Evolving endpoints
Selecting the right endpoint is crucial, Othus said.
“It’s important to define endpoints well because the endpoints are what the conclusion of the trial is based on,” she said. “What do you measure? When do you measure? These are questions that researchers and clinicians struggle with.”
But just as cancer patients’ prognosis has changed over time due to new, better therapies, endpoints are changing, too.
“They’ve evolved over time,” Othus said. “Patients are living longer and longer. At the same time, we have even more drugs we want to study and new technologies that let us measure and evaluate cancer in different and potentially better ways. If we have to wait and see how long people live and they’re living longer, it takes longer and longer to get the answer.”
Case in point: when Othus first joined Fred Hutch in 2009, she worked in melanoma research, where there were few effective treatments.
“Back then, life expectancy was months in our trials for patients with advanced melanoma,” she said. “If I saw anybody alive after a year, I knew [that therapy] was going to be a big deal. Because life expectancy was so short, it didn’t take that long to see that people would live longer.”
Now, melanoma patients are living decades due to improved treatments such as checkpoint inhibitors, “so a trial that would have taken less than a year in 2009 will take five years because people are living longer,” Othus said.
Longer survival is one of the main reasons researchers have devoted a great deal of time and energy trying to find better — read shorter-term — endpoints.
“Overall survival as an endpoint is not feasible or helpful if it’s going to take us 20 years,” Othus said. “Nobody’s going to care about the results of a trial in 20 years. We want to move on and test the next good thing to keep patients going.”
But some health insurance companies require complete or “mature” overall survival data before they can justify reimbursement.
An international mix of clinicians, advocates and health economists discussed this impasse in a 2021 paper published in Cancer Management & Research.
“If payers wait for long-term OS data, patients have to wait to access the new treatment, even when regulators have decided that it is safe and effective,” they wrote. “As a result, some patients may die while waiting ... [but] if payers do not have long-term OS data, they risk paying for a treatment that is not as effective as they had hoped.”
Fortunately, this doesn’t necessarily apply when the FDA is involved.
“One of the big things with the myeloma decision is that if the FDA has said MRD, measurable residual disease, is good enough, then payers have to follow the FDA rules,” Othus said. “If the FDA says we’re going to issue accelerated approval for a new drug combination based on this, then payers generally have to pay for it.”
Another endpoint issue involves RECIST, or Response Evaluation Criteria in Solid Tumors, the standardized method of determining a patient's response to treatment, based upon changes in tumor size as determined by CT scans and/or MRI.
What if the scans don’t pick up the cancer, which can happen with prostate, lobular breast and other cancers that tend to grow in a diffuse pattern? If you can't see it, you can't measure it.
Modified criteria, say advocates and researchers, are needed for cancers that “resist RECIST.”