Developing a Mathematical Model of Intracellular Calcium Dynamics for Evaluating Combined Anticancer Effects of

Yan Chang1, Marah Funk2, Souvik Roy2

  • 1College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX 76019, USA.

Insights

Combining afatinib and RP4010 shows synergistic anticancer effects in esophageal cancer. Mathematical simulations guided the identification of optimal drug ratios, improving treatment strategies.

Area of Science:

  • Oncology
  • Biochemistry
  • Computational Biology

Background:

  • Dysregulated calcium (Ca2+) signaling is a target for cancer chemotherapy.
  • Store-operated Ca2+ entry (SOCE) blockers like RP4010 show promise for esophageal cancer.
  • Afatinib, a tyrosine kinase inhibitor (TKI), is approved for EGFR mutation-positive cancers, including esophageal cancer.

Purpose of the Study:

  • To evaluate the combined anticancer effects of afatinib and RP4010 on esophageal cancer cells.
  • To investigate the impact of afatinib and RP4010 on intracellular Ca2+ oscillations using experimental and mathematical approaches.
  • To determine if mathematical simulations can guide the optimal ratio for combined therapy.

Main Methods:

  • Utilized KYSE-150 human esophageal squamous cell carcinoma cell line.
  • Employed experimental measurements of intracellular Ca2+ oscillations and cell proliferation.
  • Developed and validated mathematical models to simulate Ca2+ dynamics under drug treatment.

Main Results:

  • Mathematical simulations accurately reflected experimental data for afatinib and RP4010, individually and in combination.
  • The study identified an optimal ratio of afatinib and RP4010 for combined treatment based on simulation guidance.
  • Combined treatment demonstrated synergistic anticancer effects, confirmed by Ca2+ measurements and reduced cell proliferation.

Conclusions:

  • A combination of afatinib and RP4010 exhibits synergistic anticancer activity against esophageal cancer.
  • Intracellular Ca2+ dynamic-based mathematical modeling is a valuable tool for optimizing combined targeted therapy drug evaluation.
  • This approach offers a rapid and cost-effective method for assessing combination drug therapies.

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