Andrew de Guttadauro
Analyst
Yes. I mean, I think, obviously, the most obvious group, the most immediate opportunity that we’ve been targeting our companies with approved checkpoint PD-1, PD-L1 products just because that’s the most immediate opportunity. Having said that, we do see a second ring of opportunity within the – that just the PD-1, PD-L1 space. I’ll get to the CAR-Ts, other potential I-Os in a minute. But the other major group within that, that PD-1, PD-L1 milieu is all the companies that are in oncology, and may not care what checkpoint with – our product is used with. They see it more as a backbone play where they say, look, dealers’ choice by the prescribing oncologists, which PD-1, PD-L1 works. If the data comes in, showing that we are agnostic to the checkpoint, which I think is likely, given the studies we’re working on. If we’re going to work with one, we’re probably going to work with all in that particular tumor target. If we can show, we work on a couple of tumor targets pressed, obviously, being the lead. But as Matt mentioned, there’s others we’re examining and with different checkpoints, then all of a sudden, the checkpoint backbone opportunity grows because all of a sudden, you’re talking about what’s now a $16 billion in growing checkpoint market. And if you can show that we can do improve opportunities there, be it raising PD-L1 levels so that more patients are eligible for the checkpoints or working in particular areas where the check went on its own wouldn’t work. HR-positive, HER2 negative is an example of that. Then, obviously, for a lot of these companies, if they see this as a high-priced specialty product that is added and – in considerable – even in 10% of patients within this class of drugs, it’s a huge multibillion-dollar opportunity. Beyond that, as Matt already alluded to, CAR-Ts are potential opportunity based on our mechanism of action. Potentially other I-Os as well, just that we haven’t – that we’ve looked at, CDK4/6 is probably the one in PARP inhibitors, where we have promising preclinical data. So you can see it’s really a chance to be a bit of that Swiss Army Knife, if some of the data matures in the way we’re hoping.