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Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels

BACKGROUND: Tumor mutational burden (TMB) is a recently proposed predictive biomarker for immunotherapy in solid tumors, including non-small cell lung cancer (NSCLC). Available assays for TMB determination differ in horizontal coverage, gene content and algorithms, leading to discrepancies in result...

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Autores principales: Ramos-Paradas, Javier, Hernández-Prieto, Susana, Lora, David, Sanchez, Elena, Rosado, Aranzazu, Caniego-Casas, Tamara, Carrizo, Nuria, Enguita, Ana Belén, Muñoz-Jimenez, María Teresa, Rodriguez, Borja, Perez-Gonzalez, Urbicio, Gómez-Sánchez, David, Ferrer, Irene, Ponce Aix, Santiago, Nuñez Buiza, Ángel, Garrido, Pilar, Palacios, José, Lopez-Rios, Fernando, Garrido-Martin, Eva M, Paz-Ares, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108670/
https://www.ncbi.nlm.nih.gov/pubmed/33963008
http://dx.doi.org/10.1136/jitc-2020-001904
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author Ramos-Paradas, Javier
Hernández-Prieto, Susana
Lora, David
Sanchez, Elena
Rosado, Aranzazu
Caniego-Casas, Tamara
Carrizo, Nuria
Enguita, Ana Belén
Muñoz-Jimenez, María Teresa
Rodriguez, Borja
Perez-Gonzalez, Urbicio
Gómez-Sánchez, David
Ferrer, Irene
Ponce Aix, Santiago
Nuñez Buiza, Ángel
Garrido, Pilar
Palacios, José
Lopez-Rios, Fernando
Garrido-Martin, Eva M
Paz-Ares, Luis
author_facet Ramos-Paradas, Javier
Hernández-Prieto, Susana
Lora, David
Sanchez, Elena
Rosado, Aranzazu
Caniego-Casas, Tamara
Carrizo, Nuria
Enguita, Ana Belén
Muñoz-Jimenez, María Teresa
Rodriguez, Borja
Perez-Gonzalez, Urbicio
Gómez-Sánchez, David
Ferrer, Irene
Ponce Aix, Santiago
Nuñez Buiza, Ángel
Garrido, Pilar
Palacios, José
Lopez-Rios, Fernando
Garrido-Martin, Eva M
Paz-Ares, Luis
author_sort Ramos-Paradas, Javier
collection PubMed
description BACKGROUND: Tumor mutational burden (TMB) is a recently proposed predictive biomarker for immunotherapy in solid tumors, including non-small cell lung cancer (NSCLC). Available assays for TMB determination differ in horizontal coverage, gene content and algorithms, leading to discrepancies in results, impacting patient selection. A harmonization study of TMB assessment with available assays in a cohort of patients with NSCLC is urgently needed. METHODS: We evaluated the TMB assessment obtained with two marketed next generation sequencing panels: TruSight Oncology 500 (TSO500) and Oncomine Tumor Mutation Load (OTML) versus a reference assay (Foundation One, FO) in 96 NSCLC samples. Additionally, we studied the level of agreement among the three methods with respect to PD-L1 expression in tumors, checked the level of different immune infiltrates versus TMB, and performed an inter-laboratory reproducibility study. Finally, adjusted cut-off values were determined. RESULTS: Both panels showed strong agreement with FO, with concordance correlation coefficients (CCC) of 0.933 (95% CI 0.908 to 0.959) for TSO500 and 0.881 (95% CI 0.840 to 0.922) for OTML. The corresponding CCCs were 0.951 (TSO500-FO) and 0.919 (OTML-FO) in tumors with <1% of cells expressing PD-L1 (PD-L1<1%; N=55), and 0.861 (TSO500-FO) and 0.722 (OTML-FO) in tumors with PD-L1≥1% (N=41). Inter-laboratory reproducibility analyses showed higher reproducibility with TSO500. No significant differences were found in terms of immune infiltration versus TMB. Adjusted cut-off values corresponding to 10 muts/Mb with FO needed to be lowered to 7.847 muts/Mb (TSO500) and 8.380 muts/Mb (OTML) to ensure a sensitivity >88%. With these cut-offs, the positive predictive value was 78.57% (95% CI 67.82 to 89.32) and the negative predictive value was 87.50% (95% CI 77.25 to 97.75) for TSO500, while for OTML they were 73.33% (95% CI 62.14 to 84.52) and 86.11% (95% CI 74.81 to 97.41), respectively. CONCLUSIONS: Both panels exhibited robust analytical performances for TMB assessment, with stronger concordances in patients with negative PD-L1 expression. TSO500 showed a higher inter-laboratory reproducibility. The cut-offs for each assay were lowered to optimal overlap with FO.
