Evidence map›Paper›PMID 39224699›Full record

ArticleDose-response : a publication of International Hormesis Society

The Use of Survival Dose-Rate Dependencies as Theoretical Discrimination Criteria for

Sergio Mingo Barba, Fernando Lobo-Cerna, Przemek M Krawczyk, Marco Lattuada, Rudolf M Füchslin, Alke Petri-Fink, Stephan Scheidegger

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Article in Dose-response : a publication of International Hormesis Society. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sergio Mingo BarbaSchool of Engineering, Zürich University of Applied Sciences (ZHAW), Winterthur, Switzerland.ORCID https://orcid.org/0009-0007-6359-5194
Fernando Lobo-CernaDepartment of Medical Biology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
Przemek M KrawczykDepartment of Medical Biology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
Marco LattuadaChemistry Department, University of Fribourg, Fribourg, Switzerland.
Rudolf M FüchslinSchool of Engineering, Zürich University of Applied Sciences (ZHAW), Winterthur, Switzerland.
Alke Petri-FinkChemistry Department, University of Fribourg, Fribourg, Switzerland.
Stephan ScheideggerSchool of Engineering, Zürich University of Applied Sciences (ZHAW), Winterthur, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cell repair dynamics are crucial in optimizing anti-cancer therapies. Various assays (eg, comet assay and γ-H2AX) assess post-radiation repair kinetics, but interpreting such data is challenging and model-based data analyses are required. However, ambiguities in parameter calibration remain an unsolved challenge. To address this, we propose combining survival dose-rate effects with computer simulations to gain knowledge about repair kinetics. Methods: After a literature review, theoretical discriminators based on common fractionation/dose-rate-related effects were defined to discard unrealistic model dynamics. The Multi-Hit Repair (MHR) model was calibrated with canine osteosarcoma Abrams cell line data to study the discriminators' efficacy in scenarios with limited survival data. Additionally, survival dose-rate-dependent data from the human SiHa cervical cancer cell line were used to illustrate the survival behavior at diverse dose-rates and the capability of the MHR to model these data. Results: SiHa data confirmed the validity of the proposed discriminators. The discriminators filtered 99% of parameter sets, improving the calibration of Abrams cells data. Furthermore, results from both cell lines may hint universal aspects of cellular repair. Conclusions: Dose-rate theoretical discrimination criteria are an effective method to understand repair kinetics and improve radiobiological model calibration. Moreover, this methodology may be used to analyze diverse biological data using dynamic models

Indexed as

dose-rateradiobiological modelsrepair kinetics

Identifiers

PMID39224699
PMCPMC11367615

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