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Title:
Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment | Genome Biology
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.
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cells, cell, cancer, gastric, fig, article, google, scholar, tumor, expression, additional, file, gene, data, cas, genes, singlecell, subtypes, endothelial, clusters, cluster, patients, analysis, fibroblasts, bulk, types, samples, survival, rnaseq, tme, activated, immune, fibroblast, found, tissue, response, fcthrc, expressed, macrophages, microenvironment, normal, malignant, cohort, immunotherapy, performed, communication, sequencing, top, myeloid, patient,
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xcl1/xcl2-xcr1 receptor-ligand axis cn/gsa-human/browse/hra002336 hif-1α/cxcr4 signaling pathway gm-csf-pd-l1 pathway chemokine-receptor pairs cxcl1/2/3/5/8ācxcr1/2 heat-shock protein-related program m04-c3 anti-inflammatory macrophages cn/gsa-human/policy/policy single-cell rna-seq integration single-cell rna-seq data applying single-cell rna-seq uk/ena/browser/view/prjeb25780 large-scale expression profiling m11-spp1 anti-inflammatory macrophages single-cell transcriptome profiles bulk/single-cell integration applied conventional cdc1 m16-clec9a tcga-stad rna-seq samples influences colitis-induced tumorigenesis single-cell rna sequencing single-cell rna-seq dissociation-derived batch effect cthrc1-positiveāfibroblast-specific genes wilcoxon rank-sum test f13-depleted/m16-enriched patients bulk rna-seq datasets full size image mediate anti-pd1 resistance preselected single-cell abundances tumor bulk rna-seq bulkĀ rna-seq data bulk rna-seq data activating wnt/pcp signaling support tumor-infiltrating cytotoxic hla-ii expressing macrophages anti-pd1-treated patients cell typeĀ depletion strategies including epsteinābarr virus bulk rna-seq samples x-axis represents ligand anti-inflammatory gene signature partition-based graph abstraction fibroblasts-derived vcam1 induced articleĀ google scholar dectin-2āinduced ccl2 production m16-clec9a dendritic cells actual single-cell fractions ligand-receptor pair l1r1 anti-inflammatory signatures making 150-bp paired-end reads
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headline:Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
description: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. 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. 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.
datePublished:2022-12-22T00:00:00Z
dateModified:2022-12-22T00:00:00Z
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Tumor microenvironment
Gastric cancer
Single-cell RNA transcriptomics
Animal Genetics and Genomics
Human Genetics
Plant Genetics and Genomics
Microbial Genetics and Genomics
Bioinformatics
Evolutionary Biology
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headline:Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
description: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. 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. 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.
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Tumor microenvironment
Gastric cancer
Single-cell RNA transcriptomics
Animal Genetics and Genomics
Human Genetics
Plant Genetics and Genomics
Microbial Genetics and Genomics
Bioinformatics
Evolutionary Biology
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name:Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
type:PostalAddress
type:Organization
name:Peking University Peopleās Hospital
address:
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Mahmoud M. Ibrahim
affiliation:
name:Biomedical Data Science, Research & Early Development preMed, Bayer AG
address:
name:Biomedical Data Science, Research & Early Development preMed, Bayer AG, Wuppertal, Germany
type:PostalAddress
type:Organization
name:Xueda Hu
affiliation:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University
address:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
type:PostalAddress
type:Organization
name:Shishang Qin
affiliation:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University
address:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
type:PostalAddress
type:Organization
name:Dennis Kirchhoff
affiliation:
name:Research & Early Development Oncology, Bayer AG
address:
name:Immuno Oncology, Research & Early Development Oncology, Bayer AG, Berlin, Germany
type:PostalAddress
type:Organization
name:Derek Y. Chiang
affiliation:
name:Biomedical Data Science, Research & Early Development Oncology, Bayer US
address:
name:Biomedical Data Science, Research & Early Development Oncology, Bayer US, Cambridge, USA
type:PostalAddress
type:Organization
name:Shan Wang
affiliation:
name:Peking University Peopleās Hospital
address:
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Peking University Peopleās Hospital
address:
name:Laboratory of Surgical Oncology, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research
address:
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China
type:PostalAddress
type:Organization
name:Yingjiang Ye
affiliation:
name:Peking University Peopleās Hospital
address:
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Peking University Peopleās Hospital
address:
name:Laboratory of Surgical Oncology, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research
address:
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China
type:PostalAddress
type:Organization
name:Zhanlong Shen
affiliation:
name:Peking University Peopleās Hospital
address:
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Peking University Peopleās Hospital
address:
name:Laboratory of Surgical Oncology, Peking University Peopleās Hospital, Beijing, China
type:PostalAddress
type:Organization
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research
address:
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China
type:PostalAddress
type:Organization
email:[email protected]
name:Zhaode Bu
affiliation:
name:Peking University Cancer Hospital and Institute
address:
name:Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
type:PostalAddress
type:Organization
email:[email protected]
name:Zemin Zhang
affiliation:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University
address:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
type:PostalAddress
type:Organization
name:Peking-Tsinghua Centre for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University
address:
name:Peking-Tsinghua Centre for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
type:PostalAddress
type:Organization
email:[email protected]
name:Helge G. Roider
affiliation:
name:Research & Early Development Oncology, Bayer AG
address:
name:Oncology Precision Medicine, Research & Early Development Oncology, Bayer AG, Berlin, Germany
type:PostalAddress
type:Organization
email:[email protected]
PostalAddress:
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
name:Biomedical Data Science, Research & Early Development Oncology, Bayer AG, Berlin, Germany
name:Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
name:Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
name:Biomedical Data Science, Research & Early Development preMed, Bayer AG, Wuppertal, Germany
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
name:Immuno Oncology, Research & Early Development Oncology, Bayer AG, Berlin, Germany
name:Biomedical Data Science, Research & Early Development Oncology, Bayer US, Cambridge, USA
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
name:Laboratory of Surgical Oncology, Peking University Peopleās Hospital, Beijing, China
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
name:Laboratory of Surgical Oncology, Peking University Peopleās Hospital, Beijing, China
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China
name:Department of Gastroenterological Surgery, Peking University Peopleās Hospital, Beijing, China
name:Laboratory of Surgical Oncology, Peking University Peopleās Hospital, Beijing, China
name:Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China
name:Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
name:BIOPIC, Beijing Advanced Innovation Centre for Genomics, and School of Life Sciences, Peking University, Beijing, China
name:Peking-Tsinghua Centre for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
name:Oncology Precision Medicine, Research & Early Development Oncology, Bayer AG, Berlin, Germany
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