Abstract 4456: Discovery of E7766: A representative of a novel class of macrocycle-bridged STING agonists (MBSAs) with superior potency and pan-genotypic activity
Authors: Atsushi ENDO, Dae-Shik Kim, Kuan-Chun Huang, Ming-Hong Hao, Steven Mathieu, Hyeong-wook Choi, Utpal Majumder, Xiaojie Zhu, Yongchun Shen, Kristen Sanders, Thomas Noland, Dinesh Chandra, Yu Chen, Karen TenDyke, Kara Loiacono, Donna Kolber-Simonds, Rongrong Jiang, Vaishali Dixit, Janna Hutz, John Wang, Xingfeng Bao, Francis Fang, Nadeem Sarwar
Journal: Cancer Research (2019)

Abstract Introduction STING (stimulator of interferon genes) is an emerging target for cancer immunotherapy. 2’,3'-cGAMP, a natural cyclic dinucleotide (CDN) STING agonist, and its phosphorothioate analogs, have drawn broad attention as lead molecules for STING targeted drug discovery. These CDNs, however, lack efficacy in some common STING genotypes disproportionally represented in non-Caucasians. Moreover, such CDNs have not fully addressed liability in chemical/metabolic stability. Here we report our chemistry approach to control STING agonist conformation to enhance binding affinity across all common STING genotypes and broaden the therapeutic potential of such compounds. Methods Our SBDD approach started with analysis of the binding pocket and key protein-ligand interactions to prioritize a focused set of analogs for chemical synthesis. Systematic SAR was built upon in vitro assays for STING binding affinity and activation of STING genotypes. X-ray single crystal structures were established for STING and diverse analogs, in free and bound states, to provide structural insight for rational analog design. Results Structural modeling was refined to evaluate different binding modes and dynamic conformational changes in the STING-ligand interface. We observed that STING-bound CDNs had the two ancillary nucleobases specifically oriented in close proximity with parallel pi-pi stacking and discovered that covalently linking the nucleobases advantageously pre-organize the bioactive constrained conformation for enhanced STING affinity. Our discovery established a novel class of macrocycle-bridged STING agonists (MBSAs). E7766, a representative of Eisai MBSA platform, shows superior in vitro activity against all the major human STING genotypes over reference CDNs, most distinctly in STINGREF. E7766 co-crystal structures with STINGWT and STINGREF provide structural basis for the added benefit of the topological novelty. The macrocyclic linker bridging the top of nucleobases perturbs the STING lid loop conformation and create new and specific interactions with both genotypes. In twelve subcutaneous tumor models in immune competent mice, single intra-tumoral injections achieved either complete regression or significant tumor growth delay with no serious adverse effect. E7766 also shows excellent chemical and metabolic stability, presumably conferred by conformational rigidity of the unique macrocycle bridge. More biological characterization of E7766 can be found in abstract #. Conclusion Eisai successfully discovered E7766, a representative of a novel class of macrocycle-bridged STING agonist topologically distinct from conventional STING agonists. E7766 demonstrated pan-genotypic STING activation, potent anti-cancer activities and excellent chemical and metabolic stability for further development. Citation Format: Atsushi ENDO, Dae-Shik Kim, Kuan-Chun Huang, Ming-Hong Hao, Steven Mathieu, Hyeong-wook Choi, Utpal Majumder, Xiaojie Zhu, Yongchun Shen, Kristen Sanders, Thomas Noland, Dinesh Chandra, Yu Chen, Karen TenDyke, Kara Loiacono, Donna Kolber-Simonds, Rongrong Jiang, Vaishali Dixit, Janna Hutz, John Wang, Xingfeng Bao, Francis Fang, Nadeem Sarwar. Discovery of E7766: A representative of a novel class of macrocycle-bridged STING agonists (MBSAs) with superior potency and pan-genotypic activity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4456.