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Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment

BACKGROUND: Human papillomavirus-positive (HPV+) cervical cancers are highly heterogeneous in clinical and molecular characteristics. Thus, an investigation into their heterogeneous immunological profiles is meaningful in providing both biological and clinical insights into this disease. METHODS: Ba...

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Autores principales: Song, Guanghui, Luo, Jiangti, Zou, Shaohan, Lou, Fang, Zhang, Tianfang, Zhu, Xiaojun, Yang, Jianhua, Wang, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531689/
https://www.ncbi.nlm.nih.gov/pubmed/36203656
http://dx.doi.org/10.3389/fpubh.2022.979933
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author Song, Guanghui
Luo, Jiangti
Zou, Shaohan
Lou, Fang
Zhang, Tianfang
Zhu, Xiaojun
Yang, Jianhua
Wang, Xiaosheng
author_facet Song, Guanghui
Luo, Jiangti
Zou, Shaohan
Lou, Fang
Zhang, Tianfang
Zhu, Xiaojun
Yang, Jianhua
Wang, Xiaosheng
author_sort Song, Guanghui
collection PubMed
description BACKGROUND: Human papillomavirus-positive (HPV+) cervical cancers are highly heterogeneous in clinical and molecular characteristics. Thus, an investigation into their heterogeneous immunological profiles is meaningful in providing both biological and clinical insights into this disease. METHODS: Based on the enrichment of 29 immune signatures, we discovered immune subtypes of HPV+ cervical cancers by hierarchical clustering. To explore whether this subtyping method is reproducible, we analyzed three bulk and one single cell transcriptomic datasets. We also compared clinical and molecular characteristics between the immune subtypes. RESULTS: Clustering analysis identified two immune subtypes of HPV+ cervical cancers: Immunity-H and Immunity-L, consistent in the four datasets. In comparisons with Immunity-L, Immunity-H displayed stronger immunity, more stromal contents, lower tumor purity, proliferation potential, intratumor heterogeneity and stemness, higher tumor mutation burden, more neoantigens, lower levels of copy number alterations, lower DNA repair activity, as well as better overall survival prognosis. Certain genes, such as MUC17, PCLO, and GOLGB1, showed significantly higher mutation rates in Immunity-L than in Immunity-H. 16 proteins were significantly upregulated in Immunity-H vs. Immunity-L, including Caspase-7, PREX1, Lck, C-Raf, PI3K-p85, Syk, 14-3-3_epsilon, STAT5-α, GATA3, Src_pY416, NDRG1_pT346, Notch1, PDK1_pS241, Bim, NF-kB-p65_pS536, and p53. Pathway analysis identified numerous immune-related pathways more highly enriched in Immunity-H vs. Immunity-L, including cytokine-cytokine receptor interaction, natural killer cell-mediated cytotoxicity, antigen processing and presentation, T/B cell receptor signaling, chemokine signaling, supporting the stronger antitumor immunity in Immunity-H vs. Immunity-L. CONCLUSION: HPV+ cervical cancers are divided into two subgroups based on their immune signatures' enrichment. Both subgroups have markedly different tumor immunity, progression phenotypes, genomic features, and clinical outcomes. Our data offer novel perception in the tumor biology as well as clinical implications for HPV+ cervical cancer.
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spelling pubmed-95316892022-10-05 Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment Song, Guanghui Luo, Jiangti Zou, Shaohan Lou, Fang Zhang, Tianfang Zhu, Xiaojun Yang, Jianhua Wang, Xiaosheng Front Public Health Public Health BACKGROUND: Human papillomavirus-positive (HPV+) cervical cancers are highly heterogeneous in clinical and molecular characteristics. Thus, an investigation into their heterogeneous immunological profiles is meaningful in providing both biological and clinical insights into this disease. METHODS: Based on the enrichment of 29 immune signatures, we discovered immune subtypes of HPV+ cervical cancers by hierarchical clustering. To explore whether this subtyping method is reproducible, we analyzed three bulk and one single cell transcriptomic datasets. We also compared clinical and molecular characteristics between the immune subtypes. RESULTS: Clustering analysis identified two immune subtypes of HPV+ cervical cancers: Immunity-H and Immunity-L, consistent in the four datasets. In comparisons with Immunity-L, Immunity-H displayed stronger immunity, more stromal contents, lower tumor purity, proliferation potential, intratumor heterogeneity and stemness, higher tumor mutation burden, more neoantigens, lower levels of copy number alterations, lower DNA repair activity, as well as better overall survival prognosis. Certain genes, such as MUC17, PCLO, and GOLGB1, showed significantly higher mutation rates in Immunity-L than in Immunity-H. 16 proteins were significantly upregulated in Immunity-H vs. Immunity-L, including Caspase-7, PREX1, Lck, C-Raf, PI3K-p85, Syk, 14-3-3_epsilon, STAT5-α, GATA3, Src_pY416, NDRG1_pT346, Notch1, PDK1_pS241, Bim, NF-kB-p65_pS536, and p53. Pathway analysis identified numerous immune-related pathways more highly enriched in Immunity-H vs. Immunity-L, including cytokine-cytokine receptor interaction, natural killer cell-mediated cytotoxicity, antigen processing and presentation, T/B cell receptor signaling, chemokine signaling, supporting the stronger antitumor immunity in Immunity-H vs. Immunity-L. CONCLUSION: HPV+ cervical cancers are divided into two subgroups based on their immune signatures' enrichment. Both subgroups have markedly different tumor immunity, progression phenotypes, genomic features, and clinical outcomes. Our data offer novel perception in the tumor biology as well as clinical implications for HPV+ cervical cancer. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9531689/ /pubmed/36203656 http://dx.doi.org/10.3389/fpubh.2022.979933 Text en Copyright © 2022 Song, Luo, Zou, Lou, Zhang, Zhu, Yang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Song, Guanghui
Luo, Jiangti
Zou, Shaohan
Lou, Fang
Zhang, Tianfang
Zhu, Xiaojun
Yang, Jianhua
Wang, Xiaosheng
Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
title Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
title_full Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
title_fullStr Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
title_full_unstemmed Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
title_short Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
title_sort molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531689/
https://www.ncbi.nlm.nih.gov/pubmed/36203656
http://dx.doi.org/10.3389/fpubh.2022.979933
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