Adaptive Biotechnologies Corporation (ADPT) Earnings Call Transcript
March 9, 2022
Earnings Call Speaker Segments
Good morning. Welcome to Day 3 of the Cowen Healthcare Conference. I'm Dan Brennan, one of the tools and diagnostics analyst here. Really pleased to be joined with me on the virtual stage here, Chad Robins, Co-Founder, CEO, Chairman of Adaptive Bio. I have known Chad for a while. So first off, just, Chad, welcome and thanks for being here.
Hey Dan, thanks for having me. It's great to be back at Cowen.
Awesome. So I'd like to kick it off just with the news out today a couple of announcements. So first, Tycho Peterson, the new CFO. Secondly, you announced the reorientation of the business under MRD and immune medicine, which have been discussed and then also a workforce reduction. So first, on Tycho, that's awesome. He's going to be great. I have chatted with him this morning, he's pumped. Secondly, would love to get your view on how we think about this new alignment. You guys have discussed it previous to this, but just what impact will it have on how you run your business, how we see the business, will have any -- like what kind of positive elements will it have? And then maybe touch upon those and then we'll chat about the workforce reduction, Chad.
Yes, sure. First, I'm thrilled to have Tycho on board. Really excited about it. Tycho is a 23-year industry veteran at JPMorgan. He has seen the evolution of this industry, and it all come together from kind of sequencing proteomics, immunomics, and really understand how all the pieces fit together, and I think has a great set of relationships. Also, we have a really strong financial and accounting team in place with our Principal Accounting Officer. So I think a really, really good team dynamic that we're going to create here and just thrilled to have him on board. And obviously, from a -- from an Investor Relations perspective and understanding how to clarify the story, I think Tycho will be great in so many aspects. And from an operational perspective, he is really looking forward to jumping in and rolling up the sleeves in understanding how we can help further streamline and drive business growth.
Awesome. And then in terms of the alignment, unless you guys have discussed this, right? But just maybe give us a flavor like how will it -- is this just going to help you on a reporting basis and kind of managing people? Will there be some positive elements for how the businesses run? And how will investors kind of maybe appreciate the company differently?
Yes. So what I mean, externally, it helps us from a reporting basis. But internally, it's really how we're running our businesses really. If you look at -- and there's a lot of parallels between the business -- businesses -- business areas. If you look at MRD, you've got the clinical test business and you've got MRD pharma. And there's synergistic value of those because as doctors order clinical tests, it's more important that pharma use a test of choice, if you will, as they look at their clinical trials and incorporate it into all aspects of their clinical trials and kind of vice versa, doctors look at what's being incorporated in the trials and then to use the test more. You still -- you have that same dynamic that we believe is starting to play out in immune medicine. If so, if you look at kind of what ultimately will be the diagnostic of T-Detect, that same data set, we're leveraging -- we're already starting to leverage with pharma companies and incorporating that data into their trials in 2 different areas: one from kind of a monitoring patient stratification, targeted therapy selection basis but also in the drug discovery area as well. So -- aligning around those 2 businesses and putting 2 leaders, we've got Nitin Sood who is going to run the MRD business, Sharon Benzeno is going to run the immune medicine business. We can really have that really crisp and clear prioritization and organizational alignment so that we can get the highest return on investments that are specific to those different businesses and allocate capital more effectively and efficiently.
Got it. Great. And then in terms of the 12% workforce reduction, like it was announced in the press release this morning in conjunction with this realignment, I talked about a few projects and programs or didn't say a few, some projects and programs would be, I guess, reduced or stopped due to the realignment. Just kind of give us a sense of why now is the time to make this reduction?
Yes. Now is the time because as we want -- as we align these businesses, we found opportunities to really effectively and efficiently organize the businesses around these 2 areas and that led to certain program reductions, product enhancement reductions in certain areas. For example, kind of research kits were an area that we launched a couple of years ago. It didn't do kind of what we thought it was going to do. We're spending capital on it, and we just said, "Hey, here's an opportunity to really just to cut that program. At the same time, there were certain centralized functions that we thought were better aligned with the businesses, like we had a program management office that we're now outlining with the businesses just really -- and why now is the right time. Nothing specific to Adaptive, Dan, but from a capital markets perspective, we wanted to get out ahead of it, and we're all kind of aware of what's going on in the capital markets, and we want to make sure that we have several years of cash on hand so that we can -- if and when we need to access the capital market, we can do that hopefully on our own terms. And given the fact that we're able to kind of reinstate guidance on the top line and reduce operating expenses from our previous budget kind of based on this reorganization, we think it's absolutely the right time to do it. And we want to make sure that we're out ahead of it.
