Finding the right patients for the right treatments and vice versa.
Rare Cancers
Rare cancers are in fact not so rare. 20-25% of all cancers are rare, with over 500 rare cancers affecting more than 7 million people in the EU and US alone. The major challenges for patients and doctors are finding the right treatments and clinical trials, while for pharma companies it's a major challenge to find the right patients for clinical trials, and understanding how existing drugs can be repositioned, or identifying new drug targets. Most rare cancers do not have approved treatments, and many are treated with off-label or non-approved drugs. Information locked inside the patient's medical records when combined with BioXplor's broader oncology knowledgebase can be used to find new insights on rare cancer patients and there response to existing treatments, to better select the right patients for clinical trials, and to support repositioning of existing drugs or discovery of new drug targets for rare cancers with unmet medical needs.
Rare Cancers
BioXplor applies it's data-driven platform to accelerate and derisk drug repositioning including combination drug candidates. Patient data is required to match treatments to responder populations. Drugs are identified and assessed for licensing potential before being prioritized for preclinical validation in cell and animal models. To achieve this, BioXplor partners with rare disease patient groups, academic teams and pharmaceutical companies. BioXplor works with patients to collect data from electronic medical records, genomics sequencing results, patient reported insights and wearables data via a custom designed rare disease-specific patient app.
Partnership Program
As part of an ongoing collaboration with Prof. Jody J. Haigh's cancer research group at the Department of Therapeutics and Pharmacology at the University of Manitoba / CancerCare Manitoba. We are studying predicted novel drug combinations in Leukemia. In the case study shown, BioXplor applied it's network pharmacology system to predict a list of novel drug combinations not formerly shown to have synergy in Acute Luymphoblastic Leukemia. Our team prioritized a novel drug combination with strong supporting evidence to modulate the known disease causing proteins, including BCL-2 and Notch signalling. The prioritized combination has previously been approved in Multiple Myeloma. This predicted novel drug combination was validated by showing synergy in vitro in mature T-ALL cells as per figure.
Case Study - Leukemia Drug Combinations
