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Category: ASCO 2020

SimBioSys May 25, 2020 ASCO 2020

A systems medicine-based approach for finding metabolic targets applied to primary basal-like breast cancer.

Background: Although metabolic disfunction is one of the hallmarks of cancer and metabolism-based therapies are a key class of chemotherapeutics, there remains no systematic way to identify metabolism-based targets for therapeutic intervention. Because of this deficiency, metabolism-based therapies offer a…

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SimBioSys May 25, 2020 ASCO 2020

Need for systematic de-escalation of care in HER2+ breast cancer patients.

Background: Over the last decade, there has been incredible progress in HER2-positive breast cancer patients with the adoption of targeted therapies like Trastuzumab and Pertuzumab to complement existing chemotherapies. Increasingly neoadjuvant therapy is the preferred method of therapy as it…

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SimBioSys May 25, 2020 ASCO 2020

SimBioSys TumorScope: Spatio-temporal modeling of the tumor microenvironment to predict chemotherapeutic response.

Background: One of the most important sources of variability affecting each patient’s response to neoadjuvant chemotherapy (NACT) is drug and nutrient perfusion, The SimBioSys TumorScope is a computational decision-support system that is designed to predict the flow of drugs and…

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SimBioSys May 25, 2020 ASCO 2020

Perfusion kinetics from clinical DCE mris increase the accuracy of predictions of tumor response to chemotherapy.

Background: Nutrient and drug penetration into any solid tumor are critical determinants of the tumor’s response to treatment. They depend on both the density of microvasculature within the tumor microenvironment, as well as the exchange rates of nutrients between the…

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SimBioSys May 25, 2020 ASCO 2020

Spatiotemporal modeling with SimBioSys TumorScope to predict chemotherapeutic response in breast tumor microenvironments.

Background: Predictive models of the efficacy of different tumor therapies will provide significant enhancements to current standard of care practices. Predicting a given tumor’s growth and treatment response, however, is an intricate process that requires not only an understanding of…

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SimBioSys May 25, 2020 ASCO 2020

Variability in metabolic cross-feeding behaviors in breast cancer and response to neoadjuvant chemotherapy.

Background: Success of neoadjuvant chemotherapy (NACT) varies by intrinsic subtype of a patient’s breast cancer (e.g., Normal-like, Luminal A/B, HER2-enriched, Triple Negative). The metabolic rate of a given tumor is implicated in response to chemotherapies, as many act by killing…

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