Back

Mono-ADP-ribosylation-driven immunosuppression and cross-resistance to therapy through cancer cell intrinsic and extrinsic mechanisms

Sun, Y.; Tang, Y.; Singh, V. T.; Holczbauer, A.; Basavaraja, R.; Bui, Q. T.; Lee, J.-H.; Gao, R.; Edwards, A. C.; Guo, W.; Diehl, J. A.; Fan, Y.; Koumenis, C.; Baslan, T.; Stanger, B.; Cohen, M. S.; Spiegelman, V.; Fuchs, S.

2026-06-03 cancer biology
10.64898/2026.06.01.729331 bioRxiv
Show abstract

Mono-ADP-ribosylation (MARylation) is emerging as an important regulator of anti-cancer immunity and immunosuppressive tumor microenvironment (TME). Our previous studies showed that PARP11, one of several enzymes that facilitate MARylation, regulates the activities of intratumoral cytotoxic T lymphocytes (CTLs) and regulatory T cells (Tregs). Here, we demonstrate that stimuli such as adenosine, epinephrine, or glucagon-like peptide-1 (GLP1) induced PARP11 in cancer cells. Upregulation of PARP11 in cancer cells led to PARP11-mediated MARylation, ubiquitination, and accelerated degradation of MHC-I through the autophagy-lysosomal pathway. Induction of PARP11 protected cancer cells from killing by specific CTLs and stimulated tumor growth and progression. Genetic ablation of PARP11 attenuated MHC-I MARylation, ubiquitination, and interaction with autophagy receptors. Pharmacologic inhibition of PARP11 in pancreatic ductal adenocarcinoma (PDAC) cells restored their MHC-I levels, sensitized them to killing by CTLs, inhibited tumor growth, and impeded their initial resistance to chemotherapy and their acquired resistance to targeted therapy with RAS inhibitors. Moreover, inhibition of PARP11 prevented hyperprogressive disease in a mouse melanoma model treated with immune checkpoint inhibitors (ICBs), suggesting that PARP11 is a major therapeutically actionable driver of immunosuppression in tumors. SYNOPSISInduction of PARP11 in the tumor microenvironment mediates immunosuppression. This study reports that PARP11-driven MARylation and ubiquitination of MHC-I in cancer cells drives immune evasion, tumor growth and resistance to therapies.

Matching journals

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

1
Oncogene
85 papers in training set
Top 0.1%
18.4%
2
Cancer Research
130 papers in training set
Top 0.1%
13.0%
3
Molecular Cancer Therapeutics
40 papers in training set
Top 0.1%
6.2%
4
Cell Reports
1498 papers in training set
Top 6%
6.2%
5
Cell Communication and Signaling
51 papers in training set
Top 0.2%
3.2%
6
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 0.7%
3.2%
50% of probability mass above
7
Cancer Letters
35 papers in training set
Top 0.2%
3.1%
8
Nature Communications
5641 papers in training set
Top 40%
2.4%
9
Cancer Research Communications
51 papers in training set
Top 0.6%
2.4%
10
Journal of Clinical Investigation
179 papers in training set
Top 2%
2.4%
11
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 24%
2.1%
12
Science Signaling
65 papers in training set
Top 0.5%
2.1%
13
Cell Death & Disease
21 papers in training set
Top 0.2%
2.1%
14
Cell Death Discovery
58 papers in training set
Top 0.4%
2.1%
15
Molecular Cancer Research
49 papers in training set
Top 0.5%
2.1%
16
Clinical Cancer Research
64 papers in training set
Top 1%
1.7%
17
JCI Insight
277 papers in training set
Top 4%
1.7%
18
EMBO Molecular Medicine
95 papers in training set
Top 1%
1.4%
19
eLife
5828 papers in training set
Top 55%
1.3%
20
Theranostics
37 papers in training set
Top 0.6%
1.3%
21
Cancer Discovery
66 papers in training set
Top 1%
1.1%
22
Cancers
213 papers in training set
Top 4%
1.1%
23
British Journal of Cancer
49 papers in training set
Top 1%
1.0%
24
BMC Cancer
67 papers in training set
Top 2%
1.0%
25
Gastroenterology
42 papers in training set
Top 0.9%
1.0%
26
OncoImmunology
24 papers in training set
Top 0.8%
0.6%
27
Cancer Immunology Research
35 papers in training set
Top 1.0%
0.6%
28
Science Advances
1243 papers in training set
Top 33%
0.6%