Syndax Pharmaceuticals, Inc. (SNDX) Earnings Call Transcript & Summary

September 9, 2020

NASDAQ US Health Care Biotechnology conference_presentation 47 min

Earnings Call Speaker Segments

Yigal Nochomovitz

analyst
#1

So today, we're going to be talking about targeted -- targeted therapy for oncology. So a great topic, and I'm very pleased to have with me 4 distinguished members of management: from Calithera, Susan Molineaux, the CEO; from IDEAYA, Yujiro Hata, also CEO; Jacob Chacko from ORIC, another CEO; and finally, Briggs Morrison, the CEO of Syndax. So welcome, everyone, to the panel and hope for a good discussion.

Yigal Nochomovitz

analyst
#2

So maybe we'll start with some general questions, and then we can move into some of the more company-specific questions. So I guess just to kick things off, maybe we could just dive into the big picture question around what makes a good target. What makes a target worth exploring in precision oncology? What are the features of a good target? And how do you make the call when you feel that a target may not be so good and is something that you need to abandon? So maybe we could just start with that question and everyone could chip in. I don't know if you wanted to kick it off, Jacob.

Jacob Chacko

attendee
#3

Sure thing, Yigal. Happy to. So there's a lot that you wrapped up in that question. I'll just -- I'll maybe start with the first one. So at ORIC, our name ORIC stands for Overcoming Resistance In Cancer. But one of the key areas, I think, like a lot of the other analysts here, that we tend to focus on within that broader subset is precision oncology. And so as we think about targets, as we think about diseases that we want to try to address, or I should say indications we want to try to address, we're always looking with the biomarker strategy in mind upfront. And so the team is asking ourselves, either, a, do we know what the biomarker is today? Or do we have a path to try to develop a biomarker before we put this thing into the clinic or shortly after we put it into the clinic? And the reason for that, I think, gets into a lot of the other questions that you have, but as you think about longer-term development strategy and the rationale for go/no-go decisions. So that's a bar that we've put in place pretty early on for internally developed candidates, even at the target candidate profile stage. And then as we're looking at BD opportunities, as we think about [ TPPs ], we always have that biomarker strategy in mind. It doesn't mean that you have to, at least in our case, that we have to have it in the preclinical stage, but we need to at least know that there's a path to getting one or that there's a hypothesis to identify a biomarker. Maybe I'll stop there and let my panelists chip in.

Yigal Nochomovitz

analyst
#4

Okay. Briggs, you want to give it a go?

Briggs Morrison

executive
#5

Yes, sure. So I think for -- the way we've been thinking about this recently is we actually let the cancer tell us what the right target is. So the lead program that we're working on is a fusion protein that comes about as a chromosomal translocation. I think if we look back over the history of oncology, starting with the Philadelphia chromosome, these chromosomal translocations appear to create driver proteins that drive the cancerous process. So we're working on a fusion protein known as MLL-r. It was described many years ago and results in this very specific fusion protein that fair amount of preclinical data and now our preclinical data suggest is what's driving the cancer. So I think our approach has been to let the cancer tell us what genes has it mutated, what genes has it rearranged and those become obvious targets for the treatment of the disease.

Yigal Nochomovitz

analyst
#6

Okay. Good. Yujiro, you want to offer your thoughts?

Yujiro Hata

attendee
#7

Sure. Yes. No, happy to. For us, our focus is synthetic lethality. So here, really, it's about identifying the synthetic lethal interaction where one component is the drug target and the second is the biomarker. So for us, the biomarker effort actually starts from the start. So we typically will not start drug discovery efforts until we have identified that synthetical lethal interaction. So the biomarker discovery and validation piece is core to what we do and that's really the, I would say, key strategic foundation of synthetic lethality. So for us, what is really the key criteria on the biomarker side for synthetic lethality, a lot of it is to really try to determine how robust that synthetic lethal interaction is. And as we know, as we've seen in multiple cases, the synthetic lethal interaction and how robust the actual biomarker is, is oftentimes different depending on the specific settings you're in. So for example, different tumor types, tumor lineages. And we've seen that play out in a couple of different spaces where you see one specific response from lung cancer type versus others. We think you can do a lot of that work preclinically to really validate how robust that biomarker is. So we try to do as much of that upfront and preclinically before entering the clinic.

Yigal Nochomovitz

analyst
#8

Got it. Susan, did you want to offer your comments?

