Roivant Sciences Ltd. (ROIV) Earnings Call Transcript & Summary
January 5, 2023
Earnings Call Speaker Segments
Corinne Jenkins
analystGreat. Well, thanks for coming, Matt, and thanks for everyone who's joining us both in-person and on the web stream. So maybe, Matt, just to start, could you please just provide a brief overview of what you view as the key programs that are going to shape the Roivant story as we think about 2023?
Matthew Gline
executiveSure. And thanks, Corinne, for having me and thanks to the conference for having us. It's great to be here. So I appreciate it. Yes. Look, 2023 is a pretty incredible year for us actually. So I'd say major catalysts across, let's say, 4 programs at Roivant. We have this anti-TL1A antibody RVT-3101 that we in-licensed from Pfizer just last month on which we put out top-line data from our induction study yesterday. So there's additional data coming from that program midyear, first half of the year from our [ maintenance ] study. We have atopic dermatitis data coming from our commercial tapinarof VTAMA cream for psoriasis, that data is in atopic dermatitis. We have data at Immunovant from our next-generation [ ADF ] antibody in the middle of the year. And then we have data coming toward the end of this year from brepocitinib, our TYK2, JAK1 that study in SLE. So a whole bunch of really exciting clinical data coming in 2023.
Corinne Jenkins
analystGreat. And we'll go into each of those programs, I think, in a bit more detail. But to start, I just wanted to touch on capital deployment. And as a company, you just mentioned a couple of them, but Roivant has primarily built its portfolio through the acquisition of various assets with 3 deals just last year. So how do you think about the criteria you use as you assess potential acquisitions?
Matthew Gline
executiveYes, it's a great question. And we have built a lot of our portfolio around acquired in-licensed partnered programs. We've always been therapeutic area agnostic. As it turns out, we've built a pretty good concentration recently in I&I. But that's sort of not on purpose, as it were, just kind of worked out that way. I'd say we are in general obsessed around clinical data, obsessed around individuals or patient-level clinical data and trying to understand what's going on biologically with an agent, and that's been always core to our valuation strategy. And then other than that, it's all about drugs that can matter, things where we think we can do something different in development or where the class is going to matter in a way that we think we appreciate differentially. In an environment like the current one, talk about capital deployment, where the capital markets have been a little bit dicier, the bar for deploying capital is really high. But it's sort of an interesting moment because we're very fortunate. We have quite a significant cash balance. I think last reported number was just under $2 billion. And so we're fortunate from a capital perspective. And in our 8 years of existence, there has never been a more fruitful sort of opportunity environment. Just so many interesting programs are looking for homes. And so it's been -- it's been something that we had to really carefully balance and I've been happy with what we've been able to bring in.
Corinne Jenkins
analystYes. That brings me to my next question, which was, as you think about the landscape for asset acquisition today, could you provide a little more detail on what you're seeing with respect to the availability of these deals, the quality and the value.
Matthew Gline
executiveIt's really never -- it's never been better for us. And some of that is specific. We have a multiyear track record. We have 6 products approved by FDA coming out of our platform. We have many Phase III studies successfully run, many others underway. Our partners now understand what we're capable of, and that's been idiosyncratically helpful, and we are a repeat partner of almost everyone we worked with. So this deal with Pfizer was our third major deal with Pfizer, for example. So that's sort of idiosyncratic to us. But it's also just been a totally unique environment in terms of biotech struggling and trying to figure out sort of where to go for homes for assets, pharma companies focused on prioritization, focused on patent cliffs, focused on sort of portfolio management. And then also once upon a time, not that long ago, when we saw a program, maybe like the TL1A program with Pfizer, for example, look, unavoidably, there would have been half a dozen other like -- other people mostly sort of company creation [ we see ] kind of people, standing in Pfizer's lobby trying to get the same program. And with that model, having at least for the moment dried up, we get to be alone in most of those rooms, and that's been a real privilege also.
Corinne Jenkins
analystThat's helpful. And in the past, the company has also spun assets out and sold them off or gone through IPO processes. How do you think about the criteria for making those decisions? And how much do you think that will be a feature of the strategy moving forward?
Matthew Gline
executiveYes, thanks. That was the thing we did a lot early in our life. I think -- so taking a step back, we have the sort of unique, very modular business model, sort of multi-manager platform for drug development, where we put these programs down as [ Vants ], as you well know. And that gives us a lot of flexibility from an M&A perspective, from a capital planning perspective, we can do lots of things, and we've taken advantage of many of them. We've sold Vants, we financed Vants privately. We financed Vants publicly. We've partnered programs and I like that flexibility. And so for that reason, I'm definitely in like a never-say-never situation here. But our model has evolved over time. As we've become a public company, having public subsidiaries is not as convenient as when you're a private company. And so I'd say that's more been the exception than the rule for the last several years, and I think that will continue to be true. It's really not a primary piece of our model to be -- to taking Vants public and when we in-license program like the Pfizer program, we really love that program. I hope we can own just about all of it or as much as we possibly can for as long as possible. So I think in general, sort of IPO spinout route, less core to the model. But again, we're built in a way that maintains the flexibility to do whatever the sort of best opportunity is for each program and probably some of our programs lend themselves well the partnership for M&A and many of our programs lend themselves well to being internally developed and commercialized, and we'll follow the science and the opportunity in every case.