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spelling pubmed-81086702021-05-24 Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels Ramos-Paradas, Javier Hernández-Prieto, Susana Lora, David Sanchez, Elena Rosado, Aranzazu Caniego-Casas, Tamara Carrizo, Nuria Enguita, Ana Belén Muñoz-Jimenez, María Teresa Rodriguez, Borja Perez-Gonzalez, Urbicio Gómez-Sánchez, David Ferrer, Irene Ponce Aix, Santiago Nuñez Buiza, Ángel Garrido, Pilar Palacios, José Lopez-Rios, Fernando Garrido-Martin, Eva M Paz-Ares, Luis J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Tumor mutational burden (TMB) is a recently proposed predictive biomarker for immunotherapy in solid tumors, including non-small cell lung cancer (NSCLC). Available assays for TMB determination differ in horizontal coverage, gene content and algorithms, leading to discrepancies in results, impacting patient selection. A harmonization study of TMB assessment with available assays in a cohort of patients with NSCLC is urgently needed. METHODS: We evaluated the TMB assessment obtained with two marketed next generation sequencing panels: TruSight Oncology 500 (TSO500) and Oncomine Tumor Mutation Load (OTML) versus a reference assay (Foundation One, FO) in 96 NSCLC samples. Additionally, we studied the level of agreement among the three methods with respect to PD-L1 expression in tumors, checked the level of different immune infiltrates versus TMB, and performed an inter-laboratory reproducibility study. Finally, adjusted cut-off values were determined. RESULTS: Both panels showed strong agreement with FO, with concordance correlation coefficients (CCC) of 0.933 (95% CI 0.908 to 0.959) for TSO500 and 0.881 (95% CI 0.840 to 0.922) for OTML. The corresponding CCCs were 0.951 (TSO500-FO) and 0.919 (OTML-FO) in tumors with <1% of cells expressing PD-L1 (PD-L1<1%; N=55), and 0.861 (TSO500-FO) and 0.722 (OTML-FO) in tumors with PD-L1≥1% (N=41). Inter-laboratory reproducibility analyses showed higher reproducibility with TSO500. No significant differences were found in terms of immune infiltration versus TMB. Adjusted cut-off values corresponding to 10 muts/Mb with FO needed to be lowered to 7.847 muts/Mb (TSO500) and 8.380 muts/Mb (OTML) to ensure a sensitivity >88%. With these cut-offs, the positive predictive value was 78.57% (95% CI 67.82 to 89.32) and the negative predictive value was 87.50% (95% CI 77.25 to 97.75) for TSO500, while for OTML they were 73.33% (95% CI 62.14 to 84.52) and 86.11% (95% CI 74.81 to 97.41), respectively. CONCLUSIONS: Both panels exhibited robust analytical performances for TMB assessment, with stronger concordances in patients with negative PD-L1 expression. TSO500 showed a higher inter-laboratory reproducibility. The cut-offs for each assay were lowered to optimal overlap with FO. BMJ Publishing Group 2021-05-07 /pmc/articles/PMC8108670/ /pubmed/33963008 http://dx.doi.org/10.1136/jitc-2020-001904 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See https://creativecommons.org/licenses/by/4.0/.
spellingShingle Immunotherapy Biomarkers
Ramos-Paradas, Javier
Hernández-Prieto, Susana
Lora, David
Sanchez, Elena
Rosado, Aranzazu
Caniego-Casas, Tamara
Carrizo, Nuria
Enguita, Ana Belén
Muñoz-Jimenez, María Teresa
Rodriguez, Borja
Perez-Gonzalez, Urbicio
Gómez-Sánchez, David
Ferrer, Irene
Ponce Aix, Santiago
Nuñez Buiza, Ángel
Garrido, Pilar
Palacios, José
Lopez-Rios, Fernando
Garrido-Martin, Eva M
Paz-Ares, Luis
Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels
title Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels
title_full Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels
title_fullStr Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels
title_full_unstemmed Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels
title_short Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB(2) harmonization project comparing three NGS panels
title_sort tumor mutational burden assessment in non-small-cell lung cancer samples: results from the tmb(2) harmonization project comparing three ngs panels
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108670/
https://www.ncbi.nlm.nih.gov/pubmed/33963008
http://dx.doi.org/10.1136/jitc-2020-001904
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