Clinical Studies on Cytokine-Induced Killer Cells: Lessons from Lymphoma Trials
- Cancer is a complex disease where resistance to therapies and relapses often pose a serious clinical challenge. The scenario is even more complicated when the cancer type itself is heterogeneous in nature, e.g., lymphoma, a cancer of the lymphocytes which constitutes more than 70 different subtypes. Indeed, the treatment options continue to expand in lymphomas. Herein, we provide insights into lymphoma-specific clinical trials based on cytokine-induced killer (CIK) cell therapy and other pre-clinical lymphoma models where CIK cells have been used along with other synergetic tumor-targeting immune modules to improve their therapeutic potential. From a broader perspective, we will highlight that CIK cell therapy has potential, and in this rapidly evolving landscape of cancer therapies its optimization (as a personalized therapeutic approach) will be beneficial in lymphomas.
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| Document Type: | Article |
|---|---|
| Language: | English |
| Author: | Ying Zhang, Amit Sharma, Hans Weiher, Matthias Schmid, Glen Kristiansen, Ingo G. H. Schmidt-Wolf |
| Parent Title (English): | Cancers |
| Volume: | 13 |
| Issue: | 23 |
| Article Number: | 6007 |
| Number of pages: | 13 |
| ISSN: | 2072-6694 |
| URN: | urn:nbn:de:hbz:1044-opus-60290 |
| DOI: | https://doi.org/10.3390/cancers13236007 |
| PMID: | https://pubmed.ncbi.nlm.nih.gov/34885117 |
| Publisher: | MDPI |
| Place of publication: | Basel |
| Publishing Institution: | Hochschule Bonn-Rhein-Sieg |
| Date of first publication: | 2021/11/29 |
| Copyright: | © 2021 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. |
| Funding Information: | This review article received no external funding. |
| Keyword: | clinical study; cytokine-induced killer cells; immunotherapy; lymphoma |
| Departments, institutes and facilities: | Fachbereich Wirtschaftswissenschaften |
| Institut für funktionale Gen-Analytik (IFGA) | |
| Dewey Decimal Classification (DDC): | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
| Entry in this database: | 2021/12/09 |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |
