ArticleMolecular systems biology2020
Patient-specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies.
Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
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- PatientProfiler: building patient-specific signaling models from proteogenomic data.Molecular systems biology · 2025Article
- Computational modelling of aggressive B-cell lymphoma.Biochemical Society transactions · 2025Review
- Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025Review
- CanSeer: a translational methodology for developing personalized cancer models and therapeutics.Scientific reports · 2025Article
- Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.Pharmaceutical research · 2025Article
- Cohort-specific boolean models highlight different regulatory modules during Parkinson's disease progression.iScience · 2024Article
- From Crypts to Cancer: A Holistic Perspective on Colorectal Carcinogenesis and Therapeutic Strategies.International journal of molecular sciences · 2024Review
- Article
- Computational Advancements in Cancer Combination Therapy Prediction.JCO precision oncology · 2023Article
- A comprehensive mechanistic model of adipocyte signaling with layers of confidence.NPJ systems biology and applications · 2023Article
- CCSynergy: an integrative deep-learning framework enabling context-aware prediction of anti-cancer drug synergy.Briefings in bioinformatics · 2023Article
- Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.Frontiers in systems biology · 2023Article
- Synergistic effects of complex drug combinations in colorectal cancer cells predicted by logical modelling.Frontiers in systems biology · 2023Article
- A microfluidic Braille valve platform for on-demand production, combinatorial screening and sorting of chemically distinct droplets.Nature protocols · 2022Review
- Mathematical model of the cell signaling pathway based on the extended Boolean network model with a stochastic process.BMC bioinformatics · 2022Article
- An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis.BMC biology · 2022Article
- Precision oncology using ex vivo technology: a step towards individualised cancer care?Expert reviews in molecular medicine · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanistic modeling of signaling pathways mediating patient-specific response to therapy can help to unveil resistance mechanisms and improve therapeutic strategies. Yet, creating such models for patients, in particular for solid malignancies, is challenging. A major hurdle to build these models is the limited material available that precludes the generation of large-scale perturbation data. Here, we present an approach that couples ex vivo high-throughput screenings of cancer biopsies using microfluidics with logic-based modeling to generate patient-specific dynamic models of extrinsic and intrinsic apoptosis signaling pathways. We used the resulting models to investigate heterogeneity in pancreatic cancer patients, showing dissimilarities especially in the PI3K-Akt pathway. Variation in model parameters reflected well the different tumor stages. Finally, we used our dynamic models to efficaciously predict new personalized combinatorial treatments. Our results suggest that our combination of microfluidic experiments and mathematical model can be a novel tool toward cancer precision medicine.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.