Combining Response and Toxicity Data to Implement Project Optimus

In this JCO Article Insights episode, Subodh Selukar interviews author Dr. Robert Maki on "Combining Response and Toxicity Data to Implement Project Optimus" by Maki, et al published in the Journal of Clinical Oncology September 11, 2024.

TRANSCRIPT

Subodh Selukar: Welcome to this episode of JCO Article Insights. This is Subodh Selukar, JCO's editorial fellow. Today, I am interviewing Dr. Robert Maki on his recent editorial, “Combining Response and Toxicity Data to Implement Project Optimus.”

At the time of this recording, our guest has disclosures that are available in the manuscript and will be linked in the transcript.

Dr. Maki, welcome to our podcast.

Dr. Robert Maki: Hi, Subodh. It's a pleasure to be able to take part.

Subodh Selukar: Yeah, thank you.

So, to start us off, would you give an overview of your article?

Dr. Robert Maki: Yes. Well, it's not my article, but it's just an editorial which is a commentary on an article by authors Cheng and Associates. It's called, “Exposure-Response-Based Multiattribute Clinical Utility Score Framework to Facilitate Optimal Dose Selection for Oncology Drugs.” That's a very technical title and so forth, and yet it's a JCO article because we think that it makes an important point that in oncological trials, we talk a lot about primary endpoints, oftentimes of overall survival or progression free survival, sometimes even just response rates, but most of the time, we don't take into account the toxicity of an agent. So, you can imagine that if a drug is relatively nontoxic, then what you see is what you get. Progression free survival could be associated with what is called some sort of so-called clinical benefit. However, if a drug is really toxic and you're just laid up on the couch all day or bed bound, or need transfusions three days a week, where is that really beneficial for the patient? But, by the same token, there's no quality of life without life itself. You have to have some sort of evidence that someone is going to be around for a longer period of time as an indication of benefit. So, these are ideas that have been played out to some degree for the better part of a quarter of a century.

There's a biostatistician at MD Anderson named Peter Thall, who's one of the first people to think about this idea of combining toxicity data and response data as some sort of a combination primary endpoint for a trial. And where this comes into play for Project Optimus, this FDA initiative to come up with not just necessarily one dose or one dose and schedule, but rather a range or multiple doses and schedules for a drug based on the toxicity that's seen, is that this new paper by Dr. Cheng and colleagues provides one mechanism for doing this, for combining not just traditional clinical outcomes data, but also toxicity data.

Subodh Selukar: So, you mentioned Project Optimus is an important component of all of this. So, can you tell a little bit about what Project Optimus is and maybe a little bit potentially about how Project Optimus has affected you so far?

Dr. Robert Maki: I'd say it's having an effect mostly in the earlier phases of drug development. I'm not certain, but I think it was an outgrowth of some of the toxicity that was seen in some of the studies that were done over the course of the last 10 to 15 years with kinase-targeted drugs. The overall goal from the FDA Project Optimus was to work with companies, with academia, groups like ASCO and regulatory authorities, as well as patients to try and come up with dosing for everyone basically based on patient characteristics that they're focusing not just on those outcomes, such as progression, pre survival, overall survival, but also looking for quali