Robert Roscigno
Analyst · Vamil Divan with Guggenheim Securities
Thank you, Caryn. I will now spend the next few minutes walking through the PROSERA CT FRI substudy and what it adds to our understanding of seralutinib's effect in PAH. So let's focus on what CT FRI adds to the PROSERA story. Clinical endpoints can tell us whether patients improved. And CT FRI helps us to understand the anatomical basis for that improvement. These analyses were performed with Fluidda's functional respiratory imaging or FRI platform, which allows us to quantify anatomical changes in the pulmonary vasculature and surrounding lung parenchyma. That is especially important for seralutinib because it is not simply a vasodilator. Its mechanism is designed to address remodeling biology in the lung. In TORREY, the FRI substudy gave us an early hint that seralutinib could drive arterial reverse remodeling. The PROSERA substudy was designed to go much deeper. It was a much larger prespecified exploratory substudy designed to test whether the TORREY signal held up at scale and whether the effect extended beyond the arterial compartment. I want to acknowledge that this is the largest and most comprehensive CT FRI data set ever generated from a controlled therapeutic trial in pulmonary hypertension. A total of 162 patients enrolled in the substudy and 125 patients had paired baseline and week 24 CT scans available for analysis. These effects were observed on top of highly intensive background therapy, including patients receiving double, triple and quadruple PAH therapy. The substudy was balanced across arms and representative of the broader PROSERA intent-to-treat or ITT population on demographics, hemodynamics and risk profile. The clinical endpoints in the substudy were also consistent with the broader ITT population, including improvement in 6-minute walk distance, NT-proBNP and REVEAL Lite 2. I'll walk you through what we found and why we think it matters. This slide gives a high-level result. Seralutinib showed statistically significant treatment effects across arterial, venous and fibrosis-like parenchymal parameters. The CT FRI signal was not confined to one vascular compartment. The breadth and internal consistency of these effects go beyond the arterial-specific signal we first saw in TORREY. Importantly, the imaging parameters correlated more tightly with clinical endpoints in PROSERA, including 6-minute walk distance, NT-proBNP and REVEAL Lite 2. The overall pattern is biologically coherent and consistent with seralutinib's inhibition of PDGFR, CSF1R and c-KIT. In other words, the findings form a coherent anatomical pattern that maps back to seralutinib's mechanism of action. So I want to point out the patient image on the right side of this slide is illustrative, but it gives a first visual sense of what we mean by reverse remodeling. At a high level, you want to see more red appear than blue. We'll come back to this case a little later and go through it in more detail. So let's first discuss the pulmonary vasculature. To interpret the CT FRI findings, it helps to start with the biology. PAH affects an integrated vascular and parenchymal system. PAH has historically been treated as an arterial disease, but it is not only an arterial disease. The pathology involves arteries, the capillary bed, venous filling, inflammation and parenchymal remodeling around the vascular bed. Those compartments are connected. If the arteries are obstructed, the capillaries are underperfused, transpulmonary flow is reduced and the veins become underfilled, inflammation and fibrosis add to the problem throughout the system. So if a therapy is truly modifying disease biology upstream, you would expect downstream effects to move in a coherent direction as well. If you look at the right-hand side of this slide, you can see each pulmonary vascular compartment, its structure and function, how it is affected by disease in addition to calling out what CT can actually detect. So this next slide maps each target of seralutinib, PDGFR, CSF1R, c-KIT and its anti-proliferative, anti-inflammatory and anti-fibrotic effects to each compartment of the pulmonary vasculature where we would expect it to act and to the imaging signal we observed. Starting in the pulmonary arteries, PDGFR inhibition maps to the arterial reverse remodeling signal, including reduced large atrial blood volume proportion. Next, in the parenchyma, PDGFR, CSF1R and c-KIT inhibition map to reduced fibrosis-like parenchymal ProACT features. The parenchymal signal is important because it points to potential anti-fibrotic effects beyond vasodilation. Finally, in the veins, we see increased venous volume and branching, which we view as an integrated downstream readout of improved upstream arterial parenchymal and capillary bed biology. The key point is that each compartment moves in a direction that is consistent with seralutinib's