TTP: Tool for Tumor Progression

TL;DR

This paper introduces TTP, a flexible computational tool that simulates tumor evolution by modeling cancer cell growth dynamics based on customizable fitness landscapes, mutation rates, and cell division times.

Contribution

The paper presents a novel, adaptable simulation tool for tumor progression that integrates various biological parameters to study cancer evolution.

Findings

Simulates tumor growth dynamics under different parameters.

Provides statistical outputs of tumor evolution.

Flexible input options for diverse biological scenarios.

Abstract

In this work we present a flexible tool for tumor progression, which simulates the evolutionary dynamics of cancer. Tumor progression implements a multi-type branching process where the key parameters are the fitness landscape, the mutation rate, and the average time of cell division. The fitness of a cancer cell depends on the mutations it has accumulated. The input to our tool could be any fitness landscape, mutation rate, and cell division time, and the tool produces the growth dynamics and all relevant statistics.