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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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