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Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes

SIMPLE SUMMARY: Head and neck cancer (HNC), once metastasized, is very difficult to treat as there are limited therapy options. Animal models of such can be very useful for preclinical drug development, including precision medicine and immunotherapy. By whole-exome analyses and functional annotation...

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Autores principales: Li, Hui, Ngan, Hoi-Lam, Liu, Yuchen, Chan, Helen Hoi Yin, Poon, Peony Hiu Yan, Yeung, Chun Kit, Peng, Yibing, Lam, Wai Yip, Li, Benjamin Xiaoyi, He, Yukai, Lui, Vivian Wai Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601118/
https://www.ncbi.nlm.nih.gov/pubmed/33053752
http://dx.doi.org/10.3390/cancers12102935
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author Li, Hui
Ngan, Hoi-Lam
Liu, Yuchen
Chan, Helen Hoi Yin
Poon, Peony Hiu Yan
Yeung, Chun Kit
Peng, Yibing
Lam, Wai Yip
Li, Benjamin Xiaoyi
He, Yukai
Lui, Vivian Wai Yan
author_facet Li, Hui
Ngan, Hoi-Lam
Liu, Yuchen
Chan, Helen Hoi Yin
Poon, Peony Hiu Yan
Yeung, Chun Kit
Peng, Yibing
Lam, Wai Yip
Li, Benjamin Xiaoyi
He, Yukai
Lui, Vivian Wai Yan
author_sort Li, Hui
collection PubMed
description SIMPLE SUMMARY: Head and neck cancer (HNC), once metastasized, is very difficult to treat as there are limited therapy options. Animal models of such can be very useful for preclinical drug development, including precision medicine and immunotherapy. By whole-exome analyses and functional annotation of five commonly used immune-intact metastatic models for HNC research, we aimed to fully annotate their genomic profiles on key cancer genes as well as signaling-, metastasis-, immune- and drug-related events, with direct comparisons with those of patient tumors. Our analyses revealed marked genomic similarities between these models and HNC patient tumors, and identified new potential drug targets for metastatic HNC. We suggest that more of such immune-relevant metastatic HNC models should be developed with full genomic annotations in order to enable preclinical research, and to accelerate precision medicine and immunotherapy development for this devastating cancer. ABSTRACT: Immunocompetent metastatic head and neck cancer (HNC) models, although scarce, can help understanding cancer progression and therapy responses in vivo. Their comprehensive genome characterizations are essential for translational research. We first exome-sequenced the two most widely used spontaneous metastatic immunocompetent models, namely AT-84 and SCC VII, followed by comprehensive genomic analyses with three prior-sequenced models (MOC2, MOC2-10, and 4MOSC2), together with patient tumors for utility assessment. AT-84 and SCC VII bear high HNC tumor resemblance regarding mutational signatures—Trp53, Fanconi anemia, and MAPK and PI3K pathway defects. Collectively, the five models harbor genetic aberrations across 10 cancer hallmarks and 14 signaling pathways and machineries (metabolic, epigenetic, immune evasion), to extents similar in patients. Immune defects in HLA-A (H2-Q10, H2-Q4, H2-Q7, and H2-K1), Pdcd1, Tgfb1, Il2ra, Il12a, Cd40, and Tnfrsf14 are identified. Invasion/metastatic genome analyses first highlight potential druggable ERBB4 and KRAS mutations, for advanced/metastatic oral cavity cancer, as well as known metastasis players (Muc5ac, Trem3, Trp53, and Ttn) frequently captured by all models. Notable immunotherapy and precision druggable targets (Pdcd1, Erbb4, Fgfr1, H/Kras, Jak1, and Map2k2) and three druggable hubs (RTK family, MAPK, and DNA repair pathways) are frequently represented by these models. Immunocompetent metastatic HNC models are worth developing to address therapy- and invasion/metastasis-related questions in host immunity contexts.
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spelling pubmed-76011182020-11-01 Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes Li, Hui Ngan, Hoi-Lam Liu, Yuchen Chan, Helen Hoi Yin Poon, Peony Hiu Yan Yeung, Chun Kit Peng, Yibing Lam, Wai Yip Li, Benjamin Xiaoyi He, Yukai Lui, Vivian Wai Yan Cancers (Basel) Article SIMPLE SUMMARY: Head and neck cancer (HNC), once metastasized, is very difficult to treat as there are limited therapy options. Animal models of such can be very useful for preclinical drug development, including precision medicine and immunotherapy. By whole-exome analyses and functional annotation of five commonly used immune-intact metastatic models for HNC research, we aimed to fully annotate their genomic profiles on key cancer genes as well as signaling-, metastasis-, immune- and drug-related events, with direct comparisons with those of patient tumors. Our analyses revealed marked genomic similarities between these models and HNC patient tumors, and identified new potential drug targets for metastatic HNC. We suggest that more of such immune-relevant metastatic HNC models should be developed with full genomic annotations in order to enable preclinical research, and to accelerate precision medicine and immunotherapy development for this devastating cancer. ABSTRACT: Immunocompetent metastatic head and neck cancer (HNC) models, although scarce, can help understanding cancer progression and therapy responses in vivo. Their comprehensive genome characterizations are essential for translational research. We first exome-sequenced the two most widely used spontaneous metastatic immunocompetent models, namely AT-84 and SCC VII, followed by comprehensive genomic analyses with three prior-sequenced models (MOC2, MOC2-10, and 4MOSC2), together with patient tumors for utility assessment. AT-84 and SCC VII bear high HNC tumor resemblance regarding mutational signatures—Trp53, Fanconi anemia, and MAPK and PI3K pathway defects. Collectively, the five models harbor genetic aberrations across 10 cancer hallmarks and 14 signaling pathways and machineries (metabolic, epigenetic, immune evasion), to extents similar in patients. Immune defects in HLA-A (H2-Q10, H2-Q4, H2-Q7, and H2-K1), Pdcd1, Tgfb1, Il2ra, Il12a, Cd40, and Tnfrsf14 are identified. Invasion/metastatic genome analyses first highlight potential druggable ERBB4 and KRAS mutations, for advanced/metastatic oral cavity cancer, as well as known metastasis players (Muc5ac, Trem3, Trp53, and Ttn) frequently captured by all models. Notable immunotherapy and precision druggable targets (Pdcd1, Erbb4, Fgfr1, H/Kras, Jak1, and Map2k2) and three druggable hubs (RTK family, MAPK, and DNA repair pathways) are frequently represented by these models. Immunocompetent metastatic HNC models are worth developing to address therapy- and invasion/metastasis-related questions in host immunity contexts. MDPI 2020-10-12 /pmc/articles/PMC7601118/ /pubmed/33053752 http://dx.doi.org/10.3390/cancers12102935 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Hui
Ngan, Hoi-Lam
Liu, Yuchen
Chan, Helen Hoi Yin
Poon, Peony Hiu Yan
Yeung, Chun Kit
Peng, Yibing
Lam, Wai Yip
Li, Benjamin Xiaoyi
He, Yukai
Lui, Vivian Wai Yan
Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
title Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
title_full Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
title_fullStr Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
title_full_unstemmed Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
title_short Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
title_sort comprehensive exome analysis of immunocompetent metastatic head and neck cancer models reveals patient relevant landscapes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601118/
https://www.ncbi.nlm.nih.gov/pubmed/33053752
http://dx.doi.org/10.3390/cancers12102935
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