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Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors
We analyzed transcriptional data from 104 HPV+ (Human papillomavirus) HNSCC (head and neck squamous cell carcinoma) tumors together with two publicly available sources to identify highly robust transcriptional programs (modules) which could be detected consistently despite heterogeneous sequencing a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410762/ https://www.ncbi.nlm.nih.gov/pubmed/37523561 http://dx.doi.org/10.1073/pnas.2216532120 |
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author | Schrank, Travis P. Kothari, Aditi Weir, William H. Stepp, Wesley H. Rehmani, Hina Liu, Xinyi Wang, Xiaowei Sewell, Andrew Li, Xue Tasoulas, Jason Kim, Sulgi Yarbrough, Gray Xie, Yue Flamand, Yael Marur, Shanthi Hayward, Michele C. Wu, Di Burtness, Barbara Anderson, Karen S. Baldwin, Albert S. Yarbrough, Wendell G. Issaeva, Natalia |
author_facet | Schrank, Travis P. Kothari, Aditi Weir, William H. Stepp, Wesley H. Rehmani, Hina Liu, Xinyi Wang, Xiaowei Sewell, Andrew Li, Xue Tasoulas, Jason Kim, Sulgi Yarbrough, Gray Xie, Yue Flamand, Yael Marur, Shanthi Hayward, Michele C. Wu, Di Burtness, Barbara Anderson, Karen S. Baldwin, Albert S. Yarbrough, Wendell G. Issaeva, Natalia |
author_sort | Schrank, Travis P. |
collection | PubMed |
description | We analyzed transcriptional data from 104 HPV+ (Human papillomavirus) HNSCC (head and neck squamous cell carcinoma) tumors together with two publicly available sources to identify highly robust transcriptional programs (modules) which could be detected consistently despite heterogeneous sequencing and quantification methodologies. Among 22 modules identified, we found a single module that naturally subclassifies HPV+ HNSCC tumors based on a bimodal pattern of gene expression, clusters all atypical features of HPV+ HNSCC biology into a single subclass, and predicts patient outcome in four independent cohorts. The subclass-defining gene set was strongly correlated with Nuclear factor kappa B (NF-κB) target expression. Tumors with high expression of this NF-κB module were rarely associated with activating PIK3CA alterations or viral integration, and also expressed higher levels of HPHPV E2 and had decreased APOBEC mutagenesis. Alternatively, they harbored inactivating alterations of key regulators of NF-κB, TNF receptor associated factor 3 (TRAF3), and cylindromatosis (CYLD), as well as retinoblastoma protein (RB1). HPV+ HNSCC cells in culture with experimental depletion of TRAF3 or CYLD displayed increased expression of the subclass-defining genes, as well as robust radio-sensitization, thus recapitulating both the tumor transcriptional state and improved treatment response observed in patient data. Across all gene sets investigated, methylation to expression correlations were the strongest for the subclass-defining, NF-κB-related genes. Increased tumor-infiltrating CD4+ T cells and increased Estrogen receptors alpha (ERα) expression were identified in NF-κB active tumors. Based on the relatively high rates of cure in HPV+ HNSCC, deintensification of therapy to reduce treatment-related morbidity is being studied at many institutions. Tumor subclassification based on oncogenic subtypes may help guide the selection of therapeutic intensity or modality for patients with HPV+ HNSCC. |
format | Online Article Text |
id | pubmed-10410762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-104107622023-08-10 Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors Schrank, Travis P. Kothari, Aditi Weir, William H. Stepp, Wesley H. Rehmani, Hina Liu, Xinyi Wang, Xiaowei Sewell, Andrew Li, Xue Tasoulas, Jason Kim, Sulgi Yarbrough, Gray Xie, Yue Flamand, Yael Marur, Shanthi Hayward, Michele C. Wu, Di Burtness, Barbara Anderson, Karen S. Baldwin, Albert S. Yarbrough, Wendell G. Issaeva, Natalia Proc Natl Acad Sci U S A Biological Sciences We analyzed transcriptional data from 104 HPV+ (Human papillomavirus) HNSCC (head and neck squamous cell carcinoma) tumors together with two publicly available sources to identify highly robust transcriptional programs (modules) which could be detected consistently despite heterogeneous sequencing and quantification methodologies. Among 22 modules identified, we found a single module that naturally subclassifies HPV+ HNSCC tumors based on a bimodal pattern of gene expression, clusters all atypical features of HPV+ HNSCC biology into a single subclass, and predicts patient outcome in four independent cohorts. The subclass-defining gene set was strongly correlated with Nuclear factor kappa B (NF-κB) target expression. Tumors with high expression of this NF-κB module were rarely associated with activating PIK3CA alterations or viral integration, and also expressed higher levels of HPHPV E2 and had decreased APOBEC mutagenesis. Alternatively, they harbored inactivating alterations of key regulators of NF-κB, TNF receptor associated factor 3 (TRAF3), and cylindromatosis (CYLD), as well as retinoblastoma protein (RB1). HPV+ HNSCC cells in culture with experimental depletion of TRAF3 or CYLD displayed increased expression of the subclass-defining genes, as well as robust radio-sensitization, thus recapitulating both the tumor transcriptional state and improved treatment response observed in patient data. Across all gene sets investigated, methylation to expression correlations were the strongest for the subclass-defining, NF-κB-related genes. Increased tumor-infiltrating CD4+ T cells and increased Estrogen receptors alpha (ERα) expression were identified in NF-κB active tumors. Based on the relatively high rates of cure in HPV+ HNSCC, deintensification of therapy to reduce treatment-related morbidity is being studied at many institutions. Tumor subclassification based on oncogenic subtypes may help guide the selection of therapeutic intensity or modality for patients with HPV+ HNSCC. National Academy of Sciences 2023-07-31 2023-08-08 /pmc/articles/PMC10410762/ /pubmed/37523561 http://dx.doi.org/10.1073/pnas.2216532120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Biological Sciences Schrank, Travis P. Kothari, Aditi Weir, William H. Stepp, Wesley H. Rehmani, Hina Liu, Xinyi Wang, Xiaowei Sewell, Andrew Li, Xue Tasoulas, Jason Kim, Sulgi Yarbrough, Gray Xie, Yue Flamand, Yael Marur, Shanthi Hayward, Michele C. Wu, Di Burtness, Barbara Anderson, Karen S. Baldwin, Albert S. Yarbrough, Wendell G. Issaeva, Natalia Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors |
title | Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors |
title_full | Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors |
title_fullStr | Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors |
title_full_unstemmed | Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors |
title_short | Noncanonical HPV carcinogenesis drives radiosensitization of head and neck tumors |
title_sort | noncanonical hpv carcinogenesis drives radiosensitization of head and neck tumors |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410762/ https://www.ncbi.nlm.nih.gov/pubmed/37523561 http://dx.doi.org/10.1073/pnas.2216532120 |
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