Abstract: Heterogeneity is a hallmark of cancer and perhaps one of the most important features associated with resistance to therapies and likelihood of recurrence and/or metastasis. Genomic instability contributes to genetic diversity, which leads to high levels of...
Accurate modeling of HER2 positive breast cancer disease progression with a biophysical modeling software
Abstract: Breast cancer (BC) progression during NAT is associated with development of distant metastases, positive LN status, and decreased OS/RFS. These can occur in the context of clinical trials and therapy de-escalation, where the focus is on delivering effective...
Accurate prediction of tumor growth and doubling times for triple negative breast cancer (TNBC) allows for patient-specific assessment of tumor aggressiveness
Abstract: TNBC is the most aggressive of breast cancer subtypes and lacks targeted therapies. Thus, tumor aggressiveness is an important factor to determine escalation of care for TNBC patients. Currently, aggressiveness is evaluated based on tumor spread and markers...
Using systems medicine for comprehensive metabolic profiling of tumors: how tumor metabolism shapes prognosis and response to chemotherapy
Abstract: Background: Metabolic disfunction is one of the hallmarks of cancer, and metabolism-based therapies are a key class of chemotherapeutics. Despite this, there has previously been no systematic way to identify metabolism-based targets for therapeutic...
Profiling the metabolism of pancreatic adenocarcinoma using a systems medicine-based approach reveals insights into tumor biology, prognosis, and new therapeutic strategies
Abstract: Background: One of the hallmarks of cancer is metabolic dysregulation that has been therapeutically targeted with metabolism-based therapies, an important class of chemotherapeutics. However, there has previously been no systematic way to identify key...
Systems medicine based metabolic profiling of metastatic melanoma reveals insights into tumor biology, prognosis, and new therapeutic strategies
Abstract: Background: Tumor cells are able to reprogram their metabolism in order to sustain continuous growth and proliferation. Although, this has led to the development of metabolism-based therapies, until now there are no systematic ways to identify key metabolic...
SimBioSys® TumorScope(TM) accurately models and predicts response to neoadjuvant therapy in Breast Cancer – Validation study
Abstract: Neoadjuvant Therapy (NAT) for breast cancer results in higher rates of breast conservation surgery. Importantly, there is data supporting the use of multiple NAT regimens, with little guidance as to which one would be most effective for a given patient....
Spatio-temporal modeling of the tumor microenvironment for prediction of patient-specific response to chemotherapy
Abstract: Tumor heterogeneity, understood as the intrinsic (e.g., mutations, dysregulation, metabolic reprogramming) and extrinsic (e.g., nutrient/drug perfusion, interactions with surrounding tissues and the tumor microenvironment (TME)) to the cells that constitute...
Integrating imaging and multi-omics data to elucidate racial differences in breast tumor biology to optimize precision oncology approaches and patient outcome
Abstract: Background: Racial disparities in breast cancer incidence and clinical outcome have been well characterized. In particular, African American (AA) patients have higher mortality rates than other racial groups. Research into these racial disparities has...