Prostate cancer is the most common male cancer in the United States, and the third most common worldwide. Prostate biopsies are often performed to confirm a cancer diagnosis and examine suspect tissue. Prostate biopsies are most often performed under transrectal ultrasound imaging (TRUS) guidance. TRUS images in real-time, at relatively low cost, and shows both prostate and boundaries. However, major problems with TRUS imaging are poor spatial resolution and low sensitivity for cancer detection.

Human Papilloma Viruses (HPV) is a very common virus; nearly 80 million people—about one in four—are currently infected in the United States. HPV is a group of more than 150 related viruses. Each HPV virus in this large group is given a number which is called its HPV type. HPV is named for the warts (papillomas) some that HPV types can cause. Some other HPV types can lead to cancer, especially cervical cancer.

The National Cancer Institute’s Protein Expression Laboratory seeks parties to co-develop dual luminescent/fluorescent cancer biomarkers.

In research settings, visualization of  tumors or tumor cells is often done using either bioluminescence or fluorescence.  However, both of these methods have shortcomings: bioluminescence is not sensitive enough to sort individual tumor cells, and fluorescence cannot be used effectively to view internal tumors and is best used with surface tumors.

Traumatic brain injury (TBI) is a major health problem.  Between 3.2 and 5.3 million people live with long-term disabilities resulting from TBI, and thus, contribute to the need to develop therapies that treat TBI-induced cellular damage. Researchers at the National Institute of Child Health and Human Development (NICHD) have developed a device that simulates the pressure waves resulting from explosions.

Tailoring the best treatments to cancer patients remains a highly important endeavor in the oncology field. However, personalized treatment courses are challenging to determine, and technologies or methods that can successfully be employed for precision oncology are lacking.

Medical image datasets are an important clinical resource. Effectively referencing patient images against similar related images and case histories can inform and produce better treatment outcomes. Labeling and identifying disease features and relations between images within a large image database has not been a task capable of automation. Rather, it is a task that must be performed by highly trained clinicians who can identify and label the medically meaningful image features.

The National Cancer Institute''s Laboratory of Cell Biology is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize bodipy conjugated tyrosine kinase inhibitors that are currently used in the clinic for the treatment of CML or gastric cancers. We are also interested in evaluating third generation tyrosine kinase inhibitor derivatives as modulators of ABC drug transporters to improve the efficiency of chemotherapy in animal (mouse) model system.

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This results in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.

Vaccines have become one of the most important tools in the fight against cancers and infectious diseases. However, some vaccines have shown limitations due to their high cost and low immune responses. To overcome these limitations, bacteriophages were proposed for the development of more cost-effective, immunogenic vaccines. Phages have shown a strong ability to activate induced and adaptive immune systems. The genome of these viral particles can be engineered, and their surface proteins can be exploited for antigen display.

The National Cancer Institute (NCI) seeks parties to license software for modeling the targeted delivery of anti-cancer agents in solid tumors.

The software models the permeability and concentration of intravenously administered antibody anti-cancer agent conjugates in solid tumors.  The models can be used to determine optimal dosing regimen of a therapeutic in a particular cancer type.  Thirty factors that affect delivery rates and efficiencies are analyzed as variables in generating the models.