Business Description

Overview We are a technology-enabled research organization engaged in creating technology solutions to be utilized in drug discovery and development. Our research center operates in both regulatory and non-regulatory environments and consists of a comprehensive set of computational and experimental research platforms. Our pharmacology, biomarker, and data platforms are designed to facilitate drug discovery and development at lower costs and increased speeds. At the core of our research platforms is our unique, proprietary bank of Patient Derived Xenograft (PDX) models. This preeminent bank of PDX models is deployed into advanced in vivo and ex vivo pharmacology platforms, providing an enhanced level of insight into therapeutic programs. We currently have approximately 1,500 PDX Models in our TumorBank that we believe reflect the characteristics of patients who enroll in clinical trials (late stage, pretreated and metastatic). This characteristic of our TumorBank is an important differentiator to other established PDX banks. We implant and expand these tumors in mice, which allows for future studies and additional characterization of the tumor. Additional analytical and pharmacology experimental platforms are also available to augment the information gained from studies performed. The PDX bank is highly characterized at the molecular, phenotypic and pharmacological levels, which provides a differentiated layer of data for our large oncology dataset (the "Datacenter"). The Datacenter combines our proprietary dataset with other large publicly available datasets. This dataset currently includes approximately 3,500 molecular datasets (genomics, transcriptomics, proteomics, phosphor-proteomics), approximately 3,000 clinical drug responses, approximately 3,500 in vivo drug responses, and the accompanying clinical information on the patients from which they were derived (pre and post tumor sample acquisition of drug treatments and responses, age, gender, ethnicity, tumor stage, tumor grade, location of tumor biopsy, histology, etc.) derived from our TumorBank. One unique feature of this proprietary dataset is the fact that it is derived from a living TumorBank. This allows us to continue characterizing the TumorBank over time and increase the depth of characterization of the accumulated data. The combination of the breadth and depth of the TumorBank, and associated characterization, drives the value of our Datacenter. The Datacenter also includes approximately 20,000 publicly available datasets including genomics, transcriptomics, proteomics, and functional genomics, and patient outcome. This Datacenter facilitates our computational approach to drug discovery and provides the foundation to our Software as a Service ("SaaS") offerings. Collectively, our computational and experimental research platforms enable a more rapid and precise approach to drug discovery and development. Through our technology platforms, we have designed an ecosystem of business lines consisting of: • The sale of research services utilizing our innovative research platforms to biopharmaceutical companies • The sale of PDX model data and oncology research SaaS tools to cancer research scientists • The discovery and development of novel oncology therapeutics 2 Translational Oncology Solutions (TOS) Business Research Services Our research services utilize our research center to assist pharmaceutical and biotechnology companies with their drug development process. We perform studies which we believe may predict the efficacy of experimental oncology drugs or approved drugs as stand-alone therapies or in combination with other drugs and can simulate the results of human clinical trials. These studies include in vivo studies that rely on implanting multiple tumors from our TumorBank in mice and testing the therapy of interest on these tumors. Studies may also include bioinformatics analysis that reveal the differences in the genetic signatures of the tumors that responded to a therapy as compared to the tumors that did not respond. Our studies can be used to determine which types of cancer, if any, may be inhibited by a drug. The studies can also be used to identify specific sub-populations, often characterized by particular genetic mutations that are differentially sensitive or resistant to a drug or drug combination.…