Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers

Maxim Kuznetsov; Vikram Adhikarla; Enrico Caserta; Xiuli Wang; John E Shively; Flavia Pichiorri; Russell C Rockne

doi:10.1158/2767-9764.CRC-24-0306

Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers

Cancer Res Commun. 2024 Nov 1;4(11):2955-2967. doi: 10.1158/2767-9764.CRC-24-0306.

Authors

Maxim Kuznetsov¹, Vikram Adhikarla¹, Enrico Caserta², Xiuli Wang³, John E Shively⁴, Flavia Pichiorri², Russell C Rockne¹

Affiliations

¹ Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, Duarte, California.
² Department of Hematologic Malignancies Translational Science, Beckman Research Institute, City of Hope National Medical Center, Duarte, California.
³ Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, California.
⁴ Department of Immunology and Theranostics, Beckman Research Institute, City of Hope National Medical Center, Duarte, California.

Abstract

Mathematical modeling yields general principles for optimization of TRT in mouse models of multiple myeloma that can be extrapolated to other cancer models and clinical settings.

MeSH terms

Animals
Hematologic Neoplasms / radiotherapy
Humans
Mice
Models, Theoretical
Multiple Myeloma* / radiotherapy

Grants and funding

R01 CA238429/CA/NCI NIH HHS/United States