Anish Suri
Analyst · Stifel. Please go ahead
Thanks, Ken. And thank you to everyone listening in, and I hope all of you and your families continue to be safe and well. I'd like to underscore on slide 11, our scientific vision to fully exploit the exquisite selectivity and specificity of the immune system while not compromising patient safety. We believe this approach for selective modulation of T cells directly in the patient is distinct and differentiated from other approaches where in broad immune modulation or global systemic activation often present with significant challenges associated with compromise safety, compromised efficacy and tolerability. The Immuno-STAT framework as exemplified by the CUE-100 series, as shown in slide 11 contains the two key signals. Signal 1 and signal 2 for tumor specific T cell activation. CUE-101, our lead clinical candidate is our first drug from the CUE-100series. Signal 1 here on the CUE-100 series consists of stabilized peptide MHC molecules to engage tumor specific T cells via the T cell receptor or TCR, thereby locking in the specificity combined with rationally engineered IL-2 molecules serving as a cause to military signal 2 that selectively act upon those T cells to control their activation directly in the patient. There are two modifications to our IL-2 variant molecule that are important for its specificity and selectivity. The first is abrogation of binding to IL-2 receptor alpha subunit in order to avoid Treg engagement, which labels it as a non-alpha IL-2 variant, the second is attenuated binding to the IL-2 receptor beta sub-unit such that the IL-2 activities biased to those T cells that are docked to the specific peptide HLA complex via their T cell receptors as perhaps best shown at the top down view of the CUE-100 series framework here. Now, we've invested considerable time and effort to define this molecular framework and spatial organization, thereby enabling selective activation of tumor specific T cells, while mitigating or eliminating effects on the vast majority of the irrelevant, non tumor specific T cell repertoire, and thereby minimizing safety liabilities, such as vascular leak syndrome. These features of the CUE-100 series is what distinguishes it from other IL-2 modalities, either wild-type IL-2, or the not alpha IL-2 variants were in the IL-2 broadly acts upon many T cells without preferential bias or specificities towards the desired tumor specific T cell repertoire. We're highly encouraged with the emerging metrics and clinical data associated with CUE-101 and by implication the IL-2 based CUE-100. In addition, the initial PD data continue to demonstrate early evidence of T cell expansion in blood, which will be further bolstered with continued sampling analysis from cohorts 4 and 5 and beyond. The measure of T cells in the periphery, as you can appreciate is a surrogate for mechanism of action with the understanding that the ultimate goal standard for successful immunotherapy is the measure of T cell activity and function within the tumor lesion. To that end, it is important to highlight key observations with respect to the immune stat framework and its potential for direct activity within the tumor tissue. I'll address this more in detail in the following slides. So the next slide, slide 12 shows the data from a recent paper in clinical cancer research wherein we made the observation that the murine CUE-101 treatment resulted in a highly enriched presence of tumor antigen specific T cells in the tumor tissue when compared to the presence of the same T cells in the peripheral compartments like blood or spleen, as we show here, post treatment with – CUE-101 approximately about half a percent of CD8 [ph] T cells measured in blood or spleens, were specific to the tumor antigen. In contrast, in the tumor tissue, the same T cells were enriched by almost two orders of magnitude. Nearly 50% of all CD8s was specific to the tumor. Complementing a published data in clinical cancer research and the data emerging from the current clinical trial, I want to share with you an equally important datas and an observation which is presently impressed and as such details are embargoed, but what I can share is that this preclinical work highlights that the targeting peptide MHC moiety of the CUE-100 scalpel, penetrates and localizes to solid tumor tissue and directly engages antitumor T cells in the tumor tissue. This observation could have very important implications for the differentiated mechanism of action of the CUE-100 series. In other words, the ability to localize and directly engaged TILs within the tumor tissue to activate the effector killing response may be a unique and highly promising property of the Immuno-STAT platform. In light of these important data sets, we believe that expediting a neoadjuvant clinical trial in resectable, localized head and neck cancer will provide convincing translational and biomarker clinical data that further strengthen the case for CUE-101s mechanism of action. Slide 13 here provides an update on CUE-102, our second asset in the CUE-100 series, which targets a unique episode from Wilms Tumor 1 or WT1, a well characterized and attractive oncofetal antigen for many hematological and solid cancers. We've continued to make significant progress with this program, which is being prosecuted with both HLA-A02 and HLA-A24 alleles. We are pleased to inform you that an IND filing for the A02, CUE-102 program is projected for late in the second half of 2021. Data recently presented at the AACR and the New York Academy of Sciences virtual meetings show that CUE-102 selectively expand primary human T cells from blood. These expanded T cells are polyfunctional as measured by cytokine production, and they mediate killing of targets expressing the WT1 antigen. An example of each of these functional attributes is shown in this slide. As predicted by the platform similarity across the CUE-100 series of compounds, the preclinical safety assessment of CUE-102 has mirrored what was noted with CUE-101. That is the rational engineering of IL-2 prevented and minimized or eliminated effects on Tregs and irrelevant T cells. This observation underscores my previous point that the current