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Heras-Murillo I, Adán-Barrientos I, Galán M, Wculek SK, Sancho D. Dendritic cells as orchestrators of anticancer immunity and immunotherapy. Nat Rev Clin Oncol 2024; 21:257-277. [PMID: 38326563 DOI: 10.1038/s41571-024-00859-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2024] [Indexed: 02/09/2024]
Abstract
Dendritic cells (DCs) are a heterogeneous group of antigen-presenting innate immune cells that regulate adaptive immunity, including against cancer. Therefore, understanding the precise activities of DCs in tumours and patients with cancer is important. The classification of DC subsets has historically been based on ontogeny; however, single-cell analyses are now additionally revealing a diversity of functional states of DCs in cancer. DCs can promote the activation of potent antitumour T cells and immune responses via numerous mechanisms, although they can also be hijacked by tumour-mediated factors to contribute to immune tolerance and cancer progression. Consequently, DC activities are often key determinants of the efficacy of immunotherapies, including immune-checkpoint inhibitors. Potentiating the antitumour functions of DCs or using them as tools to orchestrate short-term and long-term anticancer immunity has immense but as-yet underexploited therapeutic potential. In this Review, we outline the nature and emerging complexity of DC states as well as their functions in regulating adaptive immunity across different cancer types. We also describe how DCs are required for the success of current immunotherapies and explore the inherent potential of targeting DCs for cancer therapy. We focus on novel insights on DCs derived from patients with different cancers, single-cell studies of DCs and their relevance to therapeutic strategies.
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Affiliation(s)
- Ignacio Heras-Murillo
- Immunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Irene Adán-Barrientos
- Immunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Miguel Galán
- Immunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Stefanie K Wculek
- Innate Immune Biology Laboratory, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
| | - David Sancho
- Immunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
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2
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Choi JE, Qiao Y, Kryczek I, Yu J, Gurkan J, Bao Y, Gondal M, Tien JCY, Maj T, Yazdani S, Parolia A, Xia H, Zhou J, Wei S, Grove S, Vatan L, Lin H, Li G, Zheng Y, Zhang Y, Cao X, Su F, Wang R, He T, Cieslik M, Green MD, Zou W, Chinnaiyan AM. PIKfyve controls dendritic cell function and tumor immunity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.28.582543. [PMID: 38464258 PMCID: PMC10925294 DOI: 10.1101/2024.02.28.582543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The modern armamentarium for cancer treatment includes immunotherapy and targeted therapy, such as protein kinase inhibitors. However, the mechanisms that allow cancer-targeting drugs to effectively mobilize dendritic cells (DCs) and affect immunotherapy are poorly understood. Here, we report that among shared gene targets of clinically relevant protein kinase inhibitors, high PIKFYVE expression was least predictive of complete response in patients who received immune checkpoint blockade (ICB). In immune cells, high PIKFYVE expression in DCs was associated with worse response to ICB. Genetic and pharmacological studies demonstrated that PIKfyve ablation enhanced DC function via selectively altering the alternate/non-canonical NF-κB pathway. Both loss of Pikfyve in DCs and treatment with apilimod, a potent and specific PIKfyve inhibitor, restrained tumor growth, enhanced DC-dependent T cell immunity, and potentiated ICB efficacy in tumor-bearing mouse models. Furthermore, the combination of a vaccine adjuvant and apilimod reduced tumor progression in vivo. Thus, PIKfyve negatively controls DCs, and PIKfyve inhibition has promise for cancer immunotherapy and vaccine treatment strategies.
