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Radunskaya A, Sack J. Kill rates by immune cells: Ratio-dependent, or mass action? J Theor Biol 2024; 582:111748. [PMID: 38336242 DOI: 10.1016/j.jtbi.2024.111748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/10/2024] [Accepted: 01/18/2024] [Indexed: 02/12/2024]
Abstract
We describe a cell-based fixed-lattice model to simulate immune cell and tumor cell interaction involving MHC recognition, and FasL vs perforin lysis. We are motivated by open questions about the mechanisms behind observed kill rates of tumor cells by different types of effector cells. These mechanisms play a big role in the effectiveness of many cancer immunotherapies. The model is a stochastic cellular automaton on a hexagonal grid.
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Affiliation(s)
| | - Joshua Sack
- California State University, Long Beach, United States of America.
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Cho H, Kim K. Multi-functional nanomedicines for combinational cancer immunotherapy that transform cold tumors to hot tumors. Expert Opin Drug Deliv 2024; 21:627-638. [PMID: 38682272 DOI: 10.1080/17425247.2024.2348656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 04/24/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION Currently, cancer immunotherapy is widely used as a groundbreaking method that can completely cure advanced cancers. However, this new immunotherapy has the challenge of low patient response, which is often due to many patients' tumors having an immunosuppressive environment, known as cold tumors. AREAS COVERED This review aims to introduce various nanomedicine-derived combinational cancer immunotherapy that can transform cold tumor into hot tumors. Initially, we discuss new technologies for combinational immunotherapy based on multifunctional nanomedicines that can deliver combinational immunogenic cell death (ICD) inducers, immune checkpoint blockades (ICBs) and immune modulators (IMs) to targeted tumor tissues at the same time. Ultimately, we highlight how multifunctional nanomedicines for combinational cancer immunotherapy can be used to transform cold tumor into hot tumors against advanced cancers. EXPERT OPINION Nanomedicine-derived combinational cancer immunotherapy for delivering multiple ICD inducers, ICBs, and IMs at the same time is recognized as a new potential technology that can activate tumor immunity and simultaneously increase the therapeutic efficacy of immune cells that can transform effectively the cold tumors into hot tumors. Finally, nanomedicine-derived combinational cancer immunotherapy can solve the serious problems of low therapeutic efficacy that occurs when treating single drug or simple combinational drugs in cancer immunotherapy.
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Affiliation(s)
- Hanhee Cho
- Graduate School of Pharmaceutical Sciences, College of Pharmacy, Ewha Woman's University, Seoul, Republic of Korea
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Handoko, Adham M, Rachmadi L, Wibowo H, Gondhowiardjo SA. Cold Tumour Phenotype Explained Through Whole Genome Sequencing in Clinical Nasopharyngeal Cancer: A Preliminary Study. Immunotargets Ther 2024; 13:173-182. [PMID: 38524775 PMCID: PMC10959245 DOI: 10.2147/itt.s452117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/23/2024] [Indexed: 03/26/2024] Open
Abstract
Introduction Nasopharyngeal cancer (NPC) is a complex cancer due to its unique genomic features and association with the Epstein-Barr virus (EBV). Despite therapeutic advancements, NPC prognosis remains poor, necessitating a deeper understanding of its genomics. Here, we present a comprehensive whole genome sequencing (WGS) view of NPC genomics and its correlation with the phenotype. Methods This study involved WGS of a clinical NPC biopsy specimen. Sequencing was carried out using a long read sequencer from Oxford Nanopore. Analysis of the variants involved correlation with the phenotype of NPC. Results A loss of genes within chromosome 6 from copy number variation (CNV) was found. The lost genes included HLA-A, HLA-B, and HLA-C, which work in the antigen presentation process. This loss of the major histocompatibility complex (MHC) apparatus resulted in the tumour's ability to evade immune recognition. The tumour exhibited an immunologically "cold" phenotype, with mild tumour-infiltrating lymphocytes, supporting the possible etiology of loss of antigen presentation capability. Furthermore, the driver mutation PIK3CA gene was identified along with various other gene variants affecting numerous signaling pathways. Discussion Comprehensive WGS was able to detect various mutations and genomic losses, which could explain tumour progression and immune evasion ability. Furthermore, the study identified the loss of other genes related to cancer and immune pathways, emphasizing the complexity of NPC genomics. In conclusion, this study underscores the significance of MHC class I gene loss and its probable correlation with the cold tumour phenotype observed in NPC.
