
The use of cytolytic effector cells as therapy for malignant disease has been a central focus of basic and clinical research for nearly 2 decades. Since the original descriptions of in vitro lymphocyte-mediated cytotoxicity against human tumor cells, there have been numerous attempts to exploit such observations for therapeutic use, with decidedly mixed results. Most studies have focused on the role of either natural killer cells or cytotoxic CD8 + alphabeta T cells as the primary mediators of antitumor cytotoxicity, and until recently little attention has been paid to the role of gammadelta T cells in this capacity. This is partially due to a lack of understanding of the mechanisms of gammadelta T-cell immune responses to tumors, as well as the practical problem of obtaining a sufficient number of gammadelta T cells for clinical-scale administration. In this article, we discuss the biological and clinical rationale for developing gammadelta T cell-based immunotherapies for the treatment of a variety of malignant conditions. It is our view that infusing supraphysiological numbers of tumor-reactive gammadelta T cells-either in the autologous or allogeneic setting-might be used to restore or augment innate immune responses against malignancies. Accordingly, we will also discuss how we and others are working to overcome some of the practical limitations that have so far limited the direct clinical delivery of highly purified human gammadelta T cells for the treatment of both hematologic and solid tumors.
Lymphocyte Transfusion, Neoplasms, Hematopoietic Stem Cell Transplantation, Humans, Receptors, Antigen, T-Cell, gamma-delta, Immunotherapy, Adoptive, T-Lymphocytes, Cytotoxic
Lymphocyte Transfusion, Neoplasms, Hematopoietic Stem Cell Transplantation, Humans, Receptors, Antigen, T-Cell, gamma-delta, Immunotherapy, Adoptive, T-Lymphocytes, Cytotoxic
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 69 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