Terrific. So maybe just one more high-level one on '22. A lot of exciting drivers, potential catalysts, you have the new business structure. What excites you most about the trajectory for '22?
Yes. Dan, I'm going to try out a lot of things in 2022. As you mentioned, there's a lot of different catalysts. And that is one of the benefits of having a true platform business and aligning between kind of MRD and immune medicine. So maybe if we can take those by business segment now. Let's start with MRD. I'm looking forward to accelerating the growth trajectory of clonoSEQ, including the expansion into non-Hodgkin's lymphoma, specifically DLBCL. We've got data readouts coming in blood, and we've got many pharma partnerships that are continuing to accelerate. So really excited about MRD. And we -- that growth trajectory we've already started to see some nice pickup in 2022 already. Taking to the immune medicine business, yes, let's start by, I guess, the most recent news that we announced in our earnings a couple of weeks ago, which is Genentech selected the first target. And we also have kind of 2 additional data packages that we're going to be presenting over the course of this year, and hopefully, those will advance as well. At the same time, I think something maybe misunderstood is kind of that private product is continuing to progress in parallel. And then for [T-Detect], there are really 3 things I'm looking forward to. One is we're kicking off the clinical validation study in IBD this year. So it's really an important data generation year in the autoimmune space. We're as promised, we're going to make T-Detect Lyme available in our CLIA lab during the Lyme season this year. And third, although we're very closely monitoring the COVID situation, but we're demonstrating correlative protection with T-Detect COVID is on the docket as well.
Great. Maybe just one kind of follow-up on a comment. Obviously, when you guys guided, I think the first quarter, you had kind of talked about a [tough comp], plus some of the Omicron drag still persisting. I guess you're commenting now that things are beginning to -- as we see case counts come down a lot, you are seeing like a certain pickup. Is that kind of as expected, the way you thought about it?
Yes. I mean I would say the tough comp was because of the previous year, we had a significant amount of kind of pharma activity that was held over from the previous year. But in terms of kind of the closing business and the growth trajectory and volumes, we're excited about that. But I saw not changing our guidance or the trajectory of our guidance necessarily for the first quarter. First-quarter is traditionally always are slowest quarter and then it kind of builds up over the year. But certainly excited by what we're seeing actually in all aspects of the business.
Got it. And then maybe another high-level question, just maybe something that we don't touch upon enough. But like the large volume of patient data that's collected on your platform, which you guys talk about, how do we think about -- what's kind of the highest value add like return on investment for the use of that data? Obviously, you're using it all the time with [pharma and pharma] is using it, right?, [in sort of to drive] insights. When we think about this data asset, is that really the use case, it's just powering a lot of the business that you're doing on discovery with pharma? Or as we look ahead, other ways to kind of drive value off that data?
Yes, Dan. So one of the things that's really unique about our data set is that it relates to really the biology of T-cells and the biology of the immune system and the fact that we can have what I'll call self-learning or self-improving diagnostics this is -- we've discussed in the past as this kind of concept of the flywheel -- so once you have kind of a signal that's created, we're able to then kind of go into our data set and essentially pull in more T-cell receptors from those that we found kind of that signal in and use those additional receptors to improve the signal. And that's really key. So as we launch kind of the, what I'll say, kind of to the patient consumer and have them consent to participate on -- by survey, this is really going to be key to the self-improving concept. So just as an example of that, we consented to approximately 350 T-Detect COVID users, and we connected a ton of data about their COVID experience. And then we use this real-world data to demonstrate a lot of many interesting kind of attitudes and behaviors about how the consumers view T-cell-based testing and decisions that they'll make based on this testing. And it's -- what's interesting is this data can be shared -- we're going to be sharing this data in an infectious disease conference, but it's really interesting that it's not just within COVID, if these patients and we get the -- we're looking at ways to tie to medical records for these tests that we launched, that we understand they may have had a different autoimmune disorder. You're looking at developing signals kind of cross-indication or cross disease state by this data. So the data becomes more and more rich, the more and more data you get, if that makes sense. And that's where this flywheel comes in. It's really -- it's really starting to work. It's very -- we're actually really excited about how this is working across diseases.
