Wave Life Sciences Ltd. (WVE) Earnings Call Transcript & Summary
May 23, 2023
Earnings Call Speaker Segments
Operator
operatorGood day, and thank you for standing by. Welcome to the Wave Life Sciences conference call. [Operator Instructions] Please be advised that today's conference is being recorded. I would now like to hand the conference over to your speaker today, Kate Rausch, Vice President of Corporate Affairs and Investor Relations at Wave Life Sciences. Please go ahead.
Kate Rausch
executiveThank you, operator. This morning, we issued a news release announcing top line data from our FOCUS-C9 clinical trial. A replay of this webcast will be available on the website, www.wavelifesciences.com following today's call. Before we begin, I'd like to remind you that discussions during this conference call will include forward-looking statements. These statements are subject to a number of risks and uncertainties that could cause our actual results to differ materially from those described in these forward-looking statements. The factors that could cause actual results to differ are discussed in the press release issued today and in our SEC filings. We undertake no obligation to update or revise any forward-looking statements for any reason. Joining me today with prepared remarks are Dr. Paul Bolno, Wave's President and Chief Executive Officer; and Anne-Marie Li-Kwai-Cheung, Wave's Chief Development Officer. Paul will begin the call with a brief introduction, and Anne-Marie will then provide more detail on the data. Following the prepared remarks, we will be available to take questions on the call. I'll now turn the call over to Paul.
Paul Bolno
executiveThank you, Kate. This morning, we reported top line data from our FOCUS-C9 clinical trial of WVE-004 in patients with C9orf72 associated ALS and FTD. While we observed potent and durable target engagement, WVE-004 did not show clinical benefit compared with placebo, and poly-GP reductions were not associated with stabilization or improvement in functional outcomes. The results do not support advancing WVE-004, and we have made the difficult decision to discontinue treatment in the FOCUS-C9 study as well as the open-label extension trial. On behalf of all of the Wave team, I would like to start by expressing my gratitude to the participants in the FOCUS-C9 trial, their families, the clinical sites and our study advisory committees for their participation and support. I would also like to thank our Wave employees for their dedication and commitment to the ALS and FTD communities and to our WVE-004 program. We set out on an ambitious path to advance an RNA therapeutic to address the complex biology of C9orf72 associated ALS and FTD. For C9 and ALS, this genetic subset has been explored by other now discontinued C9orf72 targeting oligonucleotides. Following our positive initial single-dose data last year, which showed potent and durable reductions in poly-GP, we were hopeful WVE-004's unique design and pharmacologic profile would enable us to best test the relationship between C9orf72 transcriptional variants and clinical benefit in patients. While we did again see robust poly-GP reductions with the full doses of WVE-004, the lack of any corresponding clinical benefit clearly illustrates the complexity of the disease and the limitations of poly-GP as a biomarker. Anne-Marie will cover the full top line results in a moment. For Wave, we take several learnings from the WVE-004 results. First, these data reinforce that our platform innovations, including PN chemistry and preclinical data on RNA target engagement and pharmacology are translating in the clinic. With only 10 milligrams of WVE-004 dosed every 3 months, we continue to observe potent and durable target engagement and a generally safe and well-tolerated profile. Second, today's update is an important reminder that our pipeline's current focus remains on diseases where biomarkers correlated with functional outcomes are available. Our lead programs in Huntington's disease, Duchenne muscular dystrophy and alpha-1 antitrypsin each leverage biomarkers that are correlated with clinical outcomes, something that was lacking for C9orf72 biology with poly-GP. I'll now turn the call to Anne-Marie for a more detailed discussion of the data.
