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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
Summary
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.