Corinne Jenkins
analystSure. Maybe jumping into some of these specific programs, and I wanted to touch on VTAMA first. Could you just provide -- so we all get up to speed, a quick overview on the product including its current label and development data?
Matthew Gline
executiveYes, sure. So those who aren't familiar with this, so VTAMA is a topical treatment for psoriasis. It was approved in June of -- I'm sorry, May of last year. It was the -- this is a wild thing even to say. It was the first novel mechanism therapy approved for psoriasis as a topical in 25 years and the 1 that was approved 5 years ago was effectively vitamin D. So it's been a very long time since there was novel science applied to topicals in psoriasis. The mechanism of the drug is an aryl hydrocarbon modulator, which is an inflammatory target that's upstream of like IL-17 and Th17. It has an impact on memory T cell formation. So it's been a really cool program to work on. The science is really interesting. I feel like people think of topicals as having sort of old science, but actually it's a very cool program technically. The data have been great. So in psoriasis, it's got efficacy that is, I'd say, comfortably as good or better than anything that a topical has ever shown before. It's certainly safer and more effective on top of corticosteroids, which I guess this is the other point to make, especially for an investor audience. People think of psoriasis as a market dominated by systemic therapy, but that's just not true. The vast, vast majority of psoriasis treatment is done via topicals. So there's 90,000 topical prescriptions a week in psoriasis and the vast majority of those are for topical corticosteroids. And so yet to be able to put out new science that really matters that is safer and more effective than the standard of care is a great position to be in. So product works well. Label was incredibly clean. From a safety perspective, there was no warnings in precautions section. There was no limitation on disease severity. There is no limitation on where on the body, you can use it. So it's very different from the profile of like a corticosteroid.
Corinne Jenkins
analystGreat. And reimbursement has been a key focus for the VTAMA launch given kind of the history in the space. And so could you give us an update also on the progress with respect to establishing access here?
Matthew Gline
executiveYes. Again, it's a good question. It was obviously -- look, in May of last year when the product got approved, I think a reasonable question was what's access going to look like for novel topicals. Earlier today, Herve was here from Incyte talking about Opzelura. They've gotten pretty good coverage. We've now signed our first major PBM and payer contracts. The PBM contract that we signed that we've talked about is a great contract. It's perfect. It's got really only 1 step through steroid. That step has a couple of different possible ways of achieving it, including an automatic look back that requires no physician action or no action at all. So look, really good coverage. The other thing I think is like generally interesting. So I get questions about gross to net, and we have not sort of guided to a steady-state gross to net. But it sort of feels looking -- forget like topicals or dermatology for a second, like across the field like a new normal has been established for pharmacy-dispensed products, and that's like a sort of 50% steady-state GTN yield if you're a biotech company. And I guess I feel like that's going to apply to us too, that we're going to be in the sort of normal category for these products. It's the dynamics of the [ payer ] landscape we're continuing to change all the time.
Corinne Jenkins
analystYes. And you mentioned the look-back process. Part of the question is like what's the paperwork and the demand on the office. How do you think about the applicability of this deal as you expand into additional indications and then we can talk about [ AD ] in more detail?
Matthew Gline
executiveHow do I think about the applicability?
Corinne Jenkins
analystDo you think you'll see these deals like these kinds of contracts supply beyond psoriasis into the AD market as well?
Matthew Gline
executiveYes. Look, it's hard to speculate until we know what our AD label looks like and what our AD data looks like that's coming in the first half of next year. That said, I think all of the factors that have led VTAMA to be really popular and exciting to docs and patients in psoriasis could certainly equally be true in AD depending on the quality of the data. And so I'm pretty optimistic. Look, I think the world hasn't totally sort of processed the fact that topical corticosteroids are not great drugs. They're somewhat efficacious, but if you want to give yourself bad dreams, you can go like Google or go on TikTok and look for people who talk about topical corticosteroid [ withdrawal ] injuries. It's terrifying. And it's just been the standard for -- I mean, I think like my uncle's -- my uncle's grandfather or something, it was like 1 of the like patent inventors on the triamcinolone patent in 1955. Like these drugs have been around for a very long time. And we've just gotten used to this idea that we slather relatively toxic [indiscernible] on us. And look, I think there's a new world now where we've got these safer, more efficacious topicals, and I'm pretty excited to be part of it.
Corinne Jenkins
analystGreat. And as you think about the AD landscape and the coming Phase III results from ADORING, what do you think you need to show to be competitive in the space? And where do you think the drug fits within the current treatment paradigm?
Matthew Gline
executiveYes. So look, again, I think the hope and the expectation is safer and more efficacious than topical corticosteroid. So I mentioned 90,000 [ scripts ] a week in psoriasis. There are 320,000 topical prescriptions written every week in atopic dermatitis. Again, the vast majority of them are topical corticosteroid. So that's a low but important [ bar to clear ], safer and more effective than topical corticosteroids. On the 1 end of the spectrum for topicals in AD, you've got Opzelura which is a very efficacious drug. It looks very good. It has some JAK class sort of labeling and safety liabilities, but it's a good drug. It's labeled currently, I think, for [ 12 ] and opted for noncontinuous therapy and things like that. But for patients who are [ so that end ] in the spectrum, it's important. And then on the other end of the spectrum, frankly, you have [ as already ] of our competitors' product [indiscernible] to the topical [ PDE4 ] that just put out their 2 studies of AD data. I think that data was fine. I think it's probably as or more efficacious than a steroid or at least close and certainly well tolerated, but not particularly sort of jump-up-and-down exciting. I think 1 sell-side analyst called it "[indiscernible] like." Look, I think that sets a pretty wide range in terms of where we might fit in. Our Phase IIb data was definitely much closer to the top of that range than the bottom. I think our gross efficacy on whatever IgA response rate was like, 49% versus 13% placebo at the 8-week time point. I think if we had anything with a 4 handle, it would be an absolute grand slam in terms of where we would fit. I think anything with a 3 handle is perfectly adequate and it's good enough and puts us in the position of a strong drug. So that's kind of what I think the sort of efficacy bar is. And my hope is that we can go after the mainstay of therapy there that we can be a real viable alternative for topical corticosteroids.
Corinne Jenkins
analystOkay. Great. Maybe switching gears now to RVT-3101, which has been super topical of late. Maybe just provide a quick history on the deal that you guys did there, including kind of the background story.
Matthew Gline
executiveYes. So look, Pfizer has been a very close partner of Roivant for a long time. They are a partner of Myovant on relugolix. We did the brepocitinib deal, which we may talk about brepocitinib later today as well to stick to JAK1. We meet with them frequently. We know them well. And I think that's sort of the first part of the story as we love working with them. We've talked to them for a long time. Our RVT-3101 for those who are not familiar with the drug is an antibody to TL1A, it's a very hot topic right now. Thanks to Prometheus having put out [ quite a data ] last month and us having put out, I would say, equivalently good data or better data yesterday. And it's a class that we think is going to matter in inflammatory and fibrotic disease. Pfizer has been working on the class for a while. We've been talking to them about it for a while. And mostly, we're getting told that they were not interested. But that's sort of the nature of the business, and we stayed on them. I won't speculate here about the exact reasons why Pfizer's opinion on that changed. But they clearly think the program is great. And so once they decided it didn't fit in their immediate R&D strategy, they have a little bit of a puzzle on their hands, which is they needed to, on the 1 hand, find a home for it that allowed them to benefit from its long-term success. I think that was important to them. On the other hand, find somebody who was going to execute on the program well. Look, looking at our data, I think there's no question if they had wanted to, they could have just sold it. But instead of doing that, they chose to partner with us and the deal construct involves them keeping 25% of the JV basically, and then keeping Europe and rest of world, and we have U.S. and Japan. And once they had decided that, that was the construct they wanted, yes, they need to find a partner who is going to accept that sort of deal and be able to execute well. And I think we were in a relatively small, potentially in of 1 of companies that fit that bill. And so yes, we pounced on the opportunity, and we're, again, really excited to be working with them on the drug.
Corinne Jenkins
analystYes, helpful. And you shared data yesterday, as we've talked about, which demonstrated 21% placebo-corrected responses in all comers, compelling efficacy in a biomarker-enrich population some of the other data sets. Can you just contextualize how these results fit within ulcerative colitis today? And also kind of relative to the competitive landscape in TL1A?
Matthew Gline
executiveYes. Look, for starters, look, I think placebo-adjusted deltas for other classes of drugs, certainly for standard of care are like single digits, 10%, 12%, 14%, like much lower numbers. And I think if you sort of listen to sell-side expectations for Prometheus' data before they put it out, I think everyone was like, yes, it's got to be in like that 10% to 15% context to matter. And clearly, TL1A class, both we and Prometheus comfortably in the 20s on a placebo-adjusted basis, has blown that expectation out of the water. It's interesting, I think, like, for example, you mentioned our biomarker data. I think like before we sort of had data from Prometheus or from us, there was a version of the world in which these drugs did like 12% gross or 12% net placebo-adjusted efficacy in the all-comers population and you were looking for like a 10 or 12-point bump from the biomarker. So you got into the 20s where you could be an interesting therapy. And instead, we all just start there, which I think is a pretty remarkable place to be. So we feel really good about where this could fit in the treatment landscape. There's obviously a lot of interesting therapies in development for UC and Crohn's, but our data is sort of right up there at the top end of what people have shown competitively within the TL1A category. So there's really sort of -- 2 sort of directly comparable programs, ours and Prometheus'. There's a couple of other anti-TL1A antibodies out there, but none of them have put out data in these indications of substance. In short, I like our data. Our gross efficacy, not placebo-corrected, was in the low 30s in the relevant treatment arms for all comers, with a sort of 12-ish percent placebo response rate compared with, I think, Prometheus was like 26.5% with a 1.5% placebo response rate or something in that general environment. I think the arm of data that I am most sort of comfortable with is our sort of drug arm of our study had about 200 patients in it in total across doses. So that's a pretty robust data set that sort of gives a lot of heft to the gross efficacy number. And then our placebo arm was a bit smaller and a bit less sick. And Prometheus' placebo arm was also a bit smaller and a bit more sick. So I think like the [ placebo ] will bounce around. But I feel like the gross efficacy here is pretty well supported by the data we've got. So I feel really strongly about where we are.
Corinne Jenkins
analystGreat. And we mentioned the biomarker data and TL1A development has been in part characterized by that biomarker drive approach. So as you think about the approach from a biomarker perspective, what can you share about what you're pursuing with RVT-3101?
Matthew Gline
executiveYes. So again, I think it's sort of interesting to contextualize biomarkers in these therapies. Biomarker therapy is like a relatively newer thing in immunology compared to like precision oncology, where obviously, it's very well established. These are not like binary biomarkers. These are sort of computational algorithms of sort of genetic markers and other things. There's sort of representation of who the patients are. And as a consequence, there's a lot of flexibility in what those algorithms are. And so you could imagine sort of clinical biomarkers that like roughly every patient has. And they obviously would provide no benefit in separating out responders from nonresponders, because everyone's got them. And you could imagine biomarker algorithms that cover a very small percentage of patients, which ideally will provide a quite big separation in terms of the biomarker response rate versus the non-biomarker response rate. And there's some curve in between those things. And we and Prometheus are on pretty different parts of that curve. I think they've said their biomarker covers about 30% of the addressable patient population, ours covers about 60% of addressable patient population. And our biomarker data was about 10 points better than our all-comers data on a placebo-adjusted basis. So about a 30% placebo-adjusted response versus that sort of 20-ish-percent placebo-adjusted response. And then maybe even most exciting to me, in the sort of treatment -- in the treatment refractory like the biologics experienced patient population, we showed a 41% gross efficacy with no placebo response. It's very, very hard to get those patients to respond. And so you generally don't see much placebo response in those subsets. And most therapies erode significantly in that patient population, but our TL1A appears to sort of hold its efficacy, which is great and which sets us up for a pretty interesting sort of second-line therapy approach as well.
Corinne Jenkins
analystYes. And you touched on some of this already, but as you think about maybe zooming out in I&I and potential for precision approaches in that therapeutic area. What do you think are the necessary components for a successful precision approach in I&I and what do you think are the indications where this is kind of the most right for disruption?
Matthew Gline
executiveThat's a hard question because it's not something that's like so well established at this point. I think there's like a few different versions of it. So 1 is the kind of thing that you're seeing now in TL1A, where you've got these like sort of computational or algorithmic approaches to stratifying patients based on various [ static ] markers. Look, I actually think there's -- the thing to me that's like interesting and exciting about this is there's actually just like a lot of different commercial models that you could imagine flowing from this. Again, it's not like precision oncology, where it's like here's a drug that affects a certain mutation. We're going to be for patients who have that mutation and that mutation only. This is about trying to understand across relatively, in many cases heterogenous immune disease like which patients fall where and what spectrum and how much of their disease is driven by 1 factor versus another. And so you can imagine companies taking very different approaches, companies taking very precision approaches, trying to get like very high response rates in very carefully sort of specifically selectively chosen patients more like a precision oncology sort of situation. And you can imagine situations where we're just sub-segmenting the patient population in bigger chunks. And so I think like there's lots of different sort of versions of it. Look, I think in terms of where it's going to work best? Obviously, there are genetically defined autoimmune diseases where you would imagine precision oncology -- precision immunology to work very similarly to precision oncology. So that's "obvious" place to go. There are also -- I'd say in any big immunological indication, there's like interesting possible sort of heterogeneity among the patient population. And the more you can do to understand that heterogeneity, the more likely it is that some kind of biomarker companion diagnostic can help. So I think about things like lupus, which is a very heterogenous disease and whether you could do something interesting there.
Corinne Jenkins
analystYes. That makes sense. Maybe that's a great segue as well for brepocitinib. So maybe we'll just start with a quick history on the drug and Roivant's ownership of the asset, which was about last year.
Matthew Gline
executiveAnd notably, even though we are setting brepocitinib in SLE we are not pursuing a biomarker guidance strategy.
Corinne Jenkins
analystYes, good clarification.
