Single-cell and spatial transcriptomics analysis of non-small cell lung cancer.
Marco De ZuaniHaoliang XueJun Sung ParkStefan C DentroZaira SeferbekovaJulien TessierSandra Curras-AlonsoAngela HadjipanayisEmmanouil I AthanasiadisMoritz GerstungOmer Ali BayraktarAna CvejicPublished in: Nature communications (2024)
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.
Keyphrases
- single cell
- nk cells
- squamous cell carcinoma
- rna seq
- high throughput
- locally advanced
- high resolution
- anti inflammatory
- gene expression
- lymph node metastasis
- induced apoptosis
- transcription factor
- stem cells
- poor prognosis
- machine learning
- deep learning
- bone marrow
- dendritic cells
- cardiovascular events
- type diabetes
- heat shock
- cell proliferation
- signaling pathway
- binding protein
- young adults
- radiation therapy
- high speed
- genome wide
- cell death