Anne-Marie Li-Kwai-Cheung
executiveThank you, Paul. Before talking about the data that we observed, I'd like to start by recognizing the commitment to patients and their families as well as the investigators involved in our study and sincerely thank them for their contributions. WVE-004 is designed to target pre-mRNA variants with hexanucleotide repeat expansion that results from the C9orf72 mutation, which are hypothesized to lead to multiple drivers of toxicity in C9 ALS and FTD. These crack transcripts result in downstream dipeptide repeat proteins, including poly-GP. While poly-GP protein levels are not predictive of clinical outcomes, they do enable us to evaluate 004's affordability to silence the target transcriptional variance. The FOCUS-C9 study was comprised of 2 parts, a single-dose and multi-dose portion. In 2022, we reported positive initial single-dose data that demonstrated proof-of-concept with a robust and durable knockdown of poly-GP in 10-milligram and 30-milligram single-dose groups. Following this data, we adopted the trial to include a single-dose cohort at 20 milligrams, and we also advanced 004 in 2 10-milligram multi-dose cohorts. In the first multi-dose cohort, patients received 4 monthly doses. And in the second cohort, the patient received 2 quarterly doses. Patients will follow through 24 weeks. Today's top line results are from a planned analysis of the study. Turning to the data. Across the single and multi-dose portions of the study, 26 unique patients have been treated with WVE-004. 004 was generally safe and well tolerated across doses, with most adverse events presenting as mild in intensity. The most common adverse events in the study were related to disease progression and intrathecal administration. There's no evidence of inflammation in the CSF, as indicated by no clinically meaningful changes in CSF white blood cells or protein nor were the clinically meaningful changes in blood chemistry or hematology. Following 004 treatment, we observed a robust knockdown of poly-GP across single dosing and multiple dose regimens indicating that we have been successful in engaging target. In the 20-milligram single-dose cohort, the mean maximum poly-GP reduction from baseline was 61%. In the 10 million multi-dose cohort, we observed mean maximal poly-GP reductions of 48% and 50% for the quarterly and monthly cohorts, respectively. Exploratory assessments included monitoring of CSL -- CSF neurofilament light chain, or NfL. CSF-NfL elevations were observed in the 20-milligram single-dose cohort and the 10-milligram monthly and quarterly dose cohort. However, in the 10-milligram, quarterly cohort confidence intervals overlapped with placebo. Importantly, there was no correlation between CSF-NfL increases and changes in ALS-FRS-R. The study was not powered to detect statistically significant changes in outcomes such as ASF -- ALS-FRS-R. However, by 24 weeks of treatment, one would expect to observe early signs of clinical benefit. We treated and placebo dosing arms beginning to diverge in 004 work conferring benefit. Unfortunately, we did not observe any kinds of benefit for 004 treated patients versus placebo on any exploratory clinical outcome measure, including ALS-FRS-R. In the Q12 cohort, there was no difference in ALS-FRS-R mean changes versus placebo at any time point. In the Q4 cohort, through 24 weeks of 004 treatment, patients showed greater reduction in ALS-FRS-R mean change versus placebo. However, reductions were not statistically different from the decline seen in natural history. Additionally, there was no benefit observed for 004 treated participants with FTD versus placebo on FTD related outcome measures. As reductions in poly-GP were not associated with stabilization or improvement in functional outcomes and in the absence of biomarkers, we've even been likely to predict clinical outcomes. We made the decision to discontinue development of WVE-004. All patients in the FOCUS-C9 clinical trial as well as patients in the open-label extension will discontinue dosing of WVE-004. I'd like to again express our sincere thanks to all patients and sites who have contributed to this study. While the outcome is not what any of us would have hoped for, we do hope that will contribute to the scientific understanding of the disease and further enable a future successful treatment for people with C9orf72 ALS and FTD. I'll now turn the call back to Paul.
