Related Experiment Video
Updated: Jul 4, 2025

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
Published on: May 18, 2020
Integrative modeling uncovers p21-driven drug resistance and prioritizes therapies for PIK3CA-mutant breast cancer
Hon Yan Kelvin Yip1, Sung-Young Shin1, Annabel Chee1,2
1Cancer Program, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia.
Abstract:
Utility of PI3Kα inhibitors like BYL719 is limited by the acquisition of genetic and non-genetic mechanisms of resistance which cause disease recurrence. Several combination therapies based on PI3K inhibition have been proposed, but a way to systematically prioritize them for breast cancer treatment is still missing. By integrating published and in-house studies, we have developed in silico models that quantitatively capture dynamics of PI3K signaling at the network-level under a BYL719-sensitive versus BYL719 resistant-cell state. Computational predictions show that signal rewiring to alternative components of the PI3K pathway promote resistance to BYL719 and identify PDK1 as the most effective co-target with PI3Kα rescuing sensitivity of resistant cells to BYL719. To explore whether PI3K pathway-independent mechanisms further contribute to BYL719 resistance, we performed phosphoproteomics and found that selection of high levels of the cell cycle regulator p21 unexpectedly promoted drug resistance in T47D cells. Functionally, high p21 levels favored repair of BYL719-induced DNA damage and bypass of the associated cellular senescence. Importantly, targeted inhibition of the check-point inhibitor CHK1 with MK-8776 effectively caused death of p21-high T47D cells, thus establishing a new vulnerability of BYL719-resistant breast cancer cells. Together, our integrated studies uncover hidden molecular mediators causing resistance to PI3Kα inhibition and provide a framework to prioritize combination therapies for PI3K-mutant breast cancer.
Insights
Resistance to PI3Kα inhibitors like BYL719 in breast cancer can be overcome. Targeting PDK1 or CHK1, alongside BYL719, shows promise in resensitizing resistant cells and improving treatment outcomes.
Area of Science:
- Oncology
- Pharmacology
- Computational Biology
Background:
- Phosphoinositide 3-kinase alpha (PI3Kα) inhibitors, such as BYL719, show limited efficacy in breast cancer due to acquired resistance.
- Developing effective combination therapies to overcome PI3Kα inhibitor resistance is crucial for improving patient outcomes.
Purpose of the Study:
- To develop in silico models to understand PI3K signaling dynamics and identify novel therapeutic targets for BYL719-resistant breast cancer.
- To investigate both PI3K pathway-dependent and -independent mechanisms contributing to BYL719 resistance.
Main Methods:
- Integrated published and in-house data to build computational models of PI3K signaling networks.
- Performed phosphoproteomics to identify resistance mechanisms.
- Utilized in silico predictions and experimental validation to assess co-targeting strategies.
Main Results:
- In silico models revealed signal rewiring within the PI3K pathway contributes to BYL719 resistance, identifying PDK1 as a key co-target.
- High levels of the cell cycle regulator p21 were found to promote resistance by facilitating DNA damage repair and bypassing senescence.
- Targeting CHK1 with MK-8776 effectively eliminated p21-high, BYL719-resistant T47D breast cancer cells.
Conclusions:
- PDK1 and CHK1 inhibition represent promising combination strategies to overcome BYL719 resistance in PI3K-mutant breast cancer.
- The study provides a framework for prioritizing combination therapies by uncovering novel resistance mechanisms and vulnerabilities.
More Related Videos
13:34A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
09:29Development and Maintenance of a Preclinical Patient Derived Tumor Xenograft Model for the Investigation of Novel Anti-Cancer Therapies
Published on: September 30, 2016
Related Concept Videos
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Targeted Cancer Therapies
There are several types of targeted therapies against...
Interactions Between Signaling Pathways
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
PI3K/mTOR/AKT Signaling Pathway
Treatment Resistant Cancers
mTOR Signaling and Cancer Progression
The mTOR pathway or the...