Award
Portfolio Data
CONCEPT SBIR - T-CELL RECEPTORS FOR TREATING PEDIATRIC ACUTE MYELOID LEUKEMIA
Award Year: 2024
UEI: TDGANH2K4J93
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Congressional District: 18
Tagged as:
SBIR
Phase I
Awarding Agency
HHS
Branch: NIH
Total Award Amount: $355,000
Contract Number: 75N91024C00001
Agency Tracking Number: 75N91024C00001-0-9999-0
Solicitation Topic Code: NCICA24
Solicitation Number: 75N91023R00034
Abstract
More than 30% of children diagnosed with acute myeloid leukemia (AML) relapse after initial treatment, creating an urgent need for new treatment options. T-cell receptor (TCR) based therapies are a promising way to combat these cases due to their ability to target intracellular antigens that other therapies can’t reach. This proposal describes an approach to discover a set of known and novel AML-specific targets and new TCR drug candidates. A novel library-vs-library screening method will be used to screen repertoires of donor T-cells against 30 AML targets simultaneously for functional activation, with resolution of TCR-target interaction at the single-cell level. Beyond previously validated targets, novel AML targets will be selected across common MHC alleles for expression and presentation. Potential relationships between TCRs and AML targets can be identified through the analysis of single-cell sequencing data, and the most promising TCR candidates from the screen can be validated using gold-standard T cell assays. If successful, the TCRs identified by this proposal can be further developed into therapies for AML. Given the flexibility of TCRs, the method described in this proposal can also be applied to other cancers that lack treatment options for patients who fail frontline therapies.
Award Schedule
-
2024
Solicitation Year -
2024
Award Year -
Award Start Date -
Award End Date
Principal Investigator
Name: BINBIN CHEN
Phone: (706) 594-5091
Email: binbin@vcreate.io
Business Contact
Name: Binbin Chen
Phone: (706) 594-5091
Email: binbin@vcreate.io
Research Institution
Name: N/A