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Affiliation(s)
- Handoko
- Department of Radiation Oncology, Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
- Doctoral Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Marlinda Adham
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
- Department of Otorhinolaryngology - Head and Neck Surgery Department, Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
| | - Lisnawati Rachmadi
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
- Department of Anatomical Pathology, Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
| | - Heri Wibowo
- Integrated Laboratory, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Soehartati A Gondhowiardjo
- Department of Radiation Oncology, Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
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Wang Y, Yan K, Guo Y, Lu Y, Su H, Li H. IP-score correlated to endogenous tumour antigen peptide processing: A candidate clinical response score algorithm of immune checkpoint inhibitors therapy in multiple cohorts. Front Immunol 2023; 13:1085491. [PMID: 36700205 PMCID: PMC9868931 DOI: 10.3389/fimmu.2022.1085491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023] Open
Abstract
The processing of endogenous tumour antigen peptides was essential for anti-tumour immunity in the tumour microenvironment. A high degree of Endogenous tumour antigen peptide processing has been demonstrated to improve the prognosis of carcinoma patients. However, there is insufficient evidence to prove its effect on the clinical response to immune checkpoint inhibitor therapy. To undertake a more in-depth analysis of the effects of the aforementioned genes on immunotherapy, we constructed a gene set evaluation score system relevant to tumour endogenous antigen peptide therapy using the GSVA approach. This rating mechanism is known as IP score (IPs). Immediately afterwards, we used the TCGA pan-cancer cohorts to conduct a comprehensive analysis of 6 genes in the IPs, and the analysis results showed that these six genes were related to the proportion of CD8+ T lymphocytes in a variety of solid tumours. As a prognostic protective factor for solid tumours, patients had better prognosis outcomes in the group with high expression levels of the above genes. We analysed the differential expression of six genes between immune checkpoint inhibitor treatment response and disease progression groups using several treatment cohorts. The results revealed that after treatment with PD-1 or CTLA4 inhibitors, the expression levels of the above six genes were comparatively high in the effective group, but the expression of the signature genes was dramatically downregulated in the ICI-insensitive groups. This indicates that the 6 genes are related to the clinical response to ICI treatment. Finally, we used the GSVA method to evaluate the above signatures, and the results showed that PDCD1, CTAL4, CD274 and LAG3 were significantly higher expressed in the IPs high-expression group; therefore, based on the processing of endogenous antigenic peptides in tumours, a predictive score of clinical response to immune checkpoint inhibitor therapy composed of 6 genes(PSMB8/PSMB9/PSMB10/PSME1/PSME2/IRF1) was constructed, and the role of each independent variable in the signature in the solid tumour microenvironment and the impact on ICI treatment were comprehensively analysed. This study provides a candidate evaluation score for predicting clinical response to immune checkpoint inhibitor therapy.
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Affiliation(s)
- Yutao Wang
- Department of Urology, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
| | - Kexin Yan
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Ye Guo
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yi Lu
- Department of Urology, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
| | - Hao Su
- Department of Urology, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
| | - Hongjun Li
- Department of Urology, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China,*Correspondence: Hongjun Li,
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Handoko, Louisa M, Permata TBM, Gondhowiardjo SA. Deciphering Driver of Nasopharyngeal Cancer Development. Oncol Rev 2022; 16:10654. [DOI: 10.3389/or.2022.10654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/14/2022] [Indexed: 11/13/2022] Open
Abstract
A great deal of progress has been made on understanding nasopharyngeal cancer in recent decades. Genomic, transcriptomic, and proteomic studies have enabled us to gain a deeper understanding on the biology of nasopharyngeal cancer, and though this new information is elaborate and detailed, an overall picture of the driver of nasopharyngeal cancer that includes all this information is lacking. This review will focus on providing a broad overview, with plausible and simple language, on nasopharyngeal carcinogenesis based on current updated information. This will help readers to gain a broad understanding, which may be necessary to provide common ground for further research on nasopharyngeal cancer.