Great. Let's maybe shift over to T-Detect, a few questions there. So can you give us an update like for the outlook for T-Detect COVID, like the coming Nycomed data? And what the discussions with FDA look like about utilizing this test in more vaccine trials?
Yes. So first, maybe put it in perspective. So COVID gave Adaptive the opportunity to really showcase the importance of T-cell response to the disease. And this is -- as you know, this is kind of the foundation of the entire Genentech pipeline. It also really opened the door for us to be able to have those discussions with regulators, the FDA and with payers. And then as you mentioned, perhaps one of the most important aspects of that is we were able to get in and talk to vaccine manufacturers about using our team -- the team mapping product, which is T-MAP COVID as a measure of T-cell response for vaccines and to kind of assess this correlative protection opportunity. And what's important about that, not just for COVID is that it started -- remember, we have relationships with pharma companies. We have relationships with MRD and other aspects, but it gave us this opportunity to showcase this mapping capability of -- mapping T-cell receptors to antigens, which if you look at kind of the overall T-cell, I mentioned this kind of in some of the opening remarks, there's synergistic value behind kind of one data set leading to multiple revenue opportunities. These revenue opportunities are really coming from -- will be coming in the shorter term from doing deals with pharma around mapping not just of COVID, but other diseases as well. And that's opened the door for many different conversations. But related kind of to more to the outlook for T-Detect COVID, it's really going to -- as a diagnostic, there's not a huge focus on it. Right now, it's really as variance surges happens, we get large pickup -- pickup in the test. But from an FDA perspective, we do continue to communicate with the FDA as to our vaccine manufacturer partners about incorporating the T-cell response through the T mapping data as part of really the [CDER] workflow for vaccine trials, we haven't -- that hasn't happened yet, but whether it happens for COVID the next disease state, I can tell you this, T-cell response is very, very -- it's now on a list of -- many regulators that it wasn't. And our new FDA Commissioner coming in, Rob Califf, is very, very much aware of the importance of T-cell response as well.
Okay. Maybe switching over to like autoimmune diseases. You have signals in 5, I believe, you've got Crohn's, ulcerative colitis. You've got Celiac, MSRA, Crohn's is the most advanced, I believe. Like what are the key milestones this year? And how do we think about the revenue potential in this area as we look out beyond '22?
Yes. So again, as I mentioned, I think 2022 is really a year of significant data generation in T-Detect across these autoimmune data sets. The goal more specifically is to have a very high level of specificity to eliminate false positives and then to grow the sensitivity over time. So this is what's called kind of positive predictive value. And we want to have a positive predictive value that's a very high threshold level so that we can launch but then improve it over time. So this is all because of what we're -- going back to the biology, we're leveraging kind of that high specificity of T-cells. So in order to generate the data, we're in the final stages of designing the clinical validation study in IBD, and we expect that study to initiate around midyear. Obviously, we'll update you about the progress as it continues. And then kind of related to kind of how that rolls out into the commercialization and potential in 2023, that path is really going to be dependent on the maturity of our data at the time of our launch. And we're continuing to kind of hone in on what that kind of product market fit, what that threshold level of sensitivity is that will determine kind of the timing of utility for really consumers for FDA and ultimately kind of for payers. So our plan, as we mentioned, is to begin with, is to offer AI panel, so an autoimmune panel in 2023, first to consumers. And then as we generate awareness, increase utility, enhance sensitivity over time, like I just talked about with kind of that self-learning diagnostic, then we're going to make a very clear use case and value proposition and bring that data package for future reimbursement. And so that's how it's going to play out over the course of this year, but a lot of data reading out across those 5 indications throughout the course of 2022.
So maybe before we jump over to clonoSEQ, maybe one high-level question there. So Lyme is a good proof point. Really it's a small revenue contributor. Is there any way -- obviously, the size of these indications is large in terms of the patients and the needs. I'm not asking for a revenue number. But when we think about relative size and impact, we get out 3 or 4 years, like how do we think about like the relative opportunity and impact that this business could be contributing?
