Biomarker test results may help guide diffuse large B-cell lymphoma (DLBCL) treatment options. Expert Dr. Loretta Nastoupil explains how biomarkers are currently used in determining an optimal treatment approach and how research efforts could help create more precise treatments.
Dr. Loretta Nastoupil is Director of the Lymphoma Outcomes Database in the Department of Lymphoma/Myeloma at The University of Texas MD Anderson Cancer Center. Learn more about Dr. Nastoupil, here.
What about biomarker testing results?
So, in a perfect world, we would be able to take a patient’s specific tumor, sequence it, and provide a recipe or a solution to solve the problem. And that’s what a biomarker is.
It’s something that’s unique to the patient’s given tumor that then would inform what is the best treatment. So, we’re lacking in some ways a perfect scenario. What we do have, as what I’ve mentioned, some molecular studies where we can look for specific genes or rearrangements in the genes that may help us predict the future.
And in diffuse large B-cell lymphoma, one of the most common examples of this is what we call double hit where we’re looking for two genes – MYC, which is M-Y-C, and either BCL-2 or BCL-6. These are genes that we all have. It’s just the lymphoma has moved these genes into sort of more of a prime real estate location that makes it a little bit more resistant to standard treatments.
So, if you move those genes in that tumor DNA, we call that our rearrangement. And we pick that up based off a FISH study. And if both of those features or all three of those features are there, we call it a double or triple hit.
That’s a potential biomarker that may suggest that particularly R-CHOP or standard treatment may not be the best strategy. There’s some limitations to that conclusion in that that’s not true for every patient. For about 20 percent to 30 percent of patients with double hit features, they’re going to do really well with R-CHOP.
So, that’s why we are lacking in how effective these biomarkers are. And it would be great if we had additional biomarkers that were more precise or could tell us more than just that the standard may not be optimal.
So, that’s where we’re spending a great deal of time and effort in our research efforts just trying to identify biomarkers that may tell us what’s the best approach for a given patient or what we like to call personalized medicine.