Susan Molineaux

attendee
#9

Sure. So Calithera is involved in tumor metabolism. And so we've been looking for several years to identify targets that are genetically mutated, somewhere in the metabolic pathway, that creates a dependency for that particular cancer to maintain the activity of that particular target. So if you look at our glutaminase inhibitor program, for example, glutaminase is a garden-variety enzyme, but it becomes very important in certain tumors. So we've been very focused on doing the biology before we went into the clinic to try to understand what is it about a particular tumor or a set of tumors that makes it vulnerable. So when we went into renal cell carcinoma, for example, we knew that the defining mutation there, which is a VHL mutation cause pseudohypoxia, sorry, and up-regulated the need for glutaminase in those tumors. So we have the biomarker before we went into the program. And in the case of lung cancer, we were very interested to find out that there was a dependency on having glutaminase be active in tumors that carried early mutation in a key or nerve pathways. So in that case, it's also the driver mutation for the tumor. And in both the case for RCC and the case for lung with key mutations, we're basically coming in and inhibiting glutaminase, which turns out to be an important enzyme in the tumors that have a dependency on that driver mutation. So we're one-off from the driver mutation, but it's the same concept, which is we can identify the tumors and then go after this genetically defined subpopulation. And again, [ allowed ] us that was known preclinically or determined preclinically, but in the clinic I think is when you get your real answer.

Yigal Nochomovitz

analyst
#10

And so -- okay, so a lot of you have mentioned biomarkers. Just on that topic, what are the criteria for sort of determining if a biomarker is good or bad? I mean is there such a thing as a bad biomarker? And how would you -- if you had a choice of multiple different biomarkers, what would be your selection process to identify the one that would be most relevant for the particular mutation or cancer that you're trying to address.

Yujiro Hata

attendee
#11

So Yigal, I can maybe just start on that one. So I do think biomarkers are definitely not created equal. I think different biomarkers, so for example, can you measure it by next-generation peak on saying is it already on the key panels from foundation medicine and others? Is it a protein expression biomarker [ via IASLC ]? And any time you get into that situation, right, you have to think about cutoffs. And cutoffs are challenging, right? There's been definitely mixed results in our space. So we do walk, at least in the synthetic lethality side, pretty closely on the type of biomarker. And what's really -- how are you going to really execute on it clinically as well as ultimately commercially?

Yigal Nochomovitz

analyst
#12

Anyone else want to weigh in on that one?

Briggs Morrison

executive
#13

Yes. So I'd be happy to that. Yes.

Yigal Nochomovitz

analyst
#14

Go ahead, Briggs.

Briggs Morrison

executive
#15

So again, I think we're talking -- I think what your question is, is about patient selection biomarkers, who are the patients who are most likely to benefit from your therapy? And so again, I think there are potentially challenging biomarkers where that cutoff is unknown, and you have to sort of figure out what's the level at which patients are going to benefit and what's the level where patients aren't? We know that even from way back in the -- in looking at HER2 breast cancer where -- how much over-expression of HER2 is required before you're going to be a responder. In some cases, if you're looking at, as we do translocations or mutations, then you're simply asking is that translocation or mutation present. And if so, then you would predict that that -- at least the target that you are trying to aim at is present in the tumor and that gives you some confidence that, that patient may benefit. So I think we're taking about these patient -- that the biomarkers that help us select patients who are most likely to benefit from that therapies.

Yigal Nochomovitz

analyst
#16

Okay.

Susan Molineaux

attendee
#17

I think you have to understand your biomarkers biology. So I'll give you an example. We're working on KEAP maintenance, NRF maintenance, that the same pathway. But the KEAP mutation is complicated. So these are gain-of-function mutations and when the tumor gains this function, then they have oxidative stress management pathways on full time. So gain of function is complicated and the KEAP mutations are sprinkled throughout a pretty large gene. And so we actually had to go in and figure out the data for how many of them were actually pathological and active and how are them -- many of them were silent mutations. And the majority of them are known to be pathologic, but nonetheless because are relying on next-gen sequencing. When we run our studies, we're only putting in the pathologically known mutations. So we're sifting or filtering out the ones that don't have necessarily active mutations. And we'll use the ongoing trials to figure out whether that's true or not. So we had to develop, in addition, to the NGS biomarker itself that we could detect on a standard panel. We also developed -- or developing IHC assays to make sure that, that pathway is really on. So I don't think you can just pick a biomarker and then go into the clinical trial and not think about the biology.

Yigal Nochomovitz

analyst
#18

Got it. Jacob, do you want to answer anything?

