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Published on: November 9, 2020
BH3 profiling identifies three distinct classes of apoptotic blocks to predict response to ABT-737 and conventional
Jing Deng1, Nicole Carlson, Kunihiko Takeyama
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Abstract:
Cancer cells exhibit many abnormal phenotypes that induce apoptotic signaling via the intrinsic, or mitochondrial, pathway. That cancer cells nonetheless survive implies that they select for blocks in apoptosis. Identifying cancer-specific apoptotic blocks is necessary to rationally target them. Using a panel of 18 lymphoma cell lines, we show that a strategy we have developed, BH3 profiling, can identify apoptotic defects in cancer cells and separate them into three main classes based on position in the apoptotic pathway. BH3 profiling identifies cells that require BCL-2 for survival and predicts sensitivity to the BCL-2 antagonist ABT-737. BCL-2 dependence correlates with high levels of proapoptotic BIM sequestered by BCL-2. Strikingly, BH3 profiling can also predict sensitivity to conventional chemotherapeutic agents like etoposide, vincristine, and adriamycin.
Insights
BH3 profiling identifies cancer cell apoptosis defects, classifying them by pathway position. This method predicts sensitivity to targeted therapies like ABT-737 and conventional chemotherapy, aiding rational cancer treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Cell Biology
Background:
- Cancer cells often evade apoptosis, a programmed cell death process, through various mechanisms.
- Understanding and targeting these apoptotic blocks is crucial for developing effective cancer therapies.
Purpose of the Study:
- To develop and validate BH3 profiling as a method to identify cancer-specific apoptotic defects.
- To classify cancer cells based on their apoptotic pathway vulnerabilities.
- To correlate these defects with sensitivity to specific anti-cancer agents.
Main Methods:
- BH3 profiling was applied to a panel of 18 lymphoma cell lines.
- Analysis focused on identifying dependencies on anti-apoptotic proteins like BCL-2.
- Correlation of BH3 profiling results with sensitivity to ABT-737 and conventional chemotherapeutics.
Main Results:
- BH3 profiling successfully identified apoptotic defects and classified cells into three distinct groups.
- The method predicted BCL-2 dependence, which correlated with BIM sequestration.
- BH3 profiling accurately predicted sensitivity to the BCL-2 inhibitor ABT-737.
- Sensitivity to etoposide, vincristine, and adriamycin was also predicted by BH3 profiling.
Conclusions:
- BH3 profiling is a valuable tool for dissecting apoptotic defects in cancer cells.
- This technique can guide the rational selection of targeted therapies and conventional chemotherapy.
- BH3 profiling offers a predictive biomarker for patient response to specific anti-cancer treatments.
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