Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes
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...
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doaj-1b8e146d93fb404fb2a625bebc77f5e52020-11-25T02:44:52ZengMDPI AGCancers2072-66942020-10-01122935293510.3390/cancers12102935Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant LandscapesHui Li0Hoi-Lam Ngan1Yuchen Liu2Helen Hoi Yin Chan3Peony Hiu Yan Poon4Chun Kit Yeung5Yibing Peng6Wai Yip Lam7Benjamin Xiaoyi Li8Yukai He9Vivian Wai Yan Lui10School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaDepartment of Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USALee’s Pharmaceutical (HK) Limited, Hong Kong Science Park, Hong Kong SAR, ChinaLee’s Pharmaceutical (HK) Limited, Hong Kong Science Park, Hong Kong SAR, ChinaDepartment of Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USASchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, ChinaImmunocompetent 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—<i>Trp53</i>, 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 <i>HLA-A</i> (<i>H2-Q10</i>, <i>H2-Q4</i>, <i>H2-Q7</i>, and <i>H2-K1</i>), <i>Pdcd1</i>, <i>Tgfb1</i>, <i>Il2ra</i>, <i>Il12a</i>, <i>Cd40</i>, and <i>Tnfrsf14</i> are identified. Invasion/metastatic genome analyses first highlight potential druggable <i>ERBB4</i> and <i>KRAS</i> mutations, for advanced/metastatic oral cavity cancer, as well as known metastasis players (<i>Muc5ac</i>, <i>Trem3</i>, <i>Trp53</i>, and <i>Ttn</i>) frequently captured by all models. Notable immunotherapy and precision druggable targets (<i>Pdcd1</i>, <i>Erbb4</i>, <i>Fgfr1</i>, <i>H</i>/<i>Kras</i>, <i>Jak1</i>, and <i>Map2k2</i>) 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.https://www.mdpi.com/2072-6694/12/10/2935AT-84SCC VIIwhole-exome sequencing analysisutility analyses5 immunocompetent metastatic HNC models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hui Li Hoi-Lam Ngan Yuchen Liu Helen Hoi Yin Chan Peony Hiu Yan Poon Chun Kit Yeung Yibing Peng Wai Yip Lam Benjamin Xiaoyi Li Yukai He Vivian Wai Yan Lui |
spellingShingle |
Hui Li Hoi-Lam Ngan Yuchen Liu Helen Hoi Yin Chan Peony Hiu Yan Poon Chun Kit Yeung Yibing Peng Wai Yip Lam Benjamin Xiaoyi Li Yukai He Vivian Wai Yan Lui Comprehensive Exome Analysis of Immunocompetent Metastatic Head and Neck Cancer Models Reveals Patient Relevant Landscapes Cancers AT-84 SCC VII whole-exome sequencing analysis utility analyses 5 immunocompetent metastatic HNC models |
author_facet |
Hui Li Hoi-Lam Ngan Yuchen Liu Helen Hoi Yin Chan Peony Hiu Yan Poon Chun Kit Yeung Yibing Peng Wai Yip Lam Benjamin Xiaoyi Li Yukai He Vivian Wai Yan Lui |
author_sort |
Hui Li |
title |
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_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_sort |
comprehensive exome analysis of immunocompetent metastatic head and neck cancer models reveals patient relevant landscapes |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2020-10-01 |
description |
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—<i>Trp53</i>, 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 <i>HLA-A</i> (<i>H2-Q10</i>, <i>H2-Q4</i>, <i>H2-Q7</i>, and <i>H2-K1</i>), <i>Pdcd1</i>, <i>Tgfb1</i>, <i>Il2ra</i>, <i>Il12a</i>, <i>Cd40</i>, and <i>Tnfrsf14</i> are identified. Invasion/metastatic genome analyses first highlight potential druggable <i>ERBB4</i> and <i>KRAS</i> mutations, for advanced/metastatic oral cavity cancer, as well as known metastasis players (<i>Muc5ac</i>, <i>Trem3</i>, <i>Trp53</i>, and <i>Ttn</i>) frequently captured by all models. Notable immunotherapy and precision druggable targets (<i>Pdcd1</i>, <i>Erbb4</i>, <i>Fgfr1</i>, <i>H</i>/<i>Kras</i>, <i>Jak1</i>, and <i>Map2k2</i>) 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. |
topic |
AT-84 SCC VII whole-exome sequencing analysis utility analyses 5 immunocompetent metastatic HNC models |
url |
https://www.mdpi.com/2072-6694/12/10/2935 |
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