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

Junbin Qian, Siel Olbrecht, Bram Boeckx, Hanne Vos, Damya Laoui, Emre Etlioglu, Els Wauters, Valentina Pomella, Sara Verbandt, Pieter Busschaert, Ayse Bassez, Amelie Franken, Marlies Vanden Bempt, Jieyi Xiong, Birgit Weynand, Yannick van Herck, Asier Antoranz, Francesca Maria Bosisio, Bernard Thienpont, Giuseppe Floris, Ignace Vergote, Ann Smeets, Sabine Tejpar & Diether Lambrechts

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.

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Species: human
Number of cells: 1962
Number of downloads: 19
Study size: 22MB
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pan-cancer 
lung cancer 
colorectal cancer 
ovarian cancer