Daniel Steiner
Analyst · Octavian. Please go ahead
Perfect. Thank you very much Anne and welcome everyone from my side for this call. So it's a pleasure to, on behalf of the team, give you an update on our Radio- DARPin therapy platform and respective pipeline assets. So as you probably all of you know, the field of radio therapeutics is experiencing a lot of excitement, push, driven all by strong clinical efficacy and good tolerability data that first compounds on the market or a new emerging compound deliver. What is limiting the expansion of this amazing promise to other cancer types is vectors that are matching targeted radiotherapeutics requirements and allow a broad target space to be common. And that's exactly where we saw the benefit of the opportunity to come in this DARPin. If you move to Slide 25, so just for those of you who are not familiar with radiotherapy, the ideal properties of a radiotherapy product candidate are to deliver the radioisotope selectively to the tumor while sparing healthy tissue. And there's a special focus on kidneys and bone marrow. Bone marrow being very tightly connected to blood levels, which are the most dose-limiting organs. If you move to Slide 27 -- 26, apologies. So on the left-hand side, if you had a target in mind with a cavity where low molecular weight compound vector with high affinity and specificity can be identified, this is perfect. This is the ideal targeting moiety. The problem is that there is very limited target where this exists, where this possibility holds up. So to open up the target space, the most proven class are protein-protein binders where you can generate high-affinity and specific binding proteins that bind surfaces of a broad range of tumor targets. And to this class belong the monoclonal antibodies and antibody fragments and all other small proteins. The problem here is that all. of these protein-protein binders have key limitations for the effective and safe use as radiotherapeutic vectors. For antibodies, the high or long systemic half-life, high life is leading to bone marrow toxicities and the size is leading to a limited tumor penetration. And for the small proteins, they are limited by kidney accumulation and lower tumor uptake. So please remember those two elements, high kidney uptake and low tumor -- high kidney accumulation and low tumor uptake. This is the dimensions where we felt looking into the molecular properties and biological mechanisms behind this, the team had a strong conviction that the DARPin platform is ideally suited to exactly building on the unique properties of DARPin to overcome these challenges. So if you move to slide 27, so this is just like showing you the engine that the team has built for building our radio DARPin therapeutics candidate. Starting from the left-hand side, the starting point is, as for all our projects, building a diverse set of high affinity DARPin against a specific target of which, where you see, and that's always the lower graph, these DARPin, they're nicely accumulating the tumor, but at the same time, still have very high kidney levels. So, in the next step, we address the first limitation, the kidney. So, what we've been building is what we call stealth design, which I will show you more data -- a bit of data on the next two slides, where we reduce the kidney level down to below 25%. As a next step, we are addressing the second limitation, so we're bringing up the tumor load by using our half-life toolbox specifically built for radio-DARPin therapeutics, increasing the tumor uptake by keeping the systemic exposure low. And if needed, as a last step, we are building -- we are increasing affinity of the respective binders to ensure tumor retention. So the novel two aspects of the radio-DARPin therapeutic engine are the two middle ones, step number two and step number three, and I'm going to show you a bit more of -- a bit of data to these two points. So if you move to Slide 27, please focus first on the upper right side cartoon where you see, this is what we call a normal or parental-DARPin. What happens if that DARPin gets excreted by the kidney, it gets into the primary urine, fear, as all other proteins as well. It's reabsorbed. You get a lot of radioactivity into the kidney, and this is causing kidney damage. What we've been building on is the extremely robust architecture of the DARPin scaffold, heavily re-engineered the whole backbone and we call this the stealth DARPin. And this is now basically not recognized by these cells in the kidney anymore and the DARPin with its radioactivity is directly excluded into the urine. If you move to Slide 29, I'm showing you some in-vivo data supporting the strong kidney reducing effect of the stealth-DARPin. So if you look at the left-hand side first, this is the example of our front-row runner program on DLL3. So, we successfully engineered three out of three DARPins in three to four iterative engineering rounds, each of them taking three to four months, including all the production down to the in-vivo testing. Now if you move over to the right-hand side, you see after integrating all these learnings from the first program, we managed for new tumor antigens for three out of four DARPins within a single round, we managed them to bring them down to low kidney levels. So what I wanted to take home from this is that, we really established a robust, reliable engineering solution to bring kidney down to low levels. So moving over to the second challenge, I'm showing you how we addressed the key limitation of tumor uptake. And this is where we used systemic half-life extension to increase tumor uptake. Focusing on the left-hand side, so you always see two examples here on HER2 and DLL3. On the left-hand side, you have like the naked-stealth-DARPin, which shows a tumor accumulation in the single-digit percent range, very low blood level or non-detectable blood level at these time points. And then if you go over to the right-hand side, we applied different half-life extension [indiscernible] leading to very low or low or medium and increasing systemic exposure. And this nicely drives the tumor uptake up to a 30% on the tumor. And please keep in mind all of these molecules have much lower systemic exposure compared to an antibody. So, quickly summarizing, so the stealth-DARPin for use, kidney accumulation and the half-life extension for increasing tumor uptake is the basis of our radio-DARPin therapeutic engine and basically the basis to build our pipeline. In our pipeline, we have two targets with Novartis, then two targets with Orano Med, including DLL3, and quickly expanding on Orano Med. Extremely happy with the collaboration that we've already started one and a half years ago. Amazing team, great capabilities, great expertise, and also there is like very strong data emerging on lead 212 as a radio client of choice in this specific case. And then we have additional targets which we are moving ourselves, which are not partnered at this current point in time. So we're looking very much forward sharing more data at key upcoming conferences in the next month, months to come. And I'm finishing here, happy to answer questions then in the Q&A session and handing over to Patrick for the outlook.