Jacob Chacko

attendee
#19

Yes. Yigal, I'll just say that -- so we tend to think of biomarkers pretty broadly. So it's about selecting the patients that go into the trials, but then also PD biomarkers as we think about whether we're getting the right target engagement and downregulating in the way that we'd like to the target of interest. I think it's sort of a mix of what the other panelists have said. So it's, I think, in our case, any biomarker is a good biomarker, but there's gradations of good because anything that helps us get a little better sense of activity is helpful. But a, can you measure it with existing modalities as Yujiro mentioned? B, is it binary or is it on a spectrum, which complicates the biology? And then third is, is it directly related to the target of interest and can it be influenced by anything else? So those are kind of the 3 filters that I think about as we grade our biomarkers. And sometimes you sort of get the wrong end of the spectrum on each of those 3 criteria, but that's the importance of having multiple biomarkers. So in the case of ORIC-101, our lead asset, it's a glucocorticoid receptor antagonist. And so in our clinical trials, we measure GR expression by IHC, which checks a lot of the boxes I just mentioned. But we also mentioned -- we also measure cortisol levels. We measure gene expression in PBMC. So it's really about triangulating to get to the right answer because that biology happens to be particularly difficult. Some of our other programs are more like standard kinase fusion targets, where, I think as others have mentioned, the biology and the biomarkers are a lot more straightforward.

Yigal Nochomovitz

analyst
#20

Got it. Sorry, someone wants to -- okay. All right. Good. So in terms of biomarkers, when -- at what point in your development process, do you need to start to think seriously about companion diagnostics? Jacob, you just mentioned IHC, which is obviously a fairly well-established method. But at what point do you need to be thinking forward-looking in preparing for a companion diagnostic for your patient population? I mean, obviously, there are going to be tumors where the mutation is highly, highly prevalent, and you don't need to do that filtering step. But then, of course, that's not always going to be the case. So just some quick thoughts on how companion diagnostics enter into the calculus when you -- in your development programs?

Jacob Chacko

attendee
#21

Sure. I can jump in first on that one, Yigal. So our default at ORIC is that the companion diagnostic is we basically have to have a companion diagnostic. That ought to be the default upfront for any program at whatever stage. And if we're not going to have one, then there ought to be an argument as to why not. That's kind of the default mentality we start with. To your point, Yigal, just about -- and even just using the filters I talked about of -- is a diagnostic available today or not, at -- we don't let it stop us. So if there's not a modality available today to measure it or it's not widely used today clinically, it wouldn't mean that we wouldn't want to use that as a biomarker. And the reason for that you're very well familiar with it from our prior interactions when I was at Ignyta. When working on TRK Biology, back when we and Loxo started focusing on TRK, it wasn't on FMI's panels. And it was -- over the course of time that it started getting added to those panels and then routinely used. So neither us nor Loxo ever let that stop us from using -- going after that, even though it wasn't on the NGS panels to begin with. But I'd say we do have an eye towards -- there's got to be a path to more widely disseminated diagnostic testing at some point. So that's why we tend to like things that are IHC based, if possible. But it doesn't mean that it's always possible. And then obviously, these days with NGS being more widely prevalent, that simplifies things quite a bit.

Yujiro Hata

attendee
#22

Yigal. I'm going just to add what Jacob said is, I think it also does depend on the type of tumors you're going after. So we know, for example, breast and lung cancer, for example, NGS is more readily done, right? So if your mutation or alteration is on one of these NGS panels, to your point, right, you could probably do that in the clinic, at least, in the early portion. If it's not, then, yes, what are the different approaches? Or if you're in a cancer type where genetic testing is just not done regularly, what do you do. So I think there are other approaches that are probably sort of more cost-efficient like IHC versus trying to do NGS independently, if it's not on one of the key panels. So I think it is sort of a multiparameter to the question. But we began that work preclinically very early. So for example, for MAT2A, we're preparing the IND for the end of the year. We already have our NGS plan, IHC assays are already pretty much in place for execution, and we haven't dosed the patient yet.

Yigal Nochomovitz

analyst
#23

Any other thoughts, Briggs or Susan or we can...

Susan Molineaux

attendee
#24

Yes. You know I think one thing about a companion diagnostic that's really important to think about in the clinic is you can start with good biology and an assay. But getting all the way to regulatory approval with the CDx is a very long process of qualifying your assay. So if you don't start with something in the beginning, you'll really be behind the 8 ball. But even when you start with something, you have to understand that you're going to go through a lot of work to validate that assay. So we're in the NGS world, and KEAP and NRF are new arrivals in the NGS panels. So we're at the beginning stages, we get to use the assay that we think. We would use this as a CDx, but it is a process, and people should just be reminded that it's as long as the course of the trials themselves before you get to validated answer. So you can't wait to start or it will actually slow your clinical trial development program then.

Briggs Morrison

executive
#25

Yes. I guess I would just echo what Susan said, I do think -- or all the panelists have said. I think this panel is about precision targeted agents in oncology. All of us are going after specific populations of patients for which there is a diagnostic test that's going to tell us who are the patients who are most likely or entirely likely to respond to our drug. And so I do think in this field, one has to start very, very early with that diagnostic strategy. In some cases, it's already, as Jacob said, it's already available. And so we're fortunate in that the MLL-r rearrangement is picked up by standard cytogenetics. And so as we go into the trials, we already know who the patients are. But as Susan said, once we go through the regulatory process, you're going to have to have your own validated companion diagnostic that the regulators can use to approve your drug as Jacob talked about for the TRK fusions. So I think starting on that strategic analysis, as Yujiro said, before you even get in the clinic is really important.

