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Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study

Non-clear renal cell carcinomas (nccRCCs) are less frequent in kidney cancer with histopathological heterogeneity. A better understanding of the tumor biology of nccRCC can provide more effective treatment paradigms for different subtypes. To reveal the heterogeneity of tumor microenvironment (TME)...

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Autores principales: Chen, Wen-jin, Cao, Hao, Cao, Jian-wei, Zuo, Li, Qu, Fa-jun, Xu, Da, Zhang, Hao, Gong, Hai-yi, Chen, Jia-xin, Ye, Jian-qing, Gan, Si-shun, Zhou, Wang, Zhu, Da-wei, Pan, Xiu-Wu, Cui, Xin-gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752784/
https://www.ncbi.nlm.nih.gov/pubmed/35017463
http://dx.doi.org/10.1038/s41419-022-04501-9
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author Chen, Wen-jin
Cao, Hao
Cao, Jian-wei
Zuo, Li
Qu, Fa-jun
Xu, Da
Zhang, Hao
Gong, Hai-yi
Chen, Jia-xin
Ye, Jian-qing
Gan, Si-shun
Zhou, Wang
Zhu, Da-wei
Pan, Xiu-Wu
Cui, Xin-gang
author_facet Chen, Wen-jin
Cao, Hao
Cao, Jian-wei
Zuo, Li
Qu, Fa-jun
Xu, Da
Zhang, Hao
Gong, Hai-yi
Chen, Jia-xin
Ye, Jian-qing
Gan, Si-shun
Zhou, Wang
Zhu, Da-wei
Pan, Xiu-Wu
Cui, Xin-gang
author_sort Chen, Wen-jin
collection PubMed
description Non-clear renal cell carcinomas (nccRCCs) are less frequent in kidney cancer with histopathological heterogeneity. A better understanding of the tumor biology of nccRCC can provide more effective treatment paradigms for different subtypes. To reveal the heterogeneity of tumor microenvironment (TME) in nccRCC, we performed 10x sing-cell genomics on tumor and normal tissues from patients with papillary renal cell carcinoma (pRCC), chromophobe RCC (chrRCC), collecting duct carcinoma (CDRCC) and sarcomatoid RCC (sarRCC). 15 tissue samples were finally included. 34561 cells were identified as 16 major cell clusters with 34 cell subtypes. Our study presented the sing-cell landscape for four types of nccRCC, and demonstrated that CD8+ T cells exhaustion, tumor-associated macrophages (TAMs) and sarcomatoid process were the pivotal factors in immunosuppression of nccRCC tissues and were closely correlated with poor prognosis. Abnormal metabolic patterns were present in both cancer cells and tumor-infiltrating stromal cells, such as fibroblasts and endothelial cells. Combined with CIBERSORTx tool, the expression data of bulk RNA-seq from TCGA were labeled with cell types of our sing-cell data. Calculation of the relative abundance of cell types revealed that greater proportion of exhausted CD8+ T cells, TAMs and sarRCC derived cells were correlated with poor prognosis in the cohort of 274 nccRCC patients. To the best of our knowledge, this is the first study that provides a more comprehensive sight about the heterogeneity and tumor biology of nccRCC, which may potentially facilitate the development of more effective therapies for nccRCC.
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spelling pubmed-87527842022-01-20 Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study Chen, Wen-jin Cao, Hao Cao, Jian-wei Zuo, Li Qu, Fa-jun Xu, Da Zhang, Hao Gong, Hai-yi Chen, Jia-xin Ye, Jian-qing Gan, Si-shun Zhou, Wang Zhu, Da-wei Pan, Xiu-Wu Cui, Xin-gang Cell Death Dis Article Non-clear renal cell carcinomas (nccRCCs) are less frequent in kidney cancer with histopathological heterogeneity. A better understanding of the tumor biology of nccRCC can provide more effective treatment paradigms for different subtypes. To reveal the heterogeneity of tumor microenvironment (TME) in nccRCC, we performed 10x sing-cell genomics on tumor and normal tissues from patients with papillary renal cell carcinoma (pRCC), chromophobe RCC (chrRCC), collecting duct carcinoma (CDRCC) and sarcomatoid RCC (sarRCC). 15 tissue samples were finally included. 34561 cells were identified as 16 major cell clusters with 34 cell subtypes. Our study presented the sing-cell landscape for four types of nccRCC, and demonstrated that CD8+ T cells exhaustion, tumor-associated macrophages (TAMs) and sarcomatoid process were the pivotal factors in immunosuppression of nccRCC tissues and were closely correlated with poor prognosis. Abnormal metabolic patterns were present in both cancer cells and tumor-infiltrating stromal cells, such as fibroblasts and endothelial cells. Combined with CIBERSORTx tool, the expression data of bulk RNA-seq from TCGA were labeled with cell types of our sing-cell data. Calculation of the relative abundance of cell types revealed that greater proportion of exhausted CD8+ T cells, TAMs and sarRCC derived cells were correlated with poor prognosis in the cohort of 274 nccRCC patients. To the best of our knowledge, this is the first study that provides a more comprehensive sight about the heterogeneity and tumor biology of nccRCC, which may potentially facilitate the development of more effective therapies for nccRCC. Nature Publishing Group UK 2022-01-11 /pmc/articles/PMC8752784/ /pubmed/35017463 http://dx.doi.org/10.1038/s41419-022-04501-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chen, Wen-jin
Cao, Hao
Cao, Jian-wei
Zuo, Li
Qu, Fa-jun
Xu, Da
Zhang, Hao
Gong, Hai-yi
Chen, Jia-xin
Ye, Jian-qing
Gan, Si-shun
Zhou, Wang
Zhu, Da-wei
Pan, Xiu-Wu
Cui, Xin-gang
Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
title Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
title_full Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
title_fullStr Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
title_full_unstemmed Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
title_short Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
title_sort heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752784/
https://www.ncbi.nlm.nih.gov/pubmed/35017463
http://dx.doi.org/10.1038/s41419-022-04501-9
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