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Updated: May 15, 2026

Modeling Chemotherapy Resistant Leukemia In Vitro
Published on: February 9, 2016
Systems analysis of BCL2 protein family interactions establishes a model to predict responses to chemotherapy
Andreas U Lindner1, Caoimhín G Concannon, Gerhardt J Boukes
1Centre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland.
Abstract:
Apoptotic desensitization is a hallmark of cancer cells, but present knowledge of molecular systems controlling apoptosis has yet to provide significant prognostic insights. Here, we report findings from a systems study of the intrinsic pathway of apoptosis by BCL2 family proteins and clinical translation of its findings into a model with applications in colorectal cancer (CRC). By determining absolute protein quantifications in CRC cells and patient tumor samples, we found that BAK and BAX were expressed more highly than their antiapoptotic inhibitors. This counterintuitive finding suggested that sole inhibition of effector BAX and BAK could not be sufficient for systems stability in nonstressed cells. Assuming a model of direct effector activation by BH3-only proteins, we calculated that the amount of stress-induced BH3-only proteins required to activate mitochondrial apoptosis could predict individual death responses of CRC cells to 5-fluorouracil/oxaliplatin. Applying this model predictor to protein profiles in tumor and matched normal tissue samples from 26 patients with CRCs, we found that differences in protein quantities were sufficient to model the increased tumor sensitivity to chemotherapy compared with normal tissue. In addition, these differences were sufficient to differentiate clinical responders from nonresponders with high confidence. Applications of our model, termed DR_MOMP, were used to assess the impact of apoptosis-sensitizing drugs in lowering the necessary dose of state-of-the-art chemotherapy in individual patients. Together, our findings offer a ready clinical tool with the potential to tailor chemotherapy to individual patients.
Insights
Cancer cells resist apoptosis, but a new model using BCL2 family proteins predicts colorectal cancer patient response to chemotherapy. This system, DR_MOMP, tailors treatment by assessing protein levels for better outcomes.
Area of Science:
- Molecular Biology
- Cancer Research
- Systems Biology
Background:
- Cancer cells often evade apoptosis, limiting treatment efficacy.
- Understanding the BCL2 protein family's role in apoptosis is crucial for cancer therapy.
Purpose of the Study:
- To develop a systems-based model for predicting colorectal cancer (CRC) cell apoptosis.
- To translate this model into a clinical tool for tailoring chemotherapy.
Main Methods:
- Absolute protein quantification in CRC cells and patient samples.
- Development of the DR_MOMP model based on BCL2 family protein interactions.
- Analysis of protein profiles to predict chemotherapy response in CRC patients.
Main Results:
- BAK and BAX were highly expressed in CRC cells, suggesting complex apoptosis regulation.
- The DR_MOMP model accurately predicted CRC cell death responses to chemotherapy.
- Protein differences between tumor and normal tissues correlated with chemotherapy sensitivity.
- The model successfully differentiated clinical responders from nonresponders.
Conclusions:
- The DR_MOMP model provides a novel clinical tool for personalized chemotherapy in colorectal cancer.
- This approach leverages systems biology to predict and optimize patient treatment outcomes.
- The findings highlight the potential for apoptosis-sensitizing drugs to reduce chemotherapy dosage.
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