Related Experiment Video
Updated: Jan 8, 2026
A 3D Organotypic Melanoma Spheroid Skin Model
Published on: May 18, 2018
WITHDRAWAL: Adaptive Therapy of Metastatic Melanoma: Calibration and Prediction of a Mathematical Model
Haiying Liu1,2, Hongli Yang1, Liangui Yang1
1School of Mathematical Sciences, Inner Mongolia University, Hohhot, 010021, China.
Withdrawal:
H. Liu, H. Yang, L. Yang, "Adaptive Therapy of Metastatic Melanoma: Calibration and Prediction of a Mathematical Model", IET Systems Biology (2025): e12052. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.12052 The above article, published online on 11 December 2025, on Wiley Online Library (wileyonlinelibrary.com), has been withdrawn by agreement between the Institution of Engineering and Technology and John Wiley & Sons Ltd. UK. The withdrawal has been agreed as this manuscript was under consideration but the decision not to proceed with publication was taken. Despite this decision, the article was subsequently published due to a technical error on the part of Wiley, the publisher, as an unedited accepted article prior to the version of record.
Insights
Adaptive therapy uses tumor competition to delay drug resistance in metastatic melanoma. Optimizing treatment withdrawal and minimizing resistance rates enhances its effectiveness.
Area of Science:
- Oncology
- Mathematical Biology
- Cancer Therapeutics
Background:
- Adaptive therapy is an emerging cancer treatment strategy aiming to delay drug resistance by exploiting intra-tumoral competition.
- Initial successes in metastatic castrate-resistant prostate cancer trials have spurred interest in applying adaptive therapy to other tumor types.
Purpose of the Study:
- To investigate the efficacy of adaptive therapy for metastatic melanoma using a mathematical model.
- To identify key parameters influencing the success of adaptive therapy in melanoma patients.
Main Methods:
- Development and calibration of a mathematical model incorporating sensitive and drug-resistant cell populations.
- Simulation of adaptive therapy outcomes using patient data from metastatic melanoma.
Main Results:
- Adaptive therapy's effectiveness is contingent upon initial tumor density, resistance levels, drug-induced resistance rate, and baseline tumor size.
- Sufficient tumor burden reduction for treatment withdrawal, strong intra-tumoral competition, and minimized drug-induced resistance are crucial for therapeutic benefit.
- Extended treatment holidays can amplify intra-tumoral competition, thereby improving adaptive therapy outcomes.
Conclusions:
- Adaptive therapy presents a practical and potentially effective treatment strategy for metastatic melanoma.
- This study offers insights for designing personalized adaptive treatment plans for melanoma patients.
