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You H, Geng S, Li S, Imani M, Brambilla D, Sun T, Jiang C. Recent advances in biomimetic strategies for the immunotherapy of glioblastoma. Biomaterials 2024; 311:122694. [PMID: 38959533 DOI: 10.1016/j.biomaterials.2024.122694] [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: 04/08/2024] [Revised: 06/22/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024]
Abstract
Immunotherapy is regarded as one of the most promising approaches for treating tumors, with a multitude of immunotherapeutic thoughts currently under consideration for the lethal glioblastoma (GBM). However, issues with immunotherapeutic agents, such as limited in vivo stability, poor blood-brain barrier (BBB) penetration, insufficient GBM targeting, and represented monotherapy, have hindered the success of immunotherapeutic interventions. Moreover, even with the aid of conventional drug delivery systems, outcomes remain suboptimal. Biomimetic strategies seek to overcome these formidable drug delivery challenges by emulating nature's intelligent structures and functions. Leveraging the variety of biological structures and functions, biomimetic drug delivery systems afford a versatile platform with enhanced biocompatibility for the co-delivery of diverse immunotherapeutic agents. Moreover, their inherent capacity to traverse the BBB and home in on GBM holds promise for augmenting the efficacy of GBM immunotherapy. Thus, this review begins by revisiting the various thoughts and agents on immunotherapy for GBM. Then, the barriers to successful GBM immunotherapy are analyzed, and the corresponding biomimetic strategies are explored from the perspective of function and structure. Finally, the clinical translation's current state and prospects of biomimetic strategy are addressed. This review aspires to provide fresh perspectives on the advancement of immunotherapy for GBM.
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Affiliation(s)
- Haoyu You
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Shuo Geng
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Shangkuo Li
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Mohammad Imani
- Department of Science, Iran Polymer and Petrochemical Institute, Tehran 14977-13115, Iran; Center for Nanoscience and Nanotechnology, Institute for Convergence Science & Technology, Tehran 14588-89694, Iran
| | - Davide Brambilla
- Faculty of Pharmacy, University of Montreal, Montreal Quebec H3T 1J4, Canada
| | - Tao Sun
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China.
| | - Chen Jiang
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
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2
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Song Y, Xue M, Wang F, Tang Q, Luo Y, Zheng M, Wang Y, Xue P, Dong N, Sun R, Fang M. Study on the Characteristics of Coarse Feeding Tolerance of Ding'an Pigs: Phenotypic and Candidate Genes Identification. Genes (Basel) 2024; 15:599. [PMID: 38790227 PMCID: PMC11121715 DOI: 10.3390/genes15050599] [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: 03/25/2024] [Revised: 04/28/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
Ding'an (DA) pig, a prominent local breed in Hainan Province, exhibits notable advantages in coarse feeding tolerance and high-quality meat. To explore the potential genetic mechanism of coarse feeding tolerance in DA pigs, 60-day-old full sibling pairs of DA and DLY (Duroc-Landrace-Yorkshire) pigs were subjected to fed normal (5%) and high (10%) crude fiber diets for 56 days, respectively. The findings showed that increasing the crude fiber level had no impact on the apparent digestibility of crude fiber, intramuscular fat, and marbling scores in DA pigs, whereas these factors were significantly reduced in DLY pigs (p < 0.05). Through differential expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA) of the colonic mucosal transcriptome data, 65 and 482 candidate genes with coarse feeding tolerance in DA pigs were identified, respectively. Joint analysis screened four key candidate genes, including LDHB, MLC1, LSG1, and ESM1, potentially serving as key regulated genes for coarse feeding tolerance. Functional analysis revealed that the most significant pathway enriched in differential genes associated with coarse feeding tolerance in Ding'an pigs was the signaling receptor binding. The results hold substantial significance for advancing our understanding of the genetic mechanisms governing coarse feeding tolerance in Ding'an pigs.
