癌变
间质细胞
癌症研究
肝内胆管癌
生物
肿瘤微环境
医学
癌症
生物信息学
计算生物学
肿瘤细胞
内科学
作者
Qianqian Wang,Pengxiang Wang,Zefan Zhang,Ji Zhou,Jia Fan,Yun‐Fan Sun
标识
DOI:10.1097/hc9.0000000000000248
摘要
Primary liver cancers (PLCs) are a broad class of malignancies that include HCC, intrahepatic cholangiocarcinoma, and combined hepatocellular and intrahepatic cholangiocarcinoma. PLCs are often associated with a poor prognosis due to their high relapse and low therapeutic response rates. Importantly, PLCs exist within a dynamic and complex tumor ecosystem, which includes malignant, immune, and stromal cells. It is critical to dissect the PLC tumor ecosystem to uncover the underlying mechanisms associated with tumorigenesis, relapse, and treatment resistance to facilitate the discovery of novel therapeutic targets. Single-cell and spatial multi-omics sequencing techniques offer an unprecedented opportunity to elucidate spatiotemporal interactions among heterogeneous cell types within the complex tumor ecosystem. In this review, we describe the latest advances in single-cell and spatial technologies and review their applications with respect to dissecting liver cancer tumor ecosystems.
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