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A Multi-Omics Analysis of Metastatic Melanoma Identifies a Germinal Center-Like Tumor Microenvironment in HLA-DR-Positive Tumor Areas.
Gadeyne, Laura; Van Herck, Yannick; Milli, Giorgia; Atak, Zeynep Kalender; Bolognesi, Maddalena Maria; Wouters, Jasper; Marcelis, Lukas; Minia, Angeliki; Pliaka, Vaia; Roznac, Jan; Alexopoulos, Leonidas G; Cattoretti, Giorgio; Bechter, Oliver; Oord, Joost Van Den; De Smet, Frederik; Antoranz, Asier; Bosisio, Francesca Maria.
Afiliação
  • Gadeyne L; Department of Pathology, UZ Leuven, Leuven, Belgium.
  • Van Herck Y; Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium.
  • Milli G; Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Atak ZK; Laboratory of Computational Biology, KU Leuven, Leuven, Belgium.
  • Bolognesi MM; Pathology, Department of Medicine & Surgery, University of Milano-Bicocca, Milan, Italy.
  • Wouters J; Laboratory of Computational Biology, KU Leuven, Leuven, Belgium.
  • Marcelis L; Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Minia A; ProtATonce Ltd, Athens, Greece.
  • Pliaka V; ProtATonce Ltd, Athens, Greece.
  • Roznac J; ProtATonce Ltd, Athens, Greece.
  • Alexopoulos LG; Life Sciences Research Unit, University of Luxembourg, Belvaux, Luxembourg.
  • Cattoretti G; ProtATonce Ltd, Athens, Greece.
  • Bechter O; Biomedical Systems Laboratory, Department of Mechanical Engineering, National Technical University of Athens, Athens, Greece.
  • Oord JVD; Pathology, Department of Medicine & Surgery, University of Milano-Bicocca, Milan, Italy.
  • De Smet F; Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium.
  • Antoranz A; Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Bosisio FM; Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Front Oncol ; 11: 636057, 2021.
Article em En | MEDLINE | ID: mdl-33842341
ABSTRACT
The emergence of immune checkpoint inhibitors has dramatically changed the therapeutic landscape for patients with advanced melanoma. However, relatively low response rates and a high incidence of severe immune-related adverse events have prompted the search for predictive biomarkers. A positive predictive value has been attributed to the aberrant expression of Human Leukocyte Antigen-DR (HLA-DR) by melanoma cells, but it remains unknown why this is the case. In this study, we have examined the microenvironment of HLA-DR positive metastatic melanoma samples using a multi-omics approach. First, using spatial, single-cell mapping by multiplexed immunohistochemistry, we found that the microenvironment of HLA-DR positive melanoma regions was enriched by professional antigen presenting cells, including classical dendritic cells and macrophages, while a more general cytotoxic T cell exhaustion phenotype was present in these regions. In parallel, transcriptomic analysis on micro dissected tissue from HLA-DR positive and HLA-DR negative areas showed increased IFNγ signaling, enhanced leukocyte adhesion and mononuclear cell proliferation in HLA-DR positive areas. Finally, multiplexed cytokine profiling identified an increased expression of germinal center cytokines CXCL12, CXCL13 and CCL19 in HLA-DR positive metastatic lesions, which, together with IFNγ and IL4 could serve as biomarkers to discriminate tumor samples containing HLA-DR overexpressing tumor cells from HLA-DR negative samples. Overall, this suggests that HLA-DR positive areas in melanoma attract the anti-tumor immune cell infiltration by creating a dystrophic germinal center-like microenvironment where an enhanced antigen presentation leads to an exhausted microenvironment, nevertheless representing a fertile ground for a better efficacy of anti-PD-1 inhibitors due to simultaneous higher levels of PD-1 in the immune cells and PD-L1 in the HLA-DR positive melanoma cells.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article