Combination Therapy with Trastuzumab and Niraparib: Quantifying Early Proliferative Alterations in HER2+ Breast

Ameer Mansur1, Patrick N Song2,3, Yun Lu2,3

  • 1Department of Biomedical Engineering, The University of Alabama, Birmingham, AL 35233, USA.

Biomedicines
|August 26, 2023
PubMed

Insights

Combining trastuzumab with poly-(ADP-ribose) polymerase (PARP) inhibitors shows promise for HER2+ breast cancer. Early [18F]FLT-PET imaging may track treatment response, but requires optimized quantification for heterogeneous tumors.

Area of Science:

  • Oncology
  • Molecular Biology
  • Radiochemistry

Background:

  • HER2-targeted therapies improve survival in HER2+ breast cancer but face resistance.
  • Poly-(ADP-ribose) polymerase (PARP) inhibitors show efficacy in HER2+ breast cancer, independent of DNA repair status.
  • Understanding early biological changes is crucial for optimizing combination therapies.

Purpose of the Study:

  • To investigate biological factors preceding cell viability changes with combined trastuzumab and PARP inhibition.
  • To evaluate 3'-Deoxy-3'-[18F]-fluorothymidine positron emission tomography ([18F]FLT-PET) for early response assessment in HER2+ breast cancer models.

Main Methods:

  • In vitro and in vivo evaluation of treatment response in HER2+ and HER2- breast cancer cells.
  • Utilizing patient-derived xenograft (PDX) models for in vivo studies.
  • Assessing cellular proliferation using [18F]FLT-PET imaging.

Main Results:

  • Combination therapy decreased cell viability in vitro and inhibited tumor growth in vivo.
  • Early cellular proliferation changes correlated with endpoint cell viability.
  • [18F]FLT-PET histogram analysis showed potential for imaging proliferation biomarkers, though standard metrics were insensitive.

Conclusions:

  • Combined trastuzumab and PARP inhibition is a potential therapeutic strategy for HER2+ breast cancer.
  • Optimization of [18F]FLT-PET quantification is needed for heterogeneous HER2+ breast cancer models.
  • Early proliferation imaging may predict treatment response.