Simulating Interclonal Interactions in Diffuse Large B-Cell Lymphoma

Siddarth R. Ganesh, Charles M. Roth, Biju Parekkadan

Research output: Contribution to journalArticlepeer-review

Abstract

Diffuse large B-cell lymphoma (DLBCL) is one of the most common types of cancers, accounting for 37% of B-cell tumor cases globally. DLBCL is known to be a heterogeneous disease, resulting in variable clinical presentations and the development of drug resistance. One underexplored aspect of drug resistance is the evolving dynamics between parental and drug-resistant clones within the same microenvironment. In this work, the effects of interclonal interactions between two cell populations—one sensitive to treatment and the other resistant to treatment—on tumor growth behaviors were explored through a mathematical model. In vitro cultures of mixed DLBCL populations demonstrated cooperative interactions and revealed the need for modifying the model to account for complex interactions. Multiple best-fit models derived from in vitro data indicated a difference in steady-state behaviors based on therapy administrations in simulations. The model and methods may serve as a tool for understanding the behaviors of heterogeneous tumors and identifying the optimal therapeutic regimen to eliminate cancer cell populations using computer-guided simulations.

Original languageAmerican English
Article number1360
JournalBioengineering
Volume10
Issue number12
DOIs
StatePublished - Dec 2023
Externally publishedYes

ASJC Scopus subject areas

  • Bioengineering

Keywords

  • clonal interaction
  • diffuse large B-cell lymphoma
  • mathematical model

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