Single-cell and spatial architecture of primary liver cancer.
Pei-Yun ZhouCheng ZhouWei GanZheng TangBao-Ye SunJin-Long HuangGao LiuWei-Ren LiuMeng-Xin TianXi-Fei JiangHan WangChen-Yang TaoYuan FangWei-Feng QuRun HuangGui-Qi ZhuCheng HuangXiu-Tao FuZhen-Bin DingQiang GaoJian ZhouYing-Hong ShiYong YiJia FanShuang-Jian QiuPublished in: Communications biology (2023)
Primary liver cancer (PLC) poses a leading threat to human health, and its treatment options are limited. Meanwhile, the investigation of homogeneity and heterogeneity among PLCs remains challenging. Here, using single-cell RNA sequencing, spatial transcriptomic and bulk multi-omics, we elaborated a molecular architecture of 3 PLC types, namely hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and combined hepatocellular-cholangiocarcinoma (CHC). Taking a high-resolution perspective, our observations revealed that CHC cells exhibit internally discordant phenotypes, whereas ICC and HCC exhibit distinct tumor-specific features. Specifically, ICC was found to be the primary source of cancer-associated fibroblasts, while HCC exhibited disrupted metabolism and greater individual heterogeneity of T cells. We further revealed a diversity of intermediate-state cells residing in the tumor-peritumor junctional zone, including a congregation of CPE + intermediate-state endothelial cells (ECs), which harbored the molecular characteristics of tumor-associated ECs and normal ECs. This architecture offers insights into molecular characteristics of PLC microenvironment, and hints that the tumor-peritumor junctional zone could serve as a targeted region for precise therapeutical strategies.
Keyphrases
- single cell
- rna seq
- induced apoptosis
- human health
- high throughput
- high resolution
- cell cycle arrest
- endothelial cells
- risk assessment
- stem cells
- single molecule
- cell death
- resting state
- climate change
- signaling pathway
- cancer therapy
- mass spectrometry
- cell proliferation
- drug delivery
- functional connectivity
- extracellular matrix
- pi k akt