4.5 Article

Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer

Journal

PHARMACEUTICAL RESEARCH
Volume 39, Issue 3, Pages 511-528

Publisher

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s11095-022-03176-3

Keywords

allometry; cancer treatment; mathematical modeling; microRNA; pharmacokinetics and pharmacodynamics; precision medicine; tumor-immune interaction

Funding

  1. National Science Foundation [DMS-1930583]
  2. National Institutes of Health [1R01CA253865, 1U01CA196403, 1U01CA213759, 1R01CA226537, 1R01CA222007, U54CA210181]
  3. Cockrell Foundation
  4. Felix L. Haas Endowed Professorship in Basic Science
  5. NCI [1R01 CA182905-01, 1R01CA222007-01A1]
  6. NIGMS [1R01GM122775-01]
  7. DoD [W81XWH2110030]
  8. Team DOD grant in Gastric Cancer
  9. Chronic Lymphocytic Leukemia Moonshot Flagship project
  10. CLL Global Research Foundation 2019 grant
  11. CLL Global Research Foundation 2020 grant
  12. Mathers Foundation grant
  13. Brain SPORE [2P50CA127001]

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The downregulation of miRNA-22 in TNBC is associated with upregulation of eEF2K protein, and miRNA-22 nanotherapy shows potential as an investigational therapeutic agent. A mechanistic model was developed to evaluate the translational potential of miRNA-22 nanotherapy, revealing dose-response relationship and optimal treatment frequency. Combining miRNA-22 nanotherapy with immune checkpoint inhibitors and standard-of-care drugs showed promising results in improving treatment outcomes for TNBC.
Purpose Downregulation of miRNA-22 in triple-negative breast cancer (TNBC) is associated with upregulation of eukaryotic elongation 2 factor kinase (eEF2K) protein, which regulates tumor growth, chemoresistance, and tumor immunosurveillance. Moreover, exogenous administration of miRNA-22, loaded in nanoparticles to prevent degradation and improve tumor delivery (termed miRNA-22 nanotherapy), to suppress eEF2K production has shown potential as an investigational therapeutic agent in vivo. Methods To evaluate the translational potential of miRNA-22 nanotherapy, we developed a multiscale mechanistic model, calibrated to published in vivo data and extrapolated to the human scale, to describe and quantify the pharmacokinetics and pharmacodynamics of miRNA-22 in virtual patient populations. Results Our analysis revealed the dose-response relationship, suggested optimal treatment frequency for miRNA-22 nanotherapy, and highlighted key determinants of therapy response, from which combination with immune checkpoint inhibitors was identified as a candidate strategy for improving treatment outcomes. More importantly, drug synergy was identified between miRNA-22 and standard-of-care drugs against TNBC, providing a basis for rational therapeutic combinations for improved response Conclusions The present study highlights the translational potential of miRNA-22 nanotherapy for TNBC in combination with standard-of-care drugs.

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