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Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma
BACKGROUND: Papillary renal cell carcinoma (pRCC) is the most common non-clear cell RCC, and associated with poor outcomes in the metastatic setting. In this study, we aimed to comprehensively evaluate the immune tumor microenvironment (TME), largely unknown, of patients with metastatic pRCC and ide...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649801/ https://www.ncbi.nlm.nih.gov/pubmed/37935564 http://dx.doi.org/10.1136/jitc-2023-006885 |
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author | de Vries-Brilland, Manon Rioux-Leclercq, Nathalie Meylan, Maxime Dauvé, Jonathan Passot, Christophe Spirina-Menand, Elena Flippot, Ronan Fromont, Gaëlle Gravis, Gwenaelle Geoffrois, Lionnel Chevreau, Christine Rolland, Fréderic Blanc, Ellen Lefort, Félix Ravaud, Alain Gross-Goupil, Marine Escudier, Bernard Negrier, Sylvie Albiges, Laurence |
author_facet | de Vries-Brilland, Manon Rioux-Leclercq, Nathalie Meylan, Maxime Dauvé, Jonathan Passot, Christophe Spirina-Menand, Elena Flippot, Ronan Fromont, Gaëlle Gravis, Gwenaelle Geoffrois, Lionnel Chevreau, Christine Rolland, Fréderic Blanc, Ellen Lefort, Félix Ravaud, Alain Gross-Goupil, Marine Escudier, Bernard Negrier, Sylvie Albiges, Laurence |
author_sort | de Vries-Brilland, Manon |
collection | PubMed |
description | BACKGROUND: Papillary renal cell carcinoma (pRCC) is the most common non-clear cell RCC, and associated with poor outcomes in the metastatic setting. In this study, we aimed to comprehensively evaluate the immune tumor microenvironment (TME), largely unknown, of patients with metastatic pRCC and identify potential therapeutic targets. METHODS: We performed quantitative gene expression analysis of TME using Microenvironment Cell Populations-counter (MCP-counter) methodology, on two independent cohorts of localized pRCC (n=271 and n=98). We then characterized the TME, using immunohistochemistry (n=38) and RNA-sequencing (RNA-seq) (n=30) on metastatic pRCC from the prospective AXIPAP trial cohort. RESULTS: Unsupervised clustering identified two “TME subtypes”, in each of the cohorts: the “immune-enriched” and the “immune-low”. Within AXIPAP trial cohort, the “immune-enriched” cluster was significantly associated with a worse prognosis according to the median overall survival to 8 months (95% CI, 6 to 29) versus 37 months (95% CI, 20 to NA, p=0.001). The two immune signatures, Teff and JAVELIN Renal 101 Immuno signature, predictive of response to immune checkpoint inhibitors (CPI) in clear cell RCC, were significantly higher in the “immune-enriched” group (adjusted p<0.05). Finally, five differentially overexpressed genes were identified, corresponding mainly to B lymphocyte populations. CONCLUSION: For the first time, using RNA-seq and immunohistochemistry, we have highlighted a specific immune TME subtype of metastatic pRCC, significantly more infiltrated with T and B immune population. This “immune-enriched” group appears to have a worse prognosis and could have a potential predictive value for response to immunotherapy, justifying the confirmation of these results in a cohort of metastatic pRCC treated with CPI and in combination with targeted therapies. TRIAL REGISTRATION NUMBER: NCT02489695. |
format | Online Article Text |
id | pubmed-10649801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-106498012023-11-07 Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma de Vries-Brilland, Manon Rioux-Leclercq, Nathalie Meylan, Maxime Dauvé, Jonathan Passot, Christophe Spirina-Menand, Elena Flippot, Ronan Fromont, Gaëlle Gravis, Gwenaelle Geoffrois, Lionnel Chevreau, Christine Rolland, Fréderic Blanc, Ellen Lefort, Félix Ravaud, Alain Gross-Goupil, Marine Escudier, Bernard Negrier, Sylvie Albiges, Laurence J Immunother Cancer Clinical/Translational Cancer Immunotherapy BACKGROUND: Papillary renal cell carcinoma (pRCC) is the most common non-clear cell RCC, and associated with poor outcomes in the metastatic setting. In this study, we aimed to comprehensively evaluate the immune tumor microenvironment (TME), largely unknown, of patients with metastatic pRCC and identify potential therapeutic targets. METHODS: We performed quantitative gene expression analysis of TME using Microenvironment Cell Populations-counter (MCP-counter) methodology, on two independent cohorts of localized pRCC (n=271 and n=98). We then characterized the TME, using immunohistochemistry (n=38) and RNA-sequencing (RNA-seq) (n=30) on metastatic pRCC from the prospective AXIPAP trial cohort. RESULTS: Unsupervised clustering identified two “TME subtypes”, in each of the cohorts: the “immune-enriched” and the “immune-low”. Within AXIPAP trial cohort, the “immune-enriched” cluster was significantly associated with a worse prognosis according to the median overall survival to 8 months (95% CI, 6 to 29) versus 37 months (95% CI, 20 to NA, p=0.001). The two immune signatures, Teff and JAVELIN Renal 101 Immuno signature, predictive of response to immune checkpoint inhibitors (CPI) in clear cell RCC, were significantly higher in the “immune-enriched” group (adjusted p<0.05). Finally, five differentially overexpressed genes were identified, corresponding mainly to B lymphocyte populations. CONCLUSION: For the first time, using RNA-seq and immunohistochemistry, we have highlighted a specific immune TME subtype of metastatic pRCC, significantly more infiltrated with T and B immune population. This “immune-enriched” group appears to have a worse prognosis and could have a potential predictive value for response to immunotherapy, justifying the confirmation of these results in a cohort of metastatic pRCC treated with CPI and in combination with targeted therapies. TRIAL REGISTRATION NUMBER: NCT02489695. BMJ Publishing Group 2023-11-07 /pmc/articles/PMC10649801/ /pubmed/37935564 http://dx.doi.org/10.1136/jitc-2023-006885 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Clinical/Translational Cancer Immunotherapy de Vries-Brilland, Manon Rioux-Leclercq, Nathalie Meylan, Maxime Dauvé, Jonathan Passot, Christophe Spirina-Menand, Elena Flippot, Ronan Fromont, Gaëlle Gravis, Gwenaelle Geoffrois, Lionnel Chevreau, Christine Rolland, Fréderic Blanc, Ellen Lefort, Félix Ravaud, Alain Gross-Goupil, Marine Escudier, Bernard Negrier, Sylvie Albiges, Laurence Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
title | Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
title_full | Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
title_fullStr | Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
title_full_unstemmed | Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
title_short | Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
title_sort | comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma |
topic | Clinical/Translational Cancer Immunotherapy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649801/ https://www.ncbi.nlm.nih.gov/pubmed/37935564 http://dx.doi.org/10.1136/jitc-2023-006885 |
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