Literature DB >> 29997292

CTLA4 methylation predicts response to anti-PD-1 and anti-CTLA-4 immunotherapy in melanoma patients.

Diane Goltz1, Heidrun Gevensleben1, Timo J Vogt2, Joern Dietrich2, Carsten Golletz1, Friedrich Bootz2, Glen Kristiansen1, Jennifer Landsberg3, Dimo Dietrich2.   

Abstract

Recent years have witnessed the groundbreaking success of immune checkpoint blockage (ICB) in metastasized malignant melanoma. However, biomarkers predicting the response to ICB are still urgently needed. In the present study, we investigated CTLA4 promoter methylation (mCTLA4) in 470 malignant melanoma patients from The Cancer Genome Atlas (non-ICB cohort) and in 50 individuals with metastasized malignant melanomas under PD-1/CTLA-4-targeted immunotherapy (ICB cohort). mCTLA4 levels were quantified using the Infinium HumanMethylation450 BeadChip (non-ICB cohort) and methylation-specific quantitative real-time PCR in DNA formalin-fixed and paraffin-embedded tissues (ICB cohort). Methylation levels were associated with molecular and clinicopathological variables and analyzed with respect to response (irRECIST) and overall survival. CTLA-4 mRNA and mCTLA4 showed a significant inverse correlation (non-ICB cohort: Spearman's ρ = -0.416, P < 0.001). In ICB-treated melanoma patients, low mCTLA4 was further strongly correlated with response to therapy (P = 0.009, ANOVA) and overall survival (hazard ratio = 2.06 [95% CI: 1.29-3.29], P = 0.003). Our data strongly support the assumption that mCTLA4 predicts response to both anti-PD-1 and anti-CTLA-4 targeted ICB in melanoma and provides paramount information for the selection of patients likely to respond to ICB.

Entities:  

Keywords:  Cancer immunotherapy; Diagnostics; Epigenetics; Immunology; Oncology

Mesh:

Substances:

Year:  2018        PMID: 29997292      PMCID: PMC6124533          DOI: 10.1172/jci.insight.96793

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  43 in total

1.  Analysis of DNA methylation of multiple genes in microdissected cells from formalin-fixed and paraffin-embedded tissues.

Authors:  Dimo Dietrich; Ralf Lesche; Reimo Tetzner; Manuel Krispin; Jörn Dietrich; Wolfgang Haedicke; Matthias Schuster; Glen Kristiansen
Journal:  J Histochem Cytochem       Date:  2009-01-19       Impact factor: 2.479

2.  Global DNA methylation remodeling accompanies CD8 T cell effector function.

Authors:  Christopher D Scharer; Benjamin G Barwick; Benjamin A Youngblood; Rafi Ahmed; Jeremy M Boss
Journal:  J Immunol       Date:  2013-08-16       Impact factor: 5.422

3.  Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity.

Authors:  Stefani Spranger; Riyue Bao; Thomas F Gajewski
Journal:  Nature       Date:  2015-05-11       Impact factor: 49.962

4.  CTLA-4 is constitutively expressed on tumor cells and can trigger apoptosis upon ligand interaction.

Authors:  Elisabetta Contardi; Giulio L Palmisano; Pier Luigi Tazzari; Alberto M Martelli; Federica Falà; Marina Fabbi; Tomohiro Kato; Enrico Lucarelli; Davide Donati; Letizia Polito; Andrea Bolognesi; Francesca Ricci; Sandra Salvi; Vittoria Gargaglione; Stefano Mantero; Marco Alberghini; Giovanni Battista Ferrara; Maria Pia Pistillo
Journal:  Int J Cancer       Date:  2005-11-20       Impact factor: 7.396

5.  Immune cell-poor melanomas benefit from PD-1 blockade after targeted type I IFN activation.

Authors:  Tobias Bald; Jennifer Landsberg; Dorys Lopez-Ramos; Marcel Renn; Nicole Glodde; Philipp Jansen; Evelyn Gaffal; Julia Steitz; Rene Tolba; Ulrich Kalinke; Andreas Limmer; Göran Jönsson; Michael Hölzel; Thomas Tüting
Journal:  Cancer Discov       Date:  2014-03-03       Impact factor: 39.397

6.  Tumor immune profiling predicts response to anti-PD-1 therapy in human melanoma.

Authors:  Adil I Daud; Kimberly Loo; Mariela L Pauli; Robert Sanchez-Rodriguez; Priscila Munoz Sandoval; Keyon Taravati; Katy Tsai; Adi Nosrati; Lorenzo Nardo; Michael D Alvarado; Alain P Algazi; Miguel H Pampaloni; Iryna V Lobach; Jimmy Hwang; Robert H Pierce; Iris K Gratz; Matthew F Krummel; Michael D Rosenblum
Journal:  J Clin Invest       Date:  2016-08-15       Impact factor: 14.808

7.  CTLA-4 is a direct target of Wnt/beta-catenin signaling and is expressed in human melanoma tumors.

Authors:  Kavita V Shah; Andy J Chien; Cassian Yee; Randall T Moon
Journal:  J Invest Dermatol       Date:  2008-06-19       Impact factor: 8.551

8.  Nivolumab plus ipilimumab in advanced melanoma.

Authors:  Jedd D Wolchok; Harriet Kluger; Margaret K Callahan; Michael A Postow; Naiyer A Rizvi; Alexander M Lesokhin; Neil H Segal; Charlotte E Ariyan; Ruth-Ann Gordon; Kathleen Reed; Matthew M Burke; Anne Caldwell; Stephanie A Kronenberg; Blessing U Agunwamba; Xiaoling Zhang; Israel Lowy; Hector David Inzunza; William Feely; Christine E Horak; Quan Hong; Alan J Korman; Jon M Wigginton; Ashok Gupta; Mario Sznol
Journal:  N Engl J Med       Date:  2013-06-02       Impact factor: 91.245

9.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

10.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

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  22 in total

1.  CTLA4 promoter hypomethylation is a negative prognostic biomarker at initial diagnosis but predicts response and favorable outcome to anti-PD-1 based immunotherapy in clear cell renal cell carcinoma.