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Dobrovolskaia MA. Lessons learned from immunological characterization of nanomaterials at the Nanotechnology Characterization Laboratory. Front Immunol 2022; 13:984252. [PMID: 36304452 PMCID: PMC9592561 DOI: 10.3389/fimmu.2022.984252] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
Nanotechnology carriers have become common in pharmaceutical products because of their benefits to drug delivery, including reduced toxicities and improved efficacy of active pharmaceutical ingredients due to targeted delivery, prolonged circulation time, and controlled payload release. While available examples of reduced drug toxicity through formulation using a nanocarrier are encouraging, current data also demonstrate that nanoparticles may change a drug’s biodistribution and alter its toxicity profile. Moreover, individual components of nanoparticles and excipients commonly used in formulations are often not immunologically inert and contribute to the overall immune responses to nanotechnology-formulated products. Said immune responses may be beneficial or adverse depending on the indication, dose, dose regimen, and route of administration. Therefore, comprehensive toxicology studies are of paramount importance even when previously known drugs, components, and excipients are used in nanoformulations. Recent data also suggest that, despite decades of research directed at hiding nanocarriers from the immune recognition, the immune system’s inherent property of clearing particulate materials can be leveraged to improve the therapeutic efficacy of drugs formulated using nanoparticles. Herein, I review current knowledge about nanoparticles’ interaction with the immune system and how these interactions contribute to nanotechnology-formulated drug products’ safety and efficacy through the lens of over a decade of nanoparticle characterization at the Nanotechnology Characterization Laboratory.
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Gondhowiardjo SA, Adham M, Rachmadi L, Atmakusuma TD, Tobing DL, Auzan M, Hariyanto AD, Sulaeman D, Permata TBM, Handoko. Immune cells markers within local tumor microenvironment are associated with EBV oncoprotein in nasopharyngeal cancer. BMC Cancer 2022; 22:887. [PMID: 35963999 PMCID: PMC9375267 DOI: 10.1186/s12885-022-09948-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 07/29/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction EBV infection in nasopharyngeal cancer ensued in latent infection mode. In this latent infection various EBV oncoproteins such as EBNA1 and LMP1 was expressed. EBV oncoproteins could theoretically recruit immune cells, which might help to control cancer. Therefore, this study was aimed to elucidate the association with EBV oncoproteins (EBNA1 and LMP1), immune markers (CD4, CD8, and FOXP3) from nasopharyngeal cancer microenvironment with tumor progression. Method Nasopharyngeal biopsy was obtained from patients suspected to have nasopharyngeal cancer. Those samples with microscopically confirmed nasopharyngeal cancer were tested for EBNA1, LMP1, CD4, CD8, and FOXP3 concentration with ELISA, then verified with IHC. Each patient tumor volume was assessed for primary nasopharyngeal tumor volume (GTVp) and neck nodal metastases tumor volume (GTVn). Correlation test with Spearman correlation and scatterplot were carried out. Result Total 23 samples with nasopharyngeal cancer were analyzed. There was moderate correlation (ρ = 0.45; p value = 0.032) between LMP1 and GTVp. There was strong correlation (ρ = 0.81; p value < 0.001) between CD8 and GTVp. There was also moderate correlation (ρ = 0.6; p value = 0.002) between FOXP3 and GTVp. The CD8 concentration has moderate correlation with both EBNA1 (ρ = 0.46; p value = 0.026) and LMP1 (ρ = 0.47; p value = 0.023). While FOXP3 has moderate correlation with only LMP1 (ρ = 0.58; p value = 0.004). No correlation was found between all the markers tested here with GTVn. Discussion We found larger primary nasopharyngeal tumor was associated with higher CD8 marker. This was thought due to the presence of abundance CD8 T cells in the nasopharynx, but those abundance CD8 T cells were suspected to be dysfunctional. The nasopharyngeal cancer was also known to upregulate chemokines that could recruit T regulatory FOXP3 cells. Furthermore, T regulatory FOXP3 cells differentiation was induced through several pathways which was triggered by EBNA1. The correlation found in this study could guide further study to understand nasopharyngeal carcinogenesis and the relationship with our immune system.
