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In-House Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-Small Cell Lung Cancer and Melanoma Patients

Tumor mutational burden (TMB) has emerged as an important potential biomarker for prediction of response to immune-checkpoint inhibitors (ICIs), notably in non-small cell lung cancer (NSCLC). However, its in-house assessment in routine clinical practice is currently challenging and validation is urg...

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Detalles Bibliográficos
Autores principales: Heeke, Simon, Benzaquen, Jonathan, Long-Mira, Elodie, Audelan, Benoit, Lespinet, Virginie, Bordone, Olivier, Lalvée, Salomé, Zahaf, Katia, Poudenx, Michel, Humbert, Olivier, Montaudié, Henri, Dugourd, Pierre-Michel, Chassang, Madleen, Passeron, Thierry, Delingette, Hervé, Marquette, Charles-Hugo, Hofman, Véronique, Stenzinger, Albrecht, Ilié, Marius, Hofman, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769455/
https://www.ncbi.nlm.nih.gov/pubmed/31470674
http://dx.doi.org/10.3390/cancers11091271
Descripción
Sumario:Tumor mutational burden (TMB) has emerged as an important potential biomarker for prediction of response to immune-checkpoint inhibitors (ICIs), notably in non-small cell lung cancer (NSCLC). However, its in-house assessment in routine clinical practice is currently challenging and validation is urgently needed. We have analyzed sixty NSCLC and thirty-six melanoma patients with ICI treatment, using the FoundationOne test (FO) in addition to in-house testing using the Oncomine TML (OTML) panel and evaluated the durable clinical benefit (DCB), defined by >6 months without progressive disease. Comparison of TMB values obtained by both tests demonstrated a high correlation in NSCLC (R(2) = 0.73) and melanoma (R(2) = 0.94). The association of TMB with DCB was comparable between OTML (area-under the curve (AUC) = 0.67) and FO (AUC = 0.71) in NSCLC. Median TMB was higher in the DCB cohort and progression-free survival (PFS) was prolonged in patients with high TMB (OTML HR = 0.35; FO HR = 0.45). In contrast, we detected no differences in PFS and median TMB in our melanoma cohort. Combining TMB with PD-L1 and CD8-expression by immunohistochemistry improved the predictive value. We conclude that in our cohort both approaches are equally able to assess TMB and to predict DCB in NSCLC.