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Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma
Hyun-Sung Lee, Hee-Jin Jang, Jong Min Choi, Jun Zhang, Veronica Lenge de Rosen, Thomas M. Wheeler, Ju-Seog Lee, Thuydung Tu, Peter T. Jindra, Ronald H. Kerman, Sung Yun Jung, Farrah Kheradmand, David J. Sugarbaker, Bryan M. Burt
Hyun-Sung Lee, Hee-Jin Jang, Jong Min Choi, Jun Zhang, Veronica Lenge de Rosen, Thomas M. Wheeler, Ju-Seog Lee, Thuydung Tu, Peter T. Jindra, Ronald H. Kerman, Sung Yun Jung, Farrah Kheradmand, David J. Sugarbaker, Bryan M. Burt
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Research Article Immunology Oncology

Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma

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Abstract

We generated a comprehensive atlas of the immunologic cellular networks within human malignant pleural mesothelioma (MPM) using mass cytometry. Data-driven analyses of these high-resolution single-cell data identified 2 distinct immunologic subtypes of MPM with vastly different cellular composition, activation states, and immunologic function; mass spectrometry demonstrated differential abundance of MHC-I and -II neopeptides directly identified between these subtypes. The clinical relevance of this immunologic subtyping was investigated with a discriminatory molecular signature derived through comparison of the proteomes and transcriptomes of these 2 immunologic MPM subtypes. This molecular signature, representative of a favorable intratumoral cell network, was independently associated with improved survival in MPM and predicted response to immune checkpoint inhibitors in patients with MPM and melanoma. These data additionally suggest a potentially novel mechanism of response to checkpoint blockade: requirement for high measured abundance of neopeptides in the presence of high expression of MHC proteins specific for these neopeptides.

Authors

Hyun-Sung Lee, Hee-Jin Jang, Jong Min Choi, Jun Zhang, Veronica Lenge de Rosen, Thomas M. Wheeler, Ju-Seog Lee, Thuydung Tu, Peter T. Jindra, Ronald H. Kerman, Sung Yun Jung, Farrah Kheradmand, David J. Sugarbaker, Bryan M. Burt

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Figure 5

The TiME signature to predict response to immune checkpoint inhibitors.

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The TiME signature to predict response to immune checkpoint inhibitors.
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(A) Predictive role of the TiME signature in a mouse MPM model treated with anti–CTLA-4 antibodies. (B) AUC analysis of TiME signature in a mouse MPM model treated with anti–CTLA-4 antibodies. (C) Predictive role of the TiME signature in a cohort of patients with advanced melanoma treated with PD-1 blockade (n = 27). (D) Predictive role of the TiME signature in 10 unresectable human MPM patients treated with anti–PD-1 therapy. The 2-tailed Fisher’s exact tests were used to compare the data. CR, complete response; CTLA-4, cytotoxic T-lymphocyte associated protein 4; MPM, malignant pleural mesothelioma; mRECIST, modified response evaluation criteria in solid tumors; PD, progressive disease; PD-L1, programmed cell death 1 ligand 1; PD-1, programmed cell death 1; PR, partial response; SD, stable disease; and TiME, tumor immune microenvironment.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

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