Paul Bolno
executiveThanks, Anne-Marie. This is not the outcome we hoped for. While our molecule successfully engaged target as intended, the biological impact of RNA target knockdown did not translate as we expected. As Anne-Marie just mentioned, we are encouraged that these data may advance future research on C9orf72 biology, and we are committed to sharing results from this study at an upcoming medical congress. For Wave, today's data demonstrates the potential of our multimodal platform to deliver very potent RNA targeting therapeutics with favorable safety profile and the opportunity to extend dosing intervals. It's important we spend a moment recognizing the key differences in target biology and biomarker availability for our lead pipeline programs and why we are particularly optimistic about each of these as we drive them forward to meaningful and near-term milestones. First, we are on track to share data from our SELECT-HD study in Huntington's disease in the second half of this year. It's worth pausing to highlight several unique aspects of HD Biology. In HD, the number of CAG repeat expansions in the mutant HTT gene is predictive of outcomes, including age of onset and age of death. We are able to assess mutant Huntington protein in the CSF, a biomarker that is correlated with disease progression. And importantly, our approach is unique as WVE-003 is designed to selectively target mutant HTT and spare healthy wild-type HTT. Beyond HD, we're rapidly advancing WVE-N531 towards Part B of potentially registrational study for void with DMD amenable to exon 53 skipping. Our excitement for this program is grounded in our best-in-class exon skipping data shared in December last year. In Part B, we will be assessing WVE-N531 over 24 and 48 weeks with the hope that our strong exon skipping data translates to meaningful dystrophin protein levels. With DMD, we can look to milder Becker phenotype as real-world evidence to support the therapeutic threshold for dystrophin protein. We're also leveraging our multimodal platform to pioneer first-in-class RNA medicines with a strategic focus on protein restoration and repair targets, such as alpha-1 antitrypsin. We are on track to transition WVE-006 into clinical development by way of CTA submissions in the second half of the year, which will be the industry's first RNA editing candidate. With 006, we aim to correct the mutant SERPINA1 transcript to generate healthy wild-type AAT protein in patients with a homozygous disease genotype. Over 95% of individuals with symptomatic AATD have the ZZ genotype, and there are approximately 200,000 ZZ patients in the U.S. and Europe. The ADC protein biomarker is directly measurable in a clinical trial. Importantly, we also have real world evidence with heterozygous or MZ genotype patients to guide our anticipated therapeutic threshold. These patients have a much lower risk of disease topology and our preclinical data suggests we are achieving the necessary threshold to shift ZZ patients towards MZ. We have also prioritized clinically validated markers in our preclinical emerging pipeline, and we look forward to sharing an update on our pipeline in the third quarter. We're well capitalized to execute on all these upcoming milestones with a cash runway into 2025, and plus, we have the potential to receive meaningful near-term milestone payments in 2023 and beyond, which are not included in our cash runway. We will now open up the call for questions. Operator?
Operator
operator[Operator Instructions] Our first question comes from Joon Lee with Truist Securities.
Mehdi Goudarzi
analystThis is Mahdi on for Joon. So our question is related to potential readthrough to WVE-003. Given the higher NfL level seen for 20-milligram single dose and 10-milligram 4x, so is that showing any sign of dose toxicity in any sense? Or how you explain this higher NfL levels? And our second question is given the results, given about 50% reduction in poly-GP that you observed, is that hypothesis for C9orf involvement in disease pathology still holding true?
Paul Bolno
executiveThank you for the questions. And I'll answer and refer to Anne-Marie as well. But as for your last question on threshold reduction, this is not the first C9 program in development looking at open reduction of the C9 of the poly-GP protein. We know that there was a prior study with Biogen looking at poly-GP reduction and saw a substantial reduction in poly-GP with no translation to clinical read-through. That study had been confounded with increase in white blood cell count protein and prone telemetry effects and substantial NfL elevations. So what was important in this program was, as Anne-Marie mentioned on the call, we had potent target engagement. We had infrequent administration quarterly. We had no white blood cell count, no protein. And the dosing regimen that we saw that in had an NfL level that looked equivalent within placebo. So as we think about the profile of this molecule, with examples of other molecules taking down poly-GP, I don't think we have good corroboration that poly-GP could court -- levels could correlate with the prediction of clinical outcomes. So it does reflect that we need to think about other biomarkers in this disease process. So I think we consequentially along with others in this field have looked as Teradata of the poly-GP hypothesis. That's the first question. To your point on the read-through to Huntington, we do have to fundamentally remember that these are different medicines. I think if we think about translation of preclinical data and the prediction as we go into clinical studies, I think what we can read through is that we can find therapeutic indexes for medicines that potently engage target into CNS without adversely impacting both NfL level patients. So we do believe that these data reinforce that we can safely target CNS with infrequent potent administration. And that's why those data will be important in terms of establishing that threshold. But it's not that we could just draw a straight line and say, well, maybe in some -- even small molecules you imagine different drugs have different engagements. So C9 is different than HD, 10-milligram may not be -- you can't draw a straight line and say, what we felt 20 here, what's that going to do there. There's not that level of read-through to NfL. But what is important is we could find good therapeutic impact to potently without this target and navigate through signals. Anne-Marie, is there anything else you want to add to that?
Anne-Marie Li-Kwai-Cheung
executiveYes, I just wanted to directly address the question. Is there any sign of dose toxicity? I think it's important to note that while we did see some NfL elevations in dosing regimens, there was no correlation between NfL and ALS-FRS-R outcomes. And in general, the safety profile was -- it was safe and horrible. The AEs were mostly related to disease progression and intrathecal administration. And we did not see any signs of CSF inflammation as measured by CSF protein and white blood cells. So we do not see signs of dose toxicity based on the safety profile.
