A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling

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. Her...

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Veröffentlicht in:Cell research 2020-09, Vol.30 (9), p.745-762
Hauptverfasser: 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
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container_end_page 762
container_issue 9
container_start_page 745
container_title Cell research
container_volume 30
creator 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
description 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.
doi_str_mv 10.1038/s41422-020-0355-0
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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. 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source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature - Complete Springer Journals; PubMed Central
subjects 38/1
38/39
45/62
45/90
45/91
631/67/1857
631/67/2329
631/67/327
631/67/580
Biomedical and Life Sciences
Breast cancer
Cancer
CD4 antigen
Cell Biology
Heterogeneity
Immunotherapy
Internet
Life Sciences
Lymphocytes T
Melanoma
Organs
Ovarian cancer
Phenotypes
Ribonucleic acid
RNA
Stromal cells
Transcription factors
Tumors
title A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling
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