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Mapping the immune environment in clear cell renal carcinoma by single-cell genomics
Clear cell renal cell carcinoma (ccRCC) is one of the most immunologically distinct tumor types due to high response rate to immunotherapies, despite low tumor mutational burden. To characterize the tumor immune microenvironment of ccRCC, we applied single-cell-RNA sequencing (SCRS) along with T-cel...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840906/ https://www.ncbi.nlm.nih.gov/pubmed/33504936 http://dx.doi.org/10.1038/s42003-020-01625-6 |
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author | Borcherding, Nicholas Vishwakarma, Ajaykumar Voigt, Andrew P. Bellizzi, Andrew Kaplan, Jacob Nepple, Kenneth Salem, Aliasger K. Jenkins, Russell W. Zakharia, Yousef Zhang, Weizhou |
author_facet | Borcherding, Nicholas Vishwakarma, Ajaykumar Voigt, Andrew P. Bellizzi, Andrew Kaplan, Jacob Nepple, Kenneth Salem, Aliasger K. Jenkins, Russell W. Zakharia, Yousef Zhang, Weizhou |
author_sort | Borcherding, Nicholas |
collection | PubMed |
description | Clear cell renal cell carcinoma (ccRCC) is one of the most immunologically distinct tumor types due to high response rate to immunotherapies, despite low tumor mutational burden. To characterize the tumor immune microenvironment of ccRCC, we applied single-cell-RNA sequencing (SCRS) along with T-cell-receptor (TCR) sequencing to map the transcriptomic heterogeneity of 25,688 individual CD45(+) lymphoid and myeloid cells in matched tumor and blood from three patients with ccRCC. We also included 11,367 immune cells from four other individuals derived from the kidney and peripheral blood to facilitate the identification and assessment of ccRCC-specific differences. There is an overall increase in CD8(+) T-cell and macrophage populations in tumor-infiltrated immune cells compared to normal renal tissue. We further demonstrate the divergent cell transcriptional states for tumor-infiltrating CD8(+) T cells and identify a MKI67 + proliferative subpopulation being a potential culprit for the progression of ccRCC. Using the SCRS gene expression, we found preferential prediction of clinical outcomes and pathological diseases by subcluster assignment. With further characterization and functional validation, our findings may reveal certain subpopulations of immune cells amenable to therapeutic intervention. |
format | Online Article Text |
id | pubmed-7840906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78409062021-01-29 Mapping the immune environment in clear cell renal carcinoma by single-cell genomics Borcherding, Nicholas Vishwakarma, Ajaykumar Voigt, Andrew P. Bellizzi, Andrew Kaplan, Jacob Nepple, Kenneth Salem, Aliasger K. Jenkins, Russell W. Zakharia, Yousef Zhang, Weizhou Commun Biol Article Clear cell renal cell carcinoma (ccRCC) is one of the most immunologically distinct tumor types due to high response rate to immunotherapies, despite low tumor mutational burden. To characterize the tumor immune microenvironment of ccRCC, we applied single-cell-RNA sequencing (SCRS) along with T-cell-receptor (TCR) sequencing to map the transcriptomic heterogeneity of 25,688 individual CD45(+) lymphoid and myeloid cells in matched tumor and blood from three patients with ccRCC. We also included 11,367 immune cells from four other individuals derived from the kidney and peripheral blood to facilitate the identification and assessment of ccRCC-specific differences. There is an overall increase in CD8(+) T-cell and macrophage populations in tumor-infiltrated immune cells compared to normal renal tissue. We further demonstrate the divergent cell transcriptional states for tumor-infiltrating CD8(+) T cells and identify a MKI67 + proliferative subpopulation being a potential culprit for the progression of ccRCC. Using the SCRS gene expression, we found preferential prediction of clinical outcomes and pathological diseases by subcluster assignment. With further characterization and functional validation, our findings may reveal certain subpopulations of immune cells amenable to therapeutic intervention. Nature Publishing Group UK 2021-01-27 /pmc/articles/PMC7840906/ /pubmed/33504936 http://dx.doi.org/10.1038/s42003-020-01625-6 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Borcherding, Nicholas Vishwakarma, Ajaykumar Voigt, Andrew P. Bellizzi, Andrew Kaplan, Jacob Nepple, Kenneth Salem, Aliasger K. Jenkins, Russell W. Zakharia, Yousef Zhang, Weizhou Mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
title | Mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
title_full | Mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
title_fullStr | Mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
title_full_unstemmed | Mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
title_short | Mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
title_sort | mapping the immune environment in clear cell renal carcinoma by single-cell genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840906/ https://www.ncbi.nlm.nih.gov/pubmed/33504936 http://dx.doi.org/10.1038/s42003-020-01625-6 |
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