Paul Bolno
executiveIt's a great point to see that correlation. One other question is that if we go back to the generation HD study that Roche ran, they shared their data following that very large study in Huntington's disease. Roche also saw no clinical correlation between their NfL levels and clinical progression. So I think as we think about it, we're obviously following it as a biomarker, that's why we reported that we found a dose that could navigate through it. But the data consistently within these diseases tends to be that NfL is not correlated with disease progression. But nonetheless, we'll continue to follow.
Operator
operatorWe have a question from Salim Syed from Mizuho.
Salim Syed
analystThanks so much for the straightforward on today's data, Paul, and my sympathies to the team. I guess a couple from us on HD. So regarding the data in the second half, just if you could benchmark for us the length of the duration of treatment for the multi-dose, that would be helpful. And if there's -- if you plan on disclosing any efficacy data given that length. And then secondly, will you disclose the data to Takeda prior to giving us the data? Or in other words, can we get an announcement regarding the Takeda collaboration, how they view simultaneously when you disclose it? Or would that come after the data disclosure in the second half?
Paul Bolno
executiveSure. I'll take the last question first and that's just how we interact with Takeda. Obviously, they're important partners. Oftentimes, as we're generating data and it comes forward, we do our analysis and we prepare it, and therefore, becomes material and we disclose it. And at the same time, we're introducing them to the data. So oftentimes, the proximity between our generating the data and analyzing it and making sure that when we have that data, we're fulsomely transparently sharing that data interact. In that case, we will share it, but I can't predict whether or not we would wait and hold back the announcement on -- so Takeda can fully analyze that. So we'll have to get closer. But obviously, they do see those data sets. As it relates to the data that we anticipate having in the duration, I think first and foremost, before we get to the multi-dose section is, remembering that we are -- that movement was still the single dose data, which is important as we think about the prior question on looking at dose,, the relevance to target engagement, understanding durability and obviously, since it's a Phase I/II study safety. So first and foremost will be looking at the profile of pharmacology with 003, which we need to understand independently. Obviously, these data today tell us that we can potently and durably gauge targets in CNF, but that would be the first step in that study. Based on when we have that data, as we said before, we would be able to include multi-dose data available. And as we get closer to that time point, we'll provide updates, obviously, on what level of duration and follow-up there will be in the multi-dose portion of the study.
Salim Syed
analystDo you plan to disclose efficacy data then on the single -- the additional single dose data?
Paul Bolno
executiveYes. I think historically, if you think about the data that we cut, I mean, obviously, single-dose data and clinical efficacies are hard readout after a single dose. But as we did with a single dose with C9, we do provide full updates on each data set when we put them. They're important in making our decisions on dose and dose frequency as they go forward. Even if one wouldn't anticipate seeing things, we'll obviously be looking and sharing those data. So yes, we'll share the data that we have at this time.
Salim Syed
analystOkay. One follow-up. yes, sorry, go ahead, please.
Anne-Marie Li-Kwai-Cheung
executiveAs you know, that study is a safety, tolerability and PD study, the good news is in HD, mutant Huntington is known to be a disease progression biomarker. And reduction in mutant Huntington in preclinical mouse models has been shown to impact HD like symptoms. So by disclosing knockdown in mutant Huntington and unsparing importantly of wild-type, we will be inherently making a meaningful comment on the ability of 003 to impact disease progression.
Salim Syed
analystWould the expectation though be to show efficacy on the single dose? Is that your internal expectation?
Anne-Marie Li-Kwai-Cheung
executiveI think we should have an expectation of seeing efficacy on a single dose because obviously, you're looking at UHDRS progression. You can't do that from a single time point. and the progression of disease is lower in ALS. So in a time frame like 6 months, you wouldn't expect to see meaningful progression in an untreated cohort in UHDRS. So that's why it's important that we do have a disease progression biomarker like mutant Huntington to really understand whether we're moving the needle.
Paul Bolno
executiveJust a follow-up on ambulatory. Actually, it's the opposite. HD is slower progressing. ALS is much faster. So [indiscernible]. So I think the challenge is to that point is it is a slower progressing disease. But I think if we go back and reflect on our data single dose from last year, we were in that 25% to 30% range and we were expanding the cohort. So I think if we think about those data, coupled with today's data on target engagement, coupled with what we're going to be looking at forward, as I said, we said last year, I think we're in the zone where one would need to be to ultimately see that translation. But we've got to run the data. We've got to run the multi-dose portion of the study as well to see that. But we will be measuring it to your question.
