Pan-cancer proteogenomics characterization of tumor immunity
Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved..
Despite the successes of immunotherapy in cancer treatment over recent decades, less than <10%-20% cancer cases have demonstrated durable responses from immune checkpoint blockade. To enhance the efficacy of immunotherapies, combination therapies suppressing multiple immune evasion mechanisms are increasingly contemplated. To better understand immune cell surveillance and diverse immune evasion responses in tumor tissues, we comprehensively characterized the immune landscape of more than 1,000 tumors across ten different cancers using CPTAC pan-cancer proteogenomic data. We identified seven distinct immune subtypes based on integrative learning of cell type compositions and pathway activities. We then thoroughly categorized unique genomic, epigenetic, transcriptomic, and proteomic changes associated with each subtype. Further leveraging the deep phosphoproteomic data, we studied kinase activities in different immune subtypes, which revealed potential subtype-specific therapeutic targets. Insights from this work will facilitate the development of future immunotherapy strategies and enhance precision targeting with existing agents.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:187 |
|---|---|
| Enthalten in: |
Cell - 187(2024), 5 vom: 29. Feb., Seite 1255-1277.e27 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Petralia, Francesca [VerfasserIn] |
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| Links: |
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| Themen: |
Histopathology |
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| Anmerkungen: |
Date Completed 04.03.2024 Date Revised 06.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.cell.2024.01.027 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM368499049 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a Despite the successes of immunotherapy in cancer treatment over recent decades, less than <10%-20% cancer cases have demonstrated durable responses from immune checkpoint blockade. To enhance the efficacy of immunotherapies, combination therapies suppressing multiple immune evasion mechanisms are increasingly contemplated. To better understand immune cell surveillance and diverse immune evasion responses in tumor tissues, we comprehensively characterized the immune landscape of more than 1,000 tumors across ten different cancers using CPTAC pan-cancer proteogenomic data. We identified seven distinct immune subtypes based on integrative learning of cell type compositions and pathway activities. We then thoroughly categorized unique genomic, epigenetic, transcriptomic, and proteomic changes associated with each subtype. Further leveraging the deep phosphoproteomic data, we studied kinase activities in different immune subtypes, which revealed potential subtype-specific therapeutic targets. Insights from this work will facilitate the development of future immunotherapy strategies and enhance precision targeting with existing agents | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a histopathology | |
| 650 | 4 | |a immune subtype | |
| 650 | 4 | |a immunotherapy | |
| 650 | 4 | |a kinase activity | |
| 650 | 4 | |a multiomic deconvolution | |
| 650 | 4 | |a proteogenomics | |
| 650 | 4 | |a tumor immunity | |
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| 700 | 1 | |a Yaron, Tomer M |e verfasserin |4 aut | |
| 700 | 1 | |a Caruso, Francesca Pia |e verfasserin |4 aut | |
| 700 | 1 | |a Tignor, Nicole |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Joshua M |e verfasserin |4 aut | |
| 700 | 1 | |a Charytonowicz, Daniel |e verfasserin |4 aut | |
| 700 | 1 | |a Johnson, Jared L |e verfasserin |4 aut | |
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| 700 | 1 | |a Marino, Giacomo B |e verfasserin |4 aut | |
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| 700 | 1 | |a Wiznerowicz, Maciej |e verfasserin |4 aut | |
| 700 | 1 | |a González-Robles, Tania J |e verfasserin |4 aut | |
| 700 | 1 | |a Iavarone, Antonio |e verfasserin |4 aut | |
| 700 | 1 | |a Gosline, Sara J C |e verfasserin |4 aut | |
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| 700 | 1 | |a Omenn, Gilbert S |e verfasserin |4 aut | |
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| 700 | 1 | |a Ceccarelli, Michele |e verfasserin |4 aut | |
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| 700 | 0 | |a Clinical Proteomic Tumor Analysis Consortium |e verfasserin |4 aut | |
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| 700 | 1 | |a Carr, Steven A |e investigator |4 oth | |
| 700 | 1 | |a Chan, Daniel W |e investigator |4 oth | |
| 700 | 1 | |a Chinnaiyan, Arul M |e investigator |4 oth | |
| 700 | 1 | |a Cho, Hanbyul |e investigator |4 oth | |
| 700 | 1 | |a Clauser, Karl |e investigator |4 oth | |
| 700 | 1 | |a Colaprico, Antonio |e investigator |4 oth | |
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| 700 | 1 | |a Dhanasekaran, Saravana M |e investigator |4 oth | |
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| 700 | 1 | |a Ji, Jiayi |e investigator |4 oth | |
| 700 | 1 | |a Jiang, Wen |e investigator |4 oth | |
| 700 | 1 | |a Katsnelson, Lizabeth |e investigator |4 oth | |
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| 700 | 1 | |a Kolodziejczak, Iga |e investigator |4 oth | |
| 700 | 1 | |a Krug, Karsten |e investigator |4 oth | |
| 700 | 1 | |a Kumar-Sinha, Chandan |e investigator |4 oth | |
| 700 | 1 | |a Lei, Jonathan T |e investigator |4 oth | |
| 700 | 1 | |a Liang, Wen-Wei |e investigator |4 oth | |
| 700 | 1 | |a Liao, Yuxing |e investigator |4 oth | |
| 700 | 1 | |a Lindgren, Caleb M |e investigator |4 oth | |
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