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Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment

BACKGROUND: The tumor microenvironment (TME) has been shown to strongly influence treatment outcome for cancer patients in various indications and to influence the overall survival. However, the cells forming the TME in gastric cancer have not been extensively characterized. RESULTS: We combine bulk...

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Autores principales: Kang, Boxi, Camps, Jordi, Fan, Biao, Jiang, Hongpeng, Ibrahim, Mahmoud M., Hu, Xueda, Qin, Shishang, Kirchhoff, Dennis, Chiang, Derek Y., Wang, Shan, Ye, Yingjiang, Shen, Zhanlong, Bu, Zhaode, Zhang, Zemin, Roider, Helge G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773611/
https://www.ncbi.nlm.nih.gov/pubmed/36550535
http://dx.doi.org/10.1186/s13059-022-02828-2
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author Kang, Boxi
Camps, Jordi
Fan, Biao
Jiang, Hongpeng
Ibrahim, Mahmoud M.
Hu, Xueda
Qin, Shishang
Kirchhoff, Dennis
Chiang, Derek Y.
Wang, Shan
Ye, Yingjiang
Shen, Zhanlong
Bu, Zhaode
Zhang, Zemin
Roider, Helge G.
author_facet Kang, Boxi
Camps, Jordi
Fan, Biao
Jiang, Hongpeng
Ibrahim, Mahmoud M.
Hu, Xueda
Qin, Shishang
Kirchhoff, Dennis
Chiang, Derek Y.
Wang, Shan
Ye, Yingjiang
Shen, Zhanlong
Bu, Zhaode
Zhang, Zemin
Roider, Helge G.
author_sort Kang, Boxi
collection PubMed
description BACKGROUND: The tumor microenvironment (TME) has been shown to strongly influence treatment outcome for cancer patients in various indications and to influence the overall survival. However, the cells forming the TME in gastric cancer have not been extensively characterized. RESULTS: We combine bulk and single-cell RNA sequencing from tumors and matched normal tissue of 24 treatment-naïve GC patients to better understand which cell types and transcriptional programs are associated with malignant transformation of the stomach. Clustering 96,623 cells of non-epithelial origin reveals 81 well-defined TME cell types. We find that activated fibroblasts and endothelial cells are most prominently overrepresented in tumors. Intercellular network reconstruction and survival analysis of an independent cohort imply the importance of these cell types together with immunosuppressive myeloid cell subsets and regulatory T cells in establishing an immunosuppressive microenvironment that correlates with worsened prognosis and lack of response in anti-PD1-treated patients. In contrast, we find a subset of IFNγ activated T cells and HLA-II expressing macrophages that are linked to treatment response and increased overall survival. CONCLUSIONS: Our gastric cancer single-cell TME compendium together with the matched bulk transcriptome data provides a unique resource for the identification of new potential biomarkers for patient stratification. This study helps further to elucidate the mechanism of gastric cancer and provides insights for therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02828-2.
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spelling pubmed-97736112022-12-23 Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment Kang, Boxi Camps, Jordi Fan, Biao Jiang, Hongpeng Ibrahim, Mahmoud M. Hu, Xueda Qin, Shishang Kirchhoff, Dennis Chiang, Derek Y. Wang, Shan Ye, Yingjiang Shen, Zhanlong Bu, Zhaode Zhang, Zemin Roider, Helge G. Genome Biol Research BACKGROUND: The tumor microenvironment (TME) has been shown to strongly influence treatment outcome for cancer patients in various indications and to influence the overall survival. However, the cells forming the TME in gastric cancer have not been extensively characterized. RESULTS: We combine bulk and single-cell RNA sequencing from tumors and matched normal tissue of 24 treatment-naïve GC patients to better understand which cell types and transcriptional programs are associated with malignant transformation of the stomach. Clustering 96,623 cells of non-epithelial origin reveals 81 well-defined TME cell types. We find that activated fibroblasts and endothelial cells are most prominently overrepresented in tumors. Intercellular network reconstruction and survival analysis of an independent cohort imply the importance of these cell types together with immunosuppressive myeloid cell subsets and regulatory T cells in establishing an immunosuppressive microenvironment that correlates with worsened prognosis and lack of response in anti-PD1-treated patients. In contrast, we find a subset of IFNγ activated T cells and HLA-II expressing macrophages that are linked to treatment response and increased overall survival. CONCLUSIONS: Our gastric cancer single-cell TME compendium together with the matched bulk transcriptome data provides a unique resource for the identification of new potential biomarkers for patient stratification. This study helps further to elucidate the mechanism of gastric cancer and provides insights for therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02828-2. BioMed Central 2022-12-22 /pmc/articles/PMC9773611/ /pubmed/36550535 http://dx.doi.org/10.1186/s13059-022-02828-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Kang, Boxi
Camps, Jordi
Fan, Biao
Jiang, Hongpeng
Ibrahim, Mahmoud M.
Hu, Xueda
Qin, Shishang
Kirchhoff, Dennis
Chiang, Derek Y.
Wang, Shan
Ye, Yingjiang
Shen, Zhanlong
Bu, Zhaode
Zhang, Zemin
Roider, Helge G.
Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
title Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
title_full Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
title_fullStr Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
title_full_unstemmed Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
title_short Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
title_sort parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773611/
https://www.ncbi.nlm.nih.gov/pubmed/36550535
http://dx.doi.org/10.1186/s13059-022-02828-2
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