Back

Ebna1 Inhibitors Reveal Cdc7 And Pou2F1 As Direct Functional Targets In Ebv Epithelial Cancers

He, S.; Terhuja, N.; Soldan, S. S.; Chen, C.; Cassel, J.; Yin, X.; Liu, Q.; Chung, S. S.; Castro-Munoz, L. J.; Yoon, L.; Wang, J.; Salvinoa, J. M.; Gewurz, B.; Tempera, I.; Messick, T.; Lieberman, P. M.

2026-02-09 microbiology
10.64898/2026.02.05.703959 bioRxiv
Show abstract

Epstein-Barr virus (EBV) latent infection is causally linked to several epithelial cancers, including endemic forms of undifferentiated nasopharyngeal carcinoma (NPC) and to a subtype of gastric cancer (GC). EBNA1 is the viral-encoded sequence-specific DNA-binding protein required for episome maintenance but also contributes to host-cell survival through multiple mechanisms including binding to host chromosome. We previously developed small molecule inhibitors of EBNA1 DNA-binding that block host cell cycle progression and growth of EBV+ tumors in vivo. However, the underlying molecular mechanisms of EBNA1 function and inhibition have not been completely elucidated. In this study, we employ VK1727 to inhibit EBNA1 DNA-binding to viral and cellular genomes in three EBV+ epithelial tumors (PDX C15, C666-1 and SNU719). We integrate EBNA1ChIP-seq and transcriptomic RNA-seq analyses to identify the cell cycle dependent kinase CDC7 and a stem cell transcription factor POU2F1 as direct functional targets of EBNA1 in these epithelial cancers. EBNA1 binding to CDC7 promoter and POU2F1 intron promotes RNA Pol II-pS5 to initiate transcription of these two genes. We show that CDC7 inhibitor Simurosertib is epistatic, while Bcl2 inhibitor Venetoclax is synergistic with VK1727 in the inhibition of EBV+ epithelial cancer cell proliferation and survival. Our study reveals new functional gene targets and pathways of VK1727 in EBV+ epithelial cancers that provide new biomarkers and combinatorial strategies to treat EBV-driven cancers. IMPORTANCEEBNA1 is essential for EBV latency and tumorigenesis, but its mechanism of action on host gene expression is not yet known. Small molecule inhibitors of EBNA1 DNA-binding block cell cycle progression and inhibit growth of EBV+ tumors. In this study, we use the EBNA1 small molecule inhibitor VK1727 to identify cellular gene targets that are bound by EBNA1 and deregulated by its pharmacological inhibition in EBV+ epithelial cancer cell lines and an NPC PDX mouse model. We identify cycle dependent kinase CDC7 and the stem cell transcription factor POU2F1 as EBNA1 bound and regulated genes important for EBV epithelial cancer proliferation. These findings not only decipher molecular mechanism how VK1727 blocks cell cycle progression and inhibits cell proliferation but also provide two new cellular gene targets and pathways for therapeutic intervention in EBV+ epithelial cancers.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 1%
18.0%
2
PLOS Pathogens
721 papers in training set
Top 1%
9.9%
3
iScience
1063 papers in training set
Top 1%
6.3%
4
Cell Discovery
54 papers in training set
Top 1%
4.1%
5
Cell Reports
1338 papers in training set
Top 14%
3.8%
6
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 2%
3.5%
7
Signal Transduction and Targeted Therapy
29 papers in training set
Top 0.3%
3.5%
8
Nature Communications
4913 papers in training set
Top 42%
3.2%
50% of probability mass above
9
mBio
750 papers in training set
Top 6%
2.6%
10
Journal of Virology
456 papers in training set
Top 2%
2.4%
11
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 30%
1.9%
12
Science China Life Sciences
26 papers in training set
Top 0.8%
1.9%
13
Journal of Investigative Dermatology
42 papers in training set
Top 0.3%
1.7%
14
PLOS Genetics
756 papers in training set
Top 9%
1.7%
15
PLOS Computational Biology
1633 papers in training set
Top 18%
1.5%
16
Protein & Cell
25 papers in training set
Top 1%
1.5%
17
Journal of Molecular Cell Biology
21 papers in training set
Top 0.3%
1.5%
18
PLOS ONE
4510 papers in training set
Top 59%
1.3%
19
Oncogene
76 papers in training set
Top 1%
1.2%
20
Cell Research
49 papers in training set
Top 2%
0.9%
21
Clinical and Translational Medicine
30 papers in training set
Top 0.8%
0.9%
22
Journal of Clinical Investigation
164 papers in training set
Top 5%
0.9%
23
Genome Medicine
154 papers in training set
Top 8%
0.8%
24
Communications Biology
886 papers in training set
Top 22%
0.8%
25
Nucleic Acids Research
1128 papers in training set
Top 17%
0.8%
26
PLOS Biology
408 papers in training set
Top 20%
0.7%
27
Scientific Reports
3102 papers in training set
Top 75%
0.7%
28
Cell Reports Medicine
140 papers in training set
Top 8%
0.7%
29
Viruses
318 papers in training set
Top 5%
0.7%
30
Journal of Medical Virology
137 papers in training set
Top 5%
0.7%