| Chapter title |
The Past, Present, and Future of NK Cells in Hematopoietic Cell Transplantation and Adoptive Transfer.
|
|---|---|
| Chapter number | 445 |
| Book title |
Natural Killer Cells
|
| Published in |
Current topics in microbiology and immunology, June 2015
|
| DOI | 10.1007/82_2015_445 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-923915-6, 978-3-31-923916-3
|
| Authors |
Cichocki, Frank, Verneris, Michael R, Cooley, Sarah, Bachanova, Veronika, Brunstein, Claudio G, Blazar, Bruce R, Wagner, John, Schlums, Heinrich, Bryceson, Yenan T, Weisdorf, Daniel J, Miller, Jeffrey S, Frank Cichocki, Michael R. Verneris, Sarah Cooley, Veronika Bachanova, Claudio G. Brunstein, Bruce R. Blazar, John Wagner, Heinrich Schlums, Yenan T. Bryceson, Daniel J. Weisdorf, Jeffrey S. Miller, Verneris, Michael R., Brunstein, Claudio G., Blazar, Bruce R., Bryceson, Yenan T., Weisdorf, Daniel J., Miller, Jeffrey S. |
| Abstract |
Hematopoietic cell transplantation (HCT) has been used as a part of cancer therapy for over half a decade. Beyond the necessity for donor-derived cells to reconstitute hematopoiesis after radiation and chemotherapy, immunologic reconstitution from allogeneic cells is important for the elimination of residual tumor cells. Natural killer (NK) cells are first among lymphocytes to reconstitute post-transplant and protect against cancer relapse. In this review, we provide a historical perspective on the role of NK cells in cancer control in the transplant setting and focus on current research aimed at improving NK cell responses for therapeutic benefit. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Researcher | 6 | 15% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 21% |
| Agricultural and Biological Sciences | 5 | 13% |
| Immunology and Microbiology | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Computer Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 31% |