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A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling.
Qian, Junbin; Olbrecht, Siel; Boeckx, Bram; Vos, Hanne; Laoui, Damya; Etlioglu, Emre; Wauters, Els; Pomella, Valentina; Verbandt, Sara; Busschaert, Pieter; Bassez, Ayse; Franken, Amelie; Bempt, Marlies Vanden; Xiong, Jieyi; Weynand, Birgit; van Herck, Yannick; Antoranz, Asier; Bosisio, Francesca Maria; Thienpont, Bernard; Floris, Giuseppe; Vergote, Ignace; Smeets, Ann; Tejpar, Sabine; Lambrechts, Diether.
Afiliação
  • Qian J; VIB Center for Cancer Biology, Leuven, Belgium.
  • Olbrecht S; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Boeckx B; VIB Center for Cancer Biology, Leuven, Belgium.
  • Vos H; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Laoui D; Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium.
  • Etlioglu E; VIB Center for Cancer Biology, Leuven, Belgium.
  • Wauters E; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Pomella V; Department of Oncology, KU Leuven, Surgical Oncology, University Hospitals Leuven, Leuven, Belgium.
  • Verbandt S; Lab of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.
  • Busschaert P; Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.
  • Bassez A; Laboratory of Molecular Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.
  • Franken A; Respiratory Oncology Unit (Pneumology) and Leuven Lung Cancer Group, University Hospital KU Leuven, Leuven, Belgium.
  • Bempt MV; Laboratory of Pneumology, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium.
  • Xiong J; Laboratory of Molecular Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.
  • Weynand B; Laboratory of Molecular Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.
  • van Herck Y; Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium.
  • Antoranz A; VIB Center for Cancer Biology, Leuven, Belgium.
  • Bosisio FM; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Thienpont B; VIB Center for Cancer Biology, Leuven, Belgium.
  • Floris G; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Vergote I; VIB Center for Cancer Biology, Leuven, Belgium.
  • Smeets A; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
  • Tejpar S; VIB Center for Cancer Biology, Leuven, Belgium.
  • Lambrechts D; Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Cell Res ; 30(9): 745-762, 2020 09.
Article em En | MEDLINE | ID: mdl-32561858
ABSTRACT
The stromal compartment of the tumor microenvironment consists of a heterogeneous set of tissue-resident and tumor-infiltrating cells, which are profoundly moulded by cancer cells. An outstanding question is to what extent this heterogeneity is similar between cancers affecting different organs. Here, we profile 233,591 single cells from patients with lung, colorectal, ovary and breast cancer (n = 36) and construct a pan-cancer blueprint of stromal cell heterogeneity using different single-cell RNA and protein-based technologies. We identify 68 stromal cell populations, of which 46 are shared between cancer types and 22 are unique. We also characterise each population phenotypically by highlighting its marker genes, transcription factors, metabolic activities and tissue-specific expression differences. Resident cell types are characterised by substantial tissue specificity, while tumor-infiltrating cell types are largely shared across cancer types. Finally, by applying the blueprint to melanoma tumors treated with checkpoint immunotherapy and identifying a naïve CD4+ T-cell phenotype predictive of response to checkpoint immunotherapy, we illustrate how it can serve as a guide to interpret scRNA-seq data. In conclusion, by providing a comprehensive blueprint through an interactive web server, we generate the first panoramic view on the shared complexity of stromal cells in different cancers.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Microambiente Tumoral / RNA-Seq / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Microambiente Tumoral / RNA-Seq / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Bélgica