Yigal Nochomovitz

analyst
#26

Okay. Maybe we'll do just one more big picture question, then we can sort of dive into more company specifics for the second half of the session. In terms of clinical trial design for precision targeted oncology drugs, I'd just love to get each of your thoughts on what is the sort of correct way, if there is a correct way to do them? And what are the biggest pitfalls that people run into that get you into trouble early? I think that would be very interesting for everyone to hear your thoughts on that one. So Jacob, do you want to kick that one off?

Jacob Chacko

attendee
#27

Yes. Sure. Happy to Yigal. So I think for us, it's probably -- there's probably a couple of different filters that we think about. So one is upfront, how big is the aperture in terms of patient selection. So there's pros and cons to being too restrictive upfront and especially as you're still elucidating the biology, particularly in more complicated targets. So we tend to think of a broader funnel in the beginning. So for example back to ORIC-101, in our dose-escalation studies, we're not selecting by GR status. We want to see all-comers so that we can try to understand any correlations that we can see in the GR status with what we're seeing in terms of early activity. So that's upfront. And then I'd say beyond that, just being pretty forward-thinking about what are the thresholds at which you'd be excited about the data that you see. Because, in particular, if you're taking a precision oncology approach, you ought to be -- if the target is working, you ought to be having better-than-average type results. And so just knowing what is good or what does success look like upfront and then using that to kind of filter your thoughts later down the line in the trial as to whether you're hitting success or not. And then being pretty dispassionate about that. And if you're not hitting the target thresholds, either understand why that is and recalibrate or just move on to a new program, if it doesn't seem like you're successful.

Yujiro Hata

attendee
#28

Yigal, yes, I think just to add on what Jacob said. I think those are great points. For us, I think it's really 2 things we try to think about. One is sort of the transitional piece, so bridging the preclinical to clinical. And we haven't really talked about it too much yet. But I think in the precision medicine oncology space, it's really connecting your PD marker, with your genetic setting that you're targeting, right, and sort of making that connection between PD and activity. So in the wild-type setting versus the genetic alteration setting, are you seeing differences in PD and, therefore, of clinical activity. And I think that sort of connection early in the clinic, I think folks, I don't say others that may have sort of tripped up a little bit, perhaps didn't have that piece as firm as one could have. But I think, ultimately, those data sets do play out as you get sort of towards mid-late-stage development. So I think that is a core component to all of this. And then I think lastly on the clinical development side as well as -- I think as we talked about, just thinking through early about implementation of the diagnostic, I think, is absolutely essential. So -- and I know Jacob was in an organization like that. There are companies who've got to find these patients far and wide and really understanding what that's going to take depending on the patient population you're going to go after. And obviously, that goes all the way to commercial implications as well.

Susan Molineaux

attendee
#29

I think that's the same -- that's true for our study in lung is we have to set to screen a lot of patients. So I think you have to build that into your clinical trials design. We're looking for something that's about 1/5th of the population that you have to screen a lot of patients...

Yigal Nochomovitz

analyst
#30

Did we lose Susan? Hello?

Jacob Chacko

attendee
#31

I heard Susan.

Yujiro Hata

attendee
#32

I can hear you.

Yigal Nochomovitz

analyst
#33

It goes for a second there.

Susan Molineaux

attendee
#34

So I was just saying if you're screening a population that relatively big, and you want a fraction of it, you have to build that into your clinical trial design. This is just a practical comment. You have to have enough sites open and you have to have an easy way to screen patients and build that into your clinical tunnel.

Briggs Morrison

executive
#35

Yes. I think it was covered. I won't add anything else.

Yigal Nochomovitz

analyst
#36

Okay. All right. Good. Well, let's move into some of the more company-specific questions. Maybe I can start with you, Jacob. So in terms of ORIC-101, you already mentioned the glucocorticoid receptor antagonist targeting solid tumors as well as prostate cancer. So it would be helpful if you could just give everyone, who is less familiar with ORIC, just a high-level overview of the rationale for glucocorticoid receptor antagonism as a mechanism to combat resistance to -- for example, in prostate cancer to combat AR-dependent drug resistance as well as chemotherapy in solid tumors.

