Heterogeneity in Liver Cancer Immune Microenvironment: Emerging Single-Cell and Spatial Perspectives

Caiyi Cherry Li; Meng Liu; Hsin-Pei Lee; Wenqi Wu; Lichun Ma

doi:10.1055/s-0044-1787152

Seminars in Liver Disease, Inhaltsverzeichnis

Semin Liver Dis 2024; 44(02): 133-146
DOI: 10.1055/s-0044-1787152

Review Article

Heterogeneity in Liver Cancer Immune Microenvironment: Emerging Single-Cell and Spatial Perspectives

Autor*innen

Caiyi Cherry Li^*

¹Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
Meng Liu^*

¹Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
Hsin-Pei Lee

¹Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
Wenqi Wu

¹Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
Lichun Ma

¹Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland

²Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland

Abstract

Primary liver cancer is a solid malignancy with a high mortality rate. The success of immunotherapy has shown great promise in improving patient care and highlights a crucial need to understand the complexity of the liver tumor immune microenvironment (TIME). Recent advances in single-cell and spatial omics technologies, coupled with the development of systems biology approaches, are rapidly transforming the landscape of tumor immunology. Here we review the cellular landscape of liver TIME from single-cell and spatial perspectives. We also discuss the cellular interaction networks within the tumor cell community in regulating immune responses. We further highlight the challenges and opportunities with implications for biomarker discovery, patient stratification, and combination immunotherapies.

Keywords

liver cancer - tumor immune microenvironment - immunotherapy - single cell and spatial omics - tumor heterogeneity

Volltext

Referenzen

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