Operator
operatorOur next question comes from looks like Paul Matteis from Stifel.
Julian Pino
analystThis is Julian on for Paul. So I guess a key question here is, I guess, how do you reconcile the lack of neurofilament correlation you're setting with the ALS-FRS-R with the highest dose cohort performing statistically significantly worse than placebo? And then also, is there any color you can provide potentially on either the curves or sort of the elevations that you saw in NfL? Was there any sort of time component or dose relationship? Any detail there would be really helpful.
Paul Bolno
executiveI'll let Anne-Marie comment on the NfL, but particularly as we think about the correlation of the performance of the placebo to your question on what -- how do we translate that? And then ultimately, looking at natural history progression, we didn't see when we compare it to a natural history or to Biogen's placebo group for that matter, that these patients did worse than that for. I don't know, Anne-Marie, if you want to follow up on the clarification so that we could feel obviously helpful where that be.
Anne-Marie Li-Kwai-Cheung
executiveYes. I mean, I think what our data points to is that neurofilament is a more complex biomarker than perhaps is currently appreciated. And interestingly, in the Roche Temenos in generation HD-1 study when they did the post-top analysis looking at worse outcomes for Temenos since. They didn't see a strong correlation with NfL there either. So I mean we can only conclude what the data tells us, which is in the case of 004 and that is not implicated in patients having done worse than placebo in the more frequent dose cohort. I would say that we do plan to fully disclose and present our data at an upcoming medical conference. In terms you already had in the Q12 week 10-milligram dose, NfL was overlapping in confidence intervals with placebo. Where NfL elevations were not overlapping, we see an increase, which then tends to stabilize and decrease. So we'll be happy to provide more details of this when we present the data at the next regularly available conference.
Paul Bolno
executiveBut as I said, I think our data, as we compare it against other benchmarks, it does not appear to be worse to your early points. So we might have -- as we think about our performance of the placebo. So in that case, ALS-FRS was not related to NfL changes. As part of your context of texture at NfL levels, I think it's important to note that we are seeing substantial reductions in poly-GP. We were performing with NfL levels that were trending with placebo. So I think in these cases, too, if you want to think about NfL performance along these molecules, I think there is color and texture to that. And if we think about leveling off and plateauing and decreasing, got to be very careful not decreasing below baseline, we do see those textures as we follow these patients in dosing regimens for NfL. So I think what's important as we think about programs in CNS is there are ways to dose and deliver potent, durable oligonucleotide in CNS without conflating NfL to clinical outcomes. And I think our data set suggests that we achieve that with this molecule. So to be very clear, the profile, as we think about if one were to then move forward, the profile of pharmacology and pharmacodynamics around this 10-milligram monthly dosed oligonucleotide had a profile both on safety, tolerability, NfL and poly-GP reduction that based on a pharmacodynamic endpoint would meet criteria to move forward. I think what's important as we think about the clinical paradigm is the clinical data did suggest that there was a path forward to run that next study with this molecule.
Operator
operatorOur next question comes from Eun Yang with Jefferies.
Eun Yang
analystSo a couple of questions. The first one is on Huntington's disease. So when you provide more data in the second half of this year, would that be sufficient enough for you to make a go-no go decision? And then in the event that Takeda does not opt-in, would you continue to pursue the program? Second question is on the GSK partnership editing. So aside from AATD, GSK a few collaboration programs, they cannot advance. So is there a certain time line that they have to opt-in, otherwise, that their option expires?