Jacob Chacko

attendee
#37

Sure. Yes, happy to. I'll give the quick notes version of some pretty complicated biology. So with ORIC-101, the lead asset, it's an antagonist of the glucocorticoid receptor. And really why the company was founded in the early days was Charles Sawyers, who is one of our founders, had been instrumental to the discovery and development of both Xtandi and Erleada for prostate cancer. And he was asking a question of why were patients eventually becoming resistant to those drugs that otherwise do quite well for patients for a long time. So from the work in his lab, they essentially implicated the glucocorticoid receptor as a mechanism of resistance really acting as a bypass pathway for the androgen receptor because GR, it can activate. It has a very overlapping set of transcriptional targets as the androgen receptor has. And so the idea was that when you treat patients with Xtandi or Erleada, and it's blocking AR signaling, GR seems to then get upregulated and essentially take over for AR signaling. And so if you could come up with a selective and potent GR antagonist, dose it with an AR modulator, you could then block both the AR and the GR pathways and hopefully resensitize patients. So that's where the company originally started, and that was where the focus on prostate cancer came. In parallel with all of that and actually outside the company, there's a whole separate group of KOLs who had started looking at GR as a mechanism of resistance to chemotherapy in general. And there what they found was that GR seemed to be playing a role directly in -- related to transcriptional targets that are implicated in AMT and antiapoptosis, so actually a different mechanism of action. So we decided to run with that as well. And so internally, we did a lot of preclinical work, testing both the both mechanisms of action; GR as a bypass for AR and prostate, but then also separately GR's role in promoting antiapoptosis and EMT in solid tumors. And so for that reason, we've now got 2 different Phase IB dose-escalation studies underway with ORIC-101. So one is ORIC-101 plus Xtandi in prostate cancer, and then the other is ORIC-101 plus ABRAXANE in patients with various solid tumors.

Yigal Nochomovitz

analyst
#38

I'm going to hand the baton over to my colleague, Mohit, who has got some questions for IDEAYA and Calithera.

Mohit Bansal

analyst
#39

Great. I mean yes -- so maybe I'll start with Susan. You -- by the way, you guys are doing great actually. So you could have conducted the whole panel, amazing. So no, I mean, just specific questions on your KEAPSAKE program, which actually you have an interim data readout in 2021. And we know that with NRF2 and KEAP1 alterations, patients have a really poor survival, 8 months or so with standard of care. When we see the data in 2021, Susan, can you please help us frame what sort of signal improved -- signal or improvement we need to see or you need to see to advance the drug into a more controlled setting or expand the program here?

Susan Molineaux

attendee
#40

Sure. So you know it's an interesting trial we're running. It's first line patients, and we're giving them a standard of care, which means they can get IO drug, anti-PD1 as well as their standard chemo, which will include a platinum therapy. And so what we're trying to do is add to the standard of care. And the reason we picked this KEAP/NRF mutation tumor type or patient population is because they do so poorly clinically. So it's just a very poor prognostic factor. So normally, you think of the first line trial as being something you'd have to conduct over a long period of time. Unfortunately, for these patients and what got us very interested in the pathway from a clinical perspective was that they're winding up with progression-free survivals in the 3- to 5-month range, and these patients are failing 1 standard of care multiple agent therapies in a really surprising way. And that's half to less than half of what you would expect for a median progression-free survival in regular patients that don't have a KEAP or NRF mutation. And the overall survival is even more startling. So in retrospective studies, this is about an 8 months of median survival population compared, again, to wild type that don't have KEAP/NRF mutations, which are in the double digits. So we're looking for, in the interim data, a progression-free survival trend taking you away from the KEAP mutant median PFS of 3 to 5 months and increasing it more towards the wild type, which, again, we would expect to be in the 9-, 10-month range. And so just a couple of months change in PFS would be moving you quite straightforwardly in the right direction, and that's what we're looking for along with any increases in response rate or whatever. But when it's a population interesting, it's such a high unmet need that you can get relatively quickly a feel for whether you're moving this population closer to wild type. And we're enrolling the study in the United States in many different sites. So we hope to be able to accelerate this process of screening for patients and getting them on the trial, getting a look at the interim relatively quickly and then using that data to design the next study, which would be a bigger study. So a clear registration path, I think, if you have reasonable data in a population that usually would have -- be having more benefit in the first line.

Mohit Bansal

analyst
#41

Got it. This is very helpful. And maybe Yujiro, a question for you. I mean you are -- so you have been developing your synthetic lethality platform for quite a while. And now with this whole platform, synthetic lethality as an approach to treat cancers is coming to the lime light. I mean there are multiple companies are trying to do something similar to you as well here. Could you briefly touch upon what are the unique features of your platform that help IDEAYA stand apart from the peers? And as a field, where do you think the field is going? I mean do you -- how do you think this field will evolve over time?

