Back

Multi-omics Profiling Reveals an NF-κB-Driven Anti-apoptotic Network Underlying Resistance to Oncolytic VSV in Prostate Cancer Cells

Abdelmageed, A.;Dewhurst, S.;Ferran, M.

2026-07-08 Cancer Biology
10.64898/2026.06.24.734137 bioRxiv
Show abstract

The therapeutic efficacy of oncolytic viruses is often limited by the presence of tumor cells that resist virus-mediated killing. Here, we investigated the molecular mechanisms underlying resistance to Vesicular Stomatitis Virus (VSV) in PC3 cells, an aggressive metastatic prostate cancer (PrCa) cell line, using the VSV-sensitive LNCaP cell line as a comparator. RNA sequencing revealed that, relative to untreated cells, VSV-infected PC3 cells upregulated both pro-apoptotic genes, including BIM, PUMA, and NOXA, and anti-apoptotic and antiviral genes, including A20 and RIG-I. In addition, genes associated with antiviral and pro-survival pathways, including NF{kappa}B and PI3K-Akt signaling, were more highly expressed in PC3 cells than in LNCaP cells. At baseline, PC3 cells also exhibited elevated expression of multiple pro-survival genes, including BCL-xL, MCL1, and CK2, compared with LNCaP cells. Complementary proteomic analyses identified enhanced activation of NF{kappa}B, PI3K-Akt, and MSK1 signaling in VSV-infected PC3 cells relative to infected LNCaP cells. Furthermore, pharmacological inhibition of BCL-2 family proteins or NF{kappa}B signaling restored sensitivity to VSV-induced cell death in PC3 cells. Collectively, these findings identify NF{kappa}B-centered pro-survival signaling networks as key contributors to the resistant phenotype of PC3 cells and suggest that combining oncolytic virotherapy with targeted inhibitors may improve therapeutic efficacy in resistant prostate cancers.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 14%
5.6%
2
Frontiers in Immunology
638 papers in training set
Top 2%
5.6%
3
JCI Insight
277 papers in training set
Top 0.9%
5.6%
4
PLOS ONE
5266 papers in training set
Top 30%
4.9%
5
PLOS Pathogens
820 papers in training set
Top 3%
4.4%
6
Viruses
332 papers in training set
Top 1%
4.1%
7
Journal of Virology
499 papers in training set
Top 1%
4.1%
8
Virology
61 papers in training set
Top 0.3%
3.5%
9
Nature Communications
5641 papers in training set
Top 35%
3.3%
10
Oncogene
85 papers in training set
Top 0.7%
2.8%
11
iScience
1154 papers in training set
Top 9%
2.7%
12
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 21%
2.5%
13
Cell Death Discovery
58 papers in training set
Top 0.3%
2.4%
50% of probability mass above
14
Clinical Cancer Research
64 papers in training set
Top 0.9%
2.2%
15
eLife
5828 papers in training set
Top 43%
2.2%
16
Journal of Biological Chemistry
690 papers in training set
Top 5%
1.8%
17
Cell Reports Medicine
153 papers in training set
Top 2%
1.8%
18
International Journal of Molecular Sciences
494 papers in training set
Top 9%
1.5%
19
The Prostate
11 papers in training set
Top 0.1%
1.4%
20
Molecular Cancer Research
49 papers in training set
Top 0.9%
1.2%
21
Cancers
213 papers in training set
Top 4%
1.2%
22
The Journal of Pathology
26 papers in training set
Top 0.5%
1.2%
23
Journal of Translational Medicine
57 papers in training set
Top 1%
1.2%
24
Cell Reports
1498 papers in training set
Top 22%
1.2%
25
Molecular Therapy Nucleic Acids
39 papers in training set
Top 0.6%
1.2%
26
Biology
45 papers in training set
Top 0.5%
1.1%
27
EMBO Reports
263 papers in training set
Top 6%
1.1%
28
Advanced Science
286 papers in training set
Top 8%
1.0%
29
Communications Biology
993 papers in training set
Top 27%
0.9%
30
Cell Death & Disease
126 papers in training set
Top 3%
0.9%