Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients

Background Some sarcomas respond to immune checkpoint inhibition, but predictive biomarkers are unknown. We analyzed tumor DNA methylation profiles in relation to immunological parameters and response to anti-programmed cell death 1 (anti-PD-1) immune checkpoint inhibitor (ICI) therapy in patients w...

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Main Authors: Matthias Preusser, Leonhard Müllauer, Anna S Berghoff, Sebastian Bauer, Gerwin Heller, Thomas Brodowicz, Wolfgang Lamm, Katharina Feldmann, Angelika M Starzer, Rainer Hamacher, Erwin Tomasich, Teresa Hatziioannou, Stefan Traint, Iris M Noebauer-Huhmann, Julia Furtner, Gabriele Amann, Hans-Ulrich Schildhaus
Format: Article
Language:English
Published: BMJ Publishing Group 2021-03-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/9/3/e001458.full
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author Matthias Preusser
Leonhard Müllauer
Anna S Berghoff
Sebastian Bauer
Gerwin Heller
Thomas Brodowicz
Wolfgang Lamm
Katharina Feldmann
Angelika M Starzer
Rainer Hamacher
Erwin Tomasich
Teresa Hatziioannou
Stefan Traint
Iris M Noebauer-Huhmann
Julia Furtner
Gabriele Amann
Hans-Ulrich Schildhaus
spellingShingle Matthias Preusser
Leonhard Müllauer
Anna S Berghoff
Sebastian Bauer
Gerwin Heller
Thomas Brodowicz
Wolfgang Lamm
Katharina Feldmann
Angelika M Starzer
Rainer Hamacher
Erwin Tomasich
Teresa Hatziioannou
Stefan Traint
Iris M Noebauer-Huhmann
Julia Furtner
Gabriele Amann
Hans-Ulrich Schildhaus
Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients
Journal for ImmunoTherapy of Cancer
author_facet Matthias Preusser
Leonhard Müllauer
Anna S Berghoff
Sebastian Bauer
Gerwin Heller
Thomas Brodowicz
Wolfgang Lamm
Katharina Feldmann
Angelika M Starzer
Rainer Hamacher
Erwin Tomasich
Teresa Hatziioannou
Stefan Traint
Iris M Noebauer-Huhmann
Julia Furtner
Gabriele Amann
Hans-Ulrich Schildhaus
author_sort Matthias Preusser
title Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients
title_short Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients
title_full Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients
title_fullStr Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients
title_full_unstemmed Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients
title_sort tumor dna methylation profiles correlate with response to anti-pd-1 immune checkpoint inhibitor monotherapy in sarcoma patients
publisher BMJ Publishing Group
series Journal for ImmunoTherapy of Cancer
issn 2051-1426
publishDate 2021-03-01
description Background Some sarcomas respond to immune checkpoint inhibition, but predictive biomarkers are unknown. We analyzed tumor DNA methylation profiles in relation to immunological parameters and response to anti-programmed cell death 1 (anti-PD-1) immune checkpoint inhibitor (ICI) therapy in patients with sarcoma.Patients and methods We retrospectively identified adult patients who had received anti-PD-1 ICI therapy for recurrent sarcoma in two independent centers. We performed (1) blinded radiological response evaluation according to immune response evaluation criteria in solid tumors (iRECIST) ; (2) tumor DNA methylation profiling of >850,000 probes using Infinium MethylationEPIC microarrays; (3) analysis of tumor-infiltrating immune cell subsets (CD3, CD8, CD45RO, FOXP3) and intratumoral expression of immune checkpoint molecules (PD-L1, PD-1, LAG-3) using immunohistochemistry; and (4) evaluation of blood-based systemic inflammation scores (neutrophil-to-lymphocyte ratio, leucocyte-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio). Response to anti-PD-1 ICI therapy was bioinformatically and statistically correlated with DNA methylation profiles and immunological data.Results 35 patients (median age of 50 (23–81) years; 18 females, 17 males; 27 soft tissue sarcomas; 8 osteosarcomas) were included in this study. The objective response rate to anti-PD-1 ICI therapy was 22.9% with complete responses in 3 out of 35 and partial responses in 5 out of 35 patients. Adjustment of DNA methylation data for tumor-infiltrating immune cells resulted in identification of methylation differences between responders and non-responders to anti-PD-1 ICI. 2453 differentially methylated CpG sites (DMPs; 2043 with decreased and 410 with increased methylation) were identified. Clustering of sarcoma samples based on these DMPs revealed two main clusters: methylation cluster 1 (MC1) consisted of 73% responders and methylation cluster 2 (MC2) contained only non-responders to anti-PD-1 ICI. Median progression-free survival from anti-PD-1 therapy start of MC1 and MC2 patients was 16.5 and 1.9 months, respectively (p=0.001). Median overall survival of these patients was 34.4 and 8.0 months, respectively (p=0.029). The most prominent DNA methylation differences were found in pathways implicated in Rap1 signaling, focal adhesion, adherens junction Phosphoinositide 3-kinase (PI3K)-Akt signaling and extracellular matrix (ECM)–receptor interaction.Conclusions Our data demonstrate that tumor DNA methylation profiles may serve as a predictive marker for response to anti-PD-1 ICI therapy in sarcoma.
