Back

Hepatocellular Carcinoma Revisited from Single Cell Sequencing: Dynamic Evolution from Epithelial Dedifferentiation to Mesenchymal Remodeling

Yan, K.; Dong, W.; Wu, Y.; Han, Z.; Hong, J.; Ma, H.; Zhu, C.; Xiong, Y.; Yang, Z.

2026-04-28 cancer biology
10.64898/2026.04.24.720317 bioRxiv
Show abstract

BackgroundSingle-cell RNA sequencing has provided new insights into hepatocellular carcinoma (HCC); however, a unified understanding of epithelial heterogeneity and immune evasion strategies in HCC remains lacking. MethodsWe re-analyzed publicly available single-cell datasets using conventional bioinformatics pipelines. Cell-type annotation of epithelial and T cell populations was further validated across multiple independent datasets to ensure robustness. ResultsWe systematically examined epithelial, immune, myeloid, and stromal lineages. In addition to recapitulating previously reported findings, we identified several novel observations. Notably, we uncovered a three-step dedifferentiation trajectory in epithelial cells and confirmed a bidirectional differentiation pattern within CD8{square} T cells. We also identified a subset of GZMK{square} CD4{square} T cells, whose transcriptional features resemble but are distinct from T follicular helper (Tfh) cells. Importantly, transcriptional drift within myeloid populations appeared to be closely associated with immune responsiveness. Furthermore, ligand-receptor analysis highlighted a potential cooperative role of LAMP3{square} dendritic cells and Tfh cells in promoting lymphoid follicle formation. ConclusionsIn the era of rapidly evolving single-cell sequencing technologies, we provide a framework for understanding cellular heterogeneity in HCC, which awaits further validation in future studies.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 19%
10.0%
2
Cell Reports Medicine
140 papers in training set
Top 0.2%
8.1%
3
Gut
36 papers in training set
Top 0.1%
6.7%
4
Journal of Hepatology
18 papers in training set
Top 0.1%
6.3%
5
Genome Medicine
154 papers in training set
Top 2%
4.3%
6
Frontiers in Oncology
95 papers in training set
Top 1%
3.6%
7
BMC Medicine
163 papers in training set
Top 2%
2.7%
8
Gastroenterology
40 papers in training set
Top 0.8%
2.3%
9
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.5%
2.1%
10
Cancer Cell
38 papers in training set
Top 0.8%
2.1%
11
eBioMedicine
130 papers in training set
Top 0.8%
2.1%
50% of probability mass above
12
Journal of Translational Medicine
46 papers in training set
Top 0.7%
1.8%
13
Cancers
200 papers in training set
Top 3%
1.7%
14
Frontiers in Immunology
586 papers in training set
Top 4%
1.7%
15
npj Precision Oncology
48 papers in training set
Top 0.7%
1.5%
16
Cell Genomics
162 papers in training set
Top 4%
1.5%
17
Cell Reports
1338 papers in training set
Top 26%
1.5%
18
PLOS Computational Biology
1633 papers in training set
Top 18%
1.5%
19
Communications Biology
886 papers in training set
Top 13%
1.3%
20
Scientific Reports
3102 papers in training set
Top 64%
1.3%
21
International Journal of Cancer
42 papers in training set
Top 0.8%
1.3%
22
Cancer Immunology Research
34 papers in training set
Top 0.4%
1.2%
23
PLOS ONE
4510 papers in training set
Top 60%
1.2%
24
OncoImmunology
22 papers in training set
Top 0.3%
1.2%
25
Hepatology
18 papers in training set
Top 0.3%
1.2%
26
eLife
5422 papers in training set
Top 49%
1.2%
27
Modern Pathology
21 papers in training set
Top 0.3%
1.1%
28
Cancer Research
116 papers in training set
Top 3%
0.9%
29
The Journal of Pathology
22 papers in training set
Top 0.3%
0.9%
30
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 6%
0.7%