Andrew D. Zelenetz, MD, PhD, on MRD Testing in the Management of Non-Hodgkin Lymphoma
2021 Pan Pacific Lymphoma Conference
Andrew D. Zelenetz, MD, PhD, of Memorial Sloan Kettering Cancer Center, discusses the role of minimal residual disease evaluation in the treatment of non-Hodgkin lymphoma, techniques used to predict relapse such as immunosequencing and CAPP-Sequencing, and whether such assays could replace the use of imaging with its attendant radiation exposure.
The ASCO Post Staff
Jonathan W. Friedberg, MD, of the University of Rochester Medical Center, discusses treatment options for follicular lymphoma, focusing on the combination of lenalidomide and rituximab and why he uses that regimen for first relapse but not front-line therapy.
The ASCO Post Staff
Muhamed Baljevic, MD, of the University of Nebraska Medical Center, reviews the outlook for treating patients with relapsed and refractory multiple myeloma, the rapidly expanding array of therapeutic options with novel mechanisms of action, and the challenges of sequencing treatments.
The ASCO Post Staff
Stephen M. Ansell, MD, PhD, of the Mayo Clinic, and Bruce D. Cheson, MD, of the Lymphoma Research Foundation, engage in a lively debate about CAR T-cell therapy, how it fits in with immunotherapy and nonchemotherapy approaches, and how to decide which treatment is right for which patient, especially given the many challenges of obtaining CAR T cells.
The ASCO Post Staff
Sonali M. Smith, MD, of the University of Chicago, discusses the many uncertainties in preventing secondary high-grade B-cell lymphomas, which have a poor prognosis; how to discern the patients at highest risk; and whether prophylaxis with monoclonal antibodies such as rituximab can mitigate the likelihood of secondary lymphoma.
The ASCO Post Staff
Alison J. Moskowitz, MD, of Memorial Sloan Kettering Cancer Center, discusses the combination ABVD (doxorubicin, bleomycin, vinblastine, and dacarbazine), individualized approaches for treating patients with Hodgkin lymphoma, and novel methods for risk stratification.
