Since joining the Surgery Branch, my laboratory has successfully developed a novel high throughput methodology to isolate and expand low frequency, high avidity antigen specific CD8+ T cells from peripheral blood. This technique utilizes a highly sensitive PCR based screening assay that can detect the reactivity of rare T cells in a bulk population. Utilizing this approach, after approximately one week of culture, we have been able to prospectively detect T cells from the natural peripheral blood repertoire of melanoma patients that recognize the gp100154-162 epitope from the gp100 antigen, a process that would have been exceedingly difficult and time consuming with conventional repetitive in vitro stimulation techniques. These cells were then isolated and characterized to possess high avidity for the gp100154-162 epitope, an early effector memory phenotype with high surface expression of CD27, and were generated in the setting of limited antigen and IL-2 exposure. We have translated these findings to the design of a phase II clinical trial transferring gp100154-162 reactive lymphocytes to patients with metastatic melanoma. In parallel studies, we have applied this platform to the robust isolation of CD8+ T cells that recognize the cancer-testes antigen, NY-ESO, which is expressed in melanoma, breast cancer, prostate cancer, and to varying degrees in bladder, lung, hepatocellular, ovarian, and thyroid cancers. Future plans include the clinical transfer of lymphocytes that recognize the NY-ESO157-165 epitope, which would extend our current studies of adoptive immunotherapy to a variety of common malignancies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Intramural Research (Z01)
Project #
1Z01BC010766-01
Application #
7592915
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
2007
Total Cost
$684,659
Indirect Cost
Name
National Cancer Institute Division of Basic Sciences
Department
Type
DUNS #
City
State
Country
United States
Zip Code