ORIGINAL RESEARCH article
Front. Cell Dev. Biol.
Sec. Cancer Cell Biology
Volume 13 - 2025 | doi: 10.3389/fcell.2025.1600129
This article is part of the Research TopicUnraveling GI Cancer Heterogeneity Through Single-Cell Multi-Omics ApproachesView all 3 articles
Deep Spatial Sequencing Revealing Differential Immune Responses in Human
Provisionally accepted- 1University of Pittsburgh, Pittsburgh, United States
- 2Element Biosciences, INC, SAN DIEGO, United States
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Hepatocellular carcinoma (HCC) is one of the most lethal cancers for humans. HCC is highly heterogeneous. In this study, we performed ultra-depth (~1 million reads per spot) sequencing of 6320 spatial transcriptomes on a case of HCC. Sixteen distinct spatial expression clusters were identified. Each of these clusters was spatially contiguous and had distinct gene expression patterns. In contrast, benign liver tissues showed minimal heterogeneity in terms of gene expression. Numerous immune cell-enriched spots were identified in both HCC and benign liver regions. Cells adjacent to these immune cell-enriched spots showed significant alterations in their gene expression patterns. Interestingly, the responses of HCC cells to the nearby immune cells were significantly more intense and broader, while the responses of benign liver cells to immune cells were somewhat narrow and muted, suggesting an innate difference in immune cell activities towards HCC cells in comparison with benign liver cells. However, cell-cell interaction analyses showed significant immune evasion by HCC cancer cells. When standard-depth sequencing was performed, significant numbers of genes and pathways that were associated with these changes disappeared. Qualitative differences in some pathways were also found. These results suggest that deep spatial sequencing may help to uncover previously unidentified mechanisms of liver cancer development.
Keywords: Ultra-depth spatial sequencing, HCC, Cancer microenvironment, cell-cell interaction, Immune responses
Received: 25 Mar 2025; Accepted: 22 May 2025.
Copyright: © 2025 Yu, Liu, Obert, Ren, Krivet, Metcalfe, Liu, Ben-Yeheskel and Luo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jianhua Luo, University of Pittsburgh, Pittsburgh, United States
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