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Affiliation(s)
- Soehartati A Gondhowiardjo
- Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Marlinda Adham
- Department of ENT, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Lisnawati Rachmadi
- Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Tubagus Djumhana Atmakusuma
- Department of Medical Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Demak Lumban Tobing
- Department of Clinical Pathology, Dharmais National Cancer Hospital, Jakarta - Indonesia, Jl. Letjen S. Parman No. 84-86, Jakarta, Indonesia, 11420
| | - Mahesa Auzan
- Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Agustinus Darmadi Hariyanto
- Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Dede Sulaeman
- Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Tiara Bunga Mayang Permata
- Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430
| | - Handoko
- Department of Radiation Oncology, Faculty of Medicine, Universitas Indonesia / Cipto Mangunkusumo National General Hospital, Jakarta - Indonesia, Jl. Salemba Raya No. 6, Jakarta, Indonesia, 10430.
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Hu T, Gong H, Xu J, Huang Y, Wu F, He Z. Nanomedicines for Overcoming Cancer Drug Resistance. Pharmaceutics 2022; 14:pharmaceutics14081606. [PMID: 36015232 PMCID: PMC9412887 DOI: 10.3390/pharmaceutics14081606] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/27/2022] [Accepted: 07/29/2022] [Indexed: 11/25/2022] Open
Abstract
Clinically, cancer drug resistance to chemotherapy, targeted therapy or immunotherapy remains the main impediment towards curative cancer therapy, which leads directly to treatment failure along with extended hospital stays, increased medical costs and high mortality. Therefore, increasing attention has been paid to nanotechnology-based delivery systems for overcoming drug resistance in cancer. In this respect, novel tumor-targeting nanomedicines offer fairly effective therapeutic strategies for surmounting the various limitations of chemotherapy, targeted therapy and immunotherapy, enabling more precise cancer treatment, more convenient monitoring of treatment agents, as well as surmounting cancer drug resistance, including multidrug resistance (MDR). Nanotechnology-based delivery systems, including liposomes, polymer micelles, nanoparticles (NPs), and DNA nanostructures, enable a large number of properly designed therapeutic nanomedicines. In this paper, we review the different mechanisms of cancer drug resistance to chemotherapy, targeted therapy and immunotherapy, and discuss the latest developments in nanomedicines for overcoming cancer drug resistance.
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Affiliation(s)
- Tingting Hu
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China; (T.H.); (J.X.); (Y.H.)
| | - Hanlin Gong
- Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu 610041, China;
| | - Jiayue Xu
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China; (T.H.); (J.X.); (Y.H.)
| | - Yuan Huang
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China; (T.H.); (J.X.); (Y.H.)
| | - Fengbo Wu
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China; (T.H.); (J.X.); (Y.H.)
- Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
- Correspondence: (F.W.); or (Z.H.); Tel.: +86-28-85422965 (Z.H.); Fax: +86-28-85422664 (Z.H.)
| | - Zhiyao He
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China; (T.H.); (J.X.); (Y.H.)
- Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
- Correspondence: (F.W.); or (Z.H.); Tel.: +86-28-85422965 (Z.H.); Fax: +86-28-85422664 (Z.H.)
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Electrospun Silk Fibroin/Polylactic-co-glycolic Acid/Black Phosphorus Nanosheets Nanofibrous Membrane with Photothermal Therapy Potential for Cancer. Molecules 2022; 27:molecules27144563. [PMID: 35889436 PMCID: PMC9317578 DOI: 10.3390/molecules27144563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 01/27/2023] Open
Abstract
Photothermal therapy is a promising treating method for cancers since it is safe and easily controllable. Black phosphorus (BP) nanosheets have drawn tremendous attention as a novel biodegradable thermotherapy material, owing to their excellent biocompatibility and photothermal properties. In this study, silk fibroin (SF) was used to exfoliate BP with long-term stability and good solution-processability. Then, the prepared BP@SF was introduced into fibrous membranes by electrospinning, together with SF and polylactic-co-glycolic acid (PLGA). The SF/PLGA/BP@SF membranes had relatively smooth and even fibers and the maximum stress was 2.92 MPa. Most importantly, the SF/PLGA/BP@SF membranes exhibited excellent photothermal properties, which could be controlled by the BP@SF content and near infrared (NIR) light power. The temperature of SF/PLGA/BP@SF composite membrane was increased by 15.26 °C under NIR (808 nm, 2.5 W/cm2) irradiation for 10 min. The photothermal property of SF/PLGA/BP@SF membranes significantly killed the HepG2 cancer cells in vitro, indicating its good potential for application in local treatment of cancer.
