转录组
肝细胞癌
疾病
细胞
生物
癌症研究
基因
肿瘤科
医学
生物信息学
内科学
基因表达
遗传学
作者
Aziz Aiderus,Pratap Veerabrahma Seshachalam,Khaireen Idzham,Matias Caldez,Raghuvaran Shanmugam,Ita Novita Sari,Dorcas Hei Hui Ying,Shay Lee Chong,Karthik Sekar,Sin Chi Chew,Gao Bin Chen,Alexander Chung,Peng Chung Cheow,Juinn Huar Kam,Alfred Wei Chieh Kow,Shridhar Ganpathi Iyer,Shihleone Loong,Wei Qiang Leow,Kaina Chen,Rawisak Chanwat
标识
DOI:10.1101/2023.07.26.549242
摘要
Abstract Hepatocellular carcinomas (HCC) are driven by various etiologies and molecular diversity at presentation. Patient prognosis post-surgery is generally dismal, and the majority respond poorly to adjuvant targeted and/or immuno-therapies. Tumours are an ecosystem comprised of organization and interaction between different cell types that may contribute to clinically significant outcomes, such as disease recurrence. To better understand this phenomenon, we leveraged on a local cohort of patients with or without recurrence to generate spatial transcriptome profiles from multiple sectors from each tumour. We identified widespread gene expression intra- and inter tumour heterogeneity observed across the tumour sectors. Our analysis also revealed the cell type enrichment and localization, and ligand-receptor interactions identify a specific subset of endothelial cell enriched in primary tumours of patients with recurrence. Altogether, this study describes the spatial gene expression landscape in HCC patients associated with disease recurrence.
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