mechanism of action. With that, I'll walk through each compartment individually. So PROSERA reproduced and extended the reverse remodeling signal we first saw in the TORREY study. In the figure on the right, seralutinib significantly reduced BV10A percentage, which measures large arterial blood volume as a proportion of total blood volume. That is consistent with proximal arterial decompression and blood volume redistribution away from larger remodeled proximal vessels towards smaller peripheral arteries. This is the compartment where we would expect PDGFR inhibition to show up most clearly. BV10A percentage also demonstrated among the strongest clinical correlations of any FRI parameter. Towards the bottom of the slide, we show these clinical correlations. Importantly, changes in this arterial parameter correlated with improvements in 6-minute walk distance, NT-proBNP, REVEAL Lite 2 and ESC/ERS risk. So this arterial signal is not only statistically significant, it is also clinically connected and consistent with the signal we first observed in the TORREY substudy. Next, we look at the parenchymal signal. This may be one of the more important new findings in this data set. In the figure on the right, seralutinib significantly reduced fibrosis-like parenchymal volume and also normalized fibrosis-like parenchymal volume, while placebo progressed. To our knowledge, this is the first demonstration of a statistically significant reduction in fibrosis-like parenchymal features in a controlled PAH trial. These measures are CT-derived imaging metrics. They are not histology, but they quantify voxel-level features characteristic of fibrotic tissue using a deep learning algorithm trained on confirmed IPF patient data sets analogous to high attenuation area or HAA approaches reported by Insmed. The reductions were consistent across subgroups, including non-CTD patients, which supports a broader anti-inflammatory and antifibrotic effect rather than a CTD-specific phenomenon. This signal is consistent with seralutinib's PDGFR, CSF1R and c-KIT biology and supports a potential effect on inflammatory and fibrotic remodeling distinct from vasodilation. Clinical correlations are noted at the bottom of the slide. One important point is that CT likely underestimates the full remodeling burden in PAH because much of this relevant perivascular and capillary bed biology occurs below the resolution of the CT. So the detectable reduction in fibrosis like parenchymal features may capture only part of the total remodeling effect. The same fibrotic and inflammatory pathobiology is also relevant to PH-ILD and other fibrotic lung diseases, which supports the potential relevance of seralutinib beyond PAH. Finally, the venous compartment then gives us an integrated view of how these upstream effects may translate into improved blood flow. Let's look at seralutinib's effects on the pulmonary veins. In the figure on the right, seralutinib significantly increased total venous blood volume while placebo decreased. Clinical correlations are noted on the bottom of the slide. We also saw consistent increases across venous vessel sizes and vascular branching, including fractal dimension. To our knowledge, this is the first demonstration of venous vascular recovery in a controlled PAH trial. Why does that matter? In PAH, venous underfilling reflects reduced transpulmonary flow. It is not primarily a venous disease. If upstream arterial obstruction, parenchymal remodeling and capillary bed impairment begin to improve, the downstream consequence should be improved venous filling. This is why we view the venous signal as more than another isolated parameter. It may be an integrated readout of the broader treatment effect upstream. The increase in venous branching is also important because it suggests improved vascular complexity, not simply passive volume redistribution. The next question is whether these anatomical changes relate to clinical trajectory. In the PROSERA substudy, the correlation support that connection. The tables at the bottom of this slide show a baseline arterial, venous and vascular complexity parameters correlated with hemodynamic and clinical measures, including pulmonary vascular resistance, mean pulmonary arterial pressure, cardiac output, NT-proBNP and risk scores. Changes in FRI parameters also correlated with improvements in 6-minute walk distance, NT-proBNP and risk scores. These relationships were not detectable in the smaller TORREY substudy. In PROSERA, the larger sample size and updated algorithm allowed us to see a stronger link between anatomical imaging findings and clinical outcomes. That gives us confidence that these are not just imaging observations. They are biologically and clinically relevant measures that help connect structural remodeling to clinical benefit. So this table pulls the compartment level findings together all in one place. In the