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Integrating experimental data into ecological models plays a central role inunderstanding biological mechanisms that drive tumor progression where suchknowledge can be used to develop new therapeutic strategies. While the currentstudies emphasize the role of competition among tumor cells, they fail toexplain recently observed super-linear growth dynamics across human tumors.Here we study tumor growth dynamics by developing a model that incorporatesevolutionary dynamics inside tumors with tumor-microenvironment interactions.Our results reveal that tumor cells' ability to manipulate the environment andinduce angiogenesis drives super-linear growth -- a process compatible with theAllee effect. In light of this understanding, our model suggests that forhigh-risk tumors that have a higher growth rate, suppressing angiogenesis canbe the appropriate therapeutic intervention.

Super-Linear Growth Reveals the Allee Effect in Tumors