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Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma

BACKGROUND: PD-1-based immune checkpoint blockade (ICB) is a highly effective therapy in metastatic melanoma. However, 40-60% of patients are primarily resistant, with valid predictive biomarkers currently missing. This study investigated the digitally quantified tumor PD-L1 expression for ICB thera...

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Autores principales: Placke, Jan-Malte, Soun, Camille, Bottek, Jenny, Herbst, Rudolf, Terheyden, Patrick, Utikal, Jochen, Pföhler, Claudia, Ulrich, Jens, Kreuter, Alexander, Pfeiffer, Christiane, Mohr, Peter, Gutzmer, Ralf, Meier, Friedegund, Dippel, Edgar, Weichenthal, Michael, Zimmer, Lisa, Livingstone, Elisabeth, Becker, Jürgen C., Lodde, Georg, Sucker, Antje, Griewank, Klaus, Horn, Susanne, Hadaschik, Eva, Roesch, Alexander, Schadendorf, Dirk, Engel, Daniel Robert, Ugurel, Selma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491983/
https://www.ncbi.nlm.nih.gov/pubmed/34621681
http://dx.doi.org/10.3389/fonc.2021.741993
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author Placke, Jan-Malte
Soun, Camille
Bottek, Jenny
Herbst, Rudolf
Terheyden, Patrick
Utikal, Jochen
Pföhler, Claudia
Ulrich, Jens
Kreuter, Alexander
Pfeiffer, Christiane
Mohr, Peter
Gutzmer, Ralf
Meier, Friedegund
Dippel, Edgar
Weichenthal, Michael
Zimmer, Lisa
Livingstone, Elisabeth
Becker, Jürgen C.
Lodde, Georg
Sucker, Antje
Griewank, Klaus
Horn, Susanne
Hadaschik, Eva
Roesch, Alexander
Schadendorf, Dirk
Engel, Daniel Robert
Ugurel, Selma
author_facet Placke, Jan-Malte
Soun, Camille
Bottek, Jenny
Herbst, Rudolf
Terheyden, Patrick
Utikal, Jochen
Pföhler, Claudia
Ulrich, Jens
Kreuter, Alexander
Pfeiffer, Christiane
Mohr, Peter
Gutzmer, Ralf
Meier, Friedegund
Dippel, Edgar
Weichenthal, Michael
Zimmer, Lisa
Livingstone, Elisabeth
Becker, Jürgen C.
Lodde, Georg
Sucker, Antje
Griewank, Klaus
Horn, Susanne
Hadaschik, Eva
Roesch, Alexander
Schadendorf, Dirk
Engel, Daniel Robert
Ugurel, Selma
author_sort Placke, Jan-Malte
collection PubMed
description BACKGROUND: PD-1-based immune checkpoint blockade (ICB) is a highly effective therapy in metastatic melanoma. However, 40-60% of patients are primarily resistant, with valid predictive biomarkers currently missing. This study investigated the digitally quantified tumor PD-L1 expression for ICB therapy outcome prediction. PATIENTS AND METHODS: Tumor tissues taken prior to PD-1-based ICB for unresectable metastatic disease were collected within the prospective multicenter Tissue Registry in Melanoma (TRIM). PD-L1 expression (clone 28-8; cut-off=5%) was determined by digital and physician quantification, and correlated with therapy outcome (best overall response, BOR; progression-free survival, PFS; overall survival, OS). RESULTS: Tissue samples from 156 patients were analyzed (anti-PD-1, n=115; anti-CTLA-4+anti-PD-1, n=41). Patients with PD-L1-positive tumors showed an improved response compared to patients with PD-L1-negative tumors, by digital (BOR 50.5% versus 32.2%; p=0.026) and physician (BOR 54.2% versus 36.6%; p=0.032) quantification. Tumor PD-L1 positivity was associated with a prolonged PFS and OS by either digital (PFS, 9.9 versus 4.6 months, p=0.021; OS, not reached versus 13.0 months, p=0.001) or physician (PFS, 10.6 versus 5.6 months, p=0.051; OS, not reached versus 15.6 months, p=0.011) quantification. Multivariable Cox regression revealed digital (PFS, HR=0.57, p=0.007; OS, HR=0.44, p=0.001) and physician (OS, HR=0.54, p=0.016) PD-L1 quantification as independent predictors of survival upon PD-1-based ICB. The combination of both methods identified a patient subgroup with particularly favorable therapy outcome (PFS, HR=0.53, p=0.011; OS, HR=0.47, p=0.008). CONCLUSION: Pre-treatment tumor PD-L1 positivity predicted a favorable outcome of PD-1-based ICB in melanoma. Herein, digital quantification was not inferior to physician quantification, and should be further validated for clinical use.
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spelling pubmed-84919832021-10-06 Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma Placke, Jan-Malte Soun, Camille Bottek, Jenny Herbst, Rudolf Terheyden, Patrick Utikal, Jochen Pföhler, Claudia Ulrich, Jens Kreuter, Alexander Pfeiffer, Christiane Mohr, Peter Gutzmer, Ralf Meier, Friedegund Dippel, Edgar Weichenthal, Michael Zimmer, Lisa Livingstone, Elisabeth Becker, Jürgen C. Lodde, Georg Sucker, Antje Griewank, Klaus Horn, Susanne Hadaschik, Eva Roesch, Alexander Schadendorf, Dirk Engel, Daniel Robert Ugurel, Selma Front Oncol Oncology BACKGROUND: PD-1-based immune checkpoint blockade (ICB) is a highly effective therapy in metastatic melanoma. However, 40-60% of patients are primarily resistant, with valid predictive biomarkers currently missing. This study investigated the digitally quantified tumor PD-L1 expression for ICB therapy outcome prediction. PATIENTS AND METHODS: Tumor tissues taken prior to PD-1-based ICB for unresectable metastatic disease were collected within the prospective multicenter Tissue Registry in Melanoma (TRIM). PD-L1 expression (clone 28-8; cut-off=5%) was determined by digital and physician quantification, and correlated with therapy outcome (best overall response, BOR; progression-free survival, PFS; overall survival, OS). RESULTS: Tissue samples from 156 patients were analyzed (anti-PD-1, n=115; anti-CTLA-4+anti-PD-1, n=41). Patients with PD-L1-positive tumors showed an improved response compared to patients with PD-L1-negative tumors, by digital (BOR 50.5% versus 32.2%; p=0.026) and physician (BOR 54.2% versus 36.6%; p=0.032) quantification. Tumor PD-L1 positivity was associated with a prolonged PFS and OS by either digital (PFS, 9.9 versus 4.6 months, p=0.021; OS, not reached versus 13.0 months, p=0.001) or physician (PFS, 10.6 versus 5.6 months, p=0.051; OS, not reached versus 15.6 months, p=0.011) quantification. Multivariable Cox regression revealed digital (PFS, HR=0.57, p=0.007; OS, HR=0.44, p=0.001) and physician (OS, HR=0.54, p=0.016) PD-L1 quantification as independent predictors of survival upon PD-1-based ICB. The combination of both methods identified a patient subgroup with particularly favorable therapy outcome (PFS, HR=0.53, p=0.011; OS, HR=0.47, p=0.008). CONCLUSION: Pre-treatment tumor PD-L1 positivity predicted a favorable outcome of PD-1-based ICB in melanoma. Herein, digital quantification was not inferior to physician quantification, and should be further validated for clinical use. Frontiers Media S.A. 2021-09-21 /pmc/articles/PMC8491983/ /pubmed/34621681 http://dx.doi.org/10.3389/fonc.2021.741993 Text en Copyright © 2021 Placke, Soun, Bottek, Herbst, Terheyden, Utikal, Pföhler, Ulrich, Kreuter, Pfeiffer, Mohr, Gutzmer, Meier, Dippel, Weichenthal, Zimmer, Livingstone, Becker, Lodde, Sucker, Griewank, Horn, Hadaschik, Roesch, Schadendorf, Engel and Ugurel https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Placke, Jan-Malte
Soun, Camille
Bottek, Jenny
Herbst, Rudolf
Terheyden, Patrick
Utikal, Jochen
Pföhler, Claudia
Ulrich, Jens
Kreuter, Alexander
Pfeiffer, Christiane
Mohr, Peter
Gutzmer, Ralf
Meier, Friedegund
Dippel, Edgar
Weichenthal, Michael
Zimmer, Lisa
Livingstone, Elisabeth
Becker, Jürgen C.
Lodde, Georg
Sucker, Antje
Griewank, Klaus
Horn, Susanne
Hadaschik, Eva
Roesch, Alexander
Schadendorf, Dirk
Engel, Daniel Robert
Ugurel, Selma
Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
title Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
title_full Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
title_fullStr Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
title_full_unstemmed Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
title_short Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma
title_sort digital quantification of tumor pd-l1 predicts outcome of pd-1-based immune checkpoint therapy in metastatic melanoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491983/
https://www.ncbi.nlm.nih.gov/pubmed/34621681
http://dx.doi.org/10.3389/fonc.2021.741993
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