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A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma

Renal cell carcinoma (RCC) is frequently infiltrated by immune cells, a process which is governed by chemokines. CD8(+) T cells in the RCC tumor microenvironment (TME) may be exhausted which most likely influence therapy response and survival. The aim of this study was to evaluate chemokine-driven T...

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Autores principales: Pichler, Renate, Siska, Peter J., Tymoszuk, Piotr, Martowicz, Agnieszka, Untergasser, Gerold, Mayr, Roman, Weber, Florian, Seeber, Andreas, Kocher, Florian, Barth, Dominik A., Pichler, Martin, Thurnher, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060976/
https://www.ncbi.nlm.nih.gov/pubmed/37006314
http://dx.doi.org/10.3389/fimmu.2023.1095195
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author Pichler, Renate
Siska, Peter J.
Tymoszuk, Piotr
Martowicz, Agnieszka
Untergasser, Gerold
Mayr, Roman
Weber, Florian
Seeber, Andreas
Kocher, Florian
Barth, Dominik A.
Pichler, Martin
Thurnher, Martin
author_facet Pichler, Renate
Siska, Peter J.
Tymoszuk, Piotr
Martowicz, Agnieszka
Untergasser, Gerold
Mayr, Roman
Weber, Florian
Seeber, Andreas
Kocher, Florian
Barth, Dominik A.
Pichler, Martin
Thurnher, Martin
author_sort Pichler, Renate
collection PubMed
description Renal cell carcinoma (RCC) is frequently infiltrated by immune cells, a process which is governed by chemokines. CD8(+) T cells in the RCC tumor microenvironment (TME) may be exhausted which most likely influence therapy response and survival. The aim of this study was to evaluate chemokine-driven T cell recruitment, T cell exhaustion in the RCC TME, as well as metabolic processes leading to their functional anergy in RCC. Eight publicly available bulk RCC transcriptome collectives (n=1819) and a single cell RNAseq dataset (n=12) were analyzed. Immunodeconvolution, semi-supervised clustering, gene set variation analysis and Monte Carlo-based modeling of metabolic reaction activity were employed. Among 28 chemokine genes available, CXCL9/10/11/CXCR3, CXCL13/CXCR5 and XCL1/XCR1 mRNA expression were significantly increased in RCC compared to normal kidney tissue and also strongly associated with tumor-infiltrating effector memory and central memory CD8(+) T cells in all investigated collectives. M1 TAMs, T cells, NK cells as well as tumor cells were identified as the major sources of these chemokines, whereas T cells, B cells and dendritic cells were found to predominantly express the cognate receptors. The cluster of RCCs characterized by high chemokine expression and high CD8(+) T cell infiltration displayed a strong activation of IFN/JAK/STAT signaling with elevated expression of multiple T cell exhaustion-associated transcripts. Chemokine(high) RCCs were characterized by metabolic reprogramming, in particular by downregulated OXPHOS and increased IDO1-mediated tryptophan degradation. None of the investigated chemokine genes was significantly associated with survival or response to immunotherapy. We propose a chemokine network that mediates CD8(+) T cell recruitment and identify T cell exhaustion, altered energy metabolism and high IDO1 activity as key mechanisms of their suppression. Concomitant targeting of exhaustion pathways and metabolism may pose an effective approach to RCC therapy.
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spelling pubmed-100609762023-03-31 A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma Pichler, Renate Siska, Peter J. Tymoszuk, Piotr Martowicz, Agnieszka Untergasser, Gerold Mayr, Roman Weber, Florian Seeber, Andreas Kocher, Florian Barth, Dominik A. Pichler, Martin Thurnher, Martin Front Immunol Immunology Renal cell carcinoma (RCC) is frequently infiltrated by immune cells, a process which is governed by chemokines. CD8(+) T cells in the RCC tumor microenvironment (TME) may be exhausted which most likely influence therapy response and survival. The aim of this study was to evaluate chemokine-driven T cell recruitment, T cell exhaustion in the RCC TME, as well as metabolic processes leading to their functional anergy in RCC. Eight publicly available bulk RCC transcriptome collectives (n=1819) and a single cell RNAseq dataset (n=12) were analyzed. Immunodeconvolution, semi-supervised clustering, gene set variation analysis and Monte Carlo-based modeling of metabolic reaction activity were employed. Among 28 chemokine genes available, CXCL9/10/11/CXCR3, CXCL13/CXCR5 and XCL1/XCR1 mRNA expression were significantly increased in RCC compared to normal kidney tissue and also strongly associated with tumor-infiltrating effector memory and central memory CD8(+) T cells in all investigated collectives. M1 TAMs, T cells, NK cells as well as tumor cells were identified as the major sources of these chemokines, whereas T cells, B cells and dendritic cells were found to predominantly express the cognate receptors. The cluster of RCCs characterized by high chemokine expression and high CD8(+) T cell infiltration displayed a strong activation of IFN/JAK/STAT signaling with elevated expression of multiple T cell exhaustion-associated transcripts. Chemokine(high) RCCs were characterized by metabolic reprogramming, in particular by downregulated OXPHOS and increased IDO1-mediated tryptophan degradation. None of the investigated chemokine genes was significantly associated with survival or response to immunotherapy. We propose a chemokine network that mediates CD8(+) T cell recruitment and identify T cell exhaustion, altered energy metabolism and high IDO1 activity as key mechanisms of their suppression. Concomitant targeting of exhaustion pathways and metabolism may pose an effective approach to RCC therapy. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10060976/ /pubmed/37006314 http://dx.doi.org/10.3389/fimmu.2023.1095195 Text en Copyright © 2023 Pichler, Siska, Tymoszuk, Martowicz, Untergasser, Mayr, Weber, Seeber, Kocher, Barth, Pichler and Thurnher 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
Pichler, Renate
Siska, Peter J.
Tymoszuk, Piotr
Martowicz, Agnieszka
Untergasser, Gerold
Mayr, Roman
Weber, Florian
Seeber, Andreas
Kocher, Florian
Barth, Dominik A.
Pichler, Martin
Thurnher, Martin
A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma
title A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma
title_full A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma
title_fullStr A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma
title_full_unstemmed A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma
title_short A chemokine network of T cell exhaustion and metabolic reprogramming in renal cell carcinoma
title_sort chemokine network of t cell exhaustion and metabolic reprogramming in renal cell carcinoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060976/
https://www.ncbi.nlm.nih.gov/pubmed/37006314
http://dx.doi.org/10.3389/fimmu.2023.1095195
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