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Feng H, Feng J, Han X, Ying Y, Lou W, Liu L, Zhang L. The Potential of Siglecs and Sialic Acids as Biomarkers and Therapeutic Targets in Tumor Immunotherapy. Cancers (Basel) 2024; 16:289. [PMID: 38254780 PMCID: PMC10813689 DOI: 10.3390/cancers16020289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/24/2023] [Accepted: 01/02/2024] [Indexed: 01/24/2024] Open
Abstract
The dysregulation of sialic acid is closely associated with oncogenesis and tumor progression. Most tumor cells exhibit sialic acid upregulation. Sialic acid-binding immunoglobulin-like lectins (Siglecs) are receptors that recognize sialic acid and are expressed in various immune cells. The activity of Siglecs in the tumor microenvironment promotes immune escape, mirroring the mechanisms of the well-characterized PD-1/PD-L1 pathway in cancer. Cancer cells utilize sialic acid-linked glycans to evade immune surveillance. As Siglecs exhibit similar mechanisms as the established immune checkpoint inhibitors (ICIs), they are potential therapeutic targets for different forms of cancer, especially ICI-resistant malignancies. Additionally, the upregulation of sialic acid serves as a potential tumor biomarker. This review examines the feasibility of using sialic acid and Siglecs for early malignant tumor detection and discusses the potential of targeting Siglec-sialic acid interaction as a novel cancer therapeutic strategy.
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Affiliation(s)
- Haokang Feng
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jiale Feng
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xu Han
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ying Ying
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Wenhui Lou
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- The Shanghai Geriatrics Medical Center, Zhongshan Hospital MinHang MeiLong Branch, Fudan University, Shanghai 200032, China
| | - Liang Liu
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (H.F.); (J.F.); (X.H.); (Y.Y.); (W.L.)
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Krykbaeva I, Bridges K, Damsky W, Pizzurro GA, Alexander AF, McGeary MK, Park K, Muthusamy V, Eyles J, Luheshi N, Turner N, Weiss SA, Olino K, Kaech SM, Kluger HM, Miller-Jensen K, Bosenberg M. Combinatorial Immunotherapy with Agonistic CD40 Activates Dendritic Cells to Express IL12 and Overcomes PD-1 Resistance. Cancer Immunol Res 2023; 11:1332-1350. [PMID: 37478171 DOI: 10.1158/2326-6066.cir-22-0699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/17/2023] [Accepted: 07/20/2023] [Indexed: 07/23/2023]
Abstract
Checkpoint inhibitors have revolutionized cancer treatment, but resistance remains a significant clinical challenge. Myeloid cells within the tumor microenvironment can modulate checkpoint resistance by either supporting or suppressing adaptive immune responses. Using an anti-PD-1-resistant mouse melanoma model, we show that targeting the myeloid compartment via CD40 activation and CSF1R blockade in combination with anti-PD-1 results in complete tumor regression in a majority of mice. This triple therapy combination was primarily CD40 agonist-driven in the first 24 hours after therapy and showed a similar systemic cytokine profile in human patients as was seen in mice. Functional single-cell cytokine secretion profiling of dendritic cells (DC) using a novel microwell assay identified a CCL22+CCL5+ IL12-secreting DC subset as important early-stage effectors of triple therapy. CD4+ and CD8+ T cells are both critical effectors of treatment, and systems analysis of single-cell RNA sequencing data supported a role for DC-secreted IL12 in priming T-cell activation and recruitment. Finally, we showed that treatment with a novel IL12 mRNA therapeutic alone was sufficient to overcome PD-1 resistance and cause tumor regression. Overall, we conclude that combining myeloid-based innate immune activation and enhancement of adaptive immunity is a viable strategy to overcome anti-PD-1 resistance.
