Back

Interferon Beta Drives Therapy Resistance in a Patient Derived Model of High Grade Serous Ovarian Cancer

Conant, A.; Suzuki, T.; McGivney, K.; Ayyadevara, V. S. S. A.; Asariah, S.; Deng, J.; Nyein, E.; Coats, J.; Yu, G.; Ioffe, Y. J.; Hurtz, C.; Unternaehrer, J. J.

2026-01-28 cancer biology
10.64898/2026.01.27.699126 bioRxiv
Show abstract

Cancer cell-autonomous type 1 interferon (IFN-1) production and signaling is frequently activated in response to DNA damage and has been associated with the development of therapy resistance in several cancer types. However, its cell-autonomous role in driving resistance in high-grade serous ovarian cancer (HGSOC), a disease defined by near-universal exposure to genotoxic therapy as frontline treatment, remains unclear. Specifically, whether IFN-1 functions in HGSOC as only a response to genotoxic stress or can independently act in driving resistance phenotypes has not been studied. Utilizing a syngeneic patient-derived model of cisplatin-sensitive (SE) and -resistant (CR) HGSOC, we demonstrate that chronic cisplatin exposure is associated with enrichment of IFN-1 signaling and the interferon-related DNA damage resistance signature (IRDS). Acute cisplatin treatment elicited dynamic, temporal IFN-1 signaling and responses in both sensitive and resistant cells, indicating a conserved stress response in resistant cells. Chronic, low-level exposure to exogenous IFN{beta}, in the absence of a DNA-damaging agent, was sufficient to phenocopy several features of chronic cisplatin driven resistance, including reduced therapeutic sensitivity, cell cycle arrest, and decreased proliferation. Notably, IFN{beta} driven resistance occurred without sustained IRDS or canonical interferon stimulated gene (ISG) induction, revealing alternative mechanisms for IFN-1 mediated therapy resistance. Together, these findings identify IFN{beta} as a functional driver of the development of resistance-associated phenotypes and highlight cell-autonomous IFN-1 signaling as a potential biomarker for resistance and a therapeutic target in platinum-resistant disease.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Cancer Research
116 papers in training set
Top 0.1%
14.5%
2
Cell Reports
1338 papers in training set
Top 3%
9.9%
3
Clinical Cancer Research
58 papers in training set
Top 0.1%
8.3%
4
JCI Insight
241 papers in training set
Top 0.3%
8.3%
5
Oncogene
76 papers in training set
Top 0.2%
6.2%
6
Journal of Clinical Investigation
164 papers in training set
Top 1%
3.5%
50% of probability mass above
7
Cancer Discovery
61 papers in training set
Top 0.6%
3.5%
8
Cell Reports Medicine
140 papers in training set
Top 2%
3.0%
9
Nature Communications
4913 papers in training set
Top 43%
2.8%
10
Molecular Cancer Therapeutics
33 papers in training set
Top 0.2%
2.6%
11
Developmental Cell
168 papers in training set
Top 7%
2.1%
12
eLife
5422 papers in training set
Top 39%
1.9%
13
Genome Medicine
154 papers in training set
Top 4%
1.9%
14
Molecular Cell
308 papers in training set
Top 6%
1.8%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 33%
1.7%
16
Cell Chemical Biology
81 papers in training set
Top 2%
1.6%
17
Science Signaling
55 papers in training set
Top 0.2%
1.3%
18
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.3%
19
Cancers
200 papers in training set
Top 3%
1.3%
20
Molecular Cancer Research
42 papers in training set
Top 0.5%
1.2%
21
Nature Cancer
35 papers in training set
Top 1%
0.9%
22
Cancer Research Communications
46 papers in training set
Top 1%
0.7%
23
Cell Death & Disease
126 papers in training set
Top 3%
0.7%
24
Gastroenterology
40 papers in training set
Top 2%
0.7%
25
Cancer Cell
38 papers in training set
Top 2%
0.7%
26
Science Translational Medicine
111 papers in training set
Top 7%
0.7%
27
Nucleic Acids Research
1128 papers in training set
Top 20%
0.6%
28
Cell Death & Differentiation
48 papers in training set
Top 1%
0.6%
29
Journal of Experimental Medicine
106 papers in training set
Top 5%
0.6%
30
Science Advances
1098 papers in training set
Top 33%
0.6%