Cellworks Personalized Therapy Biosimulation Study Identifies Novel Biomarkers Predictive of Response in AML Patients

Cellworks Group, Inc., a world leader in Personalized Medicine in the key therapeutic areas of Oncology and Immunology, today announced results from a clinical study using the Cellworks Biosimulation Platform and Computational Omics Biology Model (CBM) to predict therapy response for individual Acute Myeloid Leukemia (AML) patients were featured in a poster presentation at the 63rd American Society of Hematology (ASH) Annual Meeting and Exposition held December 11-14, 2021 in Atlanta, Georgia. The complete results from this study are available online in the ASH Meeting Library as Abstract 1299.

In the study, the Cellworks Biosimulation Platform and CBM was used to assess cytarabine (ARA-C) and anthracycline response and novel biomarker response criteria for the addition of etoposide (VP16) in AML. The study found that Cellworks biosimulation identifies novel biomarkers that predict therapy response in AML patients, which offers the opportunity to tailor FDA-approved chemotherapy regimens to each patient to improve disease control and minimize toxicity. In addition, biosimulation is emerging as an essential tool to improve the success rate of clinical trials and speed the development of lifesaving medicines for the patients that need them.

“From comprehensive genomic inputs, the Cellworks Biosimulation Platform identifies pathway based polygenic biomarkers that predict the efficacy of novel drug combinations and new drugs for AML patients,” said Dr. Michael Castro, MD, Chief Medical Officer at Cellworks. “Cellworks AML biomarker identification and therapy response prediction capabilities should accelerate clinical trials for new therapies and improve trial success rates by predicting if a patient’s genomic profile will respond to specific regimens. Biosimulation has the ability to improve outcomes for patients, avoid drugs that produce only toxicity and extend the reach of precision medicine in the clinic.”

The Cellworks Biosimulation Platform simulates how a patient`s personalized genomic disease model will respond to therapies prior to treatment and identifies novel drug combinations for treatment-refractory patients. The platform is powered by the groundbreaking Cellworks Computational Omics Biology Model (CBM), a network of 4,000+ human genes, 30,000+ molecular species and 100+ signaling pathways. By reliably predicting an individual patient’s therapy response prior to receiving the treatment, the Cellworks Platform can guide the selection of the optimal treatment, help patients avoid ineffective therapies and improve patient outcomes.