Single-cell spatial immune landscapes of primary and metastatic brain tumours.
Elham KarimiMiranda W YuSarah M MaritanLucas J M PerusMorteza RezanejadMark SorinMatthew DanknerParvaneh FallahSamuel DoréDongmei ZuoBenoit FisetDaan J KloostermanLeeAnn RamsayYuhong WeiStephanie LamRoa AlsajjanIan R WatsonGloria Roldan UrgoitiMorag ParkDieta BrandsmaDonna L SengerJennifer A ChanLeila AkkariKevin PetreccaMarie-Christine GuiotPeter M SiegelAbdel Razaq Ahmad A AlyasinLogan A WalshPublished in: Nature (2023)
Single-cell technologies have enabled the characterization of the tumour microenvironment at unprecedented depth and have revealed vast cellular diversity among tumour cells and their niche. Anti-tumour immunity relies on cell-cell relationships within the tumour microenvironment 1,2 , yet many single-cell studies lack spatial context and rely on dissociated tissues 3 . Here we applied imaging mass cytometry to characterize the immunological landscape of 139 high-grade glioma and 46 brain metastasis tumours from patients. Single-cell analysis of more than 1.1 million cells across 389 high-dimensional histopathology images enabled the spatial resolution of immune lineages and activation states, revealing differences in immune landscapes between primary tumours and brain metastases from diverse solid cancers. These analyses revealed cellular neighbourhoods associated with survival in patients with glioblastoma, which we leveraged to identify a unique population of myeloperoxidase (MPO)-positive macrophages associated with long-term survival. Our findings provide insight into the biology of primary and metastatic brain tumours, reinforcing the value of integrating spatial resolution to single-cell datasets to dissect the microenvironmental contexture of cancer.
Keyphrases
- single cell
- rna seq
- small cell lung cancer
- high throughput
- induced apoptosis
- high grade
- brain metastases
- resting state
- cell cycle arrest
- white matter
- stem cells
- squamous cell carcinoma
- end stage renal disease
- newly diagnosed
- high resolution
- optical coherence tomography
- chronic kidney disease
- functional connectivity
- cerebral ischemia
- cell death
- deep learning
- oxidative stress
- low grade
- multiple sclerosis
- endoplasmic reticulum stress
- signaling pathway
- patient reported outcomes
- cell therapy
- machine learning
- mass spectrometry
- pi k akt
- brain injury
- squamous cell