Authors:  Niklas Klümper; Damian J Ralser; Romina Zarbl; Katrin Schlack; Andres Jan Schrader; Marc Rehlinghaus; Michèle J Hoffmann; Günter Niegisch; Annemarie Uhlig; Lutz Trojan; Julie Steinestel; Konrad Steinestel; Ralph M Wirtz; Danijel Sikic; Markus Eckstein; Glen Kristiansen; Marieta Toma; Michael Hölzel; Manuel Ritter; Sebastian Strieth; Jörg Ellinger; Dimo Dietrich
Journal:  J Immunother Cancer       Date:  2021-08       Impact factor: 13.751

Review 2.  Integration of Epigenetic Mechanisms into Non-Genotoxic Carcinogenicity Hazard Assessment: Focus on DNA Methylation and Histone Modifications.

Authors:  Daniel Desaulniers; Paule Vasseur; Abigail Jacobs; M Cecilia Aguila; Norman Ertych; Miriam N Jacobs
Journal:  Int J Mol Sci       Date:  2021-10-11       Impact factor: 5.923

3.  The landscape of CD28, CD80, CD86, CTLA4, and ICOS DNA methylation in head and neck squamous cell carcinomas.

Authors:  Luka de Vos; Ingela Grünwald; Emma Grace Bawden; Jörn Dietrich; Kathrin Scheckenbach; Constanze Wiek; Romina Zarbl; Friedrich Bootz; Jennifer Landsberg; Dimo Dietrich
Journal:  Epigenetics       Date:  2020-04-21       Impact factor: 4.528

4.  Molecular, clinicopathological, and immune correlates of LAG3 promoter DNA methylation in melanoma.

Authors:  Anne Fröhlich; Judith Sirokay; Simon Fietz; Timo J Vogt; Jörn Dietrich; Romina Zarbl; Mike Florin; Pia Kuster; Gonzalo Saavedra; Susana Ramírez Valladolid; Friederike Hoffmann; Lukas Flatz; Sandra S Ring; Carsten Golletz; Torsten Pietsch; Sebastian Strieth; Peter Brossart; Gerrit H Gielen; Glen Kristiansen; Friedrich Bootz; Jennifer Landsberg; Dimo Dietrich
Journal:  EBioMedicine       Date:  2020-08-30       Impact factor: 8.143

Review 5.  Precision Cardio-Oncology: a Systems-Based Perspective on Cardiotoxicity of Tyrosine Kinase Inhibitors and Immune Checkpoint Inhibitors.

Authors:  Sherry-Ann Brown; Jordan C Ray; Joerg Herrmann
Journal:  J Cardiovasc Transl Res       Date:  2020-04-06       Impact factor: 4.132

Review 6.  Regulatory T Cells-Related Genes Are under DNA Methylation Influence.

Authors:  Magdalena Piotrowska; Mateusz Gliwiński; Piotr Trzonkowski; Dorota Iwaszkiewicz-Grzes
Journal:  Int J Mol Sci       Date:  2021-07-01       Impact factor: 5.923

Review 7.  Understanding LAG-3 Signaling.

Authors:  Luisa Chocarro; Ester Blanco; Miren Zuazo; Hugo Arasanz; Ana Bocanegra; Leticia Fernández-Rubio; Pilar Morente; Gonzalo Fernández-Hinojal; Miriam Echaide; Maider Garnica; Pablo Ramos; Ruth Vera; Grazyna Kochan; David Escors
Journal:  Int J Mol Sci       Date:  2021-05-17       Impact factor: 5.923

8.  MeImmS: Predict Clinical Benefit of Anti-PD-1/PD-L1 Treatments Based on DNA Methylation in Non-small Cell Lung Cancer.

Authors:  Shipeng Shang; Xin Li; Yue Gao; Shuang Guo; Dailin Sun; Hanxiao Zhou; Yue Sun; Peng Wang; Hui Zhi; Jing Bai; Shangwei Ning; Xia Li
Journal:  Front Genet       Date:  2021-05-20       Impact factor: 4.599

9.  Genome-wide methylation patterns predict clinical benefit of immunotherapy in lung cancer.

Authors:  Jeong Yeon Kim; Jung Kyoon Choi; Hyunchul Jung
Journal:  Clin Epigenetics       Date:  2020-08-06       Impact factor: 6.551

Review 10.  Biological Factors behind Melanoma Response to Immune Checkpoint Inhibitors.

Authors:  Magdalena Olbryt; Marcin Rajczykowski; Wiesława Widłak
Journal:  Int J Mol Sci       Date:  2020-06-06       Impact factor: 5.923

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