The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Single-cell spatial landscapes of the lung tumour immune microenvironment
Open accessAbstract
Single-cell technologies have revealed the complexity of the tumour immune microenvironment with unparalleled resolution 1–9. Most clinical strategies rely on histopathological stratification of tumour subtypes, yet the spatial context of single-cell phenotypes within these stratified subgroups is poorly understood. Here we apply imaging mass cytometry to characterize the tumour and immunological landscape of samples from 416 patients with lung adenocarcinoma across five histological patterns. We resolve more than 1.6 million cells, enabling spatial analysis of immune lineages and activation states with distinct clinical correlates, including survival. Using deep learning, we can predict with high accuracy those patients who will progress after surgery using a single 1-mm 2 tumour core, which could be informative for clinical management following surgical resection. Our dataset represents a valuable resource for the non-small cell lung cancer research community and exemplifies the utility of spatial resolution within single-cell analyses. This study also highlights how artificial intelligence can improve our understanding of microenvironmental features that underlie cancer progression and may influence future clinical practice.
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Cites
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Cited by
Advances in molecular pathology and therapy of non-small cell lung cancer
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Metadata
- Authors
- Sorin, M., Rezanejad, M., Karimi, E., Fiset, B., Desharnais, L., Perus, L. J. M., Milette, S., Yu, M. W., Maritan, S. M., Doré, S., Pichette, É., Enlow, W., Gagné, A., Wei, Y., Orain, M., Manem, V. S. K., Rayes, R., Siegel, P. M., Camilleri-Broët, S., Fiset, P. O., Desmeules, P., Spicer, J. D., Quail, D. F., Joubert, P., & Walsh, L. A.
- Venue
- Nature
- Published
- 2023-02-01
- Volume
- 614
- Issue
- 7948
- Pages
- 548-554
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4318831792
- Cited by
- 367
- References
- 44
- FWCI
- 28.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sorin, M., Rezanejad, M., Karimi, E., Fiset, B., Desharnais, L., Perus, L. J. M., Milette, S., Yu, M. W., Maritan, S. M., Doré, S., Pichette, É., Enlow, W., Gagné, A., Wei, Y., Orain, M., Manem, V. S. K., Rayes, R., Siegel, P. M., Camilleri-Broët, S., . . . Walsh, L. A. (2023). Single-cell spatial landscapes of the lung tumour immune microenvironment. Nature. https://doi.org/10.1038/s41586-022-05672-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
