Esther Danenberg
Breast tumor microenvironment structures are associated with genomic features and clinical outcome
Danenberg, Esther; Bardwell, Helen; Zanotelli, Vito R. T.; Provenzano, Elena; Chin, Suet Feung; Rueda, Oscar M.; Green, Andrew; Rakha, Emad; Aparicio, Samuel; Ellis, Ian O.; Bodenmiller, Bernd; Caldas, Carlos; Ali, H. Raza
Authors
Helen Bardwell
Vito R. T. Zanotelli
Elena Provenzano
Suet Feung Chin
Oscar M. Rueda
ANDREW GREEN ANDREW.GREEN@NOTTINGHAM.AC.UK
Associate Professor
EMAD RAKHA Emad.Rakha@nottingham.ac.uk
Professor of Breast Cancer Pathology
Samuel Aparicio
Professor IAN ELLIS IAN.ELLIS@NOTTINGHAM.AC.UK
Professor of Cancer Pathology
Bernd Bodenmiller
Carlos Caldas
H. Raza Ali
Abstract
The functions of the tumor microenvironment (TME) are orchestrated by precise spatial organization of specialized cells, yet little is known about the multicellular structures that form within the TME. Here we systematically mapped TME structures in situ using imaging mass cytometry and multitiered spatial analysis of 693 breast tumors linked to genomic and clinical data. We identified ten recurrent TME structures that varied by vascular content, stromal quiescence versus activation, and leukocyte composition. These TME structures had distinct enrichment patterns among breast cancer subtypes, and some were associated with genomic profiles indicative of immune escape. Regulatory and dysfunctional T cells co-occurred in large ‘suppressed expansion’ structures. These structures were characterized by high cellular diversity, proliferating cells and enrichment for BRCA1 and CASP8 mutations and predicted poor outcome in estrogen-receptor-positive disease. The multicellular structures revealed here link conserved spatial organization to local TME function and could improve patient stratification.
Citation
Danenberg, E., Bardwell, H., Zanotelli, V. R. T., Provenzano, E., Chin, S. F., Rueda, O. M., …Ali, H. R. (2022). Breast tumor microenvironment structures are associated with genomic features and clinical outcome. Nature Genetics, 54, 660–669. https://doi.org/10.1038/s41588-022-01041-y
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 3, 2022 |
Online Publication Date | Apr 18, 2022 |
Publication Date | Apr 18, 2022 |
Deposit Date | Apr 25, 2022 |
Publicly Available Date | Apr 28, 2022 |
Journal | Nature Genetics |
Print ISSN | 1061-4036 |
Electronic ISSN | 1546-1718 |
Publisher | Nature Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 54 |
Pages | 660–669 |
DOI | https://doi.org/10.1038/s41588-022-01041-y |
Keywords | Genetics |
Public URL | https://nottingham-repository.worktribe.com/output/7787389 |
Additional Information | Received: 23 September 2021; Accepted: 3 March 2022; First Online: 18 April 2022; : C.C. is a member of AstraZeneca’s iMED External Science Panel and Illumina’s Scientific Advisory Board and a recipient of research grants (administered by the University of Cambridge) from Genentech, Roche, AstraZeneca and Servier. B.B. holds a patent relevant to this work entitled ‘A method for determining the likelihood of a patient being responsive to cancer immunotherapy’ (publication number WO2020207771A1). E.P. has received honoraria from Roche and Novartis for speaking at meetings and Inflection Point Biomedical Advisors for participating in an advisory panel. The other authors declare no competing interests. |
Files
s41588-022-01041-y
(25.3 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search