Related Experiment Video
Updated: Jan 15, 2026

A Rapid Screening Workflow to Identify Potential Combination Therapy for GBM using Patient-Derived Glioma Stem Cells
Published on: March 28, 2021
Combining IMWG GA and hematopoietic score to optimize the evaluation of dynamic chemotherapy tolerance in multiple
Yadong Chen1, Fenfen He1, Yanyu Chen1
1Department of Hematology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background:
Chemotherapy tolerance significantly affects treatment efficacy and survival in multiple myeloma (MM), especially among frail patients. The International Myeloma Working Group Geriatric Assessment (IMWG GA) is widely used for frailty assessment, but limitations remain. Dynamic and integrated assessment approaches may improve risk stratification and support personalized treatment.
Methods:
We retrospectively analyzed 111 newly diagnosed MM patients treated at the Third Affiliated Hospital of Sun Yat-sen University (Jan 2018-Jun 2024). IMWG GA and Hematopoietic Score (HS) were assessed at baseline and follow-up. Static and dynamic frailty assessments were compared. Chemotherapy-related adverse events (AEs) were graded per CTCAE 5.0.
Results:
Chemotherapy tolerance and frailty status changed across cycles. Static assessments showed limited predictive value, while dynamic evaluation with IMWG GA and HS improved risk stratification. IMWG GA differentiated Fit vs. Frail patients for total AEs (HR = 1.81, p = 0.001) and non-hematological AEs (HR = 1.90, p = 0.002); HS strongly stratified hematological AEs (HR=9.91, p < 0.001). Combining both tools, the Hemo-IMWG GA model achieved superior predictive performance for total toxicity (AUC 0.619-0.646; C-index 0.615) and non-hematological toxicity (AUC 0.600-0.618; C-index 0.605), and improved stratification of hematological toxicity (C-index 0.687 vs. 0.600 for IMWG GA, though slightly below HS alone, C-index 0.717).
Conclusion:
Hemo-IMWG GA offers a dynamic, integrated approach for evaluating chemotherapy tolerance in MM. By combining functional and hematopoietic dimensions, it improves prediction of treatment-related toxicity-especially hematological AEs-and aids personalized treatment decisions.
More Related Videos
09:41An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
Published on: July 15, 2015
11:06Combining Intravital Fluorescent Microscopy IVFM with Genetic Models to Study Engraftment Dynamics of Hematopoietic Cells to Bone Marrow Niches
Published on: March 21, 2017