Single-cell and spatial transcriptomics analysis of non-small cell lung cancer

Marco De Zuani(Wellcome/MRC Cambridge Stem Cell Institute), Haoliang Xue(Wellcome/MRC Cambridge Stem Cell Institute), Jun Sung Park(European Bioinformatics Institute), Stefan C. Dentro(European Bioinformatics Institute), Zaira Seferbekova(European Bioinformatics Institute), Julien Tessier(Sanofi (United States)), Sandra Curras-Alonso(Sanofi (France)), Angela Hadjipanayis(Sanofi (United States)), Emmanouil Athanasiadis(Open Targets), Moritz Gerstung(European Bioinformatics Institute), Omer Ali Bayraktar(Wellcome Sanger Institute), Ana Cvejic(University of Copenhagen)
Nature Communications
May 23, 2024
Cited by 164Open Access
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Abstract

Lung cancer is the second most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide. Tumour ecosystems feature diverse immune cell types. Myeloid cells, in particular, are prevalent and have a well-established role in promoting the disease. In our study, we profile approximately 900,000 cells from 25 treatment-naive patients with adenocarcinoma and squamous-cell carcinoma by single-cell and spatial transcriptomics. We note an inverse relationship between anti-inflammatory macrophages and NK cells/T cells, and with reduced NK cell cytotoxicity within the tumour. While we observe a similar cell type composition in both adenocarcinoma and squamous-cell carcinoma, we detect significant differences in the co-expression of various immune checkpoint inhibitors. Moreover, we reveal evidence of a transcriptional "reprogramming" of macrophages in tumours, shifting them towards cholesterol export and adopting a foetal-like transcriptional signature which promotes iron efflux. Our multi-omic resource offers a high-resolution molecular map of tumour-associated macrophages, enhancing our understanding of their role within the tumour microenvironment.


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