arterial category, BV10A percentage decreased, consistent with reduced large artery blood volume proportion and proximal decompression. In the parenchymal category, both fibrosis-like parenchymal volume and normalized fibrosis-like parenchymal volume decreased. In the venous category, total venous blood volume, small venous blood volume, midsized venous blood volume and venous fractal dimension all increased. The key point here is not any single parameter in isolation. It's the consistency of the signal across arterial, parenchymal and venous measures. This pattern is what we would expect from seralutinib's mechanism, arterial reverse remodeling, reduced fibrosis-like parenchymal features and improved downstream venous filling and vascular branching. More broadly, the pattern is directionally supportive across the data set, including parameters that did not individually reach statistical significance. Again, I want to remind you this was a prespecified exploratory substudy. The p-values are nominal and unadjusted for multiplicity. So to make the concept more tangible, this slide shows 2 patient examples. These are individual patients, not the trial result, and they are not representative of the full study population. Both patients were on triple stable background therapy and were functional Class III at baseline. In the placebo case on the left, the patient remained on intensive background therapy, but the vasculature worsened over time. Total venous volume decreased, proximal arterial volume increased and 6-minute walk distance stayed essentially flat. Let's compare this to the seralutinib case on the right. I showed this image to you earlier. Here, we see the visual pattern we mean by reverse remodeling. Large arterial volume decreased, small arterial volume increased, total venous volume increased, 6-minute walk distance improved and NT-proBNP declined. The important point is that the visual pattern lines up with the population level data, arterial decompression, venous filling and clinical improvement, all moving together. This next example focuses specifically on the fibrosis-like parenchymal signal. The images on the left are from a single seralutinib-treated patient on double background therapy who had a visible reduction in fibrosis-like CT features from baseline to week 24. The patient also had improvement in 6-minute walk distance and NT-proBNP. The important point is not the individual patient alone. It is that the visual change is directionally consistent with the broader parenchymal treatment effect seen in the substudy. So fibrosis volume was quantified using FibroNet, a deep learning algorithm trained on confirmed IPF patient data and analogous to high attenuation area or HAA approaches used in ILD imaging. Again, CT only detects changes above a certain resolution. It likely understates the full burden of remodeling, particularly around the capillary bed. This supports the potential relevance of seralutinib in diseases where vascular remodeling, inflammation and fibrosis overlap, including PH-ILD and other fibrotic lung diseases. So to summarize, if we step back, PAH is a multi-compartment disease and seralutinib appears to affect these compartments in a coherent way even on top of intensive background therapy. The importance of these data is the consistency of the signal across anatomy, mechanism and clinical outcomes. Multi-compartment, vascular remodeling effects of this breadth have not been shown by traditional vasodilator therapies, which suggest added structural benefit rather than something redundant with existing vasodilator therapy. The arterial remodeling signal we first saw in the TORREY substudy is now reproduced and extended in a much larger Phase III substudy and the parenchyma seralutinib-reduced fibrosis-like features supporting potential anti-fibrotic activity that is distinct from vasodilation. In the vein, seralutinib showed what we believe is the first controlled trial evidence of venous vascular recovery, including gains in venous blood volume and branching. Taken together, these imaging signals point to a mechanism-based effect on disease biology consistent with PDGFR, CSF1R and c-KIT pathway inhibition. The clinical correlations are also important. These structural imaging findings correlated with improvements in 6-minute walk distance, NT-proBNP and Reveal Lite 2. That links anatomical remodeling to clinical benefit. These data strengthened the cumulative weight of evidence for seralutinib across the program, including the placebo-controlled Phase Ib, the Phase II TORREY study and the Phase III PROSERA study. Taken together, we believe the CT FRI data provide important anatomical support for the clinical benefit observed in PROSERA and reinforce seralutinib's differentiated profile in PAH. With that, I'll turn the call back over to Bryan to discuss our financial position and recent capital structure actions.