Yujiro Hata

attendee
#42

Sure. We think the synthetic lethality space over the last several months has actually been a really remarkable time. We've seen a lot of different pharma partnerships done over the last couple of months, pretty big, large partnerships across a lot of different targets, a lot of different programs. And we have seen over the last year or so just continued really remarkable data coming out of the PARP-BRCA space and others. So I think on a lot of levels, it's been a really exciting period. We started our efforts over 5 years ago. We were the first synthetic lethal research-based company to go public, spring of last year. And really, for us, we think really the key value that we provide in all of this, especially from a research perspective, is the integration of various different technologies. So on the target discovery and biomarker discovery side as all the panelists have been talking about, we utilize various molecular biology tools, including CRISPR knockout, sRNA knockdown, dual CRISPR as well as other approaches related to bioinformatic. And we've now integrated that fairly extensively through key capabilities on drug discovery that are specifically tailored towards the type of targets we're finding. So we've invested heavily on structure-based drug design. We've actually solved the crystal structure for all 4 of our synthetic lethal programs; 2 of them, we think, are actually potential first enrolled structures that have been resolved. And I do think those are key assets as part of our GSK partnership that was announced a few weeks ago. Where is the field going? Obviously, I think that's a long answer. I'll be brief. But I think for the whole field, that's really exciting because I think we are seeing really the next wave of synthetic lethal programs hopefully enter the clinic. So I think for the whole field, that's really great news, whether that's from us or one of our peer companies. Yes, I think it's going to be a really exciting next couple of years. So the biology is really blooming. And from that first wave of PARP, WEE1, CHK1, ATR, DNA-PK so on and so forth, I would say there was a several year lull, and I think we're kind of getting past that now. Then it should be really exciting to see how this develops over the next few years.

Mohit Bansal

analyst
#43

Great. I'll pass the baton over to Joel.

Joel Beatty

analyst
#44

Thanks, Mohit. So Briggs first, Syndax is striking to see how much the company has changed over the last year, in that there was an unfortunate Phase III failure, but you wouldn't necessarily notice that from the stock price because there's been 2 early-stage clinical assets that have both advanced and generated clinical data and caught a lot of attention. I think maybe the one that has caught the most attention is the menin inhibitor. So I'd like to ask you about that one. Could you summarize the clinical data over -- that's come out over the last year or so? And maybe give us an update on the status of that program?

Briggs Morrison

executive
#45

Yes, sure, Joel. So thanks very much. Look, we're very fortunate that in the precision oncology space, we benefit from years of work that other people have done with either specific genetic mutations like EGFR mutations, or in the fusion world that Jacob has worked, and in others, where we know who the patients are they're diagnosed. In our case, we're fortunate, those patients are diagnosed at the time of their presentation with acute leukemia. And we know about these MLL-r rearrangements. They're sort of, in a way, a standard fusion protein that we've seen, as I said earlier, for BCR-ABL or for EML4-ALK or for the TRK fusions or RET fusions. They're unique, they're different in that it's not a kinase that is causing the fusion protein, it's actually a transcription factor fusing to another protein that targets that to a specific location on chromatin. And so it's essentially a protein-protein interaction that we're blocking. We're, again, quite fortunate in that protein-protein interaction is a linear amino acid sequence, it's not too big faces bumping into each other. And so as we went into the clinic, we had very nice, I think, target validation, very nice preclinical data that suggested this was a valid target and had done some work to figure out sort of what kinds of exposures we might need in order to get the drug to work. So we presented some data at AACR earlier in the year where we went through that whole story, how we made the molecule, knowing the crystal structure of the target and designing a molecule that would fit there, going through the preclinical data to show that this seemed to be a valid target, both from genetics and from using our molecule, and then the work we did to try to predict what exposures we would need to get efficacy. We were, I have to say, very, very fortunate that early in the trial, our drug is metabolized by CYP3A4. And so when you combine the CYP3A4 inhibitor, you actually get higher exposures. The second patient to enroll on the trial who had a specific translocation that we're looking at, got quite high exposures because they were on a CYP3A4 inhibitor and got exposures that we thought would predict response and the patient had a complete response. So I think that was exciting to people who are working on the target to know that, in fact, at least there's 1 patient that's been described now in the public domain, where when you hit this target with the right PK, you can get a complete response. At AACR, we had presented the first 6 patients. It was primarily a preclinical presentation, but we presented a little bit of the clinical data. And so we've continued to advance that program, and we anticipate that by the end of this year, we should have a recommended Phase II dose or doses that we want to take into future trials, and we look forward to presenting that whole completed Phase I trial in the first half of 2021.

Joel Beatty

analyst
#46

Thanks, Briggs. And back to you, Yigal.

Yigal Nochomovitz

analyst
#47

Okay, great. Thanks, Joel. Thanks, Mohit. Jacob, back to you, if you don't mind, just a more practical question in terms of your ongoing trials. You have the prostate trial as well as the ABRAXANE trial in solid tumors. One of those is reading out in the first half of the year, next year, and the other one in the second half of the year. So think a lot of investors would just like to get to the extent that you can comment and update on where these trials are in dose escalation? And what are the factors involved in determining which of those trials, the solid tumor or the prostate trial, is going to end up reading out first?

