Cargando…

Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, and it is the major cause of kidney cancer death. Understanding tumor immune microenvironments (TMEs) is critical in cancer immunotherapies. Here, we studied the immune characterization at single-cell resolution by...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jie, Xu, Jiangfan, Zhang, Tong, Xu, Kailong, Bao, Peihua, Zhang, Zhibo, Xue, Kaiwen, He, Ruyi, Ma, Lixin, Wang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263726/
https://www.ncbi.nlm.nih.gov/pubmed/35812372
http://dx.doi.org/10.3389/fimmu.2022.791158
_version_ 1784742803997196288
author Liu, Jie
Xu, Jiangfan
Zhang, Tong
Xu, Kailong
Bao, Peihua
Zhang, Zhibo
Xue, Kaiwen
He, Ruyi
Ma, Lixin
Wang, Yang
author_facet Liu, Jie
Xu, Jiangfan
Zhang, Tong
Xu, Kailong
Bao, Peihua
Zhang, Zhibo
Xue, Kaiwen
He, Ruyi
Ma, Lixin
Wang, Yang
author_sort Liu, Jie
collection PubMed
description Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, and it is the major cause of kidney cancer death. Understanding tumor immune microenvironments (TMEs) is critical in cancer immunotherapies. Here, we studied the immune characterization at single-cell resolution by integrating public data of ccRCC across different tissue types, and comparing the transcriptome features and tumor TME differences in tumors, normal adjacent tissue, and peripheral blood. A total of 16 different types of cell components of ccRCC were identified. We revealed that there is an overall increase in T-cell and myeloid populations in tumor-infiltrated immune cells compared to normal renal tissue, and the B-cell population in the tumor showed a sharp decrease, which indicates that the cells in tumor tissue undergo strong immune stress. In addition, the cell–cell communication analysis revealed specific or conserved signals in different tissue types, which may aid to uncover the distinct immune response. By combining and analyzing publicly available ccRCC bulk RNA-seq datasets, 10 genes were identified as marker genes in specific cell types, which were significantly associated with poor prognosis. Of note, UBE2C, which may be a good indicator of tumor proliferation, is positively associated with reductions in overall survival and highly associated with tumor grade. Our integrated analysis provides single-cell transcriptomic profiling of ccRCC and their TME, and it unmasked new correlations between gene expression, survival outcomes, and immune cell-type components, enabling us to dissect the dynamic variables in the tumor development process. This resource provides deeper insight into the transcriptome features and immune response of ccRCC and will be helpful in kidney cancer immunotherapy.
format Online
Article
Text
id pubmed-9263726
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92637262022-07-09 Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy Liu, Jie Xu, Jiangfan Zhang, Tong Xu, Kailong Bao, Peihua Zhang, Zhibo Xue, Kaiwen He, Ruyi Ma, Lixin Wang, Yang Front Immunol Immunology Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, and it is the major cause of kidney cancer death. Understanding tumor immune microenvironments (TMEs) is critical in cancer immunotherapies. Here, we studied the immune characterization at single-cell resolution by integrating public data of ccRCC across different tissue types, and comparing the transcriptome features and tumor TME differences in tumors, normal adjacent tissue, and peripheral blood. A total of 16 different types of cell components of ccRCC were identified. We revealed that there is an overall increase in T-cell and myeloid populations in tumor-infiltrated immune cells compared to normal renal tissue, and the B-cell population in the tumor showed a sharp decrease, which indicates that the cells in tumor tissue undergo strong immune stress. In addition, the cell–cell communication analysis revealed specific or conserved signals in different tissue types, which may aid to uncover the distinct immune response. By combining and analyzing publicly available ccRCC bulk RNA-seq datasets, 10 genes were identified as marker genes in specific cell types, which were significantly associated with poor prognosis. Of note, UBE2C, which may be a good indicator of tumor proliferation, is positively associated with reductions in overall survival and highly associated with tumor grade. Our integrated analysis provides single-cell transcriptomic profiling of ccRCC and their TME, and it unmasked new correlations between gene expression, survival outcomes, and immune cell-type components, enabling us to dissect the dynamic variables in the tumor development process. This resource provides deeper insight into the transcriptome features and immune response of ccRCC and will be helpful in kidney cancer immunotherapy. Frontiers Media S.A. 2022-06-24 /pmc/articles/PMC9263726/ /pubmed/35812372 http://dx.doi.org/10.3389/fimmu.2022.791158 Text en Copyright © 2022 Liu, Xu, Zhang, Xu, Bao, Zhang, Xue, He, Ma 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 Immunology
Liu, Jie
Xu, Jiangfan
Zhang, Tong
Xu, Kailong
Bao, Peihua
Zhang, Zhibo
Xue, Kaiwen
He, Ruyi
Ma, Lixin
Wang, Yang
Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
title Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
title_full Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
title_fullStr Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
title_full_unstemmed Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
title_short Decoding the Immune Microenvironment of Clear Cell Renal Cell Carcinoma by Single-Cell Profiling to Aid Immunotherapy
title_sort decoding the immune microenvironment of clear cell renal cell carcinoma by single-cell profiling to aid immunotherapy
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263726/
https://www.ncbi.nlm.nih.gov/pubmed/35812372
http://dx.doi.org/10.3389/fimmu.2022.791158
work_keys_str_mv AT liujie decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT xujiangfan decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT zhangtong decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT xukailong decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT baopeihua decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT zhangzhibo decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT xuekaiwen decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT heruyi decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT malixin decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy
AT wangyang decodingtheimmunemicroenvironmentofclearcellrenalcellcarcinomabysinglecellprofilingtoaidimmunotherapy