Simulating Interclonal Interactions in Diffuse Large B-Cell Lymphoma

Abstract

Diffuse large B-cell lymphoma (DLBCL) is one of the most common types of cancers, accounting for 37% of B-cell tumors 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 with the same microenvironment. In this work, the effects of interclonal interactions between two cell populations - one sensitive to treatment and another 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 in understanding the behaviors of heterogeneous tumors and in identifying the optimal therapeutic regimen to eliminate cancer cell populations using computer-guided simulations. ImportanceThe cellular makeup of tumors can play a vital role in its growth and cancer development. In this work, two different types of cell populations of diffuse large B-cell lymphoma (DLBCL) were studied together to understand how they interact with each other in cultures. In mixed cultures, both types of cells cooperated with each other and increased their growth in complex manners. A mathematical model was created to simulate the growth behavior of mixed cultures. The model can potentially be used to predict future cell behavior and help in identifying more effective therapy regimens to maximize tumor cell reduction.