Back

Impact of glycoengineering and immunogenicity on the anti-cancer activity of a plant-made lectin-Fc fusion protein

Dent, M.; Mayer, K. L.; Verjan Garcia, N.; Guo, H.; Kajiura, H.; Fujiyama, K.; Matoba, N.

2022-05-31 cancer biology
10.1101/2022.05.31.494188 bioRxiv
Show abstract

Plants are an efficient production platform for manufacturing glycoengineered monoclonal antibodies and antibody-like molecules. Avaren-Fc (AvFc) is a lectin-Fc fusion protein or lectibody produced in Nicotiana benthamiana, which selectively recognizes cancer-associated high-mannose glycans. In this study, we report the generation of a glycovariant of AvFc that is devoid of plant glycans, including the core 1,3-fucose and {beta}1,2-xylose residues. The successful removal of these glycans was confirmed by glycan analysis using HPLC. This variant, AvFc{Delta}XF, has significantly higher affinity for Fc gamma receptors and induces higher levels of luciferase expression in an antibody-dependent cell-mediated cytotoxicity (ADCC) reporter assay against B16F10 murine melanoma cells without inducing apoptosis or inhibiting proliferation. In the B16F10 flank tumor mouse model, we found that systemic administration of AvFc{Delta}XF, but not an aglycosylated AvFc variant lacking affinity for Fc receptors, significantly delayed the growth of tumors, suggesting that Fc-mediated effector functions were integral. AvFc{Delta}XF treatment also significantly reduced lung metastasis of B16F10 upon intravenous challenge whereas a sugar-binding-deficient mutant failed to show efficacy. Lastly, we determined the impact of anti-drug antibodies (ADAs) on drug activity in vivo by pretreating animals with AvFc{Delta}XF before implanting tumors. Despite a significant ADA response induced by the pretreatment, we found that the activity of AvFc{Delta}XF was unaffected by the presence of these antibodies. These results demonstrate that glycoengineering is a powerful strategy to enhance AvFcs antitumor activity.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Antibody Therapeutics
16 papers in training set
Top 0.1%
12.9%
2
eLife
5828 papers in training set
Top 16%
6.8%
3
mAbs
32 papers in training set
Top 0.1%
5.2%
4
Scientific Reports
3612 papers in training set
Top 22%
4.4%
5
Frontiers in Immunology
638 papers in training set
Top 3%
3.6%
6
Glycobiology
35 papers in training set
Top 0.1%
3.5%
7
PLOS ONE
5266 papers in training set
Top 37%
3.3%
8
Antiviral Research
50 papers in training set
Top 0.2%
3.2%
9
Cell Chemical Biology
94 papers in training set
Top 0.5%
2.7%
10
Frontiers in Oncology
103 papers in training set
Top 1%
2.5%
11
Communications Biology
993 papers in training set
Top 8%
2.5%
50% of probability mass above
12
Cell Reports
1498 papers in training set
Top 15%
2.4%
13
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.3%
1.8%
14
Molecular Cancer Therapeutics
40 papers in training set
Top 0.5%
1.8%
15
iScience
1154 papers in training set
Top 17%
1.7%
16
Frontiers in Pharmacology
111 papers in training set
Top 2%
1.7%
17
Journal of Immunological Methods
24 papers in training set
Top 0.2%
1.4%
18
Journal of Experimental Medicine
119 papers in training set
Top 2%
1.4%
19
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 34%
1.1%
20
PLOS Pathogens
820 papers in training set
Top 7%
1.1%
21
Neoplasia
23 papers in training set
Top 0.6%
1.1%
22
Journal of Biological Chemistry
690 papers in training set
Top 8%
1.1%
23
Vaccines
198 papers in training set
Top 3%
1.1%
24
Cell Reports Medicine
153 papers in training set
Top 4%
1.0%
25
Cancer Immunology, Immunotherapy
12 papers in training set
Top 0.2%
0.9%
26
Pharmaceuticals
34 papers in training set
Top 1%
0.9%
27
Heliyon
152 papers in training set
Top 7%
0.9%
28
Virology
61 papers in training set
Top 1%
0.9%
29
mBio
833 papers in training set
Top 11%
0.9%
30
Cancer Research
130 papers in training set
Top 3%
0.9%