Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer

Li, Ruoyan; Ferdinand, John R.; Loudon, Kevin W.; Bowyer, Georgina; Laidlaw, Sean; Muyas, Francesc; Mamanova, Lira; Neves, Joana B.; Bolt, Liam; Fasouli, Eirini S.; Lawson, Andrew; Young, Matthew D.; Hooks, Yvette; Oliver, Thomas R. W.; Butler, Timothy; Armitage, James N.; Aho, Tev; Riddick, Antony C. P.; Gnanapragasam, Vincent J.; Welsh, Sarah J.; Meyer, Kerstin B.; Warren, Anne Y.; Tran, Maxine; Stewart, Grant D.; Cortés‐Ciriano, Isidro; Behjati, Sam; Clatworthy, Menna R.; Campbell, Peter J.; Teichmann, Sarah A.; Mitchell, Thomas J.

doi:10.1016/j.ccell.2022.11.001

articleCancer CellNov 23, 2022HYBRID OA

Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer

RLRuoyan Li JRJohn R. Ferdinand KWKevin W. Loudon GBGeorgina Bowyer SLSean Laidlaw

Wellcome Sanger Institute · University of Cambridge · +4 more institutions

PubMed

Indexed incrossrefdatacitepubmed

Abstract

T cell clonotypes largely defines their exhaustion state with intra-tumoral spatial heterogeneity that is not well explained by somatic heterogeneity. De novo mutation calling from single-cell RNA-sequencing data allows us to broadly infer the clonality of stromal cells and lineage-trace myeloid cell development. We report six conserved meta-programs that distinguish tumor cell function, and find an epithelial-mesenchymal transition meta-program highly enriched at the tumor-normal interface that co-localizes with IL1B-expressing macrophages, offering a potential therapeutic target.

Citation impact

245

total citations

FWCI: 21.47
Percentile: 100%
References: 70

Citations per year

Authors

30

Topics & keywords

Topics

Keywords

Transcriptome
Kidney cancer
Cancer
Biology
Cell
Cancer research
Computational biology
Genetics

UN Sustainable Development Goals

Good health and well-being

No related works found for this paper.