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Related Concept Videos

Tumor Progression02:07

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Related Experiment Video

Updated: Jun 16, 2025

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
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Tumor growth dynamics under adaptive therapy: a multi-scale computational approach.

Al Imran1, Changbiao Li2, Yanpeng Zhang2

  • 1Key Laboratory for Physical Electronics and Devices of the Ministry of Education & Shaanxi Key Lab of Information Photonic Technique, Xi'an Jiaotong University, Xi'an, 710049, China. emonemon45@gmail.com.

Theory in Biosciences = Theorie in Den Biowissenschaften
|May 26, 2025
PubMed
Summary

Adaptive therapy, a novel cancer treatment, stabilizes tumor size and delays resistance by adjusting intensity. This approach preserves tumor cell diversity, offering a more sustainable and effective long-term solution compared to maximum tolerated dose treatments.

Keywords:
Adaptive therapyMulti-scale computational modelTumor growth dynamics

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Area of Science:

  • Computational oncology
  • Mathematical modeling in cancer research
  • Tumor dynamics and treatment resistance

Background:

  • Cancer therapies face resistance due to selective pressures from treatments like maximum tolerated dose (MTD).
  • Adaptive therapy offers a promising alternative by adjusting treatment intensity based on tumor response to manage growth and delay resistance.

Purpose of the Study:

  • To develop and utilize a multi-scale computational model integrating cellular processes, tumor population dynamics, and adaptive therapy protocols.
  • To compare the efficacy of MTD and adaptive therapy in controlling tumor size, managing resistance, and optimizing patient survival.

Main Methods:

  • Simulations were conducted using a multi-scale computational model.
  • The model integrated cellular-level processes, tumor population dynamics, and adaptive therapy protocols.
  • Efficacy was evaluated by comparing tumor size, resistance development, and patient survival under MTD and adaptive therapy.

Main Results:

  • Adaptive therapy demonstrated potential in stabilizing tumor size and delaying resistance.
  • Adaptive therapy maintained a diverse population of tumor cells, preserving tumor heterogeneity.
  • Simulations suggest adaptive therapy could offer improved tumor control and delayed resistance compared to MTD.

Conclusions:

  • Adaptive therapy presents a promising alternative to MTD for cancer treatment.
  • This approach may lead to improved patient outcomes and a better quality of life by delaying resistance.
  • Preserving tumor heterogeneity through adaptive therapy could provide a more effective long-term cancer management strategy.