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Methods of analyzing virus-derived therapeutics

Researchers at the National Cancer Institute’s Biopharmaceutical Development Program recently developed massively parallel sequencing methods for virus-derived therapeutics such as viral vaccines and oncolytic immunotherapies, for which the NCI seeks licensees or co-development collaborations.

Anti-CD133 Monoclonal Antibodies as Cancer Therapeutics

Researchers at NCI developed a rabbit monoclonal antibody that recognizes the marker for CD133 and is useful in pharmacodynamic testing to inform targeted anti-cancer chemotherapy development and clinical monitoring. CD133 is a cell surface glycoprotein used as a marker and expressed in stem cells such as hematopoietic stem cells, endothelial progenitor cells and neural stem cells. The NCI seeks collaborative co-development or licensing partners for this technology.

Diagnostic Assay for Determining Patient Response to Apoptosis-related Cancer Therapy

Researchers at the National Cancer Institute (NCI) developed a multiplex assay to determine the efficacy of apoptosis-related drugs targeting the Bcl2 family of proteins or aid in the selection of cancer patients likely to respond. The NCI seeks partners for co-development or licensees for commercialization of novel immunoassays for determining or predicting patient response to cancer therapy.

CytoSig: A Software Platform for Predicting Cytokine Signaling Activities, Target Discovery, and Clinical Decision Support System (CDSS) from Transcriptomic Profiles

Scientists at the National Cancer Institute (NCI) have developed the Cytokine Signaling Analyzer (CytoSig), a software-based platform that provides both a database of target genes modulated by cytokines and a predictive model of cytokine signaling cascades from transcriptomic profiles. NCI seeks collaborators or licensees to advance the development of CytoSig for research, target discovery, or as a Clinical Decision Support System (CDSS).