Tumour vasculature at single-cell resolution.
Xu PanXin LiLiang DongTeng LiuMin ZhangLining ZhangXiyuan ZhangLingjuan HuangWensheng ShiHongyin SunZhaoyu FangJie SunYaoxuan HuangHua ShaoYeqi WangMingzhu YinPublished in: Nature (2024)
Tumours can obtain nutrients and oxygen required to progress and metastasize through the blood supply 1 . Inducing angiogenesis involves the sprouting of established vessel beds and their maturation into an organized network 2,3 . Here we generate a comprehensive atlas of tumour vasculature at single-cell resolution, encompassing approximately 200,000 cells from 372 donors representing 31 cancer types. Trajectory inference suggested that tumour angiogenesis was initiated from venous endothelial cells and extended towards arterial endothelial cells. As neovascularization elongates (through angiogenic stages SI, SII and SIII), APLN + tip cells at the SI stage (APLN + Tip SI ) advanced to Tip SIII cells with increased Notch signalling. Meanwhile, stalk cells, following tip cells, transitioned from high chemokine expression to elevated TEK (also known as Tie2) expression. Moreover, APLN + Tip SI cells not only were associated with disease progression and poor prognosis but also hold promise for predicting response to anti-VEGF therapy. Lymphatic endothelial cells demonstrated two distinct differentiation lineages: one responsible for lymphangiogenesis and the other involved in antigen presentation. In pericytes, endoplasmic reticulum stress was associated with the proangiogenic BASP1 + matrix-producing pericytes. Furthermore, intercellular communication analysis showed that neovascular endothelial cells could shape an immunosuppressive microenvironment conducive to angiogenesis. This study depicts the complexity of tumour vasculature and has potential clinical significance for anti-angiogenic therapy.
Keyphrases
- endothelial cells
- induced apoptosis
- poor prognosis
- endoplasmic reticulum stress
- single cell
- vascular endothelial growth factor
- cell cycle arrest
- signaling pathway
- oxidative stress
- squamous cell carcinoma
- high glucose
- stem cells
- machine learning
- diabetic retinopathy
- optical coherence tomography
- big data
- risk assessment
- binding protein
- papillary thyroid
- squamous cell