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Affiliation(s)
- Irina Krykbaeva
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Kate Bridges
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - William Damsky
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Gabriela A Pizzurro
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Amanda F Alexander
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Meaghan K McGeary
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Koonam Park
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Viswanathan Muthusamy
- Yale Center for Precision Cancer Modeling, Yale School of Medicine, New Haven, Connecticut
| | - James Eyles
- Oncology Research and Early Development, AstraZeneca, Cambridge, United Kingdom
| | - Nadia Luheshi
- Oncology Research and Early Development, AstraZeneca, Cambridge, United Kingdom
| | - Noel Turner
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Sarah A Weiss
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Kelly Olino
- Department of Surgery, Yale School of Medicine, New Haven, Connecticut
| | - Susan M Kaech
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute of Biological Sciences, La Jolla, California
| | - Harriet M Kluger
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Kathryn Miller-Jensen
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut
| | - Marcus Bosenberg
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Precision Cancer Modeling, Yale School of Medicine, New Haven, Connecticut
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut
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Li S, Xiao J, Yu Z, Li J, Shang H, Zhang L. Integrated analysis of C3AR1 and CD163 associated with immune infiltration in intracranial aneurysms pathogenesis. Heliyon 2023; 9:e14470. [PMID: 36942257 PMCID: PMC10024113 DOI: 10.1016/j.heliyon.2023.e14470] [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: 12/28/2022] [Revised: 02/04/2023] [Accepted: 03/07/2023] [Indexed: 03/14/2023] Open
Abstract
Background To identify potential immune-related biomarkers, molecular mechanism, and therapeutic agents of intracranial aneurysms (IAs). Methods We identified the differentially expressed genes (DEGs) between IAs and control samples from GSE75436, GSE26969, GSE6551, and GSE13353 datasets. We used weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) analysis to identify immune-related hub genes. We evaluated the expression of hub genes by using qRT-PCR analysis. Using miRNet, NetworkAnalyst, and DGIdb databases, we analyzed the regulatory networks and potential therapeutic agents targeting hub genes. Least absolute shrinkage and selection operator (LASSO) logistic regression was performed to identify optimal biomarkers among hub genes. The diagnostic value was validated by external GSE15629 dataset. Results We identified 227 DEGs and 22 differentially infiltrating immune cells between IAs and control samples from GSE75436, GSE26969, GSE6551, and GSE13353 datasets. We further identified 41 differentially expressed immune-related genes (DEIRGs), which were primarily enriched in the chemokine-mediated signaling pathway, myeloid leukocyte migration, endocytic vesicle membrane, chemokine receptor binding, chemokine activity, and viral protein interactions with cytokines and their receptors. Among 41 DEIRGs, 10 hub genes including C3AR1, CD163, CCL4, CXCL8, CCL3, TLR2, TYROBP, C1QB, FCGR3A, and FCGR1A were identified with good diagnostic values (AUC >0.7). Hsa-mir-27a-3p and transcription factors, including YY1 and GATA2, were identified the primary regulators of hub genes. 92 potential therapeutic agents targeting hub genes were predicted. C3AR1 and CD163 were finally identified as the best diagnostic biomarkers using LASSO logistic regression (AUC = 0.994). The diagnostic value of C3AR1 and CD163 was validated by the external GSE15629 dataset (AUC = 0.914). Conclusions This study revealed the importance of C3AR1 and CD163 in immune infiltration in IAs pathogenesis. Our finding provided a valuable reference for subsequent research on the potential targets for molecular mechanisms and intervention of IAs.
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Affiliation(s)
- Shengjie Li
- Nanchang University, Nanchang, China
- Department of Neurosurgery, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Corresponding author.
| | - Jinting Xiao
- Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Zaiyang Yu
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Junliang Li
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Hao Shang
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Lei Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
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Ex Vivo Generation of CAR Macrophages from Hematopoietic Stem and Progenitor Cells for Use in Cancer Therapy. Cells 2022; 11:cells11060994. [PMID: 35326445 PMCID: PMC8947001 DOI: 10.3390/cells11060994] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/11/2022] [Indexed: 12/21/2022] Open
Abstract
Chimeric antigen receptor (CAR) T-cell therapies have shown impressive results in patients with hematological malignancies; however, little success has been achieved in the treatment of solid tumors. Recently, macrophages (MΦs) were identified as an additional candidate for the CAR approach, and initial proof of concept studies using peripheral blood-derived monocytes showed antigen-redirected activation of CAR MΦs. However, some patients may not be suitable for monocyte-apheresis, and prior cancer treatment regimens may negatively affect immune cell number and functionality. To address this problem, we here introduce primary human hematopoietic stem and progenitor cells (HSPCs) as a cell source to generate functional CAR MΦs ex vivo. Our data showed successful CAR expression in cord blood (CB)-derived HSPCs, with considerable cell expansion during differentiation to CAR MΦs. HSPC-derived MΦs showed typical MΦ morphology, phenotype, and basic anti-bacterial functionality. CAR MΦs targeting the carcinoembryonic antigen (CEA) and containing either a DAP12- or a CD3ζ-derived signaling domain showed antigen redirected activation as they secreted pro-inflammatory cytokines specifically upon contact with CEA+ target cells. In addition, CD3ζ-expressing CAR MΦs exhibited significantly enhanced phagocytosis of CEA+ HT1080 cells. Our data establish human HSPCs as a suitable cell source to generate functional CAR MΦs and further support the use of CAR MΦs in the context of solid tumor therapy.
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