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Xu K, Huang Y, Wu M, Yin J, Wei P. 3D bioprinting of multi-cellular tumor microenvironment for prostate cancer metastasis. Biofabrication 2023; 15:035020. [PMID: 37236173 DOI: 10.1088/1758-5090/acd960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/26/2023] [Indexed: 05/28/2023]
Abstract
Prostate cancer (PCa) is one of the most lethal cancers in men worldwide. The tumor microenvironment (TME) plays an important role in PCa development, which consists of tumor cells, fibroblasts, endothelial cells, and extracellular matrix (ECM). Hyaluronic acid (HA) and cancer-associated fibroblasts (CAFs) are the major components in the TME and are correlated with PCa proliferation and metastasis, while the underlying mechanism is still not fully understood due to the lack of biomimetic ECM components and coculture models. In this study, gelatin methacryloyl/chondroitin sulfate-based hydrogels were physically crosslinked with HA to develop a novel bioink for the three-dimensional bioprinting of a coculture model that can be used to investigate the effect of HA on PCa behaviors and the mechanism underlying PCa-fibroblasts interaction. PCa cells demonstrated distinct transcriptional profiles under HA stimulation, where cytokine secretion, angiogenesis, and epithelial to mesenchymal transition were significantly upregulated. Further coculture of PCa with normal fibroblasts activated CAF transformation, which could be induced by the upregulated cytokine secretion of PCa cells. These results suggested HA could not only promote PCa metastasis individually but also induce PCa cells to activate CAF transformation and form HA-CAF coupling effects to further promote PCa drug resistance and metastasis.
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Affiliation(s)
- Kailei Xu
- Department of Plastic and Reconstructive Surgery, The First Affiliated Hospital, Ningbo University School of Medicine, Ningbo 315010, People's Republic of China
- Center for Medical and Engineering Innovation, Central Laboratory, The First Affiliated Hospital, Ningbo University School of Medicine, Ningbo, Zhejiang 315010, People's Republic of China
- Key Laboratory of Precision Medicine for Atherosclerotic Diseases of Zhejiang Province, Ningbo 315010, People's Republic of China
| | - Yuye Huang
- Department of Plastic and Reconstructive Surgery, The First Affiliated Hospital, Ningbo University School of Medicine, Ningbo 315010, People's Republic of China
- Center for Medical and Engineering Innovation, Central Laboratory, The First Affiliated Hospital, Ningbo University School of Medicine, Ningbo, Zhejiang 315010, People's Republic of China
| | - Miaoben Wu
- School of Medicine, Ningbo University, Ningbo 315211, People's Republic of China
| | - Jun Yin
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, People's Republic of China
| | - Peng Wei
- Department of Plastic and Reconstructive Surgery, The First Affiliated Hospital, Ningbo University School of Medicine, Ningbo 315010, People's Republic of China
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Abstract
Hyaluronic acid (HA), an important component of the extracellular matrix, has high water solubility and biocompatibility, and good application prospects in biomedicine. Especially in tumour treatment, prodrug polymer micelles prepared from HA and chemotherapeutics can increase water solubility, prolong drug release time, improve organ distribution and therapeutic effects, and show good tumour targeting and biocompatibility. Therefore, this study introduces strategies for using HA to prepare prodrug polymer micelles and discusses recent research on HA prodrug micelles for antitumor applications.
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Affiliation(s)
- Jiao Sun
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, Liaoning 116600, China
| | - Lingyu Han
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, Liaoning 116600, China
| | - Shubiao Zhang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, Liaoning 116600, China
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Zhao C, Zhang Z, Hu X, Zhang L, Liu Y, Wang Y, Guo Y, Zhang T, Li W, Li B. Hyaluronic Acid Correlates With Bone Metastasis and Predicts Poor Prognosis in Small-Cell Lung Cancer Patients. Front Endocrinol (Lausanne) 2021; 12:785192. [PMID: 35154001 PMCID: PMC8826575 DOI: 10.3389/fendo.2021.785192] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/24/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Hyaluronan (HA) is one of the essential elements of the extracellular matrix (ECM), involved in the onset of metastasis in various tumors. The interaction and binding of the ligand-receptor HA/cluster of differentiation-44 (CD44) regulate the physical and biochemical properties of the ECM, which correlates with an increased propensity toward metastasis and poor survival outcome. Our study aimed to explore HA for predicting metastasis and survival rate in patients with small-cell lung cancer (SCLC). MATERIALS AND METHODS This prospective cohort study recruited 72 patients with SCLC. Plasma HA and CD44 levels were assayed by enzyme-linked immunosorbent assay (ELISA) for 72 cases before initial systematic treatment (baseline samples), and plasma HA was detected via after-2-cycle-chemotherapy (A-2-C-CT) in 48 samples. Logistic regression analysis and the Cox proportional risk model were used to determine the independent predictors of distant metastasis and survival rate of patients. RESULTS Baseline plasma HA was notably associated with bone metastasis (BM) [OR (95% CI = 1.015 (1.006-1.024), p = 0.001]. Multivariate logistic regression analysis showed that baseline plasma HA was chosen as an independent predictor of BM. Either baseline HA or CD44 or both were associated with BM. Dynamic alteration of HA was notably associated with A-2-C-CT clinical efficacy. Multivariate Cox regression analysis in forward likelihood ratio showed that A-2-C-CT HA was an independent predictor of progression-free survival (PFS) and overall survival (OS). CONCLUSIONS HA appears to be used as an independent predictive factor for BM, and the dynamic detection of HA can predict prognosis in SCLC patients. The mechanism of the HA/CD44 axis in BM of SCLC deserves further exploration.
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Affiliation(s)
- Cong Zhao
- Department of Cellular and Molecular Biology, Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Zhiyun Zhang
- Department of Cellular and Molecular Biology, Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Xingsheng Hu
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lina Zhang
- Department of Cellular and Molecular Biology, Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China
| | - Yanxia Liu
- Department of Cellular and Molecular Biology, Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Ying Wang
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Yi Guo
- Department of Cellular and Molecular Biology, Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Tongmei Zhang
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
- *Correspondence: Weiying Li, ; Tongmei Zhang, ; Baolan Li,
| | - Weiying Li
- Department of Cellular and Molecular Biology, Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China
- *Correspondence: Weiying Li, ; Tongmei Zhang, ; Baolan Li,
| | - Baolan Li
- General Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
- *Correspondence: Weiying Li, ; Tongmei Zhang, ; Baolan Li,
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Roles of Proteoglycans and Glycosaminoglycans in Cancer Development and Progression. Int J Mol Sci 2020; 21:ijms21175983. [PMID: 32825245 PMCID: PMC7504257 DOI: 10.3390/ijms21175983] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 08/18/2020] [Accepted: 08/18/2020] [Indexed: 12/11/2022] Open
Abstract
The extracellular matrix (ECM) spatiotemporally controls cell fate; however, dysregulation of ECM remodeling can lead to tumorigenesis and cancer development by providing favorable conditions for tumor cells. Proteoglycans (PGs) and glycosaminoglycans (GAGs) are the major macromolecules composing ECM. They influence both cell behavior and matrix properties through direct and indirect interactions with various cytokines, growth factors, cell surface receptors, adhesion molecules, enzymes, and glycoproteins within the ECM. The classical features of PGs/GAGs play well-known roles in cancer angiogenesis, proliferation, invasion, and metastasis. Several lines of evidence suggest that PGs/GAGs critically affect broader aspects in cancer initiation and the progression process, including regulation of cell metabolism, serving as a sensor of ECM's mechanical properties, affecting immune supervision, and participating in therapeutic resistance to various forms of treatment. These functions may be implemented through the characteristics of PGs/GAGs as molecular bridges linking ECM and cells in cell-specific and context-specific manners within the tumor microenvironment (TME). In this review, we intend to present a comprehensive illustration of the ways in which PGs/GAGs participate in and regulate several aspects of tumorigenesis; we put forward a perspective regarding their effects as biomarkers or targets for diagnoses and therapeutic interventions.
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