Yes. From a revenue contribution standpoint, at least in 2022, we're not expecting that much. Remember, we're going to launch in the acute setting. Over time, as we get into the post-treatment Lyme setting, I think we'll have opportunity to increase revenue profile over time. But when you say a proof point, I just want to make sure it's understood that -- the main objective of offering T-Detect Lyme during this Lyme season, that enabled us to put in all the building blocks in our CLIA lab, all the infrastructure, all the software, which will be a [cloud] to be able to launch disease after disease after disease. We weren't able to do that with COVID, even though we had T-Detect COVID. It was really a different pathway because we had to go by nature, if you have an EUA, it can't be a laboratory developed test. So it really had a different set of infrastructure that was involved, so we couldn't just replicate or replace that. So we're using Lyme essentially as the building block to be able to kind of launch these different autoimmune diseases that we just talked about with all the software, all the infrastructure and to sort go quickly once we have the data.
Right. Okay. So on clonoSEQ, we've got the business up 70% this year. So we will see, I don't know if there's a reaction to that number. But maybe can you walk through where we are today with your penetration across the different indications. And obviously, you're continuing to work with regulators, you have the sales force, you'll ramped up. We're going to get through Omicron and hopefully, we'll have more of a patient access and doctor access that we can do. But like where can that go in terms of penetrating these opportunities over the next few years?
Yes. So just commenting, I think you're in the ballpark on your numbers, Dan -- let me actually just take a step back and we can I'll go into the different indications kind of maybe one by one. But this is still early days of penetration -- in MRD. That certainly has picked up over the last couple of years as MRD in hematology and actually MRD more broadly, it's kind of crept into the clinical management. And hopefully, we're hoping it's more of a surge and a creep. But we're talking about low penetration rate. So the penetration overall increases in twofold. One is to attack the incident and prevalent population to really kind of drive adoption on that patient population to -- but then secondly, within that population, have more tests per patient over the disease care continuum for that particular patient. Those are the 2 ways that we're really driving -- we're driving an increase in that penetration along with kind of blood-based testing increases that frequency of testing for each patient. So like if you take -- and just from a patient perspective in 2021, clonoSEQ was used in approximately 2.5 -- 2,500 ALL patients. There are 23,000 prevalent ALL patients in the U.S., putting our penetration close to 10%. We believe for ALL penetration in newly incident penetration is higher, maybe closer to 25%. Our penetration is lower in CLL and multi-myeloma. clonoSEQ was using 1,000 CLL or actually 5,500 multi myeloma patients in last year putting penetration and really in the low to mid-single digits. So for example, if you look at kind of the market opportunity remaining, it's really significant. In myeloma, as you know, we're doing many things. We've got the sales force expansion that we would want to not only penetrate more deeply into our existing accounts. But one of the main reasons we're doing that is that we can kind of penetrate into the community setting. And also expanding the number of health care providers that are ordering clonoSEQ is always kind of the area of focus. Last year, we saw a 57% year-over-year growth in the number of health care providers that are ordered clonoSEQ as you said, and I think your number, we anticipate really seeing a healthy growth in new prescribers this year. Yes. So really excited about the business Dan.
And in terms of maybe one more before we leave it. So you've ramped the sales force aggressively, the market's opening up, like the awareness is getting higher. Is there anything -- if we looked out 2, 3 years around penetration was 10 points higher or 10 points lower than what you're hoping for, like what are the key things we should be thinking about that are going to unlock this market.
Yes. You mentioned Salesforce. The second is to increase the utilization in blood and additional data readouts that are coming. So we anticipate some blood data to be presented at EHA later this year in multiple myeloma. We recently kind of finalized a contract with one of the largest cancer centers, on a very large retrospective study of multi-myeloma in blood and that we're looking to complete that in the first half of this year. We're still waiting for other prospective studies to readout. Some of them haven't read out because the -- really the patients are doing really well, which is great for the patient, but it doesn't help -- it doesn't allow for earlier data readouts. But the other area of growth, Dan, if you look at kind of a couple of years out and why we'll have a larger or a quicker trajectory is really the expansion into NHL. I mean this is the largest segment of blood-based cancer. It's a growth driver in 2023. But a lot of the things that we're doing this year, Dan are setting the stage for that future growth. We've already submitted the tech assessment with MolDX for Medicare coverage. And we're -- there's some logistics things that we need to do as well. So we're converting the assay to [indiscernible] and increasing blood volume. These are just things that really fit within the workflow of the clinical community. And also like in multiple myeloma in blood, we're continuing to invest in clinical studies, and we're making a push to launch this in the CLIA setting to our KOL community now.