url https://jitc.bmj.com/content/9/3/e001458.full
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spelling doaj-a79916ad1b1542e9b504874a3913dd322021-05-30T13:00:52ZengBMJ Publishing GroupJournal for ImmunoTherapy of Cancer2051-14262021-03-019310.1136/jitc-2020-001458Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patientsMatthias Preusser0Leonhard Müllauer1Anna S Berghoff2Sebastian Bauer3Gerwin Heller4Thomas Brodowicz5Wolfgang Lamm6Katharina Feldmann7Angelika M Starzer8Rainer Hamacher9Erwin Tomasich10Teresa Hatziioannou11Stefan Traint12Iris M Noebauer-Huhmann13Julia Furtner14Gabriele Amann15Hans-Ulrich Schildhaus16Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDepartment of Pathology, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDepartment of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Duisburg, GermanyDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDepartment of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Duisburg, GermanyDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, AustriaDepartment of Biomedical Imaging and Image-guided Therapy, Division of General and Paediatric Radiology, Medical University of Vienna, Vienna, AustriaDepartment of Biomedical Imaging and Image-guided Therapy, Division of General and Paediatric Radiology, Medical University of Vienna, Vienna, AustriaDepartment of Pathology, Medical University of Vienna, Vienna, AustriaInstitute of Pathology, University Hospital Essen, Essen, GermanyBackground Some sarcomas respond to immune checkpoint inhibition, but predictive biomarkers are unknown. We analyzed tumor DNA methylation profiles in relation to immunological parameters and response to anti-programmed cell death 1 (anti-PD-1) immune checkpoint inhibitor (ICI) therapy in patients with sarcoma.Patients and methods We retrospectively identified adult patients who had received anti-PD-1 ICI therapy for recurrent sarcoma in two independent centers. We performed (1) blinded radiological response evaluation according to immune response evaluation criteria in solid tumors (iRECIST) ; (2) tumor DNA methylation profiling of >850,000 probes using Infinium MethylationEPIC microarrays; (3) analysis of tumor-infiltrating immune cell subsets (CD3, CD8, CD45RO, FOXP3) and intratumoral expression of immune checkpoint molecules (PD-L1, PD-1, LAG-3) using immunohistochemistry; and (4) evaluation of blood-based systemic inflammation scores (neutrophil-to-lymphocyte ratio, leucocyte-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio). Response to anti-PD-1 ICI therapy was bioinformatically and statistically correlated with DNA methylation profiles and immunological data.Results 35 patients (median age of 50 (23–81) years; 18 females, 17 males; 27 soft tissue sarcomas; 8 osteosarcomas) were included in this study. The objective response rate to anti-PD-1 ICI therapy was 22.9% with complete responses in 3 out of 35 and partial responses in 5 out of 35 patients. Adjustment of DNA methylation data for tumor-infiltrating immune cells resulted in identification of methylation differences between responders and non-responders to anti-PD-1 ICI. 2453 differentially methylated CpG sites (DMPs; 2043 with decreased and 410 with increased methylation) were identified. Clustering of sarcoma samples based on these DMPs revealed two main clusters: methylation cluster 1 (MC1) consisted of 73% responders and methylation cluster 2 (MC2) contained only non-responders to anti-PD-1 ICI. Median progression-free survival from anti-PD-1 therapy start of MC1 and MC2 patients was 16.5 and 1.9 months, respectively (p=0.001). Median overall survival of these patients was 34.4 and 8.0 months, respectively (p=0.029). The most prominent DNA methylation differences were found in pathways implicated in Rap1 signaling, focal adhesion, adherens junction Phosphoinositide 3-kinase (PI3K)-Akt signaling and extracellular matrix (ECM)–receptor interaction.Conclusions Our data demonstrate that tumor DNA methylation profiles may serve as a predictive marker for response to anti-PD-1 ICI therapy in sarcoma.https://jitc.bmj.com/content/9/3/e001458.full