Limiting the Development of Anti-Cancer Drug Resistance in a Spatial Model of Micrometastases
Ami B. Shah, Katarzyna A. Rejniak, Jana L. Gevertz

TL;DR
This study uses a spatial tumor model to identify chemotherapy dosing schedules that can better prevent resistance in micrometastases, potentially improving metastatic cancer treatment.
Contribution
It introduces a hybrid spatial model analyzing how different dosing schedules affect resistance development in metastatic tumors, highlighting effective fractionated protocols.
Findings
Certain fractionated-dose protocols outperform metronomic therapy in eradicating resistant micrometastases.
Protocols are effective across different resistance scenarios and cell line responsiveness.
The study suggests optimized scheduling can limit metastatic progression.
Abstract
While chemoresistance in primary tumors is well-studied, much less is known about the influence of systemic chemotherapy on the development of drug resistance at metastatic sites. In this work, we use a hybrid spatial model of tumor response to a DNA damaging drug to study how the development of chemoresistance in micrometastases depends on the drug dosing schedule. We separately consider cell populations that harbor pre-existing resistance to the drug, and those that acquire resistance during the course of treatment. For each of these independent scenarios, we consider one hypothetical cell line that is responsive to metronomic chemotherapy, and another that with high probability cannot be eradicated by a metronomic protocol. Motivated by experimental work on ovarian cancer xenografts, we consider all possible combinations of a one week treatment protocol, repeated for three weeks, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
