On December 1, 2021 SimBioSys, the technology company that predicts tumor responses to therapy, reported that new research on the accuracy and specificity of their simulation software, TumorScope, for breast cancer treatment planning during the 2021 San Antonio Breast Cancer Symposium (SABCS) (Press release, SimBioSys, DEC 1, 2021, View Source [SID1234596358]). The studies covering eight separate posters at SABCS are based on data from both internal and external validation studies of SimBioSys’ proprietary platform. The results include biophysical simulations of neoadjuvant therapy (a preliminary step to begin shrinking a tumor); biological drivers for different racial groups including African Americans vs Caucasians; prognostic responses to identify the patients who will, or will not, benefit from various chemotherapies; and characterization of the tumor’s microenvironment.

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TumorScope is a first-of-its-kind platform combining artificial intelligence with biophysical simulations to model the impact of phenomena such as drug delivery, metabolism, and spatial heterogeneity in a comprehensive model using standard-of-care data alone. The results are generated within minutes, enabling physicians to make a well-informed decision while improving patient experience and shared decision-making. In addition, the technology can support the drug development process across pre-clinical and clinical trial settings.

"Breast cancer continues to be at the forefront of the precision medicine movement, and yet clinicians have been unable to individualize care for patients. Beyond our clinical utility in treatment selection, we are excited to expand TumorScope for use in biopharma for clinical trial optimization and biomarker identification," said John Cole, Ph.D., Chief Scientific Officer at SimBioSys. "Having eight posters accepted at the SABCS speaks to the breadth of our platform. We are proud of the work and the results that our multidisciplinary R&D team has accomplished in breast cancer."

Key SimBioSys studies from the symposium include:

Virtual replication of the NeoSphere trial using SimBioSys TumorScope: Associating standard of care data with clinical outcomes in HER2 positive breast cancer patients to garnish novel insights in silico
Brief Summary: Matched analysis using SimBioSys virtual tumor bank (3000+ patient tumors) and the Neosphere trial created an in silico virtual clinical trial of 144 HER2+ breast cancer patients. TumorScope biophysical simulations were able to predict equivalent rates of pCR and disease progression to the Neosphere trial. In the near future, virtual clinical trials may curtail the need for real-world clinical trials, enabling more efficient drug discovery. (Date/time: Wednesday, 12/8, 5:00 pm – 6:30 pm CT.)
SimBioSys TumorScope: Biophysical modeling of patient-specific response to chemotherapy
Brief Summary: TumorScope constructed 3D in silico tumor models from patient’s pretreatment DCE-MRIs through the combination of a spatial model with vascular data, tumor metabolism, pharmacokinetic and pharmacodynamic models. Validation was performed across 780 breast cancer patients (n=480 with EFS data available). Tumor volumetric response predictions were calculated with an error rate 0.03% and a mean absolute deviation of 8.2% in patients that underwent neoadjuvant chemotherapy. (Date/time: Wednesday, 12/8, 7:00 am – 8:30 am CT.)
Evaluation of the prognostic accuracy of SimBioSys TumorScope in early breast cancer
Brief Summary: Blinded study conducted prospectively using retrospective data with the University of Chicago (n=141) for patients who received neoadjuvant chemotherapy for early stage breast cancer. TumorScope accurately predicted event free survival in patients, comparable to the predictive accuracy of pCR. TumorScope demonstrates utility in guiding escalation and de-escalation of treatment regimens. (Date/time: Thursday, 12/9, 5:00 pm – 6:30 pm CT.)
A transdisciplinary approach for characterizing racial differences in the biology of breast cancer by integrating imaging and -omics data
Brief Summary: Using imaging and transcriptomic data from over 500 patients, TumorScope biophysical modeling software demonstrates how multi-modal imaging and systems biology models of patient tumors shed light on metabolic features that drive differences in response between African American and Caucasian tumors. The data assists with understanding chemotherapeutic drug responses (high spatial heterogeneity of drug delivery and secretion) and improving clinical management. (Thursday, 12/9, 7:00 am – 8:30 am CT.)