Matthew Gline
executiveSo brepocitinib is an interesting drug. It's a dual inhibitor of TYK2 and JAK1. So TYK2 has obviously been a pretty popular target to talk about for the last year or so. That's in part driven by, obviously, the approval of TYK2 with BMS with a pretty clean label, we should know JAK-class labeling. And it's a pretty compelling clinical data. This drug also came from Pfizer, part of a broad portfolio. Pfizer was unquestionably 1 of the sort of leaders in JAK-class biology. So a really interesting drug as part of an interesting portfolio. Pfizer had studied it in a wide range of pretty large autoimmune indications. We have data with -- great data, best in category data, in many cases, in psoriasis, psoriatic arthritis, alopecia, ulcerative colitis funnily enough, and NHS and really good data across those indications. Unfortunately, for the JAK class, with the new sort of labeling, some of those indications are pretty hard competitively. And so the drug became available to us as Pfizer was sort of thinking through their JAK portfolio and what they wanted to do with which program. And we stopped and we said, okay, TYK2 biology is clearly interesting, it matters. JAK1 biology is clearly interesting, it matters. This is a big gun. It has worked in a lot of indications. What diseases do we think we can differentially [ win ] at with this drug, where we think the JAK class labeling is less likely to be an issue. And so we're focused on sort of rare and orphan autoimmune indications with high unmet need with not a lot of other approved therapies. And maybe this is an important point, JAK cytokine -- JAK kinases tend to pairwise signal cytokines. And so there are some cytokines that are specifically paralyzed signaled by TYK2 and JAK1. And so we look for diseases that were mediated by those cytokines. So far, we've settled on 2 of them. Dermatomyositis, where we're running a pivotal study where we got data in 2025, and it's a single pivotal kind of design. And then SLE where we're running a potentially pivotal Phase IIb. That program will read out later this year. And obviously, SLE is an interesting indication with very few approved therapies and a relatively mediocre performing standard of care. It's been a tough indication and many clinical programs have failed there, but we're looking forward to what we can deliver.
Corinne Jenkins
analystYes. I mean [ that solve ] my question, which is that it's a really tough indication. And so as you think about the program you have, how do you drive confidence in kind of the clinical outlook in lupus?
Matthew Gline
executiveYes, thanks. So look, first of all, brepo has been a well-behaved drug, and it has worked well in a variety of indications. Second of all, we have sort of proof of principle in data from deucravacitinib, a TYK2 inhibitor and baricitinib, a JAK1 inhibitor, both of which have put out pretty good data in SLE. Bari, I think we know is not being developed further there, but I think deucra is likely being developed further in SLE and the data were compelling. We have cross-trial comparisons between brepo and either 1 or both of those 2 drugs in a pretty wide variety in 4 of the 5 indications I mentioned earlier. And in cross trial comparisons, brepo's data is superior in all sort of comparisons. I think the first thing is we are a bigger gun than our competition in SLE, and we have sort of clinical data across a variety of auto immune indications to support that. And then SLE is an example of a disease where the -- as best we understand the disease biology, the cytokines and SLE that are important are many of the cytokines that are pairwise signaled by TYK2 and JAK1. And so that combination of factors gives us some comfort. It's a tough indication. There's a lot of trial design questions that are difficult to manage, properly adjudicating the events, getting the right steroid tapers, getting all the sites sort of focused correctly on the right questions has been a challenge for a lot of people in these studies. We've tried to learn as much as we can from the successes and failures. We're partnered with Pfizer on the study. We think they've done a pretty good job as well as getting things set up. But it will be interesting to see sort of how it shakes out, and we're laser-focused on doing the best we can on execution to try and deliver good data for the program.
Corinne Jenkins
analystImpending positive results later this year, what would be the next steps for the program?
Matthew Gline
executiveSo this would be 1 of 2 potentially pivotal. So if we get [ past the data ] here, we would run a follow-on pivotal. But if the data are good, it could be game changing in the sense of value creation. I think the approved products have placebo-adjusted deltas, again, like the 10% to 14% range for like [indiscernible] or whatever. And like we have deucra, for example, in its best-performing dose was over 20%. Barici was, I think it was 16% or something like that. So there's an opportunity to deliver some really compelling data here.
Corinne Jenkins
analystOkay. Helpful. And obviously, you mentioned beyond lupus, dermatomyositis. Can you just give us a quick hit on that indication and why you selected it?
Matthew Gline
executiveSo remember dermatomyositis, it's a rare autoimmune disease, a couple of different presentations, discuss of a wasting effect on the muscles as well as a rash. By the way, 1 way to think about [ doing inhibitions to ] JAK1 and TYK2 is we think TYK2 is particularly important for like dermal inflammatory symptoms and JAK1 is particularly important for systemic inflammatory symptoms. And so it's not a coincidence that lupus has a rash and systemic symptoms, dermatomyositis is the same way. So is that thing 1. Thing 2, there is some data to -- so I think from a biology perspective, no surprise. Dermatomyositis is heavily mediated by cytokines that are signaled by TYK2 and JAK1 dually. So that's important as well. And we think we have a really good express sort of cytokine expression profile for those cytokines in our data. And then the third thing is dermatomyositis has been studied with various JAK inhibitors over time, not in sort of well-controlled clinical trials so far, but there was an open-label study of a major JAK inhibitor in DM, tofacitinib that was done by an investigator that showed really good sort of data across a handful of patients. Again, it was without a placebo, but it was good data. And then there's about 140 case reports in the literature of people being treated with various JAK inhibitors. About 137 of those, I think, are considered clinical successes. So pretty good data as well for sort of JAKs in the literature. So I think the combination of the cytokine expression and the high-level unmet need for DM and the clinical data we have from other JAKs gives us some comfort. It's a tough indication as well. It's going to be tough to find the patients enrolling. Enrolling clinical trials in autoimmune disease right now is certainly as hard as it has ever been in history. And so that will be a challenge for the program, but we think we've got a pretty good shot there.
Corinne Jenkins
analystWhen you say it's challenging to enroll patients in autoimmune indications, like what's driving that difficulty.
