Correlation between interactive and molecular profile in glioma:a multicentric analysis of 100 patients
EANS Academy. Gandia Gonzalez M. 09/25/19; 275785; EP03109
Dr. Maria Luisa Gandia Gonzalez
Dr. Maria Luisa Gandia Gonzalez

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Abstract
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Background: We analyzed the correlation between radiological data, IDH mutation, gene expression profiling and metabolic signature in glioma.
Methods: Tumor biopsies from 100 patients bearing gliomas were collected during surgery in the period 2015-2019. Metabolic profile of those samples was obtained by high resolution 31P and 1H magnetic resonance spectroscopy and were compared with the metabolic-related gene expression data obtained by real-time quantitative PCR. IDH ½ mutation was verified by immunohistochemistry and PCR.
For that purpose, we built a correlation network plot graph and correlation maps identifying the most significant interactions, that were analyzed thereafter.
Results: Normalization of the data was paramount in order to being able to compare genetic and metabolic results. We found no differences between the metabolic or genetic profiles of glioma grade III and IV samples. However, there was a statistical significant correlation (p< 0.05) between some metabolic patterns and IDH-mutation, where Alanine, Glycine, Glycerophosphorylcholine and Myo-inositol were the most important biomarkers. Overexpression of Lactate Dehydrogenase subunit B and Aconitase 1 had also statistical significant relationship with IDH-mutation (p< 0.05). These correlations were shown as hot spots in the correlation graphs.
Conclusion: Present results indicate that metabolic patterns by high resolution 31P and 1H magnetic resonance spectroscopy could be a useful tool to improve our knowledge about glioma gene expression profile.


[Correlation Graph.Distance, thickness and colour of lines represent correlation intensity.]

Background: We analyzed the correlation between radiological data, IDH mutation, gene expression profiling and metabolic signature in glioma.
Methods: Tumor biopsies from 100 patients bearing gliomas were collected during surgery in the period 2015-2019. Metabolic profile of those samples was obtained by high resolution 31P and 1H magnetic resonance spectroscopy and were compared with the metabolic-related gene expression data obtained by real-time quantitative PCR. IDH ½ mutation was verified by immunohistochemistry and PCR.
For that purpose, we built a correlation network plot graph and correlation maps identifying the most significant interactions, that were analyzed thereafter.
Results: Normalization of the data was paramount in order to being able to compare genetic and metabolic results. We found no differences between the metabolic or genetic profiles of glioma grade III and IV samples. However, there was a statistical significant correlation (p< 0.05) between some metabolic patterns and IDH-mutation, where Alanine, Glycine, Glycerophosphorylcholine and Myo-inositol were the most important biomarkers. Overexpression of Lactate Dehydrogenase subunit B and Aconitase 1 had also statistical significant relationship with IDH-mutation (p< 0.05). These correlations were shown as hot spots in the correlation graphs.
Conclusion: Present results indicate that metabolic patterns by high resolution 31P and 1H magnetic resonance spectroscopy could be a useful tool to improve our knowledge about glioma gene expression profile.


[Correlation Graph.Distance, thickness and colour of lines represent correlation intensity.]

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