Jacob Chacko

attendee
#48

Sure thing, Yigal. Yes. So the ABRAXANE trial got a 2-quarter head start on the prostate trial. The ABRAXANE trial started roughly middle of last year, the prostate trial started in Q1 of this year. And the only reason why we've left it open-ended as to which will read out when is that the ABRAXANE trial is, obviously, enrolling multiple different tumor types. It's a bit more complicated on the recommended Phase II dose selection that takes place there. The enzalutamide trial is all in prostate. And so we're just leaving the window open that potentially the prostate trial could catch up timing-wise. What I'll say is I'm not yet ready to commit to which one reads out in which half next year, but they're both enrolling well. And I think probably as many of the panelists here would say, despite the challenges that COVID has presented to all of us, in particular, with oncology trials, I think we've been fairly well insulated from that. And so they continue to enroll well. And we continue to reaffirm our guidance that by the end of this year we'll pick the recommended Phase II dose for both of those studies and then start the expansion cohorts for both of those studies.

Yigal Nochomovitz

analyst
#49

And on the solid tumor front, is there any reason to believe that ORIC-101 would work better in a particular solid tumor, in combo with Abraxane versus another? Or is that's more of an open question?

Jacob Chacko

attendee
#50

You know I'd say it's more of an open question. At least preclinically, we see very compelling activity with the GR antagonist in many different tumor types, so whether that's ovarian, triple-negative breast, so multiple different tumor models and also, I should say, multiple different chemo classes. So while we're starting with ABRAXANE because of its ubiquitous use, we've seen compelling activity, at least, preclinically with taxanes, platinums and antimetabolites. We've chosen -- obviously, we've got to start somewhere, so we're starting with the taxanes with ABRAXANE because of its wide use and the fact that it's not dosed with any upfront steroids, and so it makes it much easier in terms of a starting point. But I think if you look at competitor company, Corcept, which is also developing GR antagonists, they've already publicly reported on responses in pancreatic cancer, ovarian cancer and a few other tumor types as well. So I think it's open.

Yigal Nochomovitz

analyst
#51

Got it. And maybe if you could just spend a 1.5 minutes, 2 minutes just on some of your earlier stage assets, which are interesting, CD73 inhibitor, which I believe you have an IND going in, in the next -- first half of next year. And then, of course, the new asset that you've been licensed from Mirati, the PRC2 inhibitor, if you could just offer your thoughts on the strategic rationale for bringing those in and what the market opportunity for those assets looks like?

Jacob Chacko

attendee
#52

Yes, yes. I'll give the 60-second version for that. So as we -- I mentioned upfront, precision oncology is a huge area of focus for us as we think about developing the pipeline. Beyond that, we also have 2 other areas that are of high interest to us. The key tumor dependencies, which Susan referenced earlier, and then also hormone-dependent cancers. And so everything in our pipeline checks at least 1 of those boxes, if not multiple of them. Susan, I know, knows the adenosine pathway well. And so we've spent time there focused on the adenosine pathway and specifically on CD73, developing a small molecule, orally available inhibitor of CD73 that we believe differentiates quite nicely. The plan for that is to file an IND in the first half of next year. But beyond it, I think just stepping back a little bit from the pipeline itself, we're really fortunate to assemble the first rate clinical team that was actually with me at Ignyta, and then a research leadership team that is largely out of Genentech. And so with that team's capacity, we say we're also going to go on the hunt for other interesting assets. So we had long-dated discussions with Mirati, found an asset, an EED inhibitor, which targets the PRC2 complex. It's an approach that Novartis and others have taken to look at prostate cancer specifically as well as some other liquid tumors. And so initially -- so we in-licensed that asset from Mirati. We plan to file an IND in the second half of next year. It's really part of that second-generation of PRC2 inhibitors, and we'll initially focus on prostate cancer for its development. But we're actually right now preclinically exploring other biology as well to see if there's other indications of interest we'd want to take it into.

Yigal Nochomovitz

analyst
#53

Perfect. Well, maybe in the last 3 minutes, we could just do a quick lightning round. And just everyone can go through what they see as the next big catalysts for each of your companies over the next 6 to 12 months. And also just briefly mentioned the extent to which COVID has impacted your clinical development and what you've done to minimize the COVID headwinds?