Paul Bolno
executiveGreat. In terms of your first question, yes, I mean, I think data -- to have data sufficient to make decisions to move forward, yes, we do believe that these data would help support a decision to move forward, as Anne-Marie alluded to, recognizing that the biomarker itself can predict potential clinical benefits and recognizing that not only the biomarker and the toxic gain of function reduction of mutant protein, but remember, we saw last year, the first example of allele-specific silencing in patients with [indiscernible]. Restoration wild-type sparing, I think if we continue to see those data progress on durability and profile, those data would be supportive data to advancing the program. I think that's critical. That's why we're running the data that we are. I think your question on the follow-up to that is, well, where does Takeda fit into that discussion? I think, obviously, we think Takeda is a great partner for this program. However, we're going to let data and clinical -- potential for clinical outcomes drive that. So if the data is robust, if we see substantial -- I don't think it's one that was potential silencing. And as we know, some of the targets for the HD space based on modeling that were done by Roche at their early program with 20% to 30% reduction because of a long progression of the disease would be sufficient and having the fact that we had already achieved those levels of knockdown last year and now continuing that going forward. And based on the data generated even today in C9, I think if the data is strong, then we'll evaluate that program individually, whether Takeda opt-in as the partner or whether we take it with others. So I think we're going to let the data for the program speak for itself and then make decisions based on those data. To your question as to GSK, and thank you for asking. I mean we're excited that relationship, as we said on our last earnings call, is off to a great start. We're working on a number of programs together, spanning a whole sphere of the multimodal approaches, both in RNA editing, but also RNAi silencing with GalNAc. And so as we think about those programs, we're continuing to work on interesting programs that open up the potential for us to access robust insights into new genetics. And as we discussed today, thinking about clinically validated biomarkers as we're progressing targets. So they do have up to 8 programs. They can select importantly 2, we have 3 programs that we can select from that collaboration to Wave's portfolio. There is a research term in this collaboration, that's the initial 4 years, and that's the term by with which they would be working on selecting. There's always an opportunity for them to extend that time period and that comes with further subsequent investments. But collaborations off to a great start. They've been phenomenal partners in terms of engaging around targets and discussions and collaborations, not just in the work that we're doing here, but on alpha-1 antitrypsin, given their global experience in metabolic disease and respiratory diseases. And so we're excited about the potential for that collaboration. And as we said on the call, that collaboration also has the potential for not only milestones in 2023, but also extending beyond that. In addition, all of the research we're doing with them comes with fully funded R&D. So that continues to invest in a real capability set that we have in advancing these programs.
Operator
operatorWe have a question from Luca Issi from RBC Capital.
Luca Issi
analystMaybe if I may, on safety. I believe there was one patient in the sad portion of the trial at 60-milligram who had cerebellar syndrome with delirium. I believe was deemed drug related. One, can you just maybe give us an update on how that patient is doing today? Two, maybe can you expand why that AE was drug-related? And three, can you maybe comment whether that patient had elevated NfL or not? And then maybe separately, since you mentioned, can you just expand on what's the plan there for better?
Paul Bolno
executiveWhat was the last part, the planned expand? I lost kind of the last part...
Luca Issi
analystI think you mentioned -- and apologies if I missed it, but I think you mentioned that there are plans for Becker disease. Is that correct? What's the plan there?
Paul Bolno
executiveYes, I will take the last question first because that's a very simple question, which is -- and that was a very important case. So our plan is okay to continue around exon skipping in DMD for exon skipping [ amenable boy ]. The Becker phenotype was what we were referring to. So I think if we think about the clinical validation for biomarkers and support for moving them forward, we were using -- it's a very important case that there is a factor phenotype with a truncated protein that is functional. That data didn't exist for C9orf72 is related to poly-GP. So it was more a function of thinking about biomarker-driven approaches. And then ultimately, is supportive of the data for the DMD patients. It's not only we're referencing but others. So that's a challenge. As for the patients that you were referring to, and I'll let Anne-Marie refer to it because that was -- we made that disclosure back in April 2022 when we shared the original single dose data and there were a lot of confounding events around that patient. I'll let Anne-Marie comment.
Anne-Marie Li-Kwai-Cheung
executiveThanks, Paul. So that's right. The -- so we always take the assessment of the investigator as the assessment of whether it's related or not, and the investigator did assess it is related and so that's what we report. We will be providing updates on all the safety information, including the SAE in the upcoming medical meeting.
Paul Bolno
executiveI think it's safe to say, as Anne-Marie referred to, a bunch of confounding events despite its report, which is why we disclosed it. And again, single doses at the safety of last year.
Luca Issi
analystIf I may, did the patient had elevated NfL or any thought there?
Anne-Marie Li-Kwai-Cheung
executiveSorry, go ahead, Paul.
Paul Bolno
executiveYes. No, you Anne-Marie. Sorry.
Anne-Marie Li-Kwai-Cheung
executiveI'm not aware of the individual NfL measurement for that patient, but we didn't assess that is relative to the assessment of the case. And actually, you've already heard overall NfL was not associated with worsening ANS outcomes.
