Use of Ex Vivo Patient-Derived Tumor Organotypic Spheroids to Identify Combination Therapies for HER2 Mutant

Elena Ivanova1,2, Mari Kuraguchi1,2, Man Xu1,2

  • 1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

Abstract

Insights

This study evaluated neratinib drug combinations in HER2-mutant non-small cell lung cancer (NSCLC) using patient-derived xenograft-derived organotypic spheroids (XDOTS). Neratinib combined with trastuzumab or temsirolimus showed promise for treating HER2-mutant NSCLC.

Area of Science:

  • Oncology
  • Pharmacology
  • Biotechnology

Background:

  • Primary patient-derived cells offer a rapid ex vivo approach for drug response evaluation.
  • HER2-mutant non-small cell lung cancer (NSCLC) presents a challenge for targeted therapy development.

Purpose of the Study:

  • To identify effective neratinib combinations for HER2-mutant NSCLC using a novel ex vivo system.
  • To evaluate the efficacy of drug combinations in patient-derived xenograft-derived organotypic spheroids (XDOTS).

Main Methods:

  • Generated two HER2-mutant NSCLC patient-derived xenograft (PDX) models.
  • Established XDOTS from PDX tumors and treated them ex vivo with neratinib-based combinations.
  • Validated the most effective ex vivo combination in vivo using PDX models and a genetically engineered mouse model.

Main Results:

  • Neratinib and afatinib induced cell death in one HER2-mutant NSCLC model, while gefitinib did not.
  • Combinations of neratinib/trastuzumab and neratinib/temsirolimus enhanced neratinib's therapeutic benefit.
  • The neratinib/trastuzumab combination demonstrated superior in vivo efficacy and HER2 signaling inhibition compared to single agents.

Conclusions:

  • The XDOTS platform is effective for evaluating ex vivo therapies and drug combinations using PDX tumors.
  • This approach can accelerate the development of therapies for targets with limited existing models.
  • XDOTS facilitates rapid screening of therapeutic strategies for HER2-mutant NSCLC.

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