Matthew Gline
executiveYes. Look, I think it's the same thing that has driven changes in workforce across every sector. It's the people at sites who are responsible for doing that work are not there in the way they were in 2019, and the pandemic has kind of thrown all of that into disarray. And so the sites are understaffed, the doctors and nurses are way over worked, the site staff are way overworked. And there's a ton of competition in autoimmune disease trial enrollment right now. And so you've got a lot of trials competing for less mental bandwidth for the sites, and it's a recipe for a lot of challenge.
Corinne Jenkins
analystAnd so given you guys have a breadth of exposure, do you see it worse than the autoimmune indications that you're in development with? Or are there some other therapeutic areas where you're seeing the same thing?
Matthew Gline
executiveSo we're not much in oncology, so I can't speak much to oncology, which is obviously also a pretty competitive area. Autoimmune has just gotten more competitive over time. And like rare and orphan automat gotten more competitive over time, and the sort of immunology sites are highly overlapping across a pretty wide variety of these diseases. So I think it is particularly bad in our experience in autoimmune disease, it's not only bad in autoimmune disease. And fourth, there are a lot of things that we think can be gun to improve this. And for example, like we are building in a couple of different parts of event sort of novel technology for helping to identify patients at sites, help sites identify patients themselves, sort of funnel patients through the screen -- the sort of screening process faster. And we think those tools can make a big difference in a constrained labor area. Sorry.
Corinne Jenkins
analystSo beyond DM and lupus, how should we think about the cadence for additional indication selection for this program?
Matthew Gline
executiveGood question. We haven't commented on further indications. We're almost certainly not going to go after some of the bigger ones like psoriasis that we've talked about before like HS is an interesting indication where Pfizer didn't know they had good data from this program quite when we acquired it, and we certainly didn't know that their own IRAK program wasn't going to work like I think HS is potentially interesting, but we haven't sort of laid anything out for a plan there. I think we're probably going to see the lupus data through before we announce further indications, but stay tuned.
Corinne Jenkins
analystOkay. Maybe moving on to Immunovant and that kind of franchise with FcRN. First, can you just give us -- like help us understand what that franchise looks like and how you'll approach different indications with the different programs?
Matthew Gline
executiveYes. So FcRN has obviously been a really interesting area of biology. It's proven to be a great target for a very sort of different subset of autoimmune disease, anything that's sort of IgG auto antibody mediated. So obviously, there's been good clinical data in myseneagravis. We've generated clinical data in TED. There is clinical data that is in the process of being generated in CIDP and so on. So just like an interesting area with many, many possible indications. We have been a player in the space for a while. We built a Metavant a few years ago. Minivan sort of first antibody is this drug etokimab that developed. It has very good Ig suppression in a simple subcutaneous administration. 80-plus percent expression of IgG at a high dose, which is as good as anybody else can achieve better than our GenX in a simple subcu. The rub for that drug has been -- it impacts the albumin binding human of FcRn. It's got steroids of the old binding domain impacts about algin levels. And so it drives LDL up. And we think that's going to be true for likely any anti-FcRn antibody that impacts albumin. So argenx does not, but J&J, we think it does. And that is not necessarily an important limitation. It will depend on indication. It will depend on how much the LDL goes up. We think it can be managed with statins as we've shown in studies before. But it it's an asterisk next to the drug. And so look, I think there's still indications where that can be a perfect opportunity where chronic dosing isn't necessarily required, where the need is great where the LDL issue isn't going to be as big an issue. And indications, for example, where we might be able to compete with Argenx just flat out on efficacy, it places like thyroid eye disease where we have shown that lower suppression of IgG is insufficient. And if you want to have an impact on the disease, you need to get to that 80-plus percent expression of IgG. Then there's a whole other world of indications that are broader where chronic dosing is necessary. And where, look, I think in those indications, the LDL sort of "issue"looks like a somewhat bigger liability -- and that's why we developed IMVT1402, which is our second-generation anti-S antibody so in monkey data, it's got the same level of IgG suppression as betoklimab, but no impact on albumin and no impact on LDL or no minimal impact on those. And so what that means, non-net is it looks like a clearly potentially best-in-class antisera antibody. It's got all of the efficacy possibilities with none of the apparent safety liabilities. So that's a really interesting opportunity. It now gives us a franchise where we can go after diseases like TED, where we will be alone uncompetitive and where the LDL liability may matter less with etokimab and glare diseases that are bigger like lupus nephritis or who knows graves and so on with 1402 where you need the sort of combination of everything to win. So we feel really privileged and obviously, the market as far as aludimab is concerned has responded well to that new drug.
Corinne Jenkins
analystYes. And we should see some initial first in human data later this year. So as we think about what you'll show then, how can we think about expectations there?
Matthew Gline
executiveYes. So we're going to show -- yes, first in human data, it will be information about IgG, information about LDL and albumin, and I'll sort of answer in my opinion, the question of what the drug is. And the great thing about the FcRn in class and Pete, the CEO of Unimin talked about this all the time, is IgG is just such a good biomarker for clinical efficacy. But once we've got good first-in-human data, it feels like we can go straight into potentially pivotal studies in a variety of indications, using IgG to clinical relationship data that we or others have generated. And so we don't lose a lot of time.