Operator
operatorOur next question comes from Mani Foroohar with SVB Securities.
Mani Foroohar
analystYou mentioned obvious discontinuing this trigger assets. But I just want to clarify, do you intend to continue pursuing STDALS in this specific patient population with development of a different biomarker or pursuing a different metric? Or do you think there just isn't a good surrogate that you guys should be using in this case and are sort of putting this indication a little bit on the back burner until the basic science catches up with clinical and translational development? I'll stop there, and then I have a follow-up question.
Paul Bolno
executiveYes. Thank you for the question, Mani. I think we've been very comfortable in C9orf72 to discontinue our internal work on this target. I think to your point, the complexity of trying to drive a biomarker is a requirement. However, there are teams of scientists working. We know a number of them that have approached with different approaches. And so we're happy as we said, to share our data and our insights and as I know others are in the field to help advance the science around new biomarkers, but in terms of an internal research effort for C9orf72 and ALS, we view that we've run the experiment that with the data that's available to date to develop a program in that indication. As we think about other opportunities, we do know as we think about editing and other approaches, more broadly, I would never say that we're out of ALS or FTD for the patients who are there. But I think our learning as we're seeing with DMD as we're seeing with alpha-1 antitrypsin is better corroboration between biomarkers and clinical severity that then dictate that if you do have a potent durable effect on the biomarker that there's a better likelihood of translation. Mani, do you have the second question to that?
Mani Foroohar
analystYes, I do. Great. I mean this is just the nature of science. Sometimes you just have to, as you said, do the experiments to confirm for this proof of hypothesis. Are there any process learnings here in development and lessons that you plan to apply into your future biomarker selection? Other indications, other nuances in terms of how you think about evaluating knockdown translation to biomarker, biomarker translation to clinical development, et cetera, that we should think of as applying elsewhere in the platform potentially offering lessons that can increase your probability of success on executing elsewhere?
Paul Bolno
executiveYes. I mean, I think those processes were already underway, and it's a great question, Mani, because I think if you look at the pipeline evolution, that's where it moved to as this was one of the early programs. With C9orf72, we didn't have a -- we had a PD model to look at reduction, but there wasn't a phenotype translation. So if we think about evolution with DMD and moving from MDX in the [indiscernible] phenotype, our work was all shifted to double knockout mice that have us confer a survival disadvantage by having dystrophin removed. And, therefore, by inserting dystrophin back through exon skipping, we can look at an impact on the phenotype beyond just measuring a pharmacodynamic. If we think about alpha-1 antitrypsin, we're generating a corrective protein and we ran functional assays on that protein to demonstrate the corrective nature in the model of restoring that correction and looking at assays of activity. And so in HD, we could look at model systems that have been run and corrupt by even others in corroborating Huntington levels with clinical progression and severity. So I do think in a very deliberate way, as you point out, we've really emphasized now the prediction, not just the pharmacodynamic endpoints on biomarkers, but really making sure that we can look and assess phenotypes in those models as well to better predict clinical translation. So again, as we think about HD, DMD, alpha-1 antitrypsin, these all have that ability. I think with C9, we do see early on questions of being able to look at models and look at those pharmacodynamic endpoints of potent reduction in your biomarker, durability of that biomarker safety. And actually, these data did show, again, as we've now had multiple PN molecules in the clinic, demonstrating our preclinical asset data is translating. When we see durable knockdown and potent knockdown in our models, we're seeing that in our human patients and our modeling is good with that. Safety, as we screen and kind of get better criteria of predicting molecules they're going to have differentiated profile. So again, not seeing white blood cell count protein navigating NfL as we did with our molecule, I think we're seeing those translate. But to your last piece, it really is about us now translating beyond potency, durability and safety into pharmacodynamic -- beyond pharmacodynamic endpoints into measurements of potential clinical benefit. And I think that's where the phenotypes come in. And that's really the model systems that we have in our existing other programs, but great question.
Operator
operatorThank you. I would now like to turn the conference back to Paul Bolno for closing remarks.
Paul Bolno
executiveThank you, and thank you all for listening and for your questions this morning. I would especially like to thank all of the ALS and FTD patients, their families and especially those that participated in our FOCUS-C9 study and a very big thank you to the Wave team for your perseverance and dedication. Have a nice day.
Operator
operatorThis concludes today's conference call. Thank you for participating. You may now disconnect.
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