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Affiliation(s)
- Jae Eun Choi
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuanyuan Qiao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Gurkan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yi Bao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Mahnoor Gondal
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jean Ching-Yi Tien
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tomasz Maj
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sahr Yazdani
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Abhijit Parolia
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Houjun Xia
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - JiaJia Zhou
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Heng Lin
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Yang Zheng
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Xuhong Cao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
| | - Fengyun Su
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Rui Wang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tongchen He
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Michael D. Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Arul M. Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
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Hato L, Vizcay A, Eguren I, Pérez-Gracia JL, Rodríguez J, Gállego Pérez-Larraya J, Sarobe P, Inogés S, Díaz de Cerio AL, Santisteban M. Dendritic Cells in Cancer Immunology and Immunotherapy. Cancers (Basel) 2024; 16:981. [PMID: 38473341 DOI: 10.3390/cancers16050981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 02/15/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Cancer immunotherapy modulates the immune system, overcomes immune escape and stimulates immune defenses against tumors. Dendritic cells (DCs) are professional promoters of immune responses against tumor antigens with the outstanding ability to coordinate the innate and adaptive immune systems. Evidence suggests that there is a decrease in both the number and function of DCs in cancer patients. Therefore, they represent a strong scaffold for therapeutic interventions. DC vaccination (DCV) is safe, and the antitumoral responses induced are well established in solid tumors. Although the addition of checkpoint inhibitors (CPIs) to chemotherapy has provided new options in the treatment of cancer, they have shown no clinical benefit in immune desert tumors or in those tumors with dysfunctional or exhausted T-cells. In this way, DC-based therapy has demonstrated the ability to modify the tumor microenvironment for immune enriched tumors and to potentiate systemic host immune responses as an active approach to treating cancer patients. Application of DCV in cancer seeks to obtain long-term antitumor responses through an improved T-cell priming by enhancing previous or generating de novo immune responses. To date, DCV has induced immune responses in the peripheral blood of patients without a significant clinical impact on outcome. Thus, improvements in vaccines formulations, selection of patients based on biomarkers and combinations with other antitumoral therapies are needed to enhance patient survival. In this work, we review the role of DCV in different solid tumors with their strengths and weaknesses, and we finally mention new trends to improve the efficacy of this immune strategy.
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Affiliation(s)
- Laura Hato
- Immunology, Riberalab, 03203 Alicante, Spain
| | - Angel Vizcay
- Medical Oncology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain
| | - Iñaki Eguren
- Medical Oncology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | | | - Javier Rodríguez
- Medical Oncology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain
| | | | - Pablo Sarobe
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain
- Program of Immunology and Immunotherapy, Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, 31008 Pamplona, Spain
- CIBEREHD, 31008 Pamplona, Spain
| | - Susana Inogés
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain
- Cell Therapy Unit, Program of Immunology and Immunotherapy, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Ascensión López Díaz de Cerio
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain
- Cell Therapy Unit, Program of Immunology and Immunotherapy, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Marta Santisteban
- Medical Oncology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain
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Tai Y, Chen M, Wang F, Fan Y, Zhang J, Cai B, Yan L, Luo Y, Li Y. The role of dendritic cells in cancer immunity and therapeutic strategies. Int Immunopharmacol 2024; 128:111548. [PMID: 38244518 DOI: 10.1016/j.intimp.2024.111548] [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: 11/07/2023] [Revised: 01/03/2024] [Accepted: 01/12/2024] [Indexed: 01/22/2024]
Abstract
Dendritic cells (DCs) are asserted as the most potent antigen-presenting cells (APCs) that orchestrate both innate and adaptive immunity, being extremely effective in the induction of robust anti-cancer T cell responses. Hence, the modulation of DCs function represents an attractive target for improving cancer immunotherapy efficacy. A better understanding of the immunobiology of DCs, the interaction among DCs, immune effector cells and tumor cells in tumor microenvironment (TME) and the latest advances in biomedical engineering technology would be required for the design of optimal DC-based immunotherapy. In this review, we focus on elaborating the immunobiology of DCs in healthy and cancer environments, the recent advances in the development of enhancing endogenous DCs immunocompetence via immunomodulators as well as DC-based vaccines. The rapidly developing field of applying nanotechnology to improve DC-based immunotherapy is also highlighted.
