Regression of human kidney cancer following allogeneic stem cell transplantation is associated with recognition of an HERV-E antigen by T cells.

Published

Journal Article

Transplanted donor lymphocytes infused during hematopoietic stem cell transplantation (HSCT) have been shown to cure patients with hematological malignancies. However, less is known about the effects of HSCT on metastatic solid tumors. Thus, a better understanding of the immune cells and their target antigens that mediate tumor regression is urgently needed to develop more effective HSCT approaches for solid tumors. Here we report regression of metastatic renal cell carcinoma (RCC) in patients following nonmyeloablative HSCT consistent with a graft-versus-tumor effect. We detected RCC-reactive donor-derived CD8(+) T cells in the blood of patients following nonmyeloablative HSCT. Using cDNA expression cloning, we identified a 10-mer peptide (CT-RCC-1) as a target antigen of RCC-specific CD8(+) T cells. The genes encoding this antigen were found to be derived from human endogenous retrovirus (HERV) type E and were expressed in RCC cell lines and fresh RCC tissue but not in normal kidney or other tissues. We believe this to be the first solid tumor antigen identified using allogeneic T cells from a patient undergoing HSCT. These data suggest that HERV-E is activated in RCC and that it encodes an overexpressed immunogenic antigen, therefore providing a potential target for cellular immunity.

Full Text

Duke Authors

Cited Authors

  • Takahashi, Y; Harashima, N; Kajigaya, S; Yokoyama, H; Cherkasova, E; McCoy, JP; Hanada, K-I; Mena, O; Kurlander, R; Tawab, A; Srinivasan, R; Lundqvist, A; Malinzak, E; Geller, N; Lerman, MI; Childs, RW

Published Date

  • March 2008

Published In

Volume / Issue

  • 118 / 3

Start / End Page

  • 1099 - 1109

PubMed ID

  • 18292810

Pubmed Central ID

  • 18292810

Electronic International Standard Serial Number (EISSN)

  • 1558-8238

International Standard Serial Number (ISSN)

  • 0021-9738

Digital Object Identifier (DOI)

  • 10.1172/JCI34409

Language

  • eng