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Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an immunologically and histologically diverse tumor. However, how the structural heterogeneity of tumor microenvironment (TME) affects cancer progression and treatment response remains unclear. Hence, we characterized the TME architectures of cc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360235/ https://www.ncbi.nlm.nih.gov/pubmed/37474942 http://dx.doi.org/10.1186/s12967-023-04336-8 |
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author | Zhang, Dawei Ni, Yuanli Wang, Yongquan Feng, Juan Zhuang, Na Li, Jiatao Liu, Limei Shen, Wenhao Zheng, Ji Zheng, Wei Qian, Cheng Shan, Juanjuan Zhou, Zhansong |
author_facet | Zhang, Dawei Ni, Yuanli Wang, Yongquan Feng, Juan Zhuang, Na Li, Jiatao Liu, Limei Shen, Wenhao Zheng, Ji Zheng, Wei Qian, Cheng Shan, Juanjuan Zhou, Zhansong |
author_sort | Zhang, Dawei |
collection | PubMed |
description | BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an immunologically and histologically diverse tumor. However, how the structural heterogeneity of tumor microenvironment (TME) affects cancer progression and treatment response remains unclear. Hence, we characterized the TME architectures of ccRCC tissues using imaging mass cytometry (IMC) and explored their associations with clinical outcome and therapeutic response. METHODS: Using IMC, we profiled the TME landscape of ccRCC and paracancerous tissue by measuring 17 markers involved in tissue architecture, immune cell and immune activation. In the ccRCC tissue, we identified distinct immune architectures of ccRCC tissue based on the mix score and performed cellular neighborhood (CN) analysis to subdivide TME phenotypes. Moreover, we assessed the relationship between the different TME phenotypes and ccRCC patient survival, clinical features and treatment response. RESULTS: We found that ccRCC tissues had higher levels of CD8(+) T cells, CD163(−) macrophages, Treg cells, endothelial cells, and fibroblasts than paracancerous tissues. Immune infiltrates in ccRCC tissues distinctly showed clustered and scattered patterns. Within the clustered pattern, we identified two subtypes with different clinical outcomes based on CN analysis. The TLS-like phenotype had cell communities resembling tertiary lymphoid structures, characterized by cell–cell interactions of CD8(+) T cells-B cells and GZMB(+)CD8(+) T cells-B cells, which exhibited anti-tumor features and favorable outcomes, while the Macrophage/T-clustered phenotype with macrophage- or T cell-dominated cell communities had a poor prognosis. Patients with scattered immune architecture could be further divided into scattered-CN-hot and scattered-CN-cold phenotypes based on the presence or absence of immune CNs, but both had a better prognosis than the macrophage/T-clustered phenotype. We further analyzed the relationship between the TME phenotypes and treatment response in five metastatic ccRCC patients treated with sunitinib, and found that all three responders were scattered-CN-hot phenotype while both non-responders were macrophage/T-clustered phenotype. CONCLUSION: Our study revealed the structural heterogeneity of TME in ccRCC and its impact on clinical outcome and personalized treatment. These findings highlight the potential of IMC and CN analysis for characterizing TME structural units in cancer research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04336-8. |
format | Online Article Text |
id | pubmed-10360235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103602352023-07-22 Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma Zhang, Dawei Ni, Yuanli Wang, Yongquan Feng, Juan Zhuang, Na Li, Jiatao Liu, Limei Shen, Wenhao Zheng, Ji Zheng, Wei Qian, Cheng Shan, Juanjuan Zhou, Zhansong J Transl Med Research BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an immunologically and histologically diverse tumor. However, how the structural heterogeneity of tumor microenvironment (TME) affects cancer progression and treatment response remains unclear. Hence, we characterized the TME architectures of ccRCC tissues using imaging mass cytometry (IMC) and explored their associations with clinical outcome and therapeutic response. METHODS: Using IMC, we profiled the TME landscape of ccRCC and paracancerous tissue by measuring 17 markers involved in tissue architecture, immune cell and immune activation. In the ccRCC tissue, we identified distinct immune architectures of ccRCC tissue based on the mix score and performed cellular neighborhood (CN) analysis to subdivide TME phenotypes. Moreover, we assessed the relationship between the different TME phenotypes and ccRCC patient survival, clinical features and treatment response. RESULTS: We found that ccRCC tissues had higher levels of CD8(+) T cells, CD163(−) macrophages, Treg cells, endothelial cells, and fibroblasts than paracancerous tissues. Immune infiltrates in ccRCC tissues distinctly showed clustered and scattered patterns. Within the clustered pattern, we identified two subtypes with different clinical outcomes based on CN analysis. The TLS-like phenotype had cell communities resembling tertiary lymphoid structures, characterized by cell–cell interactions of CD8(+) T cells-B cells and GZMB(+)CD8(+) T cells-B cells, which exhibited anti-tumor features and favorable outcomes, while the Macrophage/T-clustered phenotype with macrophage- or T cell-dominated cell communities had a poor prognosis. Patients with scattered immune architecture could be further divided into scattered-CN-hot and scattered-CN-cold phenotypes based on the presence or absence of immune CNs, but both had a better prognosis than the macrophage/T-clustered phenotype. We further analyzed the relationship between the TME phenotypes and treatment response in five metastatic ccRCC patients treated with sunitinib, and found that all three responders were scattered-CN-hot phenotype while both non-responders were macrophage/T-clustered phenotype. CONCLUSION: Our study revealed the structural heterogeneity of TME in ccRCC and its impact on clinical outcome and personalized treatment. These findings highlight the potential of IMC and CN analysis for characterizing TME structural units in cancer research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04336-8. BioMed Central 2023-07-20 /pmc/articles/PMC10360235/ /pubmed/37474942 http://dx.doi.org/10.1186/s12967-023-04336-8 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Dawei Ni, Yuanli Wang, Yongquan Feng, Juan Zhuang, Na Li, Jiatao Liu, Limei Shen, Wenhao Zheng, Ji Zheng, Wei Qian, Cheng Shan, Juanjuan Zhou, Zhansong Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
title | Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
title_full | Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
title_fullStr | Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
title_full_unstemmed | Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
title_short | Spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
title_sort | spatial heterogeneity of tumor microenvironment influences the prognosis of clear cell renal cell carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360235/ https://www.ncbi.nlm.nih.gov/pubmed/37474942 http://dx.doi.org/10.1186/s12967-023-04336-8 |
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