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Affiliation(s)
- Yunze Tai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Man Chen
- Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
| | - Fang Wang
- Department of Medical Laboratory, The Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou 556000, China
| | - Yu Fan
- Department of Urology, National Clinical Research Center for Geriatrics and Organ Transplantation Center, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu 610041, China
| | - Junlong Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Bei Cai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lin Yan
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yao Luo
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - Yi Li
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
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5
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Zhang Z, Xu X, Du J, Chen X, Xue Y, Zhang J, Yang X, Chen X, Xie J, Ju S. Redox-responsive polymer micelles co-encapsulating immune checkpoint inhibitors and chemotherapeutic agents for glioblastoma therapy. Nat Commun 2024; 15:1118. [PMID: 38320994 PMCID: PMC10847518 DOI: 10.1038/s41467-024-44963-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 01/11/2024] [Indexed: 02/08/2024] Open
Abstract
Immunotherapy with immune checkpoint blockade (ICB) for glioblastoma (GBM) is promising but its clinical efficacy is seriously challenged by the blood-tumor barrier (BTB) and immunosuppressive tumor microenvironment. Here, anti-programmed death-ligand 1 antibodies (aPD-L1) are loaded into a redox-responsive micelle and the ICB efficacy is further amplified by paclitaxel (PTX)-induced immunogenic cell death (ICD) via a co-encapsulation approach for the reinvigoration of local anti-GBM immune responses. Consequently, the micelles cross the BTB and are retained in the reductive tumor microenvironment without altering the bioactivity of aPD-L1. The ICB efficacy is enhanced by the aPD-L1 and PTX combination with suppression of primary and recurrent GBM, accumulation of cytotoxic T lymphocytes, and induction of long-lasting immunological memory in the orthotopic GBM-bearing mice. The co-encapsulation approach facilitating efficient antibody delivery and combining with chemotherapeutic agent-induced ICD demonstrate that the chemo-immunotherapy might reprogram local immunity to empower immunotherapy against GBM.
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Affiliation(s)
- Zhiqi Zhang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China
| | - Xiaoxuan Xu
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China
| | - Jiawei Du
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China
| | - Xin Chen
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, 210009, China
| | - Yonger Xue
- Center for BioDelivery Sciences, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jianqiong Zhang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, 210009, China
| | - Xue Yang
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore.
| | - Jinbing Xie
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China.
| | - Shenghong Ju
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China.
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Alotaibi N, Aldahlawi A, Zaher K, Basingab F, Alrahimi J. Optimizing the generation of mature bone marrow-derived dendritic cells in vitro: a factorial study design. J Genet Eng Biotechnol 2023; 21:144. [PMID: 38017248 PMCID: PMC10684437 DOI: 10.1186/s43141-023-00597-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/09/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Factorial design is a simple, yet elegant method to investigate the effect of multiple factors and their interaction on a specific response simultaneously. Hence, this type of study design reaches the best optimization conditions of a process. Although the interaction between the variables is widely prevalent in cell culture procedures, factorial design per se is infrequently utilized in improving cell culture output. Therefore, we aim to optimize the experimental conditions for generating mature bone marrow-derived dendritic cells (BMDCs). Two different variables were investigated, including the concentrations of the inducing factors and the starting density of the bone marrow mononuclear cells. In the current study, we utilized the design of experiments (DoE), a statistical approach, to systematically assess the impact of factors with varying levels on cell culture outcomes. Herein, we apply a two-factor, two-level (22) factorial experiment resulting in four conditions that are run in triplicate. The two variables investigated here are cytokines combinations with two levels, granulocyte-macrophage colony-stimulating factor (GM-CSF) alone or with interleukin-4 (IL4). The other parameter is cell density with two different concentrations, 2 × 106 and 4 × 106 cells/mL. Then, we measured cell viability using the trypan blue exclusion method, and a flow cytometer was used to detect the BMDCs expressing the markers FITC-CD80, CD86, CD83, and CD14. BMDC marker expression levels were calculated using arbitrary units (AU) of the mean fluorescence intensity (MFI). RESULTS The current study showed that the highest total viable cells and cells yield obtained were in cell group seeded at 2 × 106 cells/mL and treated with GM-CSF and IL-4. Importantly, the expression of the co-stimulatory molecules CD83 and CD80/CD86 were statistically significant for cell density of 2 × 106 cells/mL (P < 0.01, two-way ANOVA). Bone marrow mononuclear cells seeded at 4 × 106 in the presence of the cytokine mix less efficiently differentiated and matured into BMDCs. Statistical analysis via two-way ANOVA revealed an interaction between cell density and cytokine combinations. CONCLUSION The analysis of this study indicates a substantial interaction between cytokines combinations and cell densities on BMDC maturation. However, higher cell density is not associated with optimizing DC maturation. Notably, applying DoE in bioprocess designs increases experimental efficacy and reliability while minimizing experiments, time, and process costs.