Awesome. So maybe never enough time. So maybe I'll ask a question on the research part of the business, maybe a 2-parter and then we'll jump to the discovery and then we'll get to the balance sheet cash flow. So those are the 3 remaining questions, hopefully. So on the research side of the business, it's obviously not going to be split between the 2 segments as opposed to be under sequencing, right? But 2-parter is, I think you've recognized maybe 10% or so of the potential milestones there, maybe $30-plus million out of $330 million. So like how do we think about just if you're sitting in [our sheet], how do we think about the potential capture rate of those additional milestones? And like what does that business grow at like the research business for you? Is it -- you work with a lot of pharma partners just kind of wondering how we think about the growth rate there?
Yes. So Dan, this is really -- like you said, 2 separate questions, and maybe let me tackle the first one on the milestones related to the MRD business. And first, I think -- not I think, I know that we're going to be able to provide kind of more transparency on really -- really what clinical trials or assays involved with and how you can start to handicap [the] over-time? I know that's been an ask from the investment community and one of the benefits that comes out into kind of this different reporting structure. But if you think about it from a high level, Dan, if you look at kind of the $330 million of milestones, about 1/3 of those relate to kind of being incorporated as a secondary endpoint. And those are kind of available to us now and really start to hit and have already started to hit as the trials read out for our various pharma partners. The other 2/3 are related to being incorporated as a primary endpoint and for a trial to be essentially stopped or declared successful as MRD as a primary end point. We are in discussions with the FDA, CEDAR and as are the pharma companies, they're actually more -- it's actually more incentivized than we are because the timing of the trials would be truncated based on these data sets. And that has been in discussion. There are several white papers and working groups that have made that recommendation. Once that happens, we will have the other 2/3 of those milestones available to us. That's more of a -- more of a kind of a binary event that allows us access to those miles -- that second set of milestones overtime for the 2/3 of that kind of $330 million. But again, I think we'll do a job of really a job of kind of outlining how those milestones and what the trajectory and profile looks like over time. Then as you look at kind of the rest of the research business, Dan, there's an opportunity that we have right now from using kind of our, call it, immunoSEQ or kind of bread and butter T-cell assay on pharma trials currently for patient stratification, monitoring, therapy selection, portfolio navigation, and prioritization. But where we see kind of the growth opportunity kind of associated with the immune medicine business and the research business more broadly, if we want to call it the research business, is really kind of using this mapping opportunity that comes from mapping these disease states to both do what I just talked about in terms of kind of portfolio management and immune response to disease. But also, I think the more exciting potential kind of growth opportunity and where you see kind of the potential upside in the business is when you start talking about drug discovery opportunities that I believe these data sets will unlock over the next kind of short and medium term.
Okay. So maybe we're almost -- so Genentech, obviously, they're moving ahead. So we'll have to wait and see the timetable at which they file the IND. Just give us a sense on here just -- almost out of time, but I know there's other candidates that you're putting forth? How do we think about this opportunity in 2022 and then even like in 2023? I mean, obviously, it could be certainly sizable as we go further and further out. But like what are we going to be watching over the next, call it, 18 to 24 months?
Yes, in 2022, we're looking at potential selection of additional candidates in terms of the revenues really start to flow. Obviously, the goal Dan is to have a set of stacked milestones that build over time, both in the shared product profile and then in the private product profile. But in the shared, as they start to select candidates and remember, we get the milestone based on acceptance of the IND. So there's a time period that will be for filing IND and hopefully, they can leverage -- they will be able to leverage the infrastructure they built to file the first IND when they file it to be able to file additional INDs on shared unshared products. And so those will start to stack over time that really go Phase I, Phase II, Phase III, you get an increasing kind of level of milestones. And at the same time, they'll use a lot of those key learnings and data along with the work that we're doing on the prototyping for the private product, and then we'll have a series of kind of milestones. And then obviously, the goal has got the product on market and to get -- to be able to participate in significant royalty streams from these therapies. So yes, super excited about it. We're working closely with our Genentech colleagues, and we're certainly hopeful that they'll select additional candidates and continue moving the program forward at a nice clip.
Awesome. Well, with that, Chad, we're a minute past, but always great to catch up with you. Obviously, thanks for being here. I hope you have a good set of meetings today and everyone on the video. Hopefully, you have a great conclusion of the conference today. Thank you.
Likewise, Dan, thanks for having me.
Bye-bye.
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