Back

B7-H3 Modulates Cell Adhesion and Immune Evasion to Promote Tumor Progression and Natural Killer Cell Resistance in Hepatocellular Carcinoma

Han, S. H.; Cheon, Y. J.; Lee, H. M.; Seo, H.; Lee, J. Y.; Kim, M. J.; Yoon, S. R.; Choi, D.; Ryu, C. J.

2026-03-31 cancer biology
10.64898/2026.03.28.714951 bioRxiv
Show abstract

B7-H3 (CD276) is an immune checkpoint molecule frequently overexpressed in hepatocellular carcinoma (HCC) and represents a promising therapeutic target. However, its roles in tumor cell adhesion, metastatic behavior and immune evasion--particularly in interactions with natural killer (NK) cells--remain incompletely understood. In the present study, B7-H3 was depleted using small interfering RNA and CRISPR/Cas9 in epithelial (Huh7 and HepG2) and mesenchymal (SNU449) HCC cell lines. Tumor cell survival, apoptosis, adhesion, migration and invasion were evaluated using functional assays. Expression of adhesion molecules and immune checkpoint proteins was assessed by flow cytometry and western blotting. Oncogenic signaling pathways were analyzed by examining phosphorylation of Akt, ERK, FAK and STAT3. NK cell-mediated cytotoxicity was assessed using primary human NK cells. B7-H3 depletion reduced clonogenic survival and increased apoptosis in mesenchymal HCC cells under anchorage-independent conditions. Loss of B7-H3 impaired cell adhesion, migration and invasion, accompanied by downregulation of PTGFRN, E-cadherin, integrin 3 and integrin V, and reduced cell-to-cell aggregation under anchorage-independent conditions. B7-H3 depletion also decreased surface expression of PD-L1, PD-L2 and CD47. Notably, B7-H3-deficient cells exhibited enhanced susceptibility to primary NK cell-mediated cytotoxicity. Mechanistically, B7-H3 promoted tumorigenic signaling through Akt/S6, MVP/ERK and FAK/Src pathways in epithelial cells, and through FAK/Src and JAK2/STAT3 pathways in mesenchymal cells. Together, these findings reveal previously unrecognized roles for B7-H3 in coordinating adhesion and NK immune evasion in HCC, and support its therapeutic targeting for next-generation immunotherapies.

Matching journals

The top 17 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 16%
4.9%
2
Nature Communications
4913 papers in training set
Top 32%
4.9%
3
Cell Death & Disease
126 papers in training set
Top 0.1%
4.9%
4
Cancers
200 papers in training set
Top 1%
4.0%
5
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
3.6%
6
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.3%
3.6%
7
Cell Reports
1338 papers in training set
Top 17%
3.1%
8
Oncogene
76 papers in training set
Top 0.6%
3.1%
9
Cell Death & Differentiation
48 papers in training set
Top 0.1%
2.8%
10
Advanced Science
249 papers in training set
Top 7%
2.6%
11
Communications Biology
886 papers in training set
Top 5%
2.1%
12
Cell Death Discovery
51 papers in training set
Top 0.4%
2.1%
13
Signal Transduction and Targeted Therapy
29 papers in training set
Top 0.5%
2.1%
14
Frontiers in Immunology
586 papers in training set
Top 4%
1.9%
15
Cell Communication and Signaling
35 papers in training set
Top 0.3%
1.9%
16
Journal of Hepatology
18 papers in training set
Top 0.2%
1.8%
17
Frontiers in Oncology
95 papers in training set
Top 2%
1.7%
50% of probability mass above
18
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.7%
19
Gastroenterology
40 papers in training set
Top 1%
1.7%
20
Molecular Cancer
14 papers in training set
Top 0.4%
1.5%
21
Scientific Reports
3102 papers in training set
Top 64%
1.3%
22
Cell Reports Medicine
140 papers in training set
Top 5%
1.3%
23
Cancer Letters
32 papers in training set
Top 0.4%
1.2%
24
Hepatology
18 papers in training set
Top 0.2%
1.2%
25
Theranostics
33 papers in training set
Top 0.9%
1.2%
26
International Journal of Molecular Sciences
453 papers in training set
Top 12%
1.0%
27
PLOS Pathogens
721 papers in training set
Top 7%
1.0%
28
Molecular Cancer Research
42 papers in training set
Top 0.6%
0.9%
29
PLOS ONE
4510 papers in training set
Top 64%
0.9%
30
Neoplasia
22 papers in training set
Top 0.5%
0.9%