Tumor Grade versus Expression of Invasion-Related Molecules in Astrocytoma
| Autor: | Gergő Kalló, László Bognár, Almos Klekner, József Virga, Judit Reményi-Puskár, Éva Csősz, Gábor Hutóczki, Tibor Hortobágyi, László Steiner, Judit Tóth, Gábor Zahuczky |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Cancer Research Pathology medicine.medical_specialty MMP2 Astrocytoma Klinikai orvostudományok Pathology and Forensic Medicine Extracellular matrix 03 medical and health sciences Glioma Biomarkers Tumor medicine Humans Neoplasm Invasiveness RNA Messenger Brevican Messenger RNA biology Brain Neoplasms Brain General Medicine Orvostudományok Prognosis medicine.disease Gene Expression Regulation Neoplastic Fibronectin 030104 developmental biology Oncology Case-Control Studies biology.protein Versican Neoplasm Grading Follow-Up Studies |
| Popis: | Peritumoral infiltration is characteristic of astrocytomas even in low-grade tumors. Tumor cells migrate to neighbouring tissue and cause recurrence. The extracellular matrix (ECM) plays a role in tumor invasion; expression levels of its components' have been linked to tumor invasion. This study determines the mRNA and protein expression of 20 invasion-related ECM components by examining non-tumor brain; grade I-II-III astrocytoma and glioblastoma samples. Expression levels were measured by QRT-PCR and mass-spectroscopy. The connection between the expression pattern and tumor grade is statistically analyzed. During the analysis of data, key molecules (brevican, cadherin-12, fibronectin and integrin-β1) correlating the most with tumor grade were selected. While the mRNA level of brevican, ErbB2, fibronectin, integrin-β1 and versican discriminates low-grade from high-grade gliomas, of proteins RHAMM, integrin-α1 and MMP2 seems important. The expression pattern was found to be distinctive for tumor grade, as statistical classifiers are capable of identifying an unknown sample's grade using them. Furthermore, normal brain and glioma expression patterns, along with low-grade astrocytoma and glioblastoma samples, differ the most. Determining the invasion-related molecules' expression profile provides extra information regarding the tumor's clinical behavior. Additionally, identifying molecules playing a key role in glioma invasion could uncover potential therapeutic targets in the future. |
| Databáze: | OpenAIRE |
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