Single cell view of tumor microenvironment gradients in pleural mesothelioma.
Bruno GiottiKomal DolasiaWilliam ZhaoPeiwen CaiRobert SweeneyElliot MerrittEvgeny KinerGrace S KimAtharva BhagwatThinh NguyenSamarth HegdeBailey G FitzgeraldSanjana ShroffTravis DawsonMonica Garcia-BarrosJamshid Abdul-GhafarRachel ChenSacha GnjaticAlan SotoRachel BrodySeunghee Kim-SchulzeZhihong ChenKristin G BeaumontMiriam MeradRaja M FloresRobert P SebraAmir HorowitzThomas U MarronAnna S TochevaAndrea WolfAlexander M TsankovPublished in: Cancer discovery (2024)
Immunotherapies have shown great promise in pleural mesothelioma (PM), yet most patients still do not achieve significant clinical response, highlighting the importance of improving understanding of the tumor microenvironment (TME). Here, we utilized high-throughput, single-cell RNA-sequencing to de novo identify 54 expression programs and construct a comprehensive cellular catalogue of the PM TME. We found four cancer-intrinsic programs associated with poor disease outcome and a novel fetal-like, endothelial cell population that likely responds to VEGF signaling and promotes angiogenesis. Throughout cellular compartments, we observe substantial difference in the TME associated with a cancer-intrinsic sarcomatoid signature, including enrichment in fetal-like endothelial cells, CXCL9+ macrophages, cytotoxic, exhausted, and regulatory T cells, which we validated using imaging and bulk deconvolution analyses on independent cohorts. Finally, we show, both computationally and experimentally, that NKG2A-HLA-E interaction between NK and tumor cells represents an important new therapeutic axis in PM, especially for epithelioid cases.
Keyphrases
- single cell
- endothelial cells
- high throughput
- regulatory t cells
- particulate matter
- rna seq
- air pollution
- papillary thyroid
- vascular endothelial growth factor
- end stage renal disease
- polycyclic aromatic hydrocarbons
- high glucose
- heavy metals
- squamous cell
- ejection fraction
- public health
- poor prognosis
- dendritic cells
- prognostic factors
- newly diagnosed
- high resolution
- peritoneal dialysis
- chronic kidney disease
- nk cells
- lymph node metastasis
- squamous cell carcinoma
- machine learning
- childhood cancer
- big data
- artificial intelligence
- patient reported outcomes
- immune response