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
- induced apoptosis
- small cell lung cancer
- high throughput
- high grade
- resting state
- brain metastases
- white matter
- squamous cell carcinoma
- end stage renal disease
- cell cycle arrest
- stem cells
- high resolution
- functional connectivity
- ejection fraction
- chronic kidney disease
- newly diagnosed
- endoplasmic reticulum stress
- optical coherence tomography
- cerebral ischemia
- gene expression
- deep learning
- peritoneal dialysis
- single molecule
- multiple sclerosis
- convolutional neural network
- mass spectrometry
- oxidative stress
- prognostic factors
- machine learning
- cell proliferation
- cell death
- low grade
- cell therapy
- bone marrow
- free survival
- mesenchymal stem cells
- pi k akt