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Raza A, Rossi GR, Janjua TI, Souza-Fonseca-Guimaraes F, Popat A. Nanobiomaterials to modulate natural killer cell responses for effective cancer immunotherapy. Trends Biotechnol 2023; 41:77-92. [PMID: 35840426 DOI: 10.1016/j.tibtech.2022.06.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 06/08/2022] [Accepted: 06/17/2022] [Indexed: 02/06/2023]
Abstract
Natural killer (NK) cells have emerged as a major target for cancer immunotherapies, particularly as cellular therapy modalities because they have relatively less toxicity than T lymphocytes. However, NK cell-based therapy suffers from many challenges, including problems with its activation, resistance to genetic engineering, and large-scale expansion needed for therapeutic purposes. Recently, nanobiomaterials have emerged as a promising solution to control the challenges associated with NK cells. This focused review summarises the recent advances in the field and highlights current and future perspectives of using nanobiomaterials to maximise anticancer responses of NK cells for safe and effective immunotherapy. Finally, we provide our opinion on the role of smart materials in activating NK cells as a potential cellular therapy of the future.
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Affiliation(s)
- Aun Raza
- School of Pharmacy, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Gustavo Rodrigues Rossi
- University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Taskeen Iqbal Janjua
- School of Pharmacy, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | | | - Amirali Popat
- School of Pharmacy, The University of Queensland, Woolloongabba, QLD 4102, Australia.
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Chen C, Chen Z, Huang L, Zhou L, Zhu L, Liu S, Luo G, Li W, Zeng C, Li Y. TNFAIP3 mutation may be associated with favorable overall survival for patients with T-cell lymphoma. Cancer Cell Int 2021; 21:490. [PMID: 34526012 PMCID: PMC8444556 DOI: 10.1186/s12935-021-02191-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/03/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND T-cell lymphoma (TCL) is highly aggressive and has a poor prognosis; thus, it is worth exploring biomarkers that may predict clinical outcomes and investigate their potential role in developing targeted therapies. In this study, we characterized the mutation pattern of tumor necrosis factor-alpha-inducing protein 3 (TNFAIP3) and its role in the prognosis of TCL patients. METHODS Coding sequence (CDS) mutations in TNFAIP3 in TCL patients was explored using exome-sequencing data from 79 patients in our center (Guangdong Provincial People's Hospital, GDPH) and 544 samples from the Catalogue of Somatic Mutations in Cancer (COSMIC) database. Additionally, non-CDS mutations in TNFAIP3 in 41 TCL patients from our center (JNU) were investigated by polymerase chain reaction (PCR) and Sanger sequencing. Furthermore, non-CDS mutations in TNFAIP3 in 47 TCL patients from Gene Expression Omnibus (GEO) dataset were explored. RESULTS In the COSMIC database, TNFAIP3 mutations in TCL patients were located in the CDS, and the overall mutation frequency was 2.2%. However, TNFAIP3 mutations were not detected in the CDS of any of the samples in our center's datasets. Interestingly, non-CDS TNFAIP3 mutations were found in 14.6% and 4.3% of TCL patients in the JNU and GSE15842 dataset, respectively. Importantly, there was a clear trend showing that TCL patients with a TNFAIP3 mutation were associated with a longer 5-year restricted mean survival time (RMST) and favorable OS rate compared with those without a TNFAIP3 mutation in the JNU dataset [hazard ratio (HR) = 0.29, 95% confidence interval (CI) 0.07 to 1.31, P = 0.089]. Furthermore, TNFAIP3 mutations significantly correlated with T-cell large granular lymphocytic leukemia (T-LGLL) with a favorable prognosis in the JNU dataset (P = 0.002). Notably, the different mutation patterns of TNFAIP3 when comparing our center and the COSMIC datasets might be due to different ethnic and genetic backgrounds. CONCLUSIONS To the best of our knowledge, we for the first time describe that TNFAIP3 mutations in non-CDS regions are associated with favorable OS for TCL patients, which might be a potential biomarker for the prognostic stratification of Chinese TCL patients.
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Affiliation(s)
- Cunte Chen
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, 510632, China
| | - Zheng Chen
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, 510632, China
| | - Ling Huang
- Department of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Lingling Zhou
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lihua Zhu
- Department of Rheumatism and Immunology, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Sichu Liu
- Department of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Gengxin Luo
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Wenyu Li
- Department of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
| | - Chengwu Zeng
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, 510632, China.
| | - Yangqiu Li
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, 510632, China.
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El-Mayta R, Zhang Z, Hamilton AG, Mitchell MJ. Delivery technologies to engineer natural killer cells for cancer immunotherapy. Cancer Gene Ther 2021; 28:947-959. [PMID: 33888870 DOI: 10.1038/s41417-021-00336-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 03/09/2021] [Accepted: 03/29/2021] [Indexed: 02/02/2023]
Abstract
In recent years, immune cell-based cancer therapeutics have been utilized broadly in the clinic. Through advances in cellular engineering, chimeric antigen receptor (CAR) T-cell therapies have demonstrated substantial success in treating hematological tumors and have become the most prominent cell-based therapy with three commercialized products in the market. However, T-cell-based immunotherapies have certain limitations, including a restriction to autologous cell sources to avoid severe side-effects caused by human leukocyte antigen (HLA) mismatch. This necessity for personalized treatment inevitably results in tremendous manufacturing and time costs, reducing accessibility for many patients. As an alternative strategy, natural killer (NK) cells have emerged as potential candidates for improved cell-based immunotherapies. NK cells are capable of killing cancer cells directly without requiring HLA matching. Furthermore, NK cell-based therapies can use various allogeneic cell sources, allowing for the possibility of "off-the-shelf" immunotherapies with reduced side-effects and shortened manufacturing times. Here we provide an overview of the use of NK cells in cancer immunotherapy, their current status in clinical trials, as well as the design and implementation of delivery technologies-including viral, non-viral, and nanoparticle-based approaches-for engineering NK cell-based immunotherapies.
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Affiliation(s)
- Rakan El-Mayta
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Zijing Zhang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alex G Hamilton
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael J Mitchell
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA. .,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. .,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. .,Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. .,Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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