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Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment
BACKGROUND: The crosstalk between cancer and the tumour immune microenvironment (TIME) has attracted significant interest in the latest years because of its impact on cancer evolution and response to treatment. Despite this, cancer-specific tumour-TIME interactions and their mechanistic insights are...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240791/ https://www.ncbi.nlm.nih.gov/pubmed/37277866 http://dx.doi.org/10.1186/s13073-023-01197-0 |
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author | Misetic, Hrvoje Keddar, Mohamed Reda Jeannon, Jean-Pierre Ciccarelli, Francesca D. |
author_facet | Misetic, Hrvoje Keddar, Mohamed Reda Jeannon, Jean-Pierre Ciccarelli, Francesca D. |
author_sort | Misetic, Hrvoje |
collection | PubMed |
description | BACKGROUND: The crosstalk between cancer and the tumour immune microenvironment (TIME) has attracted significant interest in the latest years because of its impact on cancer evolution and response to treatment. Despite this, cancer-specific tumour-TIME interactions and their mechanistic insights are still poorly understood. METHODS: Here, we compute the significant interactions occurring between cancer-specific genetic drivers and five anti- and pro-tumour TIME features in 32 cancer types using Lasso regularised ordinal regression. Focusing on head and neck squamous cancer (HNSC), we rebuild the functional networks linking specific TIME driver alterations to the TIME state they associate with. RESULTS: The 477 TIME drivers that we identify are multifunctional genes whose alterations are selected early in cancer evolution and recur across and within cancer types. Tumour suppressors and oncogenes have an opposite effect on the TIME and the overall anti-tumour TIME driver burden is predictive of response to immunotherapy. TIME driver alterations predict the immune profiles of HNSC molecular subtypes, and perturbations in keratinization, apoptosis and interferon signalling underpin specific driver-TIME interactions. CONCLUSIONS: Overall, our study delivers a comprehensive resource of TIME drivers, gives mechanistic insights into their immune-regulatory role, and provides an additional framework for patient prioritisation to immunotherapy. The full list of TIME drivers and associated properties are available at http://www.network-cancer-genes.org. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01197-0. |
format | Online Article Text |
id | pubmed-10240791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102407912023-06-06 Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment Misetic, Hrvoje Keddar, Mohamed Reda Jeannon, Jean-Pierre Ciccarelli, Francesca D. Genome Med Research BACKGROUND: The crosstalk between cancer and the tumour immune microenvironment (TIME) has attracted significant interest in the latest years because of its impact on cancer evolution and response to treatment. Despite this, cancer-specific tumour-TIME interactions and their mechanistic insights are still poorly understood. METHODS: Here, we compute the significant interactions occurring between cancer-specific genetic drivers and five anti- and pro-tumour TIME features in 32 cancer types using Lasso regularised ordinal regression. Focusing on head and neck squamous cancer (HNSC), we rebuild the functional networks linking specific TIME driver alterations to the TIME state they associate with. RESULTS: The 477 TIME drivers that we identify are multifunctional genes whose alterations are selected early in cancer evolution and recur across and within cancer types. Tumour suppressors and oncogenes have an opposite effect on the TIME and the overall anti-tumour TIME driver burden is predictive of response to immunotherapy. TIME driver alterations predict the immune profiles of HNSC molecular subtypes, and perturbations in keratinization, apoptosis and interferon signalling underpin specific driver-TIME interactions. CONCLUSIONS: Overall, our study delivers a comprehensive resource of TIME drivers, gives mechanistic insights into their immune-regulatory role, and provides an additional framework for patient prioritisation to immunotherapy. The full list of TIME drivers and associated properties are available at http://www.network-cancer-genes.org. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01197-0. BioMed Central 2023-06-05 /pmc/articles/PMC10240791/ /pubmed/37277866 http://dx.doi.org/10.1186/s13073-023-01197-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Misetic, Hrvoje Keddar, Mohamed Reda Jeannon, Jean-Pierre Ciccarelli, Francesca D. Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
title | Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
title_full | Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
title_fullStr | Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
title_full_unstemmed | Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
title_short | Mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
title_sort | mechanistic insights into the interactions between cancer drivers and the tumour immune microenvironment |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240791/ https://www.ncbi.nlm.nih.gov/pubmed/37277866 http://dx.doi.org/10.1186/s13073-023-01197-0 |
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