Host Davide Soldato and guest Dr. John K. Lin discuss the JCO article "Racial and Ethnic Disparities Along the Treatment Cascade Among Medicare Fee-For-Service Beneficiaries with Metastatic Breast, Colorectal, Lung, and Prostate Cancer."

TRANSCRIPT

The guest on this podcast episode has no disclosures to declare.

Dr. Davide Soldato: Hello, and welcome to JCO After Hours, the podcast where we sit down with authors of the latest articles published in the Journal of Clinical Oncology. I'm your host, Dr. Davide Soldato, a medical oncologist at Ospedale San Martino in Genoa, Italy.

Today, we are joined by Dr. Lin, assistant professor in the Department of Health Services Research at the University of Texas MD Anderson Cancer Center. Dr. Lin and I will be discussing the article titled, "Racial and Ethnic Disparities Along the Treatment Cascade Among  Medicare Fee-for-Service Beneficiaries With Metastatic Breast, Colorectal, Lung, and Prostate Cancer."

Thank you for speaking with us, Dr. Lin.

Dr. Lin: Thank you so much for having me. I appreciate it.

Dr. Davide Soldato: So, just to start, to frame a little bit the study, I just wanted to ask you what prompted you and your team to look specifically at this question - so, racial and ethnic disparities within this specific population? And related to this question, I just wanted to ask how this work is different or builds on previous work that has been done on this research topic.

Dr. Lin: Yeah, absolutely. Part of the impetus for this study was the observation that despite people who are black or Hispanic having equivalent health insurance status - they all have  Medicare Fee-for-Service - we've known that treatment and survival differences and disparities have persisted over time for patients with metastatic breast, colorectal, lung, and prostate cancer. And so, the question that we had was, "Why is this happening, and what can we do about it?"

One of the reasons why eliminating racial and ethnic disparities in survival among Medicare beneficiaries with metastatic cancer has been elusive is because these disparities are occurring along a lot of dimensions. Whether or not it's because the patient presented late and has very extensive metastatic cancer; whether or not the patient has had a difficult time even seeing an oncologist; whether or not the patient has had a difficult time starting on any systemic therapy; or maybe it's because the patient has had a difficult time getting guideline-concordant systemic therapy because, more recently, these treatments have become so expensive. Disparities, we know, are occurring along all of these different facets and areas of the treatment cascade. Understanding which one of these is the most important is the key to helping us alleviate these disparities. And so, one of our goals was to evaluate disparities along the entire treatment cascade to try to identify which disparities are most important.

Dr. Davide Soldato: Thank you very much. That was very clear. So, basically, one of the most important parts of the research that you have performed is really focusing on the entire treatment cascade. So, basically, starting from the moment of diagnosis up to the moment where there was the first line of treatment, if this line of treatment was given to the patient.

So, I was wondering a little bit, because for this type of analysis, you used the SEER-Medicare linked database. So, can you tell us a little bit which was the period of time that you selected for the analysis? Why do you think that that was the most appropriate time to look at this specific question? And whether you feel like there is any potential limitation in using this type of database and how you handled this type of limitations?

Dr. Lin: Yeah, absolutely. It's a great question. And I want to back up a little bit because I want to talk about the entire treatment cascade because I think that this is really important for our research and for future research. We weren't the first people to look at along the treatment cascade for a disease. Actually, this idea of looking along the treatment cascade was pioneered by HIV researchers and has been used for over a decade by people who study HIV. And there are a lot of parallels between HIV and cancer. One of them is that with HIV, there are so many areas along that entire treatment cascade that have to go right for somebody's treatment to go well. Patients have to be diagnosed early, they have to be given the right type of antiretrovirals, they have to be adherent to those antiretrovirals. And if you have a breakdown in any one of those areas, you're going to have disparities in care for these HIV patients.

And so, HIV researchers have known this for a long time, and this has been a big cornerstone in the success of getting people with HIV the treatment that they need. And I think that this has a lot of parallels with cancer as well. And so, I am hoping that this study can serve as a model for future research to look along the entire treatment cascade for cancer because cancer is, similarly, one of these areas that requires multidisciplinary, complex medical care. And understanding where it is breaking down, I think, is crucial to us figuring out how we can reduce disparities.

But for your question about the SEER-Medicare linked database, so we looked between 2016 and 2019. That was the most recent data that was available to us. And one of the reasons why we were excited to look at this is because there were some new treatments that were just released and FDA-approved around 2018, which we were able to study. And this included immunotherapy for non–small cell lung cancer, and then it also included androgen receptor pathway inhibitors, the second-generation ones, for prostate cancer. And the reason why this is important is because for some time, as we have developed these new therapies, there's been a lot of concern that there have been disparities in access to these novel therapies because of how expensive they are, particularly for the Medicare population. And so one of the reasons why we looked specifically at this time period was to understand whether or not, in more recent years, these novel therapies, people are having increasing disparities in them and whether or not increasing disparities in these more expensive, newer therapies is contributing to disparities in mortality. That