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Affiliation(s)
- Yanxia Song
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Mingming Xue
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Feng Wang
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Science, Haikou 571100, China; (F.W.); (R.S.)
| | - Qiguo Tang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Yabiao Luo
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Meili Zheng
- Beijing General Station of Animal Husbandry, Beijing 100107, China;
| | - Yubei Wang
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Pengxiang Xue
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Ningqi Dong
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Ruiping Sun
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Science, Haikou 571100, China; (F.W.); (R.S.)
| | - Meiying Fang
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
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Tan L, Zhou J, Nie Z, Li D, Wang B. EPHB2 as a key mediator of glioma progression: Insights from microenvironmental receptor ligand-related prognostic gene signature. Genomics 2024; 116:110799. [PMID: 38286348 DOI: 10.1016/j.ygeno.2024.110799] [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: 11/05/2023] [Revised: 01/05/2024] [Accepted: 01/22/2024] [Indexed: 01/31/2024]
Abstract
Malignant gliomas, characterized by pronounced heterogeneity, a complex microenvironment, and a propensity for relapse and drug resistaniguree, pose significant challenges in oncology. This study aimed to investigate the prognostic value of Ligand and Receptor related genes (LRRGs) within the glioma microenvironment. An intersection of 71 ligand-related genes (LRGs) and 2628 receptor-related genes (RRGs) yielded a total of 69 LRRGs. Utilizing the least absolute shrinkage and selection operator (LASSO) regression analysis, a prognostic RiskScore model comprising 28 LRRGs was constructed. The model demonstrated robust prognostic value, further validated in the TCGA-GBMLGG dataset. Subsequent analyses included differential gene expression, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment (GSEA), and gene set variation (GSVA) within RiskScore groups. Additionally, evaluations of PPI, mRNA-RBP, mRNA-TF, and mRNA-drug interaction networks were conducted. Four hub genes were identified through differential expression analysis of the 28 LRRGs across various GSE datasets. A multivariate Cox prognostic model was constructed for nomogram analysis, gene mutation analysis, and related expression distribution. This study underscores the role of LRRGs in intercellular communication within the glioma microenvironment and identifies four hub genes crucial for prognostic assessment in clinical glioma patients. These findings offer a potential evaluation framework for glioma patients, enhancing our understanding of the disease and informing future therapeutic strategies.
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Affiliation(s)
- Liming Tan
- The Second Affiliated Hospital, Department of Neurosurgery, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Jingyuan Zhou
- The Second Affiliated Hospital, Department of Neurosurgery, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Zhenyu Nie
- The Second Affiliated Hospital, Department of Neurosurgery, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Ding Li
- The Second Affiliated Hospital, Department of Neurosurgery, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Bing Wang
- The Second Affiliated Hospital, Department of Neurosurgery, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
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Yalcin F, Haneke H, Efe IE, Kuhrt LD, Motta E, Nickl B, Flüh C, Synowitz M, Dzaye O, Bader M, Kettenmann H. Tumor associated microglia/macrophages utilize GPNMB to promote tumor growth and alter immune cell infiltration in glioma. Acta Neuropathol Commun 2024; 12:50. [PMID: 38566120 PMCID: PMC10985997 DOI: 10.1186/s40478-024-01754-7] [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: 03/14/2023] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Tumor-associated microglia and blood-derived macrophages (TAMs) play a central role in modulating the immune suppressive microenvironment in glioma. Here, we show that GPNMB is predominantly expressed by TAMs in human glioblastoma multiforme and the murine RCAS-PDGFb high grade glioma model. Loss of GPNMB in the in vivo tumor microenvironment results in significantly smaller tumor volumes and generates a pro-inflammatory innate and adaptive immune cell microenvironment. The impact of host-derived GPNMB on tumor growth was confirmed in two distinct murine glioma cell lines in organotypic brain slices from GPNMB-KO and control mice. Using published data bases of human glioma, the elevated levels in TAMs could be confirmed and the GPNMB expression correlated with a poorer survival.
