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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8491983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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