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posted on 2023-03-31, 05:22 authored by Asier Antoranz, Yannick Van Herck, Maddalena M. Bolognesi, Seodhna M. Lynch, Arman Rahman, William M. Gallagher, Veerle Boecxstaens, Jean-Christophe Marine, Giorgio Cattoretti, Joost J. van den Oord, Frederik De Smet, Oliver Bechter, Francesca M. Bosisio Supplementary Figure from Mapping the Immune Landscape in Metastatic Melanoma Reveals Localized Cell–Cell Interactions That Predict Immunotherapy Response
Funding
KU Leuven
KUL INTERNE FONDSEN MIDDEL-Zware infrastructuren
FWO Fundamenteel Klinisch Mandaat
European Union's FP7 Marie Sklodowska-Curie Industry-Academia Partnership
Science Foundation Ireland Investigator Programme
Science Foundation Ireland Strategic Partnership Programme
Regione Lombardia
History
ARTICLE ABSTRACT
While immune checkpoint–based immunotherapy (ICI) shows promising clinical results in patients with cancer, only a subset of patients responds favorably. Response to ICI is dictated by complex networks of cellular interactions between malignant and nonmalignant cells. Although insights into the mechanisms that modulate the pivotal antitumoral activity of cytotoxic T cells (Tcy) have recently been gained, much of what has been learned is based on single-cell analyses of dissociated tumor samples, resulting in a lack of critical information about the spatial distribution of relevant cell types. Here, we used multiplexed IHC to spatially characterize the immune landscape of metastatic melanoma from responders and nonresponders to ICI. Such high-dimensional pathology maps showed that Tcy gradually evolve toward an exhausted phenotype as they approach and infiltrate the tumor. Moreover, a key cellular interaction network functionally linked Tcy and PD-L1+ macrophages. Mapping the respective spatial distributions of these two cell populations predicted response to anti-PD-1 immunotherapy with high confidence. These results suggest that baseline measurements of the spatial context should be integrated in the design of predictive biomarkers to identify patients likely to benefit from ICI.
This study shows that spatial characterization can address the challenge of finding efficient biomarkers, revealing that localization of macrophages and T cells in melanoma predicts patient response to ICI.See related commentary by Smalley and Smalley, p. 3198
