Phenotypic plasticity and competition shape therapy sequencing in HER2+/HER2- breast cancer: A mathematical framework

Aleksandra Gavrilova1, Trachette Jackson2, Nizhum Rahman2

  • 1Department of Mathematics, Denison University, Granville, OH 43023, United States.

Insights

Simultaneous treatment for HER2-positive breast cancer is more effective than staggered schedules. This approach better suppresses both HER2-positive and HER2-negative tumor cells, preventing rebound and improving outcomes.

Area of Science:

  • Oncology
  • Mathematical Biology
  • Pharmacodynamics

Background:

  • Tumor heterogeneity and phenotypic plasticity drive cancer treatment failure.
  • HER2-positive breast cancer presents challenges due to co-existing HER2-positive and HER2-negative cells.

Purpose of the Study:

  • To develop a mathematical model for HER2-positive/negative tumor dynamics.
  • To compare the efficacy of staggered versus simultaneous treatment schedules.

Main Methods:

  • Developed a compact ordinary differential equation framework.
  • Integrated phenotypic plasticity, density-dependent growth, and inter-phenotype competition.
  • Incorporated phenotype-specific therapies (Paclitaxel and Notch-pathway inhibition).

Main Results:

  • Treatment order and intensity critically influence long-term tumor composition.
  • Targeted-first schedules can lead to competitive release, favoring HER2-negative cells.
  • Simultaneous initiation effectively suppresses both phenotypes and avoids rebound.

Conclusions:

  • Ecological structure is crucial for designing effective cancer therapies.
  • Simultaneous combination therapy followed by targeted maintenance is supported by the findings.

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