Molecular profiling predicts meningioma recurrence and reveals loss of DREAM complex repression in aggressive tumors
A. J. Patel, Y.-W. Wan, R. Al-Ouran, J.-P. Revelli, M. F. Cardenas, M. Oneissi, L. Xi, A. Jalali, J. Magnotti, D. M. Muzny, H. Doddapaneni, S. Sebastian, K. A. Heck, J. C. Goodman, S. P. Gopinath, Z. Liu, G. Rao, S. E. Plon, D. Yoshor, D. A. Wheeler, H. Y. Zoghbi, T. J. Klisch
Abstract
Meningiomas account for one-third of all primary brain tumors. Although typically benign, about 20% of meningiomas are aggressive, and despite the rigor of the current histopathological classification system, there remains considerable uncertainty in predicting tumor behavior. Here, we analyzed 160 tumors from all three WHO grades (I-III) using clinical, gene expression and sequencing data. Unsupervised clustering analysis identified three molecular types (A, B, and C) that reliably predicted recurrence. These groups did not directly correlate with the WHO grading system, which would classify more than half of the tumors in the most aggressive molecular type as benign. Transcriptional and biochemical analyses revealed that aggressive meningiomas involve loss of the repressor function of the DREAM complex, which results in cell cycle activation; only tumors in this category tend to recur after full resection. These findings should improve our ability to predict recurrence and develop targeted treatments for these clinically challenging tumors.\n\nSignificance StatementMeningiomas are the most common primary brain tumors. Although most of these tumors are benign, one-fifth will recur despite apparently complete resection. Several studