Related Experiment Video
Updated: Sep 22, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Published on: December 15, 2017
MRD in ALL: Optimization and Innovations
Eric Pierce1, Benjamin Mautner1, Joseph Mort1
1Department of Medicine, Division of Hematology and Oncology, University of Virginia Comprehensive Cancer Center, 1300 Jefferson Park Ave, PO Box 800716, Charlottesville, VA, 22908, USA.
Purpose Of Review:
Measurable residual disease (MRD) is an important monitoring parameter that can help predict survival outcomes in acute lymphoblastic leukemia (ALL). Identifying patients with MRD has the potential to decrease the risk of relapse with the initiation of early salvage therapy and to help guide decision making regarding allogeneic hematopoietic cell transplantation. In this review, we discuss MRD in ALL, focusing on advantages and limitations between MRD testing techniques and how to monitor MRD in specific patient populations.
Recent Findings:
MRD has traditionally been measured through bone marrow samples, but more data for evaluation of MRD via peripheral blood is emerging. Current and developmental testing strategies for MRD include multiparametric flow cytometry (MFC), next-generation sequencing (NGS), quantitative polymerase chain reaction (qPCR), and ClonoSeq. Novel therapies are incorporating MRD as an outcome measure to demonstrate efficacy, including blinatumomab, inotuzumab ozogamicin, and chimeric antigen receptor T (CAR-T) cell therapy. Understanding how to incorporate MRD testing into the management of ALL could improve patient outcomes and predict efficacy of new therapy options.
Related Concept Videos
Response Surface Methodology
The process of RSM involves several key steps:
Magnetic Resonance Imaging
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Methods of Documentation II: POMR

