Inhibition of Cancer Immune Suppression with a First-in-Class Engineered Therapeutic Enzyme
Translational Medicine and Bioengineering Conference
2017
2nd Bioengineering & Translational Medicine Conference
General Submissions
Immunoengineering
Saturday, October 28, 2017 - 1:30pm to 1:45pm
As a proof of concept, we have utilized a highly active bacterial kynureninase to demonstrate that enzymatic elimination of tumor-produced Kyn is an effective anti-cancer therapy. Administration of the bacterial kynureninase to B16-OVA melanoma syngrafts in C57BL/6J mice reduced serum Kyn level, resulted in significant tumor growth retardation, and extended survival in a manner indistinguishable from that observed with the immune checkpoint inhibitor antibodies, α-PD-1 or α-CTLA-4. Consistent with the hypothesis that depletion of Kyn relieves immune inhibition, we observed a marked increase in CD8+ tumor-infiltrating lymphocytes expressing Granzyme B and IFNγ and enhanced proliferation of CD4+ and CD8+ T cells in the tumor. Importantly, combination therapy of kynureninase and α-PD-1 resulted in complete tumor eradication in 60% of mice (n=10 per group), with all survivors completely rejecting tumors following re-challenge. For comparison, α-PD-1 treatment alone resulted in only 20% long-term survival. Therefore, we have demonstrated that a highly active bacterial kynureninase enzyme displays a significant anti-tumor efficacy as a monotherapy and excellent synergy with antibody checkpoint inhibitors and represents a first-in-class immune checkpoint inhibition enzyme.
Despite its effectiveness, the bacterial kynureninase is not a realistic therapy for clinical use because it is highly immunogenic and has low serum stability (T1/2 = ~1 hour). There exists a human kynureninase enzyme, but it is ~700X weaker than the bacterial enzyme so it elicits no in vivo anti-tumor effect. Therefore, we have undertaken a large-scale protein engineering effort to increase the catalytic active and stability of the non-immunogenic, human kynureninase enzyme to develop a clinical candidate. We first developed parallel genetic selection systems in E. coli and S. cerevisiae that enable high throughput screening of >108 variants per library. Through numerous rounds of directed evolution, employing error-prone library construction, comprehensive codon mutagenesis, targeted mutagenesis of disparate residues, phylogenetic guided mutations, and DNA shuffling, we successfully engineered human variants having >600X improved activity over wildtype that show in vivo efficacy. Further efforts to reduce mutational burden, improve stability, and optimize expression will also be discussed.