Corinne Jenkins
analystOkay. Helpful. Okay. And then -- so maybe just briefly, we haven't talked much about this one, but the HemoVAnt program, RB2011, -- maybe explain the role of SF3B1 mutation and lower-risk MDS and where you think 2001 would fit within this market?
Matthew Gline
executiveSure, yes. So SF3B1 is -- it's a target in the spliceosome. It's relevant to a variety of sort of MDS like diseases. It's actually a better known than first apparent because -- so people are familiar with luspatercept, the Acceleron program that's in the same indication, transfusion-dependent anemia and low-risk MDS -- so that drug is approved in RS-positive low-risk MDS patients. And over time, the diagnostic criterias have evolved. Criterion evolved such that one of the key diagnostic criteria for RS-positive low-risk MDS is, in fact, SF3B1 mutation. And so it's not so surprising that an SF3B1 targeted drug could make a difference in these patient populations. So this drug has been in development by Eisai for a variety of diseases, which are mostly more severe cancers, progressive AML and CMML and new progressive MDS. And they were focused on those patient populations. And when we took it on and looked at the data, we got excited in particular about the subset of patients in those trials that have had transfusion-dependent anemia in low-risk sort of -- and our response rate there looked pretty good, especially adjusted for the fact that most of the patients who have been treated were pretty sick patients who were refractory to other treatment options. And so we see a couple of different hats exciting data there. That's an open-label program. It's enrolling patients now. And my hope is that at some point this year, we'll be able to share some data from that open-label study.
Corinne Jenkins
analystAnd can you help us understand what a like success scenario would look like for those data?
Matthew Gline
executiveLook, I think there's 3 different kind of ways to win with this program. I think one is that we sort of bolster and reinforce the treatment effect in refractory patients such that we -- if the 32% response rate that we saw in transfusion open anemia in patients who are like post HMA therapy post -- in the case of the data that we have post lenalidomide, if that effect seems to hold, that's like a great sort of second-line option. I think even more exciting, most therapies, and so we're now enrolling an earlier line set of patients in our study, most of the therapies in MDS when you move to earlier line patients, the responder rates have improved. And so if we see an improvement in response rate, I think there's a chance for sort of best-in-category efficacy, that would be obviously a big way to win. And then the third opportunity here is there's an academic biomarker called Abeta 14C transcripts, which is a particular measure of certain kinds of SF3B1 mutations. And we have quite small end data of 7 patients in our study that had that biomarker. For those patients, we saw close to, I think, over 70% response rate against small end. So we're enrolling hopefully a number of Abeta 14 patients in the trial. And the third way to win sort of a precision biomarker-guided approach for those particular subset of SF3B1 mutants. Have that biomarker.
Corinne Jenkins
analystOkay. Well, we've talked a lot about the mid- to late-stage programs since you have so many readouts this year. But the company also has a number of discovery programs ongoing. So maybe just give us a brief overview on the Discovery platform and maybe how it's differentiated.
Matthew Gline
executiveYes, thanks. We haven't talked that much about it recently, but basically, we got involved in basic research because every now and then, you're out looking for interesting programs, interesting sort of opportunities against targets that you care about, and you boil the ocean and nothing rises to the top. No one has quite developed the drug that you think you need in order to do the thing you're trying to do. And that gets frustrating because you build sort of a portfolio of these ideas that you just like can't quite do anything with. And we realized that we had some pretty unique computational expertise within the business and that we could combine that with some of these sort of interesting target ideas and try and develop novel therapies against targets that matter where others have struggled. And so we've now built expertise in let's say, computationally mediated design, mostly of small molecules. And so I'd say with a focus either on small molecules against targets where there is a chemical, physical challenge. So there's 2 target proteins, and you want to hit one of them and now there's like a specificity issue, you want to hit one of them and not the other, but their active sites are really similar or it's approaching as a scaffolding function, and so it's sort of hard to target. So that's sort of been one category and the other categories, we focused on heterobifunctional on small molecules that are designed to induce proximity between 2 proteins. And we've built a variety of different tools we're doing this. We've got an effort in covalency an event called Covent that's focused on using novel mass spec techniques to identify at least initially covalent binders and then be able to build around them. And that's an area that's attracted a fair amount of attention in the field recently. And then we've got a couple of different computational tools. We've got a sort of entity enterprise group called Vent ai focused on using a certain set of machine learning techniques on property interactions to try and build novel glue and heterobifunctional -- and then we have a molecular dynamics to it principally at this bank called Sivan that's sort of built around the engine built by silicon therapeutics that we acquired a couple of years ago that is focused on using molecular dynamics techniques to try and better understand protein geometry in order to solve, let's say, issues that have been vexing to categories just more molecule design.
Corinne Jenkins
analystYes. So as you think about the application of some of these technology tools that you're using in drug discovery, where do you think it makes the most sense to apply those kind of kind of more sophisticated tools...