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Laureano RS, Sprooten J, Vanmeerbeerk I, Borras DM, Govaerts J, Naulaerts S, Berneman ZN, Beuselinck B, Bol KF, Borst J, Coosemans A, Datsi A, Fučíková J, Kinget L, Neyns B, Schreibelt G, Smits E, Sorg RV, Spisek R, Thielemans K, Tuyaerts S, De Vleeschouwer S, de Vries IJM, Xiao Y, Garg AD. Trial watch: Dendritic cell (DC)-based immunotherapy for cancer. Oncoimmunology 2022; 11:2096363. [PMID: 35800158 PMCID: PMC9255073 DOI: 10.1080/2162402x.2022.2096363] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Dendritic cell (DC)-based vaccination for cancer treatment has seen considerable development over recent decades. However, this field is currently in a state of flux toward niche-applications, owing to recent paradigm-shifts in immuno-oncology mobilized by T cell-targeting immunotherapies. DC vaccines are typically generated using autologous (patient-derived) DCs exposed to tumor-associated or -specific antigens (TAAs or TSAs), in the presence of immunostimulatory molecules to induce DC maturation, followed by reinfusion into patients. Accordingly, DC vaccines can induce TAA/TSA-specific CD8+/CD4+ T cell responses. Yet, DC vaccination still shows suboptimal anti-tumor efficacy in the clinic. Extensive efforts are ongoing to improve the immunogenicity and efficacy of DC vaccines, often by employing combinatorial chemo-immunotherapy regimens. In this Trial Watch, we summarize the recent preclinical and clinical developments in this field and discuss the ongoing trends and future perspectives of DC-based immunotherapy for oncological indications.
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Affiliation(s)
- Raquel S Laureano
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jenny Sprooten
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Isaure Vanmeerbeerk
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Daniel M Borras
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jannes Govaerts
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Stefan Naulaerts
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Zwi N Berneman
- Department of Haematology, Antwerp University Hospital, Edegem, Belgium
- Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Center for Cell Therapy and Regenerative Medicine, Antwerp University Hospital, Edegem, Belgium
| | | | - Kalijn F Bol
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences; Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jannie Borst
- Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - an Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, ImmunOvar Research Group, Ku Leuven, Leuven Cancer Institute, Leuven, Belgium
| | - Angeliki Datsi
- Institute for Transplantation Diagnostics and Cell Therapeutics, Heinrich-Heine University, Düsseldorf, Germany
| | - Jitka Fučíková
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Lisa Kinget
- Department of General Medical Oncology, UZ Leuven, Leuven, Belgium
| | - Bart Neyns
- Department of Medical Oncology, UZ Brussel, Brussels, Belgium
| | - Gerty Schreibelt
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences; Radboud University Medical Center, Nijmegen, The Netherlands
| | - Evelien Smits
- Center for Cell Therapy and Regenerative Medicine, Antwerp University Hospital, Edegem, Belgium
- Center for Oncological Research, Integrated Personalized and Precision Oncology Network, University of Antwerp, Wilrijk, Belgium
| | - Rüdiger V Sorg
- Institute for Transplantation Diagnostics and Cell Therapeutics, Heinrich-Heine University, Düsseldorf, Germany
| | - Radek Spisek
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Kris Thielemans
- Laboratory of Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Sandra Tuyaerts
- Department of Medical Oncology, UZ Brussel, Brussels, Belgium
- Laboratory of Medical and Molecular Oncology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Steven De Vleeschouwer
- Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium
- Department of Neurosurgery, UZ Leuven, Leuven, Belgium
| | - I Jolanda M de Vries
- Department of Tumour Immunology, Radboud Institute for Molecular Life Sciences; Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yanling Xiao
- Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Abhishek D Garg
- Laboratory of Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
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