Composition of the extracellular matrix in human gliomas

H. Bárdos, P. Molnár, György Csecsei, R. Ádány

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The extracellular matrix (ECM) components are involved in important cellular functions, such as differentiation, proliferation, migration, and adhesion, in both the normal nervous system and extracranial tumors. The major classes of macromolecules in the ECM of non-neural tissues are collagens, proteoglycans, and glycoproteins. In gliomas type I collagen can always be detected within the vessel walls in the endothelial glomerulus-like proliferations and in the perivascular ECM, but can be found only irregularly in some connective tissue septa between the tumor cell nodules. The tissue distribution of tenascin is much more restricted than that of other ECM macromolecules. A distinct aspect of tumor progression in gliomas is diminution of glial and increase of ECM expression with increased malignancy. M. Schrappe and coworkers demonstrated the accumulation of a CSPG recognized by monoclonal antibody 9.2.27 in the perivascular ECM of proliferating capillaries in glioblastomas.

Original languageEnglish
Title of host publicationTumor Matrix Biology
PublisherCRC Press
Pages131-144
Number of pages14
ISBN (Electronic)9781351355803
ISBN (Print)9781138550476
DOIs
Publication statusPublished - Jan 1 2017

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Glioma
Extracellular Matrix
Nervous System Neoplasms
Tenascin
Neoplasms
Tissue Distribution
Proteoglycans
Glioblastoma
Collagen Type I
Neuroglia
Connective Tissue
Glycoproteins
Collagen
Monoclonal Antibodies

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Composition of the extracellular matrix in human gliomas. / Bárdos, H.; Molnár, P.; Csecsei, György; Ádány, R.

Tumor Matrix Biology. CRC Press, 2017. p. 131-144.

Research output: Chapter in Book/Report/Conference proceedingChapter

Bárdos, H. ; Molnár, P. ; Csecsei, György ; Ádány, R. / Composition of the extracellular matrix in human gliomas. Tumor Matrix Biology. CRC Press, 2017. pp. 131-144
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