GPNMB + Gal-3 + hepatic parenchymal cells promote immunosuppression and hepatocellular carcinogenesis.
Yan MengQiudong ZhaoYan SangJianping LiaoFei YeShuping QuPingping NieLiwei AnWeihong ZhangShi JiaoAimin HuangZhaocai ZhouLixin WeiPublished in: The EMBO journal (2023)
Hepatocellular carcinoma (HCC) formation is a multi-step pathological process that involves evolution of a heterogeneous immunosuppressive tumor microenvironment. However, the specific cell populations involved and their origins and contribution to HCC development remain largely unknown. Here, comprehensive single-cell transcriptome sequencing was applied to profile rat models of toxin-induced liver tumorigenesis and HCC patients. Specifically, we identified three populations of hepatic parenchymal cells emerging during HCC progression, termed metabolic hepatocytes (HC Meta ), Epcam + population with differentiation potential (EP +Diff ) and immunosuppressive malignant transformation subset (MT Immu ). These distinct subpopulations form an oncogenic trajectory depicting a dynamic landscape of hepatocarcinogenesis, with signature genes reflecting the transition from EP +Diff to MT Immu . Importantly, GPNMB + Gal-3 + MT Immu cells exhibit both malignant and immunosuppressive properties. Moreover, SOX18 is required for the generation and malignant transformation of GPNMB + Gal-3 + MT Immu cells. Enrichment of the GPNMB + Gal-3 + MT Immu subset was found to be associated with poor prognosis and a higher rate of recurrence in patients. Collectively, we unraveled the single-cell HCC progression atlas and uncovered GPNMB + Gal-3 + parenchymal cells as a major subset contributing to the immunosuppressive microenvironment thus malignance in HCC.
Keyphrases
- single cell
- induced apoptosis
- poor prognosis
- cell cycle arrest
- rna seq
- stem cells
- oxidative stress
- newly diagnosed
- ejection fraction
- prognostic factors
- signaling pathway
- cell death
- escherichia coli
- transcription factor
- high throughput
- long non coding rna
- mesenchymal stem cells
- risk assessment
- endothelial cells
- cell proliferation
- liver injury
- genome wide identification