SBIR/STTR Research Award
New Animal Model for Human Tumor Cell Xenograft
Award amount
$203,509Program and phase
SBIR · Phase IAward year
2001Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- PHYLONIX PHARMACEUTICALS, INC.
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
DESCRIPTION (provided by applicant): Using zebrafish (danio rerio), this SBIR
proposal aims to develop an alternative whole animal model for assessing
proliferation of human cancer cells and determining the effectiveness of
potential drug candidates. The mouse is currently the model system of choice
for assessing cell proliferation. Assay period, however, is typically 3-4
months because tumor development takes up to two weeks and animal survival
times vary. To avoid cell rejection, Nude or SCID mice (immunosuppressed mice)
are used; however, these mice are expensive to develop and maintain and are
less hardy than normal mice. A further disadvantage of the mouse model is that
a large number of cells per injection are required to generate a tumor. This
requirement poses a problem because it is often difficult to procure large
numbers of viable cells from primary tumors. In contrast, the zebrafish model
requires only small numbers of cells for xenografting, and tumor formation and
cell movement are easily monitored in the transparent embryo. Using cells from
a variety of tissues, Phase I research will evaluate the utility of the
zebrafish model for assaying cell proliferation. Using a panel of common
chemotherapeutics, Phase I research will also assess its utility for drug
screening.
PROPOSED COMMERCIAL APPLICATION:
By providing a rapid and inexpensive method for screening drug effects on cancer cell
proliferation, the zebrafish assay will facilitate drug development of cancer therapeutics.
The worldwide markets for drug screening is estimated at $700M.
Technology keywords
Not reported