bioRxivCancer BiologyPreprint
Multi-region spatial transcriptome analysis reveals cellular networks and pathways associated with hepatocellular carcinoma recurrence
A. Aiderus, P. V. Seshachalam, K. Idzham, M. Caldez, R. Shanmugam, I. N. Sari, D. H. H. Ying, S. L. Chong, K. Sekar, S. C. Chew, G. B. Chen, A. Y.-F. Chung, P. C. Cheow, J. H. Kam, A. W.-C. Koh, I. S. Ganpathi, S. Loong, W.-Q. Leow, K. Chen, R. Chanwat, V. H. de Villa, P. S. Koh, G. K. Bonney, B. K. P. Goh, W. L. Tam, , P. K. H. Chow
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.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single Cell Spatial Transcriptomic Profiling Identifies a LINE1 Associated Disarrayed Immune Microenvironment in Hepatocellular Carcinoma
A. K. Coley, C. Nawrocki, … D. T. Ting·bioRxiv·Dec 4, 2023
- Spatial Transcriptomics Reveals a Conserved Border Niche and Etiology-Associated Immune Rewiring in Hepatocellular Carcinoma
Sungwoo Bae, Heesun Choi, … Suk Kyun Hong·bioRxiv·Jun 5, 2026
- Spatial transcriptomics analysis of neoadjuvant cabozantinib and nivolumab in advanced hepatocellular carcinoma identifies independent mechanisms of resistance and recurrence
S. Zhang, L. Yuan, … L. T. Kagohara·bioRxiv·Jan 10, 2023
- HCCDB v2.0: Decompose the Expression Variations by Single-cell RNA-seq and Spatial Transcriptomics in HCC
Z. Jiang, Y. Wu, … J. Gu·Genomics, Proteomics & BioinformaticsPeer-reviewed·Feb 3, 2024
- Distinct Single-cell Immune Ecosystems Distinguish True and De Novo HBV-related Hepatocellular Carcinoma Recurrences
- Deep Spatial Sequencing Revealing Differential Immune Responses in Human Hepatocellular Carcinoma
Yanping Yu, Liu Silvia, … Jianhua Luo·Frontiers in Cell and Developmental BiologyPeer-reviewed·Jun 3, 2025