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

重编程 癌症研究 转录组 肺癌 免疫系统 腺癌 细胞 癌细胞 癌症 生物 免疫学 医学 遗传学 病理 基因 基因表达
作者
Marco De Zuani,Haoliang Xue,Jun Sung Park,Stefan C. Dentro,Zaira Seferbekova,Julien Tessier,Sandra Curras-Alonso,Angela Hadjipanayis,Emmanouil Athanasiadis,Moritz Gerstung,Omer Ali Bayraktar,Ana Cvejic
出处
期刊:Nature Communications [Springer Nature]
卷期号:15 (1) 被引量:3
标识
DOI:10.1038/s41467-024-48700-8
摘要

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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