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Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer

In non‐small cell lung cancer (NSCLC), immune checkpoint inhibitors (ICIs) significantly improve overall survival (OS). Tumor mutational burden (TMB) has emerged as a predictive biomarker for patients treated with ICIs. Here, we evaluated the predictive power of TMB measured by the Oncomine™ Tumor M...

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Autores principales: Alborelli, Ilaria, Leonards, Katharina, Rothschild, Sacha I, Leuenberger, Laura P, Savic Prince, Spasenija, Mertz, Kirsten D, Poechtrager, Severin, Buess, Martin, Zippelius, Alfred, Läubli, Heinz, Haegele, Jasmin, Tolnay, Markus, Bubendorf, Lukas, Quagliata, Luca, Jermann, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972587/
https://www.ncbi.nlm.nih.gov/pubmed/31471895
http://dx.doi.org/10.1002/path.5344
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author Alborelli, Ilaria
Leonards, Katharina
Rothschild, Sacha I
Leuenberger, Laura P
Savic Prince, Spasenija
Mertz, Kirsten D
Poechtrager, Severin
Buess, Martin
Zippelius, Alfred
Läubli, Heinz
Haegele, Jasmin
Tolnay, Markus
Bubendorf, Lukas
Quagliata, Luca
Jermann, Philip
author_facet Alborelli, Ilaria
Leonards, Katharina
Rothschild, Sacha I
Leuenberger, Laura P
Savic Prince, Spasenija
Mertz, Kirsten D
Poechtrager, Severin
Buess, Martin
Zippelius, Alfred
Läubli, Heinz
Haegele, Jasmin
Tolnay, Markus
Bubendorf, Lukas
Quagliata, Luca
Jermann, Philip
author_sort Alborelli, Ilaria
collection PubMed
description In non‐small cell lung cancer (NSCLC), immune checkpoint inhibitors (ICIs) significantly improve overall survival (OS). Tumor mutational burden (TMB) has emerged as a predictive biomarker for patients treated with ICIs. Here, we evaluated the predictive power of TMB measured by the Oncomine™ Tumor Mutational Load targeted sequencing assay in 76 NSCLC patients treated with ICIs. TMB was assessed retrospectively in 76 NSCLC patients receiving ICI therapy. Clinical data (RECIST 1.1) were collected and patients were classified as having either durable clinical benefit (DCB) or no durable benefit (NDB). Additionally, genetic alterations and PD‐L1 expression were assessed and compared with TMB and response rate. TMB was significantly higher in patients with DCB than in patients with NDB (median TMB = 8.5 versus 6.0 mutations/Mb, Mann–Whitney p = 0.0244). 64% of patients with high TMB (cut‐off = third tertile, TMB ≥ 9) were responders (DCB) compared to 33% and 29% of patients with intermediate and low TMB, respectively (cut‐off = second and first tertile, TMB = 5–9 and TMB ≤ 4, respectively). TMB‐high patients showed significantly longer progression‐free survival (PFS) and OS (log‐rank test p = 0.0014 for PFS and 0.0197 for OS). While identifying different subgroups of patients, combining PD‐L1 expression and TMB increased the predictive power (from AUC 0.63 to AUC 0.65). Our results show that the TML panel is an effective tool to stratify patients for ICI treatment. A combination of biomarkers might maximize the predictive precision for patient stratification. Our study supports TMB evaluation through targeted NGS in NSCLC patient samples as a tool to predict response to ICI therapy. We offer recommendations for a reliable and cost‐effective assessment of TMB in a routine diagnostic setting. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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spelling pubmed-69725872020-01-27 Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer Alborelli, Ilaria Leonards, Katharina Rothschild, Sacha I Leuenberger, Laura P Savic Prince, Spasenija Mertz, Kirsten D Poechtrager, Severin Buess, Martin Zippelius, Alfred Läubli, Heinz Haegele, Jasmin Tolnay, Markus Bubendorf, Lukas Quagliata, Luca Jermann, Philip J Pathol Original Papers In non‐small cell lung cancer (NSCLC), immune checkpoint inhibitors (ICIs) significantly improve overall survival (OS). Tumor mutational burden (TMB) has emerged as a predictive biomarker for patients treated with ICIs. Here, we evaluated the predictive power of TMB measured by the Oncomine™ Tumor Mutational Load targeted sequencing assay in 76 NSCLC patients treated with ICIs. TMB was assessed retrospectively in 76 NSCLC patients receiving ICI therapy. Clinical data (RECIST 1.1) were collected and patients were classified as having either durable clinical benefit (DCB) or no durable benefit (NDB). Additionally, genetic alterations and PD‐L1 expression were assessed and compared with TMB and response rate. TMB was significantly higher in patients with DCB than in patients with NDB (median TMB = 8.5 versus 6.0 mutations/Mb, Mann–Whitney p = 0.0244). 64% of patients with high TMB (cut‐off = third tertile, TMB ≥ 9) were responders (DCB) compared to 33% and 29% of patients with intermediate and low TMB, respectively (cut‐off = second and first tertile, TMB = 5–9 and TMB ≤ 4, respectively). TMB‐high patients showed significantly longer progression‐free survival (PFS) and OS (log‐rank test p = 0.0014 for PFS and 0.0197 for OS). While identifying different subgroups of patients, combining PD‐L1 expression and TMB increased the predictive power (from AUC 0.63 to AUC 0.65). Our results show that the TML panel is an effective tool to stratify patients for ICI treatment. A combination of biomarkers might maximize the predictive precision for patient stratification. Our study supports TMB evaluation through targeted NGS in NSCLC patient samples as a tool to predict response to ICI therapy. We offer recommendations for a reliable and cost‐effective assessment of TMB in a routine diagnostic setting. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. John Wiley & Sons, Ltd 2019-10-24 2020-01 /pmc/articles/PMC6972587/ /pubmed/31471895 http://dx.doi.org/10.1002/path.5344 Text en © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Alborelli, Ilaria
Leonards, Katharina
Rothschild, Sacha I
Leuenberger, Laura P
Savic Prince, Spasenija
Mertz, Kirsten D
Poechtrager, Severin
Buess, Martin
Zippelius, Alfred
Läubli, Heinz
Haegele, Jasmin
Tolnay, Markus
Bubendorf, Lukas
Quagliata, Luca
Jermann, Philip
Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
title Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
title_full Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
title_fullStr Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
title_full_unstemmed Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
title_short Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
title_sort tumor mutational burden assessed by targeted ngs predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972587/
https://www.ncbi.nlm.nih.gov/pubmed/31471895
http://dx.doi.org/10.1002/path.5344
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