Cargando…

Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq

BACKGROUND: Cervical squamous cell carcinoma (CSCC), caused by the infection of high‐risk human papillomavirus, is one of the most common malignancies in women worldwide. METHODS: RNA expression data, including those from the Cancer Genome Atlas, Gene Expression Omnibus, and Genotype‐Tissue Expressi...

Descripción completa

Detalles Bibliográficos
Autores principales: Yin, Ruiling, Zhai, Xiuming, Han, Hongyan, Tong, Xuedong, Li, Yan, Deng, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091987/
https://www.ncbi.nlm.nih.gov/pubmed/35634956
http://dx.doi.org/10.1002/iid3.608
_version_ 1784705044173553664
author Yin, Ruiling
Zhai, Xiuming
Han, Hongyan
Tong, Xuedong
Li, Yan
Deng, Kun
author_facet Yin, Ruiling
Zhai, Xiuming
Han, Hongyan
Tong, Xuedong
Li, Yan
Deng, Kun
author_sort Yin, Ruiling
collection PubMed
description BACKGROUND: Cervical squamous cell carcinoma (CSCC), caused by the infection of high‐risk human papillomavirus, is one of the most common malignancies in women worldwide. METHODS: RNA expression data, including those from the Cancer Genome Atlas, Gene Expression Omnibus, and Genotype‐Tissue Expression databases, were used to identify the expression of RNAs in normal and tumor tissue. Correlation analysis was performed to identify the immune‐related long noncoding RNAs (IRLs) and hypoxia‐related genes (IRHs) that can influence the activity of the immune system. Prognosis models of immune‐related RNAs (IRRs) were used to construct a coexpression network of the immune system. We identified the role of IRRs in immunotherapy by correlation analysis with immune checkpoint genes (ICGs). We then validated the expression data by integrating two single‐cell sequencing data sets of CSCC to identify the key immune features. RESULTS: In total, six immune‐related gene (IRG), four IRL, and five IRH signatures that can significantly influence the characteristics of the tumor immune microenvironment (TIME) were selected using machine learning methods. The expression level of ICGs was significantly upregulated in GZMB(+)CD8(+) T‐cells and tumor‐associated macrophages (TAMs) in tumor tissues. TGFBI(+) TAMs are a kind of blood‐derived monocyte‐derived M0‐like TAM linked to hypoxia and a poor prognosis. IFI30(+) M1‐like TAMs participate in the process of immune‐regulation and showed a role in the promotion of CD8(+) T‐cells and Type 1 T helper (Th1)/Th2 cells in the coexpression network, together with several IRLs, IRGs, and ICGs. CONCLUSIONS: CD16(+) monocyte‐derived IFI30(+) TAMs participated in our coexpression network to regulate the TIME, showing the potential to be a novel immunotherapy target. The enrichment of M0‐like TAMs was associated with a worse prognosis in the high‐risk score group with IRH signatures. Remarkably, M0‐like TAMs in tumor tissues overexpressed TGFBI and were associated with several well‐known tumor‐proliferation pathways.
format Online
Article
Text
id pubmed-9091987
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-90919872022-05-16 Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq Yin, Ruiling Zhai, Xiuming Han, Hongyan Tong, Xuedong Li, Yan Deng, Kun Immun Inflamm Dis Original Articles BACKGROUND: Cervical squamous cell carcinoma (CSCC), caused by the infection of high‐risk human papillomavirus, is one of the most common malignancies in women worldwide. METHODS: RNA expression data, including those from the Cancer Genome Atlas, Gene Expression Omnibus, and Genotype‐Tissue Expression databases, were used to identify the expression of RNAs in normal and tumor tissue. Correlation analysis was performed to identify the immune‐related long noncoding RNAs (IRLs) and hypoxia‐related genes (IRHs) that can influence the activity of the immune system. Prognosis models of immune‐related RNAs (IRRs) were used to construct a coexpression network of the immune system. We identified the role of IRRs in immunotherapy by correlation analysis with immune checkpoint genes (ICGs). We then validated the expression data by integrating two single‐cell sequencing data sets of CSCC to identify the key immune features. RESULTS: In total, six immune‐related gene (IRG), four IRL, and five IRH signatures that can significantly influence the characteristics of the tumor immune microenvironment (TIME) were selected using machine learning methods. The expression level of ICGs was significantly upregulated in GZMB(+)CD8(+) T‐cells and tumor‐associated macrophages (TAMs) in tumor tissues. TGFBI(+) TAMs are a kind of blood‐derived monocyte‐derived M0‐like TAM linked to hypoxia and a poor prognosis. IFI30(+) M1‐like TAMs participate in the process of immune‐regulation and showed a role in the promotion of CD8(+) T‐cells and Type 1 T helper (Th1)/Th2 cells in the coexpression network, together with several IRLs, IRGs, and ICGs. CONCLUSIONS: CD16(+) monocyte‐derived IFI30(+) TAMs participated in our coexpression network to regulate the TIME, showing the potential to be a novel immunotherapy target. The enrichment of M0‐like TAMs was associated with a worse prognosis in the high‐risk score group with IRH signatures. Remarkably, M0‐like TAMs in tumor tissues overexpressed TGFBI and were associated with several well‐known tumor‐proliferation pathways. John Wiley and Sons Inc. 2022-05-11 /pmc/articles/PMC9091987/ /pubmed/35634956 http://dx.doi.org/10.1002/iid3.608 Text en © 2022 The Authors. Immunity, Inflammation and Disease published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Yin, Ruiling
Zhai, Xiuming
Han, Hongyan
Tong, Xuedong
Li, Yan
Deng, Kun
Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq
title Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq
title_full Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq
title_fullStr Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq
title_full_unstemmed Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq
title_short Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and RNA‐Seq
title_sort characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single‐cell transcriptomics and rna‐seq
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091987/
https://www.ncbi.nlm.nih.gov/pubmed/35634956
http://dx.doi.org/10.1002/iid3.608
work_keys_str_mv AT yinruiling characterizingthelandscapeofcervicalsquamouscellcarcinomaimmunemicroenvironmentbyintegratingthesinglecelltranscriptomicsandrnaseq
AT zhaixiuming characterizingthelandscapeofcervicalsquamouscellcarcinomaimmunemicroenvironmentbyintegratingthesinglecelltranscriptomicsandrnaseq
AT hanhongyan characterizingthelandscapeofcervicalsquamouscellcarcinomaimmunemicroenvironmentbyintegratingthesinglecelltranscriptomicsandrnaseq
AT tongxuedong characterizingthelandscapeofcervicalsquamouscellcarcinomaimmunemicroenvironmentbyintegratingthesinglecelltranscriptomicsandrnaseq
AT liyan characterizingthelandscapeofcervicalsquamouscellcarcinomaimmunemicroenvironmentbyintegratingthesinglecelltranscriptomicsandrnaseq
AT dengkun characterizingthelandscapeofcervicalsquamouscellcarcinomaimmunemicroenvironmentbyintegratingthesinglecelltranscriptomicsandrnaseq