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Distinct immune landscapes characterize highly versus minimally invasive brain metastases
Sarah M. Maritan, Elham Karimi, Matthew Dankner, Aldo Hernandez-Corchado, Miranda W. Yu, Matthew G. Annis, Yashar Aghazadeh Habashi, Morteza Rezanejad, Bridget Liu, Nebras Koudieh, Emilie Pichette, Parvaneh Fallah, Benoit Fiset, Yuhong Wei, Ali Nehme, Chun Geun Lee, Jack A. Elias, Morag Park, Yasser Riazalhosseini, Hamed Najafabadi, Kevin Petrecca, Marie-Christine Guiot, Daniela F. Quail, Logan A. Walsh, Peter M. Siegel
Sarah M. Maritan, Elham Karimi, Matthew Dankner, Aldo Hernandez-Corchado, Miranda W. Yu, Matthew G. Annis, Yashar Aghazadeh Habashi, Morteza Rezanejad, Bridget Liu, Nebras Koudieh, Emilie Pichette, Parvaneh Fallah, Benoit Fiset, Yuhong Wei, Ali Nehme, Chun Geun Lee, Jack A. Elias, Morag Park, Yasser Riazalhosseini, Hamed Najafabadi, Kevin Petrecca, Marie-Christine Guiot, Daniela F. Quail, Logan A. Walsh, Peter M. Siegel
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Research Article Immunology Oncology

Distinct immune landscapes characterize highly versus minimally invasive brain metastases

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Abstract

Brain metastases (BrMs) occur in approximately 30% of cancer patients, causing nearly one-fifth of cancer deaths. While immune checkpoint inhibitors (ICIs) benefit some BrM patients, responses remain highly variable. This variability partly reflects distinct histopathological growth patterns that include minimally invasive (MI) and highly invasive (HI) brain BrMs. Here we show that MI BrMs exhibit robust immune infiltration, whereas HI lesions are immunosuppressed. However, histological differentiation between MI and HI can be challenging because of subjective margin assessment. Here, using highly multiplexed spatial proteomics on 119 tumor sections from 46 patients with BrMs, we identify CHI3L1 as a key mediator of the immunosuppressive microenvironment in HI BrMs. In preclinical models, genetic deletion of CHI3L1 converts immune-cold metastases into lymphocyte-rich, ICI-responsive lesions infiltrated by granzyme B+ CD8+ T cells. In BrM patients treated with ICI, immunohistochemical quantification of CHI3L1 expression was a stronger predictor of ICI response than traditional MI/HI classification. Thus, CHI3L1 represents a promising biomarker and therapeutic target for BrMs.

Authors

Sarah M. Maritan, Elham Karimi, Matthew Dankner, Aldo Hernandez-Corchado, Miranda W. Yu, Matthew G. Annis, Yashar Aghazadeh Habashi, Morteza Rezanejad, Bridget Liu, Nebras Koudieh, Emilie Pichette, Parvaneh Fallah, Benoit Fiset, Yuhong Wei, Ali Nehme, Chun Geun Lee, Jack A. Elias, Morag Park, Yasser Riazalhosseini, Hamed Najafabadi, Kevin Petrecca, Marie-Christine Guiot, Daniela F. Quail, Logan A. Walsh, Peter M. Siegel

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Figure 3

Spatial profiling reveals immune cell localization to the brain-tumor interface in MI BrMs.

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Spatial profiling reveals immune cell localization to the brain-tumor in...
(A) Heatmap of pairwise cell-cell interaction (red) or avoidance (blue) behaviors for MI (top of square) and HI (bottom of square) BrM margin samples. Boxes highlight specific cellular associations of interest. Associations between cell types are to be read row-to-column. NK cells and dendritic cells were omitted from the heatmap owing to the absence of significant interaction or avoidance behaviors. (B) Heatmap of cell type distribution across 9 cellular neighborhoods (CNs) identified in BrM margins (n = 47 images) using N = 10 nearest neighbors. Boxes highlight cell populations of interest. (C) Bar graph depicting percentage of cells in each CN across HI (blue, n = 34 images) and MI (brown, n = 13 images) BrM margins. P values were calculated using 2-tailed Student’s t test. (D) Average abundance of each CN in HI (left) and MI (right) BrM margins. For each image, the percentage of cells in each CN was quantified and then averaged across all images in a category. (E) Representative Voronoi diagrams of CNs in MI (left) and HI (right) BrM margins from lung cancer (left), breast cancer (middle), and melanoma (right). Color code for CNs is provided.

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ISSN 2379-3708

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