. We describe the implementation of an Illumina TruSight Tumor (TST) clinical NGS diagnostic framework and parallel validation of a NanoString RNA-based ALK, RET, and ROS1 gene fusion assay for combined analysis of treatment predictive alterations in non-small cell lung cancer (NSCLC) in a regional healthcare region of Sweden (Scandinavia). The TST panel was clinically validated in 81 tumors (99% hotspot mutation concordance), after which 533 consecutive NSCLCs were collected during one-year of routine clinical analysis in the healthcare region (˜90% advanced stage patients). The NanoString assay was evaluated in 169 of 533 cases. In the 533-sample cohort 79% had 1-2 variants, 12% >2 variants and 9% no detected variants. Ten gene fusions (five ALK, three RET, two ROS1) were detected in 135 successfully analyzed cases (80% analysis success rate). No ALK or ROS1 FISH fusion positive case was missed by the NanoString assay. Stratification of the 533-sample cohort based on actionable alterations in 11 oncogenes revealed that 66% of adenocarcinomas, 13% of squamous carcinoma (SqCC) and 56% of NSCLC not otherwise specified harbored ≥1 alteration. In adenocarcinoma, 10.6% of patients (50.3% if including KRAS) could potentially be eligible for emerging therapeutics, in addition to the 15.3% of patients eligible for standard EGFR or ALK inhibitors. For squamous carcinoma corresponding proportions were 4.4% (11.1% with KRAS) vs 2.2%. In conclusion, multiplexed NGS and gene fusion analyses are feasible in NSCLC for clinical diagnostics, identifying notable proportions of patients potentially eligible for emerging molecular therapeutics. Impact Journals LLC 2017-03-16 /pmc/articles/PMC5471012/ /pubmed/28415793 http://dx.doi.org/10.18632/oncotarget.16276 Text en Copyright: © 2017 Lindquist et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Lindquist, Kajsa Ericson
Karlsson, Anna
Levéen, Per
Brunnström, Hans
Reuterswärd, Christel
Holm, Karolina
Jönsson, Mats
Annersten, Karin
Rosengren, Frida
Jirström, Karin
Kosieradzki, Jaroslaw
Ek, Lars
Borg, Åke
Planck, Maria
Jönsson, Göran
Staaf, Johan
Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
title Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
title_full Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
title_fullStr Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
title_full_unstemmed Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
title_short Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
title_sort clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471012/
https://www.ncbi.nlm.nih.gov/pubmed/28415793
http://dx.doi.org/10.18632/oncotarget.16276
work_keys_str_mv AT lindquistkajsaericson clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT karlssonanna clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT leveenper clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT brunnstromhans clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT reuterswardchristel clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT holmkarolina clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT jonssonmats clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT annerstenkarin clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT rosengrenfrida clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT jirstromkarin clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT kosieradzkijaroslaw clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT eklars clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT borgake clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT planckmaria clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT jonssongoran clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer
AT staafjohan clinicalframeworkfornextgenerationsequencingbasedanalysisoftreatmentpredictivemutationsandmultiplexedgenefusiondetectioninnonsmallcelllungcancer