Susan Molineaux

attendee
#54

Sure, I can start. So Calithera has a potential registration trial, randomized blinded trial, reading out end of fourth quarter or early first quarter in RCC. So we're really excited about that. It's a combination of using our glutaminase inhibitor, telaglenastat, with cabozantinib which is a tyrosine kinase inhibitor. And then we're looking forward after that to interim data from the trial we've been discussing, the KEAPSAKE trial, which is KEAP/NRF mutants in first line lung in standard of care versus standard of care alone. And then we also have an arginase inhibitor, CB-280, which is in cystic fibrosis patients that just started enrolling very recently, and we hope to see data in 2021 as well. COVID actually caused delays on both our CF and our oncology trial start for CF and lung, and delayed it by about 1 quarter and that was unfortunate. But other than that, we've been super lucky. We finished the enrollment of our RCC trial before COVID hit. And COVID has caused delays in how to bring the data in and clean it, but has not caused delays in patients getting their scans and being on trial, et cetera. So we feel like we dodged a bullet on this.

Yigal Nochomovitz

analyst
#55

Got it. Jacob?

Jacob Chacko

attendee
#56

Yes. Sure. So key catalysts for us coming up with ORIC-101, as I mentioned, in 2021, we'll have 2 interim data readouts, one for each of the dose-escalation studies that are going on. So one of those will happen in the first half of next year with, the other one in the second half of next year. Those data readouts will encompass, for each of those 2 arms, all the initial dose-escalation data, but then also the early expansion cohort data for both of them. And so that will be for 101. And then as I mentioned, for CD73, ORIC-533, that will enter -- well, that will -- we'll file an IND on that in the first half of next year. And then for ORIC-944, the EED inhibitor, we'll file an IND in the second half of next year. And then in terms of COVID challenges, I think, as Susan referenced, there's -- in terms of data collection, data gathering, data cleaning, some of that, obviously, some challenges. I'd say, in general, the team has been able to navigate around it. And we've been fortunate but have really just put in some creative solutions, like doing blood draws out of the patient. The clinical team -- Susan and I were talking about this in a separate conversation, the clinical team has been remarkably efficient at doing trial site initiations remotely and virtually, and that's probably the way of the future in a lot of ways. So we've been able to, generally speaking, navigate around COVID, and it hasn't affected our time lines.

Yigal Nochomovitz

analyst
#57

Got it. Briggs?

Briggs Morrison

executive
#58

Sure. So the 2 major readouts we have at the end of this year, we'll be presenting sort of Phase IB data on our CSF1R inhibitor in chronic graft-versus-host disease. And then early in 2021, we'll be presenting the Phase I data on our menin inhibitor in AML, both MLL-r and NPM1 patients with AML. So -- and I would say from a COVID point of view, like the others, our programs have generally not been affected, and our clinical teams have done a super job of keeping things on track.

Yigal Nochomovitz

analyst
#59

Perfect. And finally, Yujiro?

Yujiro Hata

attendee
#60

Sure. Yes. So for us, obviously, the last month or so ago, we announced a significant partnership with GlaxoSmithKline across 3 of our synthetic lethal programs. So I'd say, in terms of key catalysts, we're very focused on getting MAT2A IND filed by the end of the year. We continue to be on track for that. We do believe we have a potential best-in-class molecule in the space. And we do anticipate we'll put out some data on that. And obviously, I think there is a lot of interest and attention towards the MTAP deletion space in general. So we think that's going to be a potentially significant catalyst. Beyond that, we have 2 additional programs in PARG as well as pol-theta, where we have publicly guided that we are on track to pick a development candidate for those 2 programs as well over the next couple of quarters. So I would say, yes, we're really excited about the next couple of quarters here as we see synthetic lethality mature. In terms of our clinical program, IDE196, in collaboration with Pfizer, we did announce the initiation of a MEK combination. We have guided towards interim data for that towards end of next year, early the following. So I think that's also going to be a key potential readout as well as our GNAQ/11 basket trial where we did recently announce the skin melanoma expansion. And so we are guiding towards, first half of next year, interim data on that as well. In terms of COVID, I think similar to the other panelists, we have seen certain areas of enrollment on the basket trial side. We have seen some impact in terms of scan timing, so some patients being very cautious about coming into hospitals to get their scans. So I think these have been sort of more one-off cases that we're monitoring very closely. But yes, overall, I would say they have been manageable, and we have been generally able to stay on track for several of our key target catalysts.

Yigal Nochomovitz

analyst
#61

Perfect. Well, thank you all so much for your participation. I hope you enjoyed it. Good luck with the one-on-ones during the conference, and, more importantly, good luck with your clinical development strategy across the board. Thank you.

Yujiro Hata

attendee
#62

Thank you very much.

Jacob Chacko

attendee
#63

Thank you so much.

Briggs Morrison

executive
#64

Thank you.

Read the full transcript via the API

You're viewing the first half of this call. Get the complete Syndax Pharmaceuticals, Inc. transcript — plus 251,000+ 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 Syndax Pharmaceuticals, Inc. earnings transcripts and 251,000+ 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.