Comparison of Three Sequencing Panels Used for the Assessment of Tumor Mutational Burden in NSCLC Reveals Low Comparability.
FoundationOne
NSCLC
Oncomine TML
QiaSeq
Tumor mutational burden
Journal
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
03
10
2019
revised:
14
05
2020
accepted:
18
05
2020
pubmed:
26
5
2020
medline:
2
2
2021
entrez:
26
5
2020
Statut:
ppublish
Résumé
Tumor mutational burden (TMB) has been proposed as a novel predictive biomarker for the stratification of patients with NSCLC undergoing immune checkpoint inhibitor (ICI) treatment. The assessment of TMB has recently been established using large targeted sequencing panels, and numerous studies are ongoing to harmonize TMB assessment. "Correlation" or the coefficient of determination has generally been used to evaluate the association between different panels. We hypothesized that these metrics might overestimate the comparability, especially for lower TMB values. A total of 30 samples from patients with NSCLC undergoing ICI treatment were consecutively sequenced using the following three large, targeted sequencing panels: FoundationOne, Oncomine TML, and QiaSeq TMB. The TMB values were compared in the whole patient population and in a subset of patients in which the TMB assessed by FoundationOne was between 5 and 25 mutations/Mb. Prediction of durable clinical benefit (>6 mo with no progression) was assessed using receiver operator characteristics, and optimal cutoff values were calculated using the Youden J statistic. Correlation between the three targeted sequencing panels was strong in the whole patient population (R Assessment of TMB using the three targeted sequencing panels was possible and predictive of response to ICI treatment, but correlation was an inappropriate measurement to assess the association between the respective panels.
Identifiants
pubmed: 32450274
pii: S1556-0864(20)30417-2
doi: 10.1016/j.jtho.2020.05.013
pii:
doi:
Substances chimiques
Biomarkers, Tumor
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1535-1540Informations de copyright
Copyright © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.