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Affiliation(s)
- Najla Alotaibi
- Department of Biological Sciences, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
- Immunology Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
- College of Health, Oregon State University, Corvallis, OR, USA.
| | - Alia Aldahlawi
- Department of Biological Sciences, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Immunology Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Kawther Zaher
- Immunology Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Fatemah Basingab
- Department of Biological Sciences, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Immunology Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jehan Alrahimi
- Department of Biological Sciences, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Immunology Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
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7
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Wu M, Zhou S. Harnessing tumor immunogenomics: Tumor neoantigens in ovarian cancer and beyond. Biochim Biophys Acta Rev Cancer 2023; 1878:189017. [PMID: 37935309 DOI: 10.1016/j.bbcan.2023.189017] [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: 08/27/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/09/2023]
Abstract
Ovarian cancer is a major cause of death among gynecological cancers due to its highly aggressive nature. Immunotherapy has emerged as a promising avenue for ovarian cancer treatment, offering targeted approaches with reduced off-target effects. With the advent of next-generation sequencing, it has become possible to identify genomic alterations that can serve as potential targets for immunotherapy. Furthermore, immunogenomics research has revealed the importance of genetic alterations in shaping the cancer immune responses. However, the heterogeneity of immunogenicity and the low tumor mutation burden pose challenges for neoantigen-based immunotherapies. Further research is needed to identify neoantigen-specific tumor-infiltrating lymphocytes (TIL) and establish guidelines for patient inclusion criteria in TIL-based therapy. The study of neoantigens and their implications in ovarian cancer immunotherapy holds great promise, and efforts focused on personalized treatment strategies, refined neoantigen selection, and optimized therapeutic combinations will contribute to improving patient outcomes in the future.
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Affiliation(s)
- Mengrui Wu
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, PR China
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, PR China.
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8
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Kreidieh FY, Tawbi HA, Alexaki A, Borghaei H, Kandalaft LE. Novel Immunotherapeutics: Perspectives on Checkpoints, Bispecifics, and Vaccines in Development. Am Soc Clin Oncol Educ Book 2023; 43:e391278. [PMID: 37364224 DOI: 10.1200/edbk_391278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Over the past decade, the advent of molecular techniques and deeper understanding of the tumor microenvironment (TME) have enabled the development of a multitude of immunotherapy targets and approaches. Despite the revolutionary advancement in immunotherapy, treatment resistance remains a challenge leading to decreased response rate in a significant proportion of patients. As such, there has recently been an evolving focus to enhance efficacy, durability, and toxicity profiles of immunotherapy. Although immune checkpoint inhibitors have revolutionized cancer treatment with many already-approved antibodies and several others in the pipeline, bispecific antibodies build on their success in an attempt to deliver an even more potent immune response against tumor cells. On the other hand, vaccines comprise the oldest and most versatile form of immunotherapy. Peptide and nucleic acid vaccines are relatively simple to manufacture compared with oncolytic virus-based vaccines, whereas the dendritic cell vaccines are the most complex, requiring autologous cell culture. Nevertheless, a crucial question in the development of cancer vaccines is the choice of antigen whereby shared and patient-private antigen approaches are currently being pursued. There is hope that cancer vaccines will join the repertoire of successful novel immunotherapeutics in the market. Better insights into the impact of immunotherapy on effector T cells and other immune cell populations in the TME shall be a major priority across the immune-oncology discipline and can help identify predictive biomarkers to evaluate response to treatment and identify patients who would most likely benefit from immunotherapy.
