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Publications
Novel imaging marker for low- and mid-recurrence score patients at risk for recurrence
Abstract Background: The 21-gene (Oncotype DX) recurrence score (RS) has been utilized as a prognostic assay in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) breast cancer. The results stratify patients into...
Prediction of Response to Neoadjuvant Therapy (NAT) in Early Breast Cancer (EBC) at Community Hospitals – SimBioSys® TumorScope(TM) Validation Study
Abstract While most cancer patients are treated at community hospitals, specialized equipment, diagnostic tests, and therapeutic regimens are generally validated at academic settings. Here we present a novel approach to precision medicine to improve outcomes in breast...
The case for simul-omics: identifying IO biomarkers of Ganitumab-Metformin pathological complete response (pCR)
Abstract Background: During the I-SPY2 clinical trial, ganitumab (G) immunotherapy (IO) was co-administered with metformin (GM) to counteract G-induced hyperglycemia. The GM + standard of care (SOC) combination showed promising results but did not meet the statistical...
Spatially-resolved single-cell HER2 tumor heterogeneity captured by biophysical modeling
Abstract: Breast cancer is a highly heterogeneous disease. Prognosis and treatment are usually decided based on the expression of 3 molecular markers; one being the human epidermal growth factor receptor 2 (HER2). Classification of HER2 tumors generally follows a...
Novel platform combines pathology and transcriptomics for a multi-scale analysis and visualization of the breast tumor heterogeneity
Abstract: Cancer heterogeneity is associated with drug resistance, risk of disease recurrence and metastasis. Pathology allows for the assessment of heterogeneity in the tumor. However, this assessment is limited to an overall assessment of the tumor microenvironment...
Prediction of Response to Neoadjuvant Therapy in Early-Stage Breast Cancer using a Biophysical Simulation Platform
Abstract: With the rapidly changing landscape of early-stage breast cancer, there is a significant need for upfront biomarkers to enable physicians to “right-size” therapy for patients. It is well known that tumor heterogeneity drives the variability of response to...
A multi-scale analysis and visualization platform for cancer data – deriving tumor microenvironment behavior from pathology and transcriptomics
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...
Whitepapers
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