Multi-faceted computational assessment of risk and progression in oligodendroglioma implicates NOTCH and PI3K pathways.

Oligodendrogliomas are diffusely infiltrative gliomas defined by IDH-mutation and co-deletion of 1p/19q. They have highly variable clinical courses, with survivals ranging from 6 months to over 20 years, but little is known regarding the pathways involved with their progression or optimal markers for stratifying risk. We utilized machine-learning approaches with genomic data from The Cancer Genome Atlas to objectively identify molecular factors associated with clinical outcomes of oligodendroglioma and extended these findings to study signaling pathways implicated in oncogenesis and clinical endpoints associated with glioma progression. Our multi-faceted computational approach uncovered key genetic alterations associated with disease progression and shorter survival in oligodendroglioma and specifically identified Notch pathway inactivation and PI3K pathway activation as the most strongly associated with MRI and pathology findings of advanced disease and poor clinical outcome. Our findings that Notch pathway inactivation and PI3K pathway activation are associated with advanced disease and survival risk will pave the way for clinically relevant markers of disease progression and therapeutic targets to improve clinical outcomes. Furthermore, our approach demonstrates the strength of machine learning and computational methods for identifying genetic events critical to disease progression in the era of big data and precision medicine.

Proliferation (MIB-1 expression) in oligodendrogliomas: assessment of quantitative methods and prognostic significance.

Expression of to nuclear antigen Ki-67 (MIB-1) has been linked to proliferative activity and prognosis in a variety of tumors. The authors assessed three techniques for quantitating MIB-1 (expression in oligodendrogliomas, correlating results with mitotic activity and prognosis. Formalin-fixed, paraffin-embedded sections of 38 oligodendrogliomas were immunostained using monoclonal MIB-l. Proliferation index (PI) was quantitated by visual estimation, CAS-200, and AC1S image analysis. MIB-1 expression and mitotic count were correlated with overall survival and recurrence (disease-free survival), defined clinically and radiographically as new tumor growth. Mean follow-up was 54 months (range 1-276). Mean PI quantitated by the three methods was statistically similar (Visual 10.5%, CAS-200, 12.2%, CAIS 11.2%). PI results by all three techniques correlated significantly with each other; visual and CAS-200 PI correlated with mitotic index. Overall and disease-free survivals were similar for patients with PIs above and below the mean by both image cytometric assays; visually estimated PIs below the mean, versus above the mean, correlated with improved disease-free survival. The authors show a significant correlation between MIB-1 PI using the visual method and recurrence in patients with oligodendrogliomas. The objectivity and speed of the image analysis systems make them an attractive alternative to visual estimation, and larger series should be analyzed for prognostic value.