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Affiliation(s)
- Firas Y Kreidieh
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - Hussein A Tawbi
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - Aikaterini Alexaki
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | | | - Lana E Kandalaft
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, and Department of Oncology, University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, Switzerland
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9
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Huang X, Li XY, Shan WL, Chen Y, Zhu Q, Xia BR. Targeted therapy and immunotherapy: Diamonds in the rough in the treatment of epithelial ovarian cancer. Front Pharmacol 2023; 14:1131342. [PMID: 37033645 PMCID: PMC10080064 DOI: 10.3389/fphar.2023.1131342] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 02/21/2023] [Indexed: 04/11/2023] Open
Abstract
Currently, for ovarian cancer, which has the highest mortality rate among all gynecological cancers, the standard treatment protocol is initial tumor cytoreductive surgery followed by platinum-based combination chemotherapy. Although the survival rate after standard treatment has improved, the therapeutic effect of traditional chemotherapy is very limited due to problems such as resistance to platinum-based drugs and recurrence. With the advent of the precision medicine era, molecular targeted therapy has gradually entered clinicians' view, and individualized precision therapy has been realized, surpassing the limitations of traditional therapy. The detection of genetic mutations affecting treatment, especially breast cancer susceptibility gene (BRCA) mutations and mutations of other homologous recombination repair defect (HRD) genes, can guide the targeted drug treatment of patients, effectively improve the treatment effect and achieve a better patient prognosis. This article reviews different sites and pathways of targeted therapy, including angiogenesis, cell cycle and DNA repair, and immune and metabolic pathways, and the latest research progress from preclinical and clinical trials related to ovarian cancer therapy.
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Affiliation(s)
- Xu Huang
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Bengbu Medical College Bengbu, Anhui, China
| | - Xiao-Yu Li
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Bengbu Medical College Bengbu, Anhui, China
| | - Wu-Lin Shan
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yao Chen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, China
| | - Qi Zhu
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Bai-Rong Xia
- Bengbu Medical College Bengbu, Anhui, China
- *Correspondence: Bai-Rong Xia,
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Hensler M, Rakova J, Kasikova L, Lanickova T, Pasulka J, Holicek P, Hraska M, Hrnciarova T, Kadlecova P, Schoenenberger A, Sochorova K, Rozkova D, Sojka L, Drozenova J, Laco J, Horvath R, Podrazil M, Hongyan G, Brtnicky T, Halaska MJ, Rob L, Ryska A, Coosemans A, Vergote I, Garg AD, Cibula D, Bartunkova J, Spisek R, Fucikova J. Peripheral gene signatures reveal distinct cancer patient immunotypes with therapeutic implications for autologous DC-based vaccines. Oncoimmunology 2022; 11:2101596. [PMID: 35898703 PMCID: PMC9311316 DOI: 10.1080/2162402x.2022.2101596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Dendritic cells (DCs) have received considerable attention as potential targets for the development of novel cancer immunotherapies. However, the clinical efficacy of DC-based vaccines remains suboptimal, largely reflecting local and systemic immunosuppression at baseline. An autologous DC-based vaccine (DCVAC) has recently been shown to improve progression-free survival and overall survival in randomized clinical trials enrolling patients with lung cancer (SLU01, NCT02470468) or ovarian carcinoma (SOV01, NCT02107937), but not metastatic castration-resistant prostate cancer (SP005, NCT02111577), despite a good safety profile across all cohorts. We performed biomolecular and cytofluorometric analyses on peripheral blood samples collected prior to immunotherapy from 1000 patients enrolled in these trials, with the objective of identifying immunological biomarkers that may improve the clinical management of DCVAC-treated patients. Gene signatures reflecting adaptive immunity and T cell activation were associated with favorable disease outcomes and responses to DCVAC in patients with prostate and lung cancer, but not ovarian carcinoma. By contrast, the clinical benefits of DCVAC were more pronounced among patients with ovarian carcinoma exhibiting reduced expression of T cell-associated genes, especially those linked to TH2-like signature and immunosuppressive regulatory T (TREG) cells. Clinical responses to DCVAC were accompanied by signs of antitumor immunity in the peripheral blood. Our findings suggest that circulating signatures of antitumor immunity may provide a useful tool for monitoring the potency of autologous DC-based immunotherapy.
