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Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching
Immune checkpoint inhibition (ICI) has been established as successful modality in cancer treatment. Combination concepts are used to optimize treatment outcome, but may also induce higher toxicity rates than monotherapy. Several rationales support the combination of radiotherapy (RT) with ICI as rad...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563550/ https://www.ncbi.nlm.nih.gov/pubmed/32867046 http://dx.doi.org/10.3390/cancers12092429 |
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author | Trommer, Maike Kinsky, Jaika Adams, Anne Hellmich, Martin Schlaak, Max von Bergwelt-Baildon, Michael Celik, Eren Rosenbrock, Johannes Morgenthaler, Janis Herter, Jan M. Linde, Philipp Mauch, Cornelia Theurich, Sebastian Marnitz, Simone Baues, Christian |
author_facet | Trommer, Maike Kinsky, Jaika Adams, Anne Hellmich, Martin Schlaak, Max von Bergwelt-Baildon, Michael Celik, Eren Rosenbrock, Johannes Morgenthaler, Janis Herter, Jan M. Linde, Philipp Mauch, Cornelia Theurich, Sebastian Marnitz, Simone Baues, Christian |
author_sort | Trommer, Maike |
collection | PubMed |
description | Immune checkpoint inhibition (ICI) has been established as successful modality in cancer treatment. Combination concepts are used to optimize treatment outcome, but may also induce higher toxicity rates than monotherapy. Several rationales support the combination of radiotherapy (RT) with ICI as radioimmunotherapy (RIT), but it is still unknown in which clinical situation RIT would be most beneficial. Therefore, we have conducted a retrospective matched-pair analysis of 201 patients with advanced-stage cancers and formed two groups treated with programmed cell death protein 1 (PD-1) inhibitors only (PD1i) or in combination with local RT (RIT) at our center between 2013 and 2017. We collected baseline characteristics, programmed death ligand 1 (PD-L1) status, mutational status, PD-1 inhibitor and RT treatment details, and side effects according to the Common Terminology Criteria for Adverse Events (CTCAE) v.5.0. Patients received pembrolizumab (n = 93) or nivolumab (n = 108), 153 with additional RT. For overall survival (OS) and progression-free survival (PFS), there was no significant difference between both groups. After propensity score matching (PSM), we analyzed 96 patients, 67 with additional and 29 without RT. We matched for different covariates that could have a possible influence on the treatment outcome. The RIT group displayed a trend towards a longer OS until the PD1i group reached a survival plateau. PD-L1-positive patients, smokers, patients with a BMI ≤ 25, and patients without malignant melanoma showed a longer OS when treated with RIT. Our data show that some subgroups may benefit more from RIT than others. Suitable biomarkers as well as the optimal timing and dosage must be established in order to achieve the best effect on cancer treatment outcome. |
format | Online Article Text |
id | pubmed-7563550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75635502020-10-27 Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching Trommer, Maike Kinsky, Jaika Adams, Anne Hellmich, Martin Schlaak, Max von Bergwelt-Baildon, Michael Celik, Eren Rosenbrock, Johannes Morgenthaler, Janis Herter, Jan M. Linde, Philipp Mauch, Cornelia Theurich, Sebastian Marnitz, Simone Baues, Christian Cancers (Basel) Article Immune checkpoint inhibition (ICI) has been established as successful modality in cancer treatment. Combination concepts are used to optimize treatment outcome, but may also induce higher toxicity rates than monotherapy. Several rationales support the combination of radiotherapy (RT) with ICI as radioimmunotherapy (RIT), but it is still unknown in which clinical situation RIT would be most beneficial. Therefore, we have conducted a retrospective matched-pair analysis of 201 patients with advanced-stage cancers and formed two groups treated with programmed cell death protein 1 (PD-1) inhibitors only (PD1i) or in combination with local RT (RIT) at our center between 2013 and 2017. We collected baseline characteristics, programmed death ligand 1 (PD-L1) status, mutational status, PD-1 inhibitor and RT treatment details, and side effects according to the Common Terminology Criteria for Adverse Events (CTCAE) v.5.0. Patients received pembrolizumab (n = 93) or nivolumab (n = 108), 153 with additional RT. For overall survival (OS) and progression-free survival (PFS), there was no significant difference between both groups. After propensity score matching (PSM), we analyzed 96 patients, 67 with additional and 29 without RT. We matched for different covariates that could have a possible influence on the treatment outcome. The RIT group displayed a trend towards a longer OS until the PD1i group reached a survival plateau. PD-L1-positive patients, smokers, patients with a BMI ≤ 25, and patients without malignant melanoma showed a longer OS when treated with RIT. Our data show that some subgroups may benefit more from RIT than others. Suitable biomarkers as well as the optimal timing and dosage must be established in order to achieve the best effect on cancer treatment outcome. MDPI 2020-08-27 /pmc/articles/PMC7563550/ /pubmed/32867046 http://dx.doi.org/10.3390/cancers12092429 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Trommer, Maike Kinsky, Jaika Adams, Anne Hellmich, Martin Schlaak, Max von Bergwelt-Baildon, Michael Celik, Eren Rosenbrock, Johannes Morgenthaler, Janis Herter, Jan M. Linde, Philipp Mauch, Cornelia Theurich, Sebastian Marnitz, Simone Baues, Christian Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching |
title | Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching |
title_full | Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching |
title_fullStr | Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching |
title_full_unstemmed | Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching |
title_short | Addition of Radiotherapy to Immunotherapy: Effects on Outcome of Different Subgroups Using a Propensity Score Matching |
title_sort | addition of radiotherapy to immunotherapy: effects on outcome of different subgroups using a propensity score matching |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563550/ https://www.ncbi.nlm.nih.gov/pubmed/32867046 http://dx.doi.org/10.3390/cancers12092429 |
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