Non-cell-autonomous effects yield lower clonal diversity in expanding tumors

Area of Science:

• Oncology
• Evolutionary Biology
• Computational Biology

Background:

• Tumor growth involves cell-autonomous (CA) and non-cell-autonomous (NCA) effects.
• NCA effects influence phenotypes of other cells, impacting tumor evolution.
• Previous models of NCA effects on clonal diversity were limited in scope.

Purpose of the Study:

• To investigate the impact of NCA effects on tumor clonal diversity (CD) using an advanced model.
• To explore how varying frequencies of NCA mutations affect tumor evolution and heterogeneity.
• To provide insights for personalized medicine by quantifying NCA effects.

Main Methods:

• Developed an individual-based model simulating tumor evolution.
• Incorporated clones that grow, mutate, and exhibit NCA effects on other clones.
• Analyzed simulation outcomes with varying frequencies of NCA mutations.

Main Results:

• Most simulations showed reduced CD with a high frequency of NCA mutations.
• NCA effects intensified competition within the tumor.
• Dominant clones were more likely to persist, while new clones struggled to emerge.

Conclusions:

• NCA effects can decrease tumor clonal diversity by increasing competition.
• This finding contrasts with previous observations in smaller-scale models.
• Quantifying NCA effects could aid in predicting intratumor heterogeneity for personalized cancer medicine.