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Affiliation(s)
- Fatih Yalcin
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Institute of Pathology, Christian-Albrecht University of Kiel, Kiel, Germany
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Hannah Haneke
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Ibrahim E Efe
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Leonard D Kuhrt
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Edyta Motta
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Bernadette Nickl
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Charlotte Flüh
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Michael Synowitz
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Omar Dzaye
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Bader
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Charité Universitätsmedizin Berlin, Berlin, Germany
- Institute for Biology, University of Lübeck, Lübeck, Germany
| | - Helmut Kettenmann
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
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Price MJ, Nguyen AD, Haines C, Baëta CD, Byemerwa J, Murkajee D, Artham S, Kumar V, Lavau C, Wardell S, Varghese S, Goodwin CR. UDP-6-glucose dehydrogenase in hormonally responsive breast cancers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.20.585919. [PMID: 38562874 PMCID: PMC10983948 DOI: 10.1101/2024.03.20.585919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Survival for metastatic breast cancer is low and thus, continued efforts to treat and prevent metastatic progression are critical. Estrogen is shown to promote aggressive phenotypes in multiple cancer models irrespective of estrogen receptor (ER) status. Similarly, UDP-Glucose 6-dehydrogenase (UGDH) a ubiquitously expressed enzyme involved in extracellular matrix precursors, as well as hormone processing increases migratory and invasive properties in cancer models. While the role of UGDH in cellular migration is defined, how it intersects with and impacts hormone signaling pathways associated with tumor progression in metastatic breast cancer has not been explored. Here we demonstrate that UGDH knockdown blunts estrogen-induced tumorigenic phenotypes (migration and colony formation) in ER+ and ER- breast cancer in vitro. Knockdown of UGDH also inhibits extravasation of ER- breast cancer ex vivo, primary tumor growth and animal survival in vivo in both ER+ and ER- breast cancer. We also use single cell RNA-sequencing to demonstrate that our findings translate to a human breast cancer clinical specimen. Our findings support the role of estrogen and UGDH in breast cancer progression provide a foundation for future studies to evaluate the role of UGDH in therapeutic resistance to improve outcomes and survival for breast cancer patients.
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Affiliation(s)
- Meghan J Price
- Department of Neurosurgery, Duke University Medical Center, University School of Medicine, Durham, NC, USA
- Department of Medicine, John Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287, USA
| | - Annee D Nguyen
- Department of Neurosurgery, Duke University Medical Center, University School of Medicine, Durham, NC, USA
| | - Corinne Haines
- Department of Molecular Genetics, Ohio State University, 1060 Carmack Road, Columbus, OH 43210, USA
| | - César D Baëta
- Department of Neurosurgery, Duke University Medical Center, University School of Medicine, Durham, NC, USA
- Center for Population Health Sciences, Stanford University, 1701 Page Mill Road, Palo Alto, CA 94304, USA
| | - Jovita Byemerwa
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, University School of Medicine, Durham, NC, USA
| | - Debarati Murkajee
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, University School of Medicine, Durham, NC, USA
| | - Sandeep Artham
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, University School of Medicine, Durham, NC, USA
| | - Vardhman Kumar
- Department of Biomedical Engineering, Duke University Medical Center, Durham, NC, USA
| | - Catherine Lavau
- Department of Neurosurgery, Duke University Medical Center, University School of Medicine, Durham, NC, USA
| | - Suzanne Wardell
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, University School of Medicine, Durham, NC, USA
| | - Shyni Varghese
- Department of Biomedical Engineering, Duke University Medical Center, Durham, NC, USA
- Department of Orthopedic Surgery, Duke University Medical Center, Durham, NC, USA
| | - C Rory Goodwin
- Department of Neurosurgery, Duke University Medical Center, University School of Medicine, Durham, NC, USA
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Harrington BS, Kamdar R, Ning F, Korrapati S, Caminear MW, Hernandez LF, Butcher D, Edmondson EF, Traficante N, Hendley J, Gough M, Rogers R, Lourie R, Shetty J, Tran B, Elloumi F, Abdelmaksoud A, Nag ML, Mazan-Mamczarz K, House CD, Hooper JD, Annunziata CM. UGDH promotes tumor-initiating cells and a fibroinflammatory tumor microenvironment in ovarian cancer. J Exp Clin Cancer Res 2023; 42:270. [PMID: 37858159 PMCID: PMC10585874 DOI: 10.1186/s13046-023-02820-z] [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: 04/28/2023] [Accepted: 09/02/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND Epithelial ovarian cancer (EOC) is a global health burden, with the poorest five-year survival rate of the gynecological malignancies due to diagnosis at advanced stage and high recurrence rate. Recurrence in EOC is driven by the survival of chemoresistant, stem-like