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Object Gangliogliomas comprise less than 1% of all brain tumors and occur most often in children. Therefore, there are a limited number of patients and data involving the use or role of adjuvant therapy after subtotal resections (STRs) of gangliogliomas. The objective of this study was to examine and review the Mayo Clinic experience of 88 patients with gangliogliomas, their follow-up, risk of recurrence, and the role of radiation therapy after STR or only biopsy. Methods Eighty-eight patients with gangliogliomas diagnosed between 1970 and 2007 were reviewed. Data on clinical outcomes and therapy received were analyzed. The Kaplan-Meier method was used to estimate progression-free survival (PFS) and overall survival. Results The median age at diagnosis was 19 years. The median potential follow-up as of June 2008 was 142 months (range 9–416 months). Fifteen-year overall survival was 94%, median PFS was 5.6 years, with a 10-year PFS rate of 37%. Progression-free survival was dramatically affected by extent of initial resection (p < 0.0001). Conclusions This single-institution retrospective series of patients with gangliogliomas is unique given its large cohort size with a long follow-up duration, and confirms the excellent long-term survival rate in this group. The study also shows the importance of resection extent on likelihood of recurrence. Patients with gangliogliomas who undergo STR or biopsy alone have poor PFS. Radiation therapy may delay time to progression in patients with unresectable disease.

Background— Hundreds of nonsynonymous single nucleotide variants (nsSNVs) have been identified in the 2 most common long-QT syndrome-susceptibility genes ( KCNQ1 and KCNH2 ). Unfortunately, an ≈3% background rate of rare KCNQ1 and KCNH2 nsSNVs amongst healthy individuals complicates the ability to distinguish rare pathogenic mutations from similarly rare yet presumably innocuous variants. Methods and Results— In this study, 4 tools [(1) conservation across species, (2) Grantham values, (3) sorting intolerant from tolerant, and (4) polymorphism phenotyping] were used to predict pathogenic or benign status for nsSNVs identified across 388 clinically definite long-QT syndrome cases and 1344 ostensibly healthy controls. From these data, estimated predictive values were determined for each tool independently, in concert with previously published protein topology–derived estimated predictive values, and synergistically when ≥3 tools were in agreement. Overall, all 4 tools displayed a statistically significant ability to distinguish between case-derived and control-derived nsSNVs in KCNQ1 , whereas each tool, except Grantham values, displayed a similar ability to differentiate KCNH2 nsSNVs. Collectively, when at least 3 of the 4 tools agreed on the pathogenic status of C-terminal nsSNVs located outside the KCNH2/Kv11.1 cyclic nucleotide−binding domain, the topology-specific estimated predictive value improved from 56% to 91%. Conclusions— Although in silico prediction tools should not be used to predict independently the pathogenicity of a novel, rare nSNV, our results support the potential clinical use of the synergistic utility of these tools to enhance the classification of nsSNVs, particularly for Kv11.1’s difficult to interpret C-terminal region.