Matthew Gline
executiveOne of the interesting things about being in discovery is that it fits our DNA well in the sense that like you don't necessarily get to pick the therapeutic area. You try different problems and some of them can be solved by the tools and some of them can't and that sort of orthogonally hits with like what your interests might be. We've got some programs in oncology. We've got some programs in immunology. To be honest, we're very interested in like the TNF superfamily of targets that includes TL1A, for example. We understand the biology well, obviously, based on the sort of late-stage clinical deals we've done, and we think there's some interesting small molecule challenges that we might be able to solve in immunology. But it's a lot of sort of happenstance of finding the targets that we care about that are at the intersection where people have made it far enough to either make biological proof of principle or chemical proof of principle, but not far enough to be able to solve all of the problems. And to be honest, much of what we are trying to do, people have all different approaches for multidrug discovery. Much of what we are trying to do is to solve what I would call physics problems, problems where like you want to get the Perkin broking interface just right or there's a target that has like a slightly weird binding configuration or confirmation, and you want to get to like exactly the right place to make a difference.
Corinne Jenkins
analystSo as you think about kind of the versioning AI machine learning approach to drug discovery, how would you say your program is differentiated? And again, like where do you think those kinds of tools make the most sense in dark discovery?
Matthew Gline
executiveYes. So First of all, I mostly don't view other computational drug discovery companies as like competition in this area in the sense that like even with the 4 score companies that are doing this, it is still like a small minority of people doing drug discovery. And mostly, we're just sort of focused on ourselves. So do I think we have sort of differentiation? Yes, absolutely. We have better and more precise molecular dynamics tools. We have some really interesting approaches that I think are particularly relevant in heterobifunctional and glues, where I think others have spent less time on the computation side. I think we are probably at the intersection of one of the few companies that has as much expertise in heterobifunctional and glues as we do while also having expertising capabilities on the competition side. I think it's a pretty unique combination. But mostly, it's not about sort of differentiating ourselves from the -- the other companies doing computational drug discovery. It's about differentiating ourselves from other people doing head by functional and glue discovery who don't have the computational tools. And that, I think, is an important differentiator. Look, I think heterobifunctionals and glues are a great example of an area ripe for this set of tools. They are complicated drugs to design. They involve multiple protein interactions. It is hard to do conventional either trial and error or structure-based drug discovery on them, but also there's a ton of data to inform the sort of decision-making just because we have a lot of information about how small molecules bind.
Corinne Jenkins
analystGreat. Maybe like 1 last question for me, and this is a bit different from the others we talked about. Lokavant, I think you alluded to in some of the conversation earlier about trial enrollment. But as you think about the inefficiencies in clinical trial execution and that particular vant, just how has that company conceived? How does it fit into your current clinical operations? And how do you think those tools could impact the broader landscape?
Matthew Gline
executiveIt's a great question to close to wrapping up on here in the sense that look, a part of our business that we do not talk nearly as much about because it gets to the how, honestly, is 1 of the things that we believe is that if we're going to be better at developing drugs, there's just like tooling gaps. There's things that need to exist to make drug development faster that nobody else has built. And so we have an entire arm of our business. Again, it's a relatively low capital allocation, but it's called Roivant Health and the entire purpose of that business is to build technologies that we think should exist a bit large for drug development. We hope to use them ourselves, but we build them because we think they're financially and sort of scientifically compelling. Lokavant is 1 such tool kit. It's a tool get focused on the work that we have for saying this, but it's sort of a nuts and bolts toolkit, a plumbing tool focused on moving data from point A to point B faster in an organized way in clinical trial execution. Clinical trial execution is fundamentally a data and operations problem, not a scientific problem at some level. And the tools are antiquated and difficult and not -- certainly not built for nimble biotech companies. And so a Lokavant company we built because we started many years ago, building some tools internal Roivant for improving our understanding of what was going on in our studies. We then sort of realized they were interesting and built the business around them and that's evolved over time to become Lokavant. Lokavant sells that product to Vance. It also sells that product to at this point, I think, dozens of other companies and actually just did a capital raise to continue to scale that project for others. And that's 1 of the numbers. It's also Datavant, which at this point, quite a large business focused on moving the identified patient level data around within the health care system. There's a whole bunch of different tech companies that we've built that are financially interesting to us. They're part of our story from that perspective, but we build them because we feel like to win in drug discovery and development. These are just tools that need to exist.
Corinne Jenkins
analystSure. Okay. Well, this is great. Thanks, Matt, for joining us today and all of the insights and thanks to everyone who joined us for the day for CEOs unscripted. With that, I think we are done.
Matthew Gline
executiveThanks very much. Thanks for having us.
Read the full transcript via the API
You're viewing the first half of this call. Get the complete Roivant Sciences Ltd. transcript — plus 248,000+ transcripts from 12,000+ companies, speaker segments, AI summaries and full-text search — through the EarningsCalls.dev API.
Get the API View API docs →This call discussed
For developers and AI pipelines
Programmatic access to Roivant Sciences Ltd. earnings transcripts and 248,000+ others is available through the
EarningsCalls.dev REST API. Plans from $24.99/month — full transcripts, speaker segments,
full-text search, and the recently-added /api/v1/transcripts/recent polling endpoint for ETL pipelines.