Gewählte Publikation:
Seif, L.
Micro RNAs are determining tumor grade of meningiomas
Humanmedizin; [ Diplomarbeit ] Graz Medical University; 2017. pp. 54
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- Autor*innen der Med Uni Graz:
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Haybäck Johannes
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- Abstract:
- Abstract
Background
Micro RNAs are single-stranded noncoding RNAs of 19 to 24 nucleotides length. Since numerous cases are known in which dysregulated miRNAs correlate with human malignancies, investigating their function is imperative in order to understand the mechanism of tumor growth.
Nowadays molecular genetics are essential for the diagnosis of brain tumors.
The aim of this study was to find out whether miRNAs are determining tumor grade of intracranial tumors, in particular of meningiomas and whether diffuse astrocytomas, oligodendrogliomas and ependymomas show a different miRNA expression pattern.
On the occasion of the publication of the 2016 update of the 2007 WHO classification I asked myself in what way it is useful to apply molecular genetics for the diagnosis of grade I meningiomas since they are common tumors that can be reliably excised and have low proliferative potential.
Methods
In order to investigate the expression of seven miRNAs 12 meningioma tissue samples were examined. Four grade I, two grade II and three grade III tumor samples were chosen and compared to normal dural tissue. The miRNAs were extracted, translated and analysed by qPCR. The evaluation was performed with the delta-delta- CT method. The expression of miRNA-224, 145, 22, 151-3p, 103a, 628 and 148b was weighed against RNU 6B.
Results
miRNA 224 was overexpressed in eight of nine tumors independent of the grade. miRNA 145 in comparison was downregulated in four of nine tumors. miRNA 22, 151-3p, 103a, 628 and 148b did not display any tendency of an altered expression pattern.
Conclusion
We confirmed the overexpression of miRNA 224 and the downregulation of miRNA 145 as previously reported.
miRNA 22, 151-3p, 103a, 628 and 148b did not show any altered expression pattern.
In our collective grade III meningiomas showed the strongest heterogeneity. The Delta-Delta-CT values varied between 0, 29 und 136, 71. In order to substantiate the gathered data a larger number of tumors of different grades would be advantageous.