Walter Klemp
Analyst · Maxim Group. Your line is now live
Yes, that's absolutely right, Paul. Remember, most Phase 3 approval trials leave investors and prospective big pharma partners in the dark for years until the data can finally be unblinded. Our ability to unblind early because of this adaptive design means we won't have to wonder whether our Phase 3 trial is tracking with endpoint expectations. And by the way, we're still looking at additional ways to improve early visibility in this trial. So stay tuned for additional updates on this. Now, this becomes even more meaningful when you look at the endpoint we need to hit. Look, let's face it, biotech is a high risk business, which is why the potential upside returns can be astronomical. In oncology, it's estimated that only about 40% of Phase -- 45% of Phase 3 trials will succeed. And the vast majority of those that fail do so because of a lack of efficacy. That's why it's so critical for investors to understand just how much we have de risked our Phase 3 trial. The FDA is asking us to compare to one of the few standards of care that is approved for use in second line patients. It's called high dose Ara-C or HiDAC. Now this is great news for us, because the efficacy of HiDAC in this class of patients is well documented and very consistent with a CR rate of around 17% to 18%. That means the performance of AnnAraC, that's what we call the combination of Annamycin plus HiDAC is almost three times greater than HiDAC alone. As a comparison, one of our key opinion leaders in the AML space recently commented that the new drug approvals in AML are justified if the new drug is at least 30% better than the standard of care comparison. Well, by this standard we are over 280% better. But there is likely less risk than even this massive disparity in performance suggests. That's because of how HiDAC was measured in these prior large studies. In the Mirros study you see on the left, patients were allowed two cycles of treatment in order to reach a CR. And in the Classic 1 trial they were allowed even more, up to 120 days of treatment before reaching their endpoint. In contrast, our CRs were accomplished in less than 49 days with just one cycle of treatment. What this means is that, the performance delta between test and control could be even greater than we're predicting. So now let's look at the potential impact this endpoint could have on the timing of approval. And let me caveat, this is not the plan, it's just a look at some potential upside. We had an investor recently challenge us on our trial design. Now, he had a decent understanding of statistics and said, if your performance is expected to be so much better than HiDAC, why do you have 330 patients in the total trial? Shouldn't you be able to achieve statistical significance with closer to 100 patients? The answer is that this is what Big Pharma has asked us to do. In our discussions with prospective partners, we have heard more than once that these players have been burned by buying into a Phase 3 trial only to end up having the trial miss its endpoint because they didn't have sufficient subjects to power the trial because the delta between test and control ended up being closer than management estimated. In essence, small biotech teams facing tight budgets and timelines get lured into overly optimistic assumptions that result in underpowered studies. Big Pharma would much rather buy into a longer, more expensive study that they believe has a higher likelihood of success. And that's what we tried to do here. But what happens if our numbers play out closer to what history suggests? What if at the unblinding of 90 patients, we're really outperforming HiDAC by 280%? Well, under those circumstances, assuming drug safety is also in line with our experience to date, it's very likely that our independent data monitoring committee could conclude that continuation of the control arm of the trial would be considered unethical. And at that point we would likely request a Type A meeting with the FDA to discuss converting Part B of our trial into a smaller single arm study designed to complete the safety analysis and satisfy DEI requirements. Essentially, it could take a year or more off of the approval timeline and virtually eliminate any remaining efficacy related approval risk. Now, in no way are we asking investors to plan on this, but we want to make sure you understand how dramatic the upside could be here. What we are saying is, if you want something to worry about regarding Moleculin it shouldn't be the traditional efficacy risk associated with most Phase 3 trials. Our biggest focus right now needs to be on recruitment, because the pace of recruitment is going to drive our data milestones. We are in a race to open sites and start recruiting patients just as quickly as we can to ensure that we get to the interim data readouts that everybody wants to see. To date, we have 60 sites interested and 17 more sites we're targeting. And you can see by this map that this is happening on a global scale. But Paul and I are committed to ensuring these sites are engaged and productive. To that end, we are actively physically visiting any of these sites that we think could be big producers to make sure their facilities and systems are up to the task and that the principal investigators understand the science and the protocol and are truly bought into the importance of this trial. It takes a lot of effort to meet face to face with every one of these investigators, but we believe it will pay off in terms of [Multiple Speakers] the data readouts.