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Affiliation(s)
| | | | | | - Tereza Lanickova
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | | | - Peter Holicek
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | | | | | | | | | | | | | - Ludek Sojka
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Jana Drozenova
- Department of Pathology 3rd Faculty of Medicine, And University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Jan Laco
- The Fingerland Department of Pathology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Czech Republic
| | - Rudolf Horvath
- Department of Pediatric and Adult Rheumatology, University Hospital Motol, Prague, Czech Republic
| | - Michal Podrazil
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Guo Hongyan
- Department of Gynecology and Obstetrics, Peking University Third Hospital, Beijing, Hebei Province, China
| | - Tomas Brtnicky
- Department of Gynecology and Obstetrics, 1st Faculty of Medicine, Charles University, University Hospital Bulovka, Prague, Czech Republic
| | - Michal J. Halaska
- Department of Gynecology and Obstetrics, Charles University, 3rd Faculty of Medicine and University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Lukas Rob
- Department of Gynecology and Obstetrics, Charles University, 3rd Faculty of Medicine and University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Ales Ryska
- The Fingerland Department of Pathology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Czech Republic
| | - An Coosemans
- Department of Oncology, Leuven Cancer Institute, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Belgium
| | - Ignace Vergote
- Department of Oncology, Leuven Cancer Institute, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Belgium
- Department of Oncology, Leuven Cancer Institute, Laboratory of Gynaecologic Oncology, KU Leuven, Belgium
- Department of Gynaecology and Obstetrics, Leuven Cancer Institute, UZ Leuven, Leuven, Belgium
| | - Abhishek D. Garg
- Laboratory of Cell Stress and Immunity, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jirina Bartunkova
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Radek Spisek
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Jitka Fucikova
- Sotio Biotech, Prague, Czech Republic
- Department of Immunology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
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Lin Y, Zhou X, Ni Y, Zhao X, Liang X. Metabolic reprogramming of the tumor immune microenvironment in ovarian cancer: A novel orientation for immunotherapy. Front Immunol 2022; 13:1030831. [PMID: 36311734 PMCID: PMC9613923 DOI: 10.3389/fimmu.2022.1030831] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 09/29/2022] [Indexed: 11/17/2022] Open
Abstract
Ovarian cancer is the most lethal gynecologic tumor, with the highest mortality rate. Numerous studies have been conducted on the treatment of ovarian cancer in the hopes of improving therapeutic outcomes. Immune cells have been revealed to play a dual function in the development of ovarian cancer, acting as both tumor promoters and tumor suppressors. Increasingly, the tumor immune microenvironment (TIME) has been proposed and confirmed to play a unique role in tumor development and treatment by altering immunosuppressive and cytotoxic responses in the vicinity of tumor cells through metabolic reprogramming. Furthermore, studies of immunometabolism have provided new insights into the understanding of the TIME. Targeting or activating metabolic processes of the TIME has the potential to be an antitumor therapy modality. In this review, we summarize the composition of the TIME of ovarian cancer and its metabolic reprogramming, its relationship with drug resistance in ovarian cancer, and recent research advances in immunotherapy.
