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Mongiat M, Pascal G, Poletto E, Williams DM, Iozzo RV. Proteoglycans of basement membranes: Crucial controllers of angiogenesis, neurogenesis, and autophagy. PROTEOGLYCAN RESEARCH 2024; 2:e22. [PMID: 39184370 PMCID: PMC11340296 DOI: 10.1002/pgr2.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 06/02/2024] [Indexed: 08/27/2024]
Abstract
Anti-angiogenic therapy is an established method for the treatment of several cancers and vascular-related diseases. Most of the agents employed target the vascular endothelial growth factor A, the major cytokine stimulating angiogenesis. However, the efficacy of these treatments is limited by the onset of drug resistance. Therefore, it is of fundamental importance to better understand the mechanisms that regulate angiogenesis and the microenvironmental cues that play significant role and influence patient treatment and outcome. In this context, here we review the importance of the three basement membrane heparan sulfate proteoglycans (HSPGs), namely perlecan, agrin and collagen XVIII. These HSPGs are abundantly expressed in the vasculature and, due to their complex molecular architecture, they interact with multiple endothelial cell receptors, deeply affecting their function. Under normal conditions, these proteoglycans exert pro-angiogenic functions. However, in pathological conditions such as cancer and inflammation, extracellular matrix remodeling leads to the degradation of these large precursor molecules and the liberation of bioactive processed fragments displaying potent angiostatic activity. These unexpected functions have been demonstrated for the C-terminal fragments of perlecan and collagen XVIII, endorepellin and endostatin. These bioactive fragments can also induce autophagy in vascular endothelial cells which contributes to angiostasis. Overall, basement membrane proteoglycans deeply affect angiogenesis counterbalancing pro-angiogenic signals during tumor progression, and represent possible means to develop new prognostic biomarkers and novel therapeutic approaches for the treatment of solid tumors.
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Affiliation(s)
- Maurizio Mongiat
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy
| | - Gabriel Pascal
- Department of Pathology and Genomic Medicine, and the Translational Cellular Oncology Program, Sidney Kimmel Cancer Center, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Evelina Poletto
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy
| | - Davion M. Williams
- Department of Pathology and Genomic Medicine, and the Translational Cellular Oncology Program, Sidney Kimmel Cancer Center, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Renato V. Iozzo
- Department of Pathology and Genomic Medicine, and the Translational Cellular Oncology Program, Sidney Kimmel Cancer Center, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA
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Tang DY, Mao YJ, Zhao J, Yang J, Li SY, Ren FX, Zheng J. SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions. BMC Genomics 2024; 25:462. [PMID: 38735952 DOI: 10.1186/s12864-024-10373-4] [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: 12/29/2023] [Accepted: 05/03/2024] [Indexed: 05/14/2024] Open
Abstract
BACKGROUND Detecting epistatic interactions (EIs) involves the exploration of associations among single nucleotide polymorphisms (SNPs) and complex diseases, which is an important task in genome-wide association studies. The EI detection problem is dependent on epistasis models and corresponding optimization methods. Although various models and methods have been proposed to detect EIs, identifying EIs efficiently and accurately is still a challenge. RESULTS Here, we propose a linear mixed statistical epistasis model (LMSE) and a spherical evolution approach with a feedback mechanism (named SEEI). The LMSE model expands the existing single epistasis models such as LR-Score, K2-Score, Mutual information, and Gini index. The SEEI includes an adaptive spherical search strategy and population updating strategy, which ensures that the algorithm is not easily trapped in local optima. We analyzed the performances of 8 random disease models, 12 disease models with marginal effects, 30 disease models without marginal effects, and 10 high-order disease models. The 60 simulated disease models and a real breast cancer dataset were used to evaluate eight algorithms (SEEI, EACO, EpiACO, FDHEIW, MP-HS-DHSI, NHSA-DHSC, SNPHarvester, CSE). Three evaluation criteria (pow1, pow2, pow3), a T-test, and a Friedman test were used to compare the performances of these algorithms. The results show that the SEEI algorithm (order 1, averages ranks = 13.125) outperformed the other algorithms in detecting EIs. CONCLUSIONS Here, we propose an LMSE model and an evolutionary computing method (SEEI) to solve the optimization problem of the LMSE model. The proposed method performed better than the other seven algorithms tested in its ability to identify EIs in genome-wide association datasets. We identified new SNP-SNP combinations in the real breast cancer dataset and verified the results. Our findings provide new insights for the diagnosis and treatment of breast cancer. AVAILABILITY AND IMPLEMENTATION https://github.com/scutdy/SSO/blob/master/SEEI.zip .
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Affiliation(s)
- De-Yu Tang
- Department of Computer Science, School of Mathematics and Informatics, School of Software Engineering, South China Agricultural University, Guangzhou, 510642, PR China.
- School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
| | - Yi-Jun Mao
- Department of Computer Science, School of Mathematics and Informatics, School of Software Engineering, South China Agricultural University, Guangzhou, 510642, PR China.
| | - Jie Zhao
- School of Management, Guangdong University of Technology, Guangzhou, 510006, PR China
| | - Jin Yang
- School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
| | - Shi-Yin Li
- School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China
| | - Fu-Xiang Ren
- School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China
| | - Junxi Zheng
- School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
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Devarajan R, Izzi V, Peltoketo H, Rask G, Kauppila S, Väisänen MR, Ruotsalainen H, Martínez-Nieto G, Karppinen SM, Väisänen T, Kaur I, Koivunen J, Sasaki T, Winqvist R, Manninen A, Wärnberg F, Sund M, Pihlajaniemi T, Heljasvaara R. Targeting collagen XVIII improves the efficiency of ErbB inhibitors in breast cancer models. J Clin Invest 2023; 133:e159181. [PMID: 37498672 DOI: 10.1172/jci159181] [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: 03/31/2022] [Accepted: 07/20/2023] [Indexed: 07/29/2023] Open
Abstract
The tumor extracellular matrix (ECM) critically regulates cancer progression and treatment response. Expression of the basement membrane component collagen XVIII (ColXVIII) is induced in solid tumors, but its involvement in tumorigenesis has remained elusive. We show here that ColXVIII was markedly upregulated in human breast cancer (BC) and was closely associated with a poor prognosis in high-grade BCs. We discovered a role for ColXVIII as a modulator of epidermal growth factor receptor tyrosine kinase (ErbB) signaling and show that it forms a complex with ErbB1 and -2 (also known as EGFR and human epidermal growth factor receptor 2 [HER2]) and α6-integrin to promote cancer cell proliferation in a pathway involving its N-terminal portion and the MAPK/ERK1/2 and PI3K/AKT cascades. Studies using Col18a1 mouse models crossed with the mouse mammary tumor virus-polyoma virus middle T antigen (MMTV-PyMT) mammary carcinogenesis model showed that ColXVIII promoted BC growth and metastasis in a tumor cell-autonomous manner. Moreover, the number of mammary cancer stem cells was significantly reduced in the MMTV-PyMT and human cell models upon ColXVIII inhibition. Finally, ablation of ColXVIII substantially improved the efficacy of ErbB-targeting therapies in both preclinical models. In summary, ColXVIII was found to sustain the stemness properties of BC cells and tumor progression and metastasis through ErbB signaling, suggesting that targeting ColXVIII in the tumor milieu may have important therapeutic potential.
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Affiliation(s)
- Raman Devarajan
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit
- Biocenter Oulu, and
| | - Valerio Izzi
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
- Research Unit of Biomedicine, University of Oulu, Oulu, Finland
- Finnish Cancer Research Institute, Helsinki, Finland
| | - Hellevi Peltoketo
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit
- Biocenter Oulu, and
| | - Gunilla Rask
- Department of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden
| | - Saila Kauppila
- Department of Pathology, Oulu University Hospital and University of Oulu, Oulu, Finland
- Northern Finland Laboratory Centre, NordLab, Oulu, Finland
| | | | - Heli Ruotsalainen
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
| | | | - Sanna-Maria Karppinen
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
| | - Timo Väisänen
- Department of Pathology, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Inderjeet Kaur
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
| | - Jussi Koivunen
- Department of Medical Oncology and Radiotherapy and Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Takako Sasaki
- Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit
- Biocenter Oulu, and
- Northern Finland Laboratory Centre, NordLab, Oulu, Finland
| | - Aki Manninen
- Disease Networks Research Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland
| | - Fredrik Wärnberg
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Malin Sund
- Department of Surgery and Perioperative Sciences/Surgery, Umeå University, Umeå, Sweden
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Taina Pihlajaniemi
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
| | - Ritva Heljasvaara
- Oulu Center for Cell-Matrix Research, Faculty of Biochemistry and Molecular Medicine
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Wang Q, Chi L. The Alterations and Roles of Glycosaminoglycans in Human Diseases. Polymers (Basel) 2022; 14:polym14225014. [PMID: 36433141 PMCID: PMC9694910 DOI: 10.3390/polym14225014] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
Glycosaminoglycans (GAGs) are a heterogeneous family of linear polysaccharides which are composed of a repeating disaccharide unit. They are also linked to core proteins to form proteoglycans (PGs). GAGs/PGs are major components of the cell surface and the extracellular matrix (ECM), and they display critical roles in development, normal function, and damage response in the body. Some properties (such as expression quantity, molecular weight, and sulfation pattern) of GAGs may be altered under pathological conditions. Due to the close connection between these properties and the function of GAGs/PGs, the alterations are often associated with enormous changes in the physiological/pathological status of cells and organs. Therefore, these GAGs/PGs may serve as marker molecules of disease. This review aimed to investigate the structural alterations and roles of GAGs/PGs in a range of diseases, such as atherosclerosis, cancer, diabetes, neurodegenerative disease, and virus infection. It is hoped to provide a reference for disease diagnosis, monitoring, prognosis, and drug development.
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Huang YF, Mizumoto S, Fujita M. Novel Insight Into Glycosaminoglycan Biosynthesis Based on Gene Expression Profiles. Front Cell Dev Biol 2021; 9:709018. [PMID: 34552927 PMCID: PMC8450405 DOI: 10.3389/fcell.2021.709018] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 08/18/2021] [Indexed: 01/11/2023] Open
Abstract
Glycosaminoglycans (GAGs) including chondroitin sulfate, dermatan sulfate, heparan sulfate, and keratan sulfate, except for hyaluronan that is a free polysaccharide, are covalently attached to core proteins to form proteoglycans. More than 50 gene products are involved in the biosynthesis of GAGs. We recently developed a comprehensive glycosylation mapping tool, GlycoMaple, for visualization and estimation of glycan structures based on gene expression profiles. Using this tool, the expression levels of GAG biosynthetic genes were analyzed in various human tissues as well as tumor tissues. In brain and pancreatic tumors, the pathways for biosynthesis of chondroitin and dermatan sulfate were predicted to be upregulated. In breast cancerous tissues, the pathways for biosynthesis of chondroitin and dermatan sulfate were predicted to be up- and down-regulated, respectively, which are consistent with biochemical findings published in the literature. In addition, the expression levels of the chondroitin sulfate-proteoglycan versican and the dermatan sulfate-proteoglycan decorin were up- and down-regulated, respectively. These findings may provide new insight into GAG profiles in various human diseases including cancerous tumors as well as neurodegenerative disease using GlycoMaple analysis.
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Affiliation(s)
- Yi-Fan Huang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Shuji Mizumoto
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Morihisa Fujita
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
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ERKAYIRAN U, TOK A, KARAKÜÇÜK S, SEYİTHANOĞLU M, ARSLANCA T. Evaluation of serum perlecan levels in pregnancy with mild and severe preeclampsia. JOURNAL OF HEALTH SCIENCES AND MEDICINE 2021. [DOI: 10.32322/jhsm.913654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Proteoglycans in the Pathogenesis of Hormone-Dependent Cancers: Mediators and Effectors. Cancers (Basel) 2020; 12:cancers12092401. [PMID: 32847060 PMCID: PMC7563227 DOI: 10.3390/cancers12092401] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 08/16/2020] [Accepted: 08/18/2020] [Indexed: 12/21/2022] Open
Abstract
Hormone-dependent cancers exhibit high morbidity and mortality. In spite of advances in therapy, the treatment of hormone-dependent cancers remains an unmet health need. The tumor microenvironment (TME) exhibits unique characteristics that differ among various tumor types. It is composed of cancerous, non-cancerous, stromal, and immune cells that are surrounded and supported by components of the extracellular matrix (ECM). Therefore, the interactions among cancer cells, stromal cells, and components of the ECM determine cancer progression and response to therapy. Proteoglycans (PGs), hybrid molecules consisting of a protein core to which sulfated glycosaminoglycan chains are bound, are significant components of the ECM that are implicated in all phases of tumorigenesis. These molecules, secreted by both the stroma and cancer cells, are crucial signaling mediators that modulate the vital cellular pathways implicated in gene expression, phenotypic versatility, and response to therapy in specific tumor types. A plethora of deregulated signaling pathways contributes to the growth, dissemination, and angiogenesis of hormone-dependent cancers. Specific inputs from the endocrine and immune systems are some of the characteristics of hormone-dependent cancer pathogenesis. Importantly, the mechanisms involved in various aspects of cancer progression are executed in the ECM niche of the TME, and the PG components crucially mediate these processes. Here, we comprehensively discuss the mechanisms through which PGs affect the multifaceted aspects of hormone-dependent cancer development and progression, including cancer metastasis, angiogenesis, immunobiology, autophagy, and response to therapy.
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