High-throughput dynamic BH3 profiling may quickly and accurately predict effective therapies in solid tumors

Patrick D Bhola1,2, Eman Ahmed1, Jennifer L Guerriero1

  • 1Dana-Farber Cancer Institute, Boston, MA 02215, USA.

Science Signaling
|June 18, 2020
PubMed

Insights

High-throughput dynamic BH3 profiling (HT-DBP) screens drugs on patient tumors ex vivo. This functional assay predicts effective cancer treatments and personalizes therapy, overcoming limitations of molecular markers alone.

Area of Science:

  • Oncology
  • Biotechnology
  • Pharmacology

Background:

  • Predicting patient tumor sensitivity to drugs solely via molecular markers remains challenging.
  • There is a critical need for unbiased, high-throughput methods to match tumors with effective drugs without prior molecular assumptions.

Purpose of the Study:

  • To present an improved high-throughput dynamic BH3 profiling (HT-DBP) method for drug screening on patient tumors.
  • To demonstrate HT-DBP's utility as a companion diagnostic, therapeutic personalization, and drug discovery tool.

Main Methods:

  • HT-DBP is a microscopy-based, single-cell assay for screening hundreds to thousands of drugs on fresh tumor cells.
  • The assay identifies drugs that induce mitochondrial apoptotic signaling, a cell death pathway.
  • It requires only 24 hours of ex vivo culture to minimize adaptive changes in tumor cells.

Main Results:

  • HT-DBP identified effective compounds that induced tumor regression in breast cancer models (genetically engineered and patient-derived xenografts).
  • Drug sensitivities of cancer cells were observed to change during ex vivo culture.
  • Personalized pharmacotypes were generated using HT-DBP in colon cancer models and patient samples.

Conclusions:

  • HT-DBP is a scalable, ex vivo functional assay for immediate drug sensitivity testing on fresh tumor cells.
  • The method can simultaneously serve as a companion diagnostic, therapeutic personalization tool, and drug discovery platform.
  • HT-DBP addresses the need for predictive biomarkers by directly assessing drug response in patient tumors.