PT - JOURNAL ARTICLE AU - Maximilian A. R. Strobl AU - Jill Gallaher AU - Jeffrey West AU - Mark Robertson-Tessi AU - Philip K. Maini AU - Alexander R. A. Anderson TI - Spatial structure impacts adaptive therapy by shaping intra-tumoral competition AID - 10.1101/2020.11.03.365163 DP - 2021 Jan 01 TA - bioRxiv PG - 2020.11.03.365163 4099 - http://biorxiv.org/content/early/2021/01/16/2020.11.03.365163.short 4100 - http://biorxiv.org/content/early/2021/01/16/2020.11.03.365163.full AB - (1) Background: Adaptive therapy aims to tackle cancer drug resistance by leveraging intra-tumoral competition between drug-sensitive and resistant cells. Motivated by promising results in prostate cancer there is growing interest in extending this approach to other cancers. Here we present a theoretical study of intra-tumoral competition during adaptive therapy, to identify under which circumstances it will be superior to aggressive treatment; (2) Methods: We use a 2-D, on-lattice, agent-based tumour model to examine the impact of different microenvironmental factors on the comparison between continuous drug administration and adaptive therapy. (3) Results: We show that the degree of crowding, the initial resistance fraction, the presence of resistance costs, and the rate of tumour cell turnover are key determinants of the benefit of adaptive therapy, and we study in detail how these factors alter competition between cells. We find that intra-specific competition between resistant cells plays an unexpectedly important role in the ability to control resistance. To conclude we show how differences in resistance cost and turnover change the tumour’s spatial organisation and may explain differences in cycling speed observed in a cohort of 67 prostate cancer patients undergoing intermittent androgen deprivation therapy; (4) Conclusion: Our work provides insights into how adaptive therapy leverages inter- and intra-specific competition to control resistance, and shows that the tumour’s spatial architecture will likely be an important factor in determining the quantitative benefit of adaptive therapy in patients.Competing Interest StatementThe authors have declared no competing interest.ABMAgent-based modelODEOrdinary differential equationTTPTime to progression