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Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study

INTRODUCTION: Cancer‐associated fibroblasts (CAFs) are correlated with the immunotherapy response. However, the culprits that link CAFs to immunotherapy resistance are still rarely investigated in real‐world studies. OBJECTIVES: This study aims to systematically assess the landscape of fibroblasts i...

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Autores principales: Zheng, Shaoquan, Liang, Jie‐Ying, Tang, Yuhui, Xie, Jindong, Zou, Yutian, Yang, Anli, Shao, Nan, Kuang, Xiaying, Ji, Fei, Liu, Xuefeng, Tian, Wenwen, Xiao, Weikai, Lin, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920016/
https://www.ncbi.nlm.nih.gov/pubmed/36772945
http://dx.doi.org/10.1002/ctm2.1189
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author Zheng, Shaoquan
Liang, Jie‐Ying
Tang, Yuhui
Xie, Jindong
Zou, Yutian
Yang, Anli
Shao, Nan
Kuang, Xiaying
Ji, Fei
Liu, Xuefeng
Tian, Wenwen
Xiao, Weikai
Lin, Ying
author_facet Zheng, Shaoquan
Liang, Jie‐Ying
Tang, Yuhui
Xie, Jindong
Zou, Yutian
Yang, Anli
Shao, Nan
Kuang, Xiaying
Ji, Fei
Liu, Xuefeng
Tian, Wenwen
Xiao, Weikai
Lin, Ying
author_sort Zheng, Shaoquan
collection PubMed
description INTRODUCTION: Cancer‐associated fibroblasts (CAFs) are correlated with the immunotherapy response. However, the culprits that link CAFs to immunotherapy resistance are still rarely investigated in real‐world studies. OBJECTIVES: This study aims to systematically assess the landscape of fibroblasts in cancer patients by combining single‐cell and bulk profiling data from pan‐cancer cohorts. We further sought to decipher the expression, survival predictive value and association with immunotherapy response of biglycan (BGN), a proteoglycan in the extracellular matrix, in multiple cohorts. METHODS: Pan‐cancer tumor bulks and 27 single‐cell RNA sequencing cohorts were enrolled to investigate the correlations and crosstalk between CAFs and tumor or immune cells. Specific secreting factors of CAFs were then identified by expression profiling at tissue microdissection, isolated primary fibroblasts and single‐cell level. The role of BGN was further dissected in additional three bulk and five single‐cell profiling datasets from immunotherapy cohorts and validated in real‐world patients who have received PD‐1 blockade using immunohistochemistry and immunofluorescence. RESULTS: CAFs were closely correlated with immune components. Frequent crosstalk between CAFs and other cells was revealed by the CellChat analysis. Single‐cell regulatory network inference and clustering identified common and distinct regulators for CAFs across cancers. The BGN was determined to be a specific secreting factor of CAFs. The BGN served as an unfavourable indicator for overall survival and immunotherapy response. In the real‐world immunotherapy cohort, patients with high BGN levels presented a higher proportion of poor response compared with those with low BGN (46.7% vs. 11.8%) and a lower level of infiltrating CD8+ T cells was also observed. CONCLUSIONS: We highlighted the importance of CAFs in the tumor microenvironment and revealed that the BGN, which is mainly derived from CAFs, may be applicable in clinical practice and serve as a therapeutic target in immunotherapy resistance.
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spelling pubmed-99200162023-02-13 Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study Zheng, Shaoquan Liang, Jie‐Ying Tang, Yuhui Xie, Jindong Zou, Yutian Yang, Anli Shao, Nan Kuang, Xiaying Ji, Fei Liu, Xuefeng Tian, Wenwen Xiao, Weikai Lin, Ying Clin Transl Med Research Articles INTRODUCTION: Cancer‐associated fibroblasts (CAFs) are correlated with the immunotherapy response. However, the culprits that link CAFs to immunotherapy resistance are still rarely investigated in real‐world studies. OBJECTIVES: This study aims to systematically assess the landscape of fibroblasts in cancer patients by combining single‐cell and bulk profiling data from pan‐cancer cohorts. We further sought to decipher the expression, survival predictive value and association with immunotherapy response of biglycan (BGN), a proteoglycan in the extracellular matrix, in multiple cohorts. METHODS: Pan‐cancer tumor bulks and 27 single‐cell RNA sequencing cohorts were enrolled to investigate the correlations and crosstalk between CAFs and tumor or immune cells. Specific secreting factors of CAFs were then identified by expression profiling at tissue microdissection, isolated primary fibroblasts and single‐cell level. The role of BGN was further dissected in additional three bulk and five single‐cell profiling datasets from immunotherapy cohorts and validated in real‐world patients who have received PD‐1 blockade using immunohistochemistry and immunofluorescence. RESULTS: CAFs were closely correlated with immune components. Frequent crosstalk between CAFs and other cells was revealed by the CellChat analysis. Single‐cell regulatory network inference and clustering identified common and distinct regulators for CAFs across cancers. The BGN was determined to be a specific secreting factor of CAFs. The BGN served as an unfavourable indicator for overall survival and immunotherapy response. In the real‐world immunotherapy cohort, patients with high BGN levels presented a higher proportion of poor response compared with those with low BGN (46.7% vs. 11.8%) and a lower level of infiltrating CD8+ T cells was also observed. CONCLUSIONS: We highlighted the importance of CAFs in the tumor microenvironment and revealed that the BGN, which is mainly derived from CAFs, may be applicable in clinical practice and serve as a therapeutic target in immunotherapy resistance. John Wiley and Sons Inc. 2023-02-11 /pmc/articles/PMC9920016/ /pubmed/36772945 http://dx.doi.org/10.1002/ctm2.1189 Text en © 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zheng, Shaoquan
Liang, Jie‐Ying
Tang, Yuhui
Xie, Jindong
Zou, Yutian
Yang, Anli
Shao, Nan
Kuang, Xiaying
Ji, Fei
Liu, Xuefeng
Tian, Wenwen
Xiao, Weikai
Lin, Ying
Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study
title Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study
title_full Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study
title_fullStr Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study
title_full_unstemmed Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study
title_short Dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single‐cell transcriptomic study
title_sort dissecting the role of cancer‐associated fibroblast‐derived biglycan as a potential therapeutic target in immunotherapy resistance: a tumor bulk and single‐cell transcriptomic study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920016/
https://www.ncbi.nlm.nih.gov/pubmed/36772945
http://dx.doi.org/10.1002/ctm2.1189
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