tumor-initiating cells (TICs) that are supported by a complex extracellular matrix and immunosuppressive microenvironment. To target TICs to prevent recurrence, we identified genes critical for TIC viability from a whole genome siRNA screen. A top hit was the cancer-associated, proteoglycan subunit synthesis enzyme UDP-glucose dehydrogenase (UGDH). METHODS Immunohistochemistry was used to characterize UGDH expression in histological and molecular subtypes of EOC. EOC cell lines were subtyped according to the molecular subtypes and the functional effects of modulating UGDH expression in vitro and in vivo in C1/Mesenchymal and C4/Differentiated subtype cell lines was examined. RESULTS High UGDH expression was observed in high-grade serous ovarian cancers and a distinctive survival prognostic for UGDH expression was revealed when serous cancers were stratified by molecular subtype. High UGDH was associated with a poor prognosis in the C1/Mesenchymal subtype and low UGDH was associated with poor prognosis in the C4/Differentiated subtype. Knockdown of UGDH in the C1/mesenchymal molecular subtype reduced spheroid formation and viability and reduced the CD133 + /ALDH high TIC population. Conversely, overexpression of UGDH in the C4/Differentiated subtype reduced the TIC population. In co-culture models, UGDH expression in spheroids affected the gene expression of mesothelial cells causing changes to matrix remodeling proteins, and fibroblast collagen production. Inflammatory cytokine expression of spheroids was altered by UGDH expression. The effect of UGDH knockdown or overexpression in the C1/ Mesenchymal and C4/Differentiated subtypes respectively was tested on mouse intrabursal xenografts and showed dynamic changes to the tumor stroma. Knockdown of UGDH improved survival and reduced tumor burden in C1/Mesenchymal compared to controls. CONCLUSIONS These data show that modulation of UGDH expression in ovarian cancer reveals distinct roles for UGDH in the C1/Mesenchymal and C4/Differentiated molecular subtypes of EOC, influencing the tumor microenvironmental composition. UGDH is a strong potential therapeutic target in TICs, for the treatment of EOC, particularly in patients with the mesenchymal molecular subtype.
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Affiliation(s)
- Brittney S Harrington
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Rahul Kamdar
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Franklin Ning
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Soumya Korrapati
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Michael W Caminear
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Lidia F Hernandez
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Donna Butcher
- Molecular Histopathology Laboratory, Frederick National Laboratory for Cancer Research, NCI, Frederick, MD, 21702, USA
| | - Elijah F Edmondson
- Molecular Histopathology Laboratory, Frederick National Laboratory for Cancer Research, NCI, Frederick, MD, 21702, USA
| | - Nadia Traficante
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Joy Hendley
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Madeline Gough
- Mater Brisbane Hospital, Mater Health Services, South Brisbane, QLD, 4101, Australia
- Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD, 4102, Australia
| | - Rebecca Rogers
- Mater Brisbane Hospital, Mater Health Services, South Brisbane, QLD, 4101, Australia
| | - Rohan Lourie
- Mater Brisbane Hospital, Mater Health Services, South Brisbane, QLD, 4101, Australia
- Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD, 4102, Australia
| | - Jyoti Shetty
- CCR Sequencing Facility, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Bao Tran
- CCR Sequencing Facility, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Fathi Elloumi
- Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Abdalla Abdelmaksoud
- Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Madhu Lal Nag
- Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Krystyna Mazan-Mamczarz
- Functional Genomics Lab, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Carrie D House
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
- Present address: Department of Biology, San Diego State University, San Diego, CA, 92182, USA
| | - John D Hooper
- Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD, 4102, Australia
| | - Christina M Annunziata
- Women's Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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7
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Price MJ, Nguyen AD, Byemerwa JK, Flowers J, Baëta CD, Goodwin CR. UDP-glucose dehydrogenase (UGDH) in clinical oncology and cancer biology. Oncotarget 2023; 14:843-857. [PMID: 37769033 PMCID: PMC10538703 DOI: 10.18632/oncotarget.28514] [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: 08/02/2023] [Accepted: 09/04/2023] [Indexed: 09/30/2023] Open
Abstract
UDP-glucose-6-dehydrogenase (UGDH) is a cytosolic, hexameric enzyme that converts UDP-glucose to UDP-glucuronic acid (UDP-GlcUA), a key reaction in hormone and xenobiotic metabolism and in the production of extracellular matrix precursors. In this review, we classify UGDH as a molecular indicator of tumor progression in multiple cancer types, describe its involvement in key canonical cancer signaling pathways, and identify methods to inhibit UGDH, its substrates, and its downstream products. As such, we position UGDH as an enzyme to be exploited as a potential prognostication marker in oncology and a therapeutic target in cancer biology.
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Affiliation(s)
- Meghan J. Price
- Department of Internal Medicine, John Hopkins Hospital, Baltimore, MD 21287, USA
| | - Annee D. Nguyen
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Jovita K. Byemerwa
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708, USA
| | - Jasmine Flowers
- Department of Neurosurgery, Associated with Duke University Medical Center, Durham, NC 27710, USA
| | - César D. Baëta
- Department of Epidemiology and Clinical Research, Stanford University, Stanford, CA 94305, USA
| | - C. Rory Goodwin
- Department of Neurosurgery, Duke Center for Brain and Spine Metastasis and Duke Cancer Institute, Durham, NC 27710, USA
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8
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Massenzio F, Cambiaghi M, Marchiotto F, Boriero D, Limatola C, D’Alessandro G, Buffelli M. In vivo morphological alterations of TAMs during KCa3.1 inhibition-by using in vivo two-photon time-lapse technology. Front Cell Neurosci 2022; 16:1002487. [PMID: 36589283 PMCID: PMC9798303 DOI: 10.3389/fncel.2022.1002487] [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: 07/25/2022] [Accepted: 11/25/2022] [Indexed: 12/23/2022] Open
Abstract
Tumor associated macrophages (TAMs) are the mostprevalent cells recruited in the tumor microenvironment (TME). Once recruited, TAMs acquire a pro-tumor phenotype characterized by a typical morphology: ameboid in the tumor core and with larger soma and thick branches in the tumor periphery. Targeting TAMs by reverting them to an anti-tumor phenotype is a promising strategy for cancer immunotherapy. Taking advantage of Cx3cr1GFP/WT heterozygous mice implanted with murine glioma GL261-RFP cells we investigated the role of Ca2+-activated K+ channel (KCa3.1) on the phenotypic shift of TAMs at the late stage of glioma growth through in vivo two-photon imaging. We demonstrated that TAMs respond promptly to KCa3.1 inhibition using a selective inhibitor of the channel (TRAM-34) in a time-dependent manner by boosting ramified projections attributable to a less hypertrophic phenotype in the tumor core. We also revealed a selective effect of drug treatment by reducing both glioma cells and TAMs in the tumor core with no interference with surrounding cells. Taken together, our data indicate a TRAM-34-dependent progressive morphological transformation of TAMs toward a ramified and anti-tumor phenotype, suggesting that the timing of KCa3.1 inhibition is a key point to allow beneficial effects on TAMs.
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Affiliation(s)
- Francesca Massenzio
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy,*Correspondence: Mario Buffelli Francesca Massenzio
| | - Marco Cambiaghi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Federica Marchiotto
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Diana Boriero
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Cristina Limatola
- Department of Physiology and Pharmacology, Sapienza University of Rome, Rome, Italy,IRCCS Neuromed, Pozzilli, Italy
| | - Giuseppina D’Alessandro
- Department of Physiology and Pharmacology, Sapienza University of Rome, Rome, Italy,IRCCS Neuromed, Pozzilli, Italy
| | - Mario Buffelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy,*Correspondence: Mario Buffelli Francesca Massenzio
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