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Caro AA, Deschoemaeker S, Allonsius L, Coosemans A, Laoui D. Dendritic Cell Vaccines: A Promising Approach in the Fight against Ovarian Cancer. Cancers (Basel) 2022; 14:cancers14164037. [PMID: 36011029 PMCID: PMC9406463 DOI: 10.3390/cancers14164037] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/16/2022] [Accepted: 08/19/2022] [Indexed: 11/22/2022] Open
Abstract
Simple Summary With an overall 5-year survival of only 20% for advanced-stage ovarian cancer patients, enduring and effective therapies are a highly unmet clinical need. Current standard-of-care therapies are able to improve progression-free survival; however, patients still relapse. Moreover, immunotherapy has not resulted in clear patient benefits so far. In this situation, dendritic cell vaccines can serve as a potential therapeutic addition against ovarian cancer. In the current review, we provide an overview of the different dendritic cell subsets and the roles they play in ovarian cancer. We focus on the advancements in dendritic cell vaccination against ovarian cancer and highlight the key outcomes and pitfalls associated with currently used strategies. Finally, we address future directions that could be taken to improve the dendritic cell vaccination outcomes in ovarian cancer. Abstract Ovarian cancer (OC) is the deadliest gynecological malignancy in developed countries and is the seventh-highest cause of death in women diagnosed with cancer worldwide. Currently, several therapies are in use against OC, including debulking surgery, chemotherapy, as well as targeted therapies. Even though the current standard-of-care therapies improve survival, a vast majority of OC patients relapse. Additionally, immunotherapies have only resulted in meager patient outcomes, potentially owing to the intricate immunosuppressive nexus within the tumor microenvironment. In this scenario, dendritic cell (DC) vaccination could serve as a potential addition to the therapeutic options available against OC. In this review, we provide an overview of current therapies in OC, focusing on immunotherapies. Next, we highlight the potential of using DC vaccines in OC by underscoring the different DC subsets and their functions in OC. Finally, we provide an overview of the advances and pitfalls of current DC vaccine strategies in OC while providing future perspectives that could improve patient outcomes.
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Affiliation(s)
- Aarushi Audhut Caro
- Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, 1050 Brussels, Belgium
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, 1050 Brussels, Belgium
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium
| | - Sofie Deschoemaeker
- Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, 1050 Brussels, Belgium
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, 1050 Brussels, Belgium
| | - Lize Allonsius
- Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, 1050 Brussels, Belgium
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, 1050 Brussels, Belgium
| | - An Coosemans
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, 3000 Leuven, Belgium
| | - Damya Laoui
- Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, 1050 Brussels, Belgium
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, 1050 Brussels, Belgium
- Correspondence: ; Tel.: +32-2-6291969
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13
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Identification of an Immune Gene-Based Cisplatin Response Model and CD27 as a Therapeutic Target against Cisplatin Resistance for Ovarian Cancer. J Immunol Res 2022; 2022:4379216. [PMID: 35647204 PMCID: PMC9133897 DOI: 10.1155/2022/4379216] [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: 03/25/2022] [Revised: 04/28/2022] [Accepted: 05/03/2022] [Indexed: 11/17/2022] Open
Abstract
Objective. Evidence demonstrates that the immune microenvironment is extensively associated with chemotherapy response of ovarian cancer (OV). Herein, this study is aimed at establishing a cisplatin response prediction model for OV on the basis of immune genes. Methods. The expression profiles of cisplatin-sensitive and cisplatin-resistant OV specimens were integrated from multiple public datasets. The abundance scores of 22 immune cells were estimated with CIBERSORT algorithm. Differentially expressed immune genes (DEGs) were determined between cisplatin-sensitive and cisplatin-resistant groups. Thereafter, a cisplatin response model was constructed based on prognostic DEGs with logistic regression analysis. The prediction performance was validated in independent cohorts. The possible relationships between the model and immunotherapy were then assessed. Results. Treg scores were significantly decreased in cisplatin-resistant than cisplatin-sensitive OV specimens, with the opposite results for naïve B cells and activated dendritic cells. Fourteen prognostic DEGs were identified and used to develop a cisplatin-response model. The response scores, estimated by the model, showed favorable performance in discriminating cisplatin-response and nonresponse samples. The response scores also presented significantly negative correlations with three well-known cisplatin-resistant pathways and a positive correlation with the expression of CD274 (PD-L1). Moreover, the decreased CD27 expression was observed in cisplatin-resistant groups, and OV specimens with higher CD27 expressions were more sensitive to cisplatin treatment. Conclusion. Altogether, our findings proposed a cisplatin response prediction model and identified CD27 that might be involved in cisplatin resistance. Further investigations suggested that CD27 could be a promising immunotherapeutic target for cisplatin-resistant subset of OV.
