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  • mRNA Expression Analysis of 97 Low Grade Gliomas Shows Unique Oligodendroglial Signature

    Final Number:

    David D. Gonda MD; Zachary J Taich BA, BS; Jiang Tao; Bob Carter; Clark C. Chen MD PhD

    Study Design:

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2013 Annual Meeting

    Introduction: Differentiating between low grade gliomas (LGG) of astrocytic and oligodendroglial origin remains a major challenge in neuro-oncology. We analyzed the mRNA profiles of 97 grade II LGGs from the Chinese Glioma Cooperative Group (CGCG) with the goal of identifying distinct molecular characteristics that would afford accurate and reliable discrimination of astrocytic and oligodendroglial tumors.

    Methods: Differential gene expression of the mRNA profiles between 58 astrocytomas and 17 oligodendrogliomas was performed to identify a genetic signature (gene threshold mean fold change > 1.5, corrected P-value <0.01) characteristic of oligodendrogliomas. The signature was reapplied to the same samples with the addition of the 22 mixed oligoastrocytomas to assess its predictive power. The signature was then applied to an independent set of 22 grade II LGGS (9 astrocytomas, 13 oligodendrogliomas) from Rembrandt to validate the signature's ability to differentiate between oligodendroglial and astrocytic tumors.

    Results: Gene expression analysis revealed 352 genes that were differentially expressed between oligodendrogliomas and astrocytomas from the CGCG LGGs. Two of the 58 tumors originally diagnosed as astrocytomas exhibited gene expression profiles mirroring that of the 17 oligodendrogliomas suggesting a possible error in histologic assessment of the specimens. Twenty-one of the 22 oligoastrocytomas shared the same signature pattern as the oligodendrogliomas. DAVID gene ontology analysis of the signature demonstrated enrichment of genes related to nucleotide binding in the oligodendroglial tumors. Consensus clustering of the Rembrandt grade II LGGs with the signature showed two robust clusters (scores 0.88 and 93) with a positive predictive value for oligodendrogliomas of (8/9) 88.9%.

    Conclusions: Low grade gliomas harbor distinct genetic profiles that along with other known molecular markers such as IDH1 mutation, TP53 mutation, and 1p19q status may facilitate accurate and reliable pathologic diagnosis.

    Patient Care: The discovery of unique molecular characteristics of low grade gliomas may afford more accurate and reliable discrimination of astrocytic and oligodendroglial tumors.

    Learning Objectives: By the conclusion of this session, participants should be able to 1) Recognize differences in mRNA expression profiles among low grade gliomas


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