clinical experience with CUE-101 has an enormous net positive effect in de risking the platform and the CUE-100 based pipeline. Let me briefly comment on the recent developments and exciting prospects with our next generation Neo-STAT platform which is expected to greatly accelerate our scalability and enhance our productivities and efficiencies, both from a time and cost perspective. So the next slide, slide 14 is a schematic of the Neo-STAT platform. A key step forward and platform enhancement was to reproduce the key components of the CUE-100 series scaffold, but without any specific peptide attached to the HLA molecule. To remind you the peptide epitope is an integral part of the Immuno-STAT meaning it's incorporated into the molecule as a fusion protein at the time of synthesis. In contrast, Neo-STAT are synthesized without a peptide epitope that is with an empty MHC pocket. Instead, the peptide epitopes is attached subsequently using an advanced attachment chemistry, as shown in the current figure via the examples of three different peptides bound to the Neo-STAT scaffold. The versatility afforded by this approach is expected to significantly expand our reach into diverse antigens for applications in cancer immunotherapy and more recent interest in emerging infectious diseases, including the SARS coronavirus. From an efficiency perspective, the Neo-STAT platform allows us to generate a core generic scaffold for any HLA allele via a single cell line and then use the scaffold to conjugate various peptides of interest based on the disease to generate therapeutic candidate molecules. The fact that only a single scaffold needs to be generated will save a significant resource in both time and cost for generation of clinical grade material. In our prior presentation, we shared proof-of-concept data supporting the biological activity of molecules generated via the Neo-STAT platform. Shown in slide 15 are representative examples of T cell expansion to a viral epitope, namely from the cytomegalovirus or CMV, or T cell expansion against a tumor antigen, namely from an epitope from MART-1. As shown here, the Neo-STAT platform could be effectively deployed using the IL 2-based CUE-100 series to generate molecules that are enhanced pathogen specific T cells, or tumor specific T cells. The anti CMV T cell responses shown in the left panel were under CMV Neo-STAT shown in dotted red lines expand T cells with the same efficiency as conventional CMV Immuno-STAT shown in solid red lines. The MART-1 Neo-STAT here is a negative control. Similarly, the anti-MART-1 T cell expansions from primary human blood are shown on the right panel. Here again MART-1 Neo-STATs in dotted blue lines demonstrate T cell expansion that is very comparable to what we're seeing with MART-1 Immuno-STAT shown in solid blue lines. As shown in slide 16, based on these promising proof-of-concept studies, we've now initiated preliminary studies to determine the application of the Neo-STAT platform to generate robust T cells against SARS-CoV-2. We believe that the Neo-STAT platform may be uniquely positioned to selectively induce and expand antiviral T cells, especially in instances where pre-existing immunity is non-existent or inadequate. Numerous recent studies have highlighted a key role for T cells in beneficial outcomes in SARS-CoV-2 infections. Furthermore, while most vaccines are focused on generation of protective neutralizing antibodies, as a prophylactic measure, induction and expansion of anti SARS-CoV-2 T cells may be a unique determinant of therapeutic immunity especially in circumstances where the virus is present in the intracellular compartment in infected host cells, and is largely invisible to antibodies in the extracellular mlu [ph]. We are very excited about the prospect of deploying a science and innovation to help with the SARS coronavirus global pandemic and look forward to providing updates on our progress in this new direction in the near future. Lastly, additional data underscoring the protein engineering design and manufacturability of Neo-STAT were disclosed at a recent presentation at the PEGS Virtual Meeting this past week. More details with regard to this presentation are available on our website. Then we move on to slide 17 that highlights our pipeline progress. We've made significant progress with CUE-101 in the Phase 1 dose escalation monotherapy trial as you heard, and are well positioned for the combination trial with pembrolizumab scheduled to start next month. CUE-102 with WT1 and two different HLA alleles, HLA-A02 and HLA-A24 continues to make strong progress with a planned IND submission for late 2021 as mentioned before. We've also made promising progress with our KRAS program within the CUE-100 series and are planning to share those data at an appropriate forum in the near future. We continue to extend the application of a platform with the CUE-200 series where we have early datasets with cell surface receptors such as CD80, and 4-1BB ligand. To that end we recently co-authored a paper published in PLOS in June 2020 with Dr. Steve Almo, the co-founder of Cue Biopharma. This study deployed structure based rational protein engineering to desect the molecular interface between PD ligand CD80 and CD28 CTLA four interactions to enable the choice of modules for future Immuno-STAT such as the CUE-200 series. And finally, as disclosed recently, we continue to make progress in autoimmunity with the CUE-300 series when we've successfully generated Immuno-STATs incorporating class II HLA alleles to selectively target and modulate auto reactors CD4 T cells. As we've underscored in prior presentations, the Immuno-STAT and by extension, the Neo-STAT platform address a fundamental immunological challenge, which is how does one maintain selectivity and specificity of a desirable immune response without breaching patient safety of creating toxicities? We believe our approach built upon rational protein engineering, which is now bolstered by the supporting data sets offer a highly promising solution to patients suffering from cancer, autoimmune diseases and threats from pathogenic infections. With that, I will now turn the call over to Kerri to review our financial results. Kerri?