Evidence map›Paper›PMID 42200011›Full record

ArticleFrontiers in oncology2026

Continuous adaptive chemotherapy dosing by using planet-formation-inspired dynamics: analytical and

Marco P Soares Dos Santos, Sérgio X F Santos, Rodrigo M C Bernardo, João V Vidal, Gil Gonçalves

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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marco P Soares Dos SantosCenter for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
Sérgio X F SantosCenter for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
Rodrigo M C BernardoCenter for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
João V VidalDepartment of Physics and Aveiro Institute of Materials (CICECO), University of Aveiro, Aveiro, Portugal.
Gil GonçalvesCenter for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current therapeutic planning of chemotherapy is based on empirical dosimetry and intermittent dose administration, which can cause poorly defined therapeutic timepoints due to tumor heterogeneities and related highly uncertain tumor dynamics. Dynamic control strategies have been investigated to overcome these limitations, but their dependence on reliable mathematical models predicting tumor dynamics and/or their inherent intuition have hampered their use in clinical practice. This study proposes a control method for administering chemotherapeutic drugs using planet-formation-like dynamics to ensure high adaptability and versatility to uncertain tumor dynamics, taking advantage of the evolutive, deterministic, adaptive, convergent, and robust behavior of planetary systems. Methods: The planet-formation-inspired controller was designed using accretion and gravitational attraction that occur during planet formation, such that chemotherapeutic trajectories are attracted in an analogous pattern as planetesimal bodies (masses/particles) are attracted to protoplanets. The necessary conditions to guarantee stability are provided, as well as extensive simulation results for cyclophosphamide, different tumor volumes (200 and 2,000 mm Results: This controller ensured either tumor remission or retention states, regardless of the initial tumor volume, tumor growth dynamics, and the potential impact of chemoresistance. Its non-linear drug administration resulted in highly robust, stable, and adaptive behaviors, with detumorization represented as an effective response metric that does not explicitly incorporate inter-individual biological variability and is associated with a uniformization of treatment times. Such planet-formation-inspired administration forces detumorization dynamics defined by geometro-pharmacokinetics that significantly outperform both non-adaptive and adaptive intermittent administrations. We also found that drag forces inside protoplanets are usually the most dominant astrophysical phenomenon influencing mechanobiological dynamics in resistance-free chemotherapy, while accretion is usually the most dominant one in cancer therapies with chemoresistance. Conclusion: This study provides a computationally promising proof-of-concept highlighting that planet-formation-inspired dynamics can effectively overcome the limitations of tumor heterogeneity and uncertain tumor dynamics, presenting significant improvements compared to conventional chemotherapy administration.

Indexed as

cancer treatmentchemotherapy controlcontinuous chemotherapy dosingdynamic controlintermittent chemotherapy dosingplanet formation

Identifiers

PMID42200011
PMCPMC13200006

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