Mouse Model for the Preclinical Study of Metastatic Disease

The successful development of new cancer therapeutics requires reliable preclinical data that are obtained from mouse models for cancer. Human tumor xenografts, which require transplantation of human tumor cells into an immune compromised mouse, represent the current standard mouse model for cancer. Since the immune system plays an important role in tumor growth, progression and metastasis, the current standard mouse model is not ideal for accurate prediction of therapeutic effectiveness in patients.

Nanoparticles for the targeted treatment of infected cells

Current treatments for cancer and viral infection are limited remedies that often suppress cell or viral replication rather than eliminate diseased cells entirely from the body. A further limitation is that these therapies often compromise healthy cells as well, leaving problems of recurrence and side effects.

Researchers at developed a novel therapeutic nanoparticle (NP) system harboring therapeutic small siRNA that can significantly enhance effectiveness and specificity of treatments by killing diseased cells.

Assay to Screen Anti-metastatic Drugs

Scientists at the NCI developed a research tool, a murine cell line model (JygMC(A)) with a reporter construct, of spontaneous metastatic mammary carcinoma that resembles the human breast cancer metastatic process in a triple negative mammary tumor. The assay is useful for screening compounds that specifically inhibit pathways involved in mammary carcinoma and can improve clinical management of of triple negative breast cancer that are greatly refractory to conventional chemo and radiotherapy.

Novel Regulatory B cells for Treatment of Cancer and Autoimmune Disease

The manner by which cancers evade the immune response is not well-understood. What is known is that the manner is an active process that regulates immune responses employing at least two types of suppressive cells, myeloid-derived suppressive cells and regulatory T cells (Tregs), a key subset of CD4+ T cells that controls peripheral tolerance to self- and allo-antigens. Tregs are considered to play a key role in the escape of cancer cells from anti-tumor effector T cells.

3D Image Rendering Software for Biological Tissues

Available for commercial development is software that provides automatic visualization of features inside biological image volumes in 3D. The software provides a simple and interactive visualization for the exploration of biological datasets through dataset-specific transfer functions and direct volume rendering. The method employs a K-Means++ clustering algorithm to classify a two-dimensional histogram created from the input volume. The classification process utilizes spatial and data properties from the volume.

Assays for Measuring and Quantifying DNA Damage

Exposure to ionizing radiation or agents that induce DNA double-stranded breaks (DSBs), which is one of the most damaging types of lesions in DNA, can result in damage to cells and/or tissues.  Thiscan lead to illness (i.e., Acute Radiation Syndrome, Cancer) or death.  Identifying the amount of exposure to a DNA DSB-causing agent can be useful in determining the need for further testing, avoidance or modification of certain medical procedures, and/or types of medical treatments.

Method for Targeted Therapeutic Delivery of Proteins into Cells

Current methods to deliver proteins into cells (e.g., using retrovirus, DNA transfection, protein transduction, microinjection, complexing the protein with lipids, etc.) have many shortcomings, such as lack of target specificity toxicity, or unwanted random integration into the host chromosome.  Protein transduction is an emerging technology for delivering proteins into cells by exploiting the ability of certain proteins to penetrate the cell membrane.  However, the majority of the proteins delivered by this means are usually trapped and subsequently degraded in the endosomes-lyso