Researchers at the NCI have developed a method of genetically engineering lymphocytes to expressed elevated levels of cytokine proteins. This technology is useful for improving cellular adoptive immunotherapies to treat a range of infectious diseases and cancers.
The present invention describes novel virus-like particles (VLPs) that are capable of binding to and replicating within a target mammalian cell, including human cells. The claimed VLPs are safer than viral delivery because they are incapable of re-infecting target cells. The National Cancer Institute's Protein Expression Laboratory seeks parties interested in licensing the novel delivery of RNA to mammalian cells using virus-like particles.
The National Cancer Institute's Molecular Targets Development Program is seeking parties interested in collaborative research to further develop, evaluate, or commercialize cancer inhibitors isolated from the African plant Phyllanthus englerii. The technology is also available for exclusive or non-exclusive licensing.
The National Cancer Institute's Surgery Branch is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize a potential cancer therapeutic based on T cells genetically engineered to express the human interleukin 12 (IL-12) cytokine only in the tumor environment.
To improve the therapeutic effectiveness of PE-based immunotoxins through multiple rounds of drug administration, NIH inventors have sought to identify and remove the human B cell epitopes within PE. Previous work demonstrated that the removal of the murine B cell and T cell epitopes from PE reduced the immunogenicity of PE and resulted in immunotoxins with improved therapeutic activity. The National Cancer Institute's Laboratory of Molecular Biology seeks interested parties to co-develop and commercialize immunotoxins using toxin domains lacking human B cell epitopes.
The National Cancer Institute seek parties interested in in-licensing and/or collaborative research to develop and commercialize cell labeling, cell tracking, cell trafficking, cell-based therapy, and PET imaging for cancer.
IFN-gamma and IL-10 are cytokine signaling molecules that play fundamental roles in inflammation, cancer growth and autoimmune diseases. Unfortunately, there are no specific inhibitors of IFN-gamma or IL-10 on the market to date. The National Cancer Institute seeks parties interested in licensing or collaborative research to co-develop selective IL-10 and IFN-gamma peptide inhibitors.
The Section on Translational Neuroscience of NICHD seeks parties interested in licensing and/or collaborative research to co-develop this therapeutic management of Menkes Disease and related copper transport disorders.
Alterations in microRNAs (miRNAs), a type of small non-coding RNAs, have been reported in cells/tumors subjected to radiation exposure, implying that miRNAs play an important role in cellular stress response to radiation. NCI researchers evaluated small non-coding RNAs, long non-coding RNAs (lncRNA), and mRNA, as potential non-invasive biomarkers for radiation biodosimetry. The NCI Radiation Oncology Branch seeks parties interested in licensing or co-development of RNA biomarker signature(s) for radiation biodosimetry.
NCI's Center for Advanced Preclinical Research (CAPR) has developed a Serous Epithelial Ovarian Cancer (SEOC) genetically engineered mouse model (GEM), GEM-derived SEOC orthotopic mouse model, and biological materials derived therefrom, with several key histopathologic, immunophenotypical, and genetic features of human SEOC. NCI CAPR seeks licensees for this technology.
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.
Computer automated segmentation of high variability organs and disease features in medical images is uniquely difficult. The application of deep learning and specialized neural networks may allow for automation of such interpretation tasks that are currently only performed by trained physicians. Computer automation may improve image analysis capabilities and lead to better diagnostics, disease monitoring, and surgical planning for many diseases. To help solve this challenge, researchers at the National Institutes of Health Clinical Center (NIHCC) have developed a technology that trains a computer to read and segment certain highly variable image features.
The National Cancer Institute Laboratory of Molecular Biology is seeking statements of capability or interest from parties interested in licensing or collaborative research to further develop, evaluate, or commercialize antibody-based treatments of mesothelin-expressing cancers.