You are here

Share:

Search Technologies

Showing 21-40 of 66 results found

Diagnostic Assays for the Detection of Thyroid Cancer

The Eunice Kennedy Shriver National Institute of Child and Human Development’s (NICHD) Pediatric Growth and Nutrition Branch seek partners to co-develop a diagnostic assay to detect thyroid cancer.

Diagnostic Marker for Improving Treatment Outcomes of Hepatitis C

NCI Researchers have discovered Interferon-lambda 4 (IFNL4), a protein found through analysis of genomic data. Preliminary studies indicate that this protein may play a role in the clearance of HCV and may be a new target for diagnosing and treating HCV infection. The National Cancer Institute (NCI) Division of Cancer Epidemiology and Genetics (DCEG) Immunoepidemiology Branch is seeking statements of capability or interest from parties interested in in-licensing or collaborative research to further co-develop a gene-based diagnostic for Hepatitis C virus (HepC, HCV).

Dual-Function Protein ATIA for Diagnostics and Therapeutics of Glioblastoma

Investigators at the NCI discovered an Anti-TNF Induced Apoptosis (ATIA) protein, which protects cells against apoptosis.  ATIA is highly expressed in glioblastoma and astrocytomas and its inhibition results in increased cell sensitivity to TNF-related apoptosis-inducing ligand induced cell death.  The National Cancer Institute seeks parties interested in licensing or collaborative research to further develop, evaluate, or commercialize glioblastoma diagnostics and therapeutics.

Gene Signature for Predicting Solid Tumors Patient Prognosis

The National Cancer Institute’s Laboratory of Human Carcinogenesis seeks parties to license or co-develop a method of predicting the prognosis of a patient diagnosed with hepatocellular carcinoma (HCC) or breast cancer by detecting expression of one or more cancer-associated genes, and a method of identifying an agent for use in treating HCC.

Gene-based Diagnostic Predicts Patient Response to Cancer Immunotherapy

Somatic mutations can alter the sensitivity of tumors to T-cell mediated immunotherapy. Identifying genes that positively regulate the sensitivity of cancer cells to T-cell mediated clearance is key for effective treatment in cancer patients. Researchers at the National Cancer Institute (NCI) have identified a panel of genes which are useful in predicting a patient’s response to immunotherapy. NCI seeks partners to co-develop or license the technology toward commercialization.

GTF2I Mutations as a Genetic Marker for Prognosis of Thymic Malignancies

Despite the growing number of biomarkers that are used for diagnosing and treating carcinomas in general, cancers of the thymus are still diagnosed, stratified and treated by a costly combination of histology, surgery and radiological procedures.  The lack of qualified biomarkers associated with thymomas and thymic carcinomas has also hampered the development of targeted therapies. The National Cancer Institute seeks partners interested in licensing or collaborative research to co-develop a prognostic PCR based test for thymic malignancies.

High-throughput Assay to Identify New Cancer Drugs

The National Cancer Institute seeks parties interested in collaborative research to evaluate or commercialize a diagnostic tool that can identify new drugs that increase chromosome instability.

Human Antibodies Against Middle East Respiratory Syndrome Coronavirus

The National Cancer Institute is seeking statements of capability or interest from parties interested in collaborative research to co-develop antibody-based therapeutic against MERS-CoV, including animal studies, cGMP manufacturing, and clinical trials.

Human T Cell Receptors for Treating Cancer

T cell receptors (TCRs) are proteins that recognize antigens in the context of infected or transformed cells and activate T cells to mediate an immune response and destroy abnormal cells. The National Cancer Institute's Surgery Branch seeks interested parties to license or co-develop the use of T cell receptors (TCRs) cloned against the SSX-2 antigen for the treatment of cancer.

MADCO-Accelerated Multidimensional Diffusion MRI

The marginal distribution constrained optimization (MADCO) methodology is disclosed wherein a 2D (or higher-dimensional) spectrum is estimated from initial 1D marginal distribution data. These 1D marginal distributions are used as constraints in the reconstruction of the 2D spectra. MADCO accelerates and improves the reconstruction of multidimensional NMR relaxation/diffusion spectra, making it suitable for MRI applications on a voxel-by-voxel basis by vastly reducing the amount of data acquired and data necessary for creating MRI images.

Method and Device for Selectively Labeling RNA

The National Cancer Institute's Structure Biophysics Lab seeks partners interested in licensing or co-developing a technology to site-specifically label RNA.

Pages