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Fucikova J, Hensler M, Kasikova L, Lanickova T, Pasulka J, Rakova J, Drozenova J, Fredriksen T, Hraska M, Hrnciarova T, Sochorova K, Rozkova D, Sojka L, Dundr P, Laco J, Brtnicky T, Praznovec I, Halaska MJ, Rob L, Ryska A, Coosemans A, Vergote I, Cibula D, Bartunkova J, Galon J, Galluzzi L, Spisek R. An autologous dendritic cell vaccine promotes anticancer immunity in ovarian cancer patients with low mutational burden and cold tumors. Clin Cancer Res 2022; 28:3053-3065. [PMID: 35536547 DOI: 10.1158/1078-0432.ccr-21-4413] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/08/2022] [Accepted: 05/06/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE The successful implementation of immune checkpoint inhibitors (ICIs) in the clinical management of various solid tumors has raised considerable expectations for patients with epithelial ovarian carcinoma (EOC). However, EOC is poorly responsive to ICIs due to immunological features including limited tumor mutational burden (TMB) and poor lymphocytic infiltration. An autologous dendritic cell (DC)-based vaccine (DCVAC) has recently been shown to be safe and to significantly improve progression-free survival (PFS) in a randomized Phase II clinical trial enrolling patients with EOC (SOV01, NCT02107937). EXPERIMENTAL DESIGN We harnessed sequencing, flow cytometry, multispectral immunofluorescence microscopy, immunohistochemistry to analyze (pre-treatment) tumor and (pre-treatment and post-treatment) peripheral blood samples from 82 patients enrolled in SOV01, with the aim of identifying immunological biomarkers that would improve the clinical management of patients with EOC treated with DCVAC. RESULTS Although higher-than-median TMB and abundant CD8+ T cell infiltration were associated with superior clinical benefits in patients with EOC receiving standard-of-care chemotherapy, the same did not hold true in women receiving DCVAC. Conversely, superior clinical responses to DCVAC were observed in patients with lower-than-median TMB and scarce CD8+ T cell infiltration. Such responses were accompanied by signs of improved effector functions and tumor-specific cytotoxicity in the peripheral blood. CONCLUSIONS Our findings suggest that while patients with highly infiltrated, "hot" EOCs benefit from chemotherapy, women with "cold" EOCs may instead require DC-based vaccination to jumpstart clinically relevant anticancer immune responses.
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Affiliation(s)
| | | | - Lenka Kasikova
- Deparment of Immunology, 2nd Medical School, Charles University and Sotio, Czech Republic
| | | | | | | | | | | | | | | | | | | | - Ludek Sojka
- Charles University, 2nd Medical School, Praha 5, Czech Republic
| | | | - Jan Laco
- The Fingerland Department of Pathology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Czech Republic, Hradec Kralove, Czech Republic
| | - Tomas Brtnicky
- Charles University, 1st Faculty of Medicine and University Hospital Bulovka, Prague, Czech Republic, Prague, Czech Republic
| | - Ivan Praznovec
- Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Czech Republic, Hradec Kralove, Czech Republic
| | - Michael J Halaska
- 3rd Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Lukas Rob
- Charles University, 3rd Faculty of Medicine and University Hospital Kralovske Vinohrady, Prague, Czech Republic, Prague 10, Czech Republic
| | - Ales Ryska
- Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Czech Republic, Hradec Kralove, Czech Republic
| | | | | | | | | | | | | | - Radek Spisek
- Sotio; Charles University, 2nd Medical School, Prague, Czech Republic
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