Modulation of hyaluronan production by CD44 positive glioma cells

Wiranowska, Marzenna; Ladd, Sharron; Moscinski, Lynn C.; Hill, Bobbye; Haller, Edward; Mikecz, Katalin; Plaas, Anna

doi:10.1002/ijc.25085

Cited by 42 publications

(31 citation statements)

References 70 publications

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“…It was observed that full length, large size HA had an antiangiogenic property, whereas smaller oligosaccharides after degradation (3-10 disaccharide units) were no longer anti-angiogenic (Deed et al 1997). We found that small size oligosaccharide, decamer HA-10, exogenously added to the cell culture stimulated HA production by glioma cells (Wiranowska et al 2010), as previously described for normal human fibroblasts (Luke and Prehm 1999). These authors found that displacement of nascent HA from the receptors by HA oligosaccharides led to stimulation of HA synthesis (Luke and Prehm 1999).…”

Section: Extracellular Matrix Molecules In Glioma 341 Glycosaminoglmentioning

confidence: 67%

“…We showed previously that blocking CD44 and interfering with HA-CD44 ligand-receptor interaction resulted in inhibition of glioma cell invasion, decreased HA production and led to glioma cell apoptosis (Wiranowska et al 1998, Wiranowska et al 2010. In addition, recent data by Xu et al showed that CD44 attenuates activation of the Hippo signaling pathway and that knockdown of CD44 expression resulted in the inhibition of glioblastoma.…”

Section: Targeting Ha and Cd44 Adhesion Moleculementioning

confidence: 93%

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Extracellular Matrix Microenvironment in Glioma Progression

Wiranowska¹,

Rojiani²

2011

Glioma - Exploring Its Biology and Practical Relevance

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Section: Extracellular Matrix Molecules In Glioma 341 Glycosaminoglmentioning

confidence: 67%

Section: Targeting Ha and Cd44 Adhesion Moleculementioning

confidence: 93%

Extracellular Matrix Microenvironment in Glioma Progression

Wiranowska¹,

Rojiani²

2011

Glioma - Exploring Its Biology and Practical Relevance

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“…The main component of brain ECM is the polysaccharide hyaluronic acid (HA) [20,21], which is a glycosaminoglycan made up of repeating disaccharides of D-glucuronic acid and N- acetyl-D-glucosamine. HA is constitutively produced within GBM tumors, [22,23] and its abundance is associated with cell proliferation and infiltration. Its cellular receptor CD44 is also overexpressed in GBM, and cells containing CD44 localize to the normal brain-tumor interface in vivo, suggesting that CD44-enriched cells are more efficient at invading the brain parenchyma [24,25].…”

Section: Role Of Microenvironment In Gbm Progressionmentioning

confidence: 99%

Engineering strategies to mimic the glioblastoma microenvironment

Rape

Ananthanarayanan

Kumar

2014

Advanced Drug Delivery Reviews

129

114

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Glioblastoma multiforme (GBM) is the most common and deadly brain tumor, with a mean survival time of only 21 months. Despite the dramatic improvements in our understanding of GBM fueled by recent revolutions in molecular and systems biology, treatment advances for GBM have progressed inadequately slowly, which is due in part to the wide cellular and molecular heterogeneity both across tumors and within a single tumor. Thus, there is increasing clinical interest in targeting cell-extrinsic factors as way of slowing or halting the progression of GBM. These cell-extrinsic factors, collectively termed the microenvironment, include the extracellular matrix, blood vessels, stromal cells that surround tumor cells, and all associated soluble and scaffold-bound signals. In this review, we will first describe the regulation of GBM tumors by these microenvironmental factors. Next, we will discuss the various in vitro approaches that have been exploited to recapitulate and model the GBM tumor microenvironment in vitro. We conclude by identifying future challenges and opportunities in this field, including the development of microenvironmental platforms amenable to high-throughput discovery and screening. We anticipate that these ongoing efforts will prove to be valuable both as enabling tools for accelerating our understanding of microenvironmental regulation in GBM and as foundations for next-generation molecular screening platforms that may serve as a conceptual bridge between traditional reductionist systems and animal or clinical studies.

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“…The HA receptor CD44 adhesion molecule, is highly expressed on the leading edge of glioma at the interface with the normal brain tissue signifying the importance of these ECM molecules in glioma invasion [13,15,17,18,20,21]. It was found recently that HA and its CD44 receptor may play an important role in the "stemness" and survival of cancer stem cells [4].…”

Section: Forewordmentioning

confidence: 99%

“…All of these molecules play important roles in cell signaling and migration [16]. In addition, HA was recognized as main ECM component that forms a microenvironment in which stem cells can undergo self-renewal [4].The HA receptor CD44 adhesion molecule, is highly expressed on the leading edge of glioma at the interface with the normal brain tissue signifying the importance of these ECM molecules in glioma invasion [13,15, 17, 18, 20, 21]. It was found recently that HA and its CD44 receptor may play an important role in the "stemness" and survival of cancer stem cells [4].…”

mentioning

confidence: 99%

Systems Biology of Tumor Microenvironment

Rejniak¹

2016

Advances in Experimental Medicine and Biology

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Advances in Experimental Medicine and Biology presents multidisciplinary and dynamic findings in the broad fields of experimental medicine and biology. The wide variety in topics it presents offers readers multiple perspectives on a variety of disciplines including neuroscience, microbiology, immunology, biochemistry, biomedical engineering and cancer research. Advances in Experimental Medicine and Biology has been publishing exceptional works in the field for over 30 years and is indexed in Medline, Scopus, EMBASE, BIOSIS, Biological Abstracts, CSA, Biological Sciences and Living Resources (ASFA-1), and Biological Sciences. The series also provides scientists with up to date information on emerging topics and techniques.More information about this series at http://www.springer.com/series/5584 Medicine and Biology ISBN 978-3-319-42021-9 ISBN 978-3-319-42023-3 (eBook) DOI 10.1007/978-3-319-42023-3 Library of Congress Control Number: 2016955061 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paperThis Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland ForewordDespite recent advances in the development of new targeted anticancer therapies, further efforts are necessary to account for the elusive behavior of cancer cells involving tumor heterogeneity and its associated stroma of the tumor microenvironment, which are providing continuous challenges for the design of new effective anti-tumor therapies.A new approach to understanding cancer biology and designing more effective therapies is mathematical modeling. Mathematical models are highly adaptable tools to deconvolute the complex, multidimensional datasets and make them amenable to analysis from different angles. The results from such studies may be instrumental in making this step forward.There is a multitude of tumor and microenvironment-associated signaling molecules, w...

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Modulation of hyaluronan production by CD44 positive glioma cells

Cited by 42 publications

References 70 publications

Extracellular Matrix Microenvironment in Glioma Progression

Extracellular Matrix Microenvironment in Glioma Progression

Engineering strategies to mimic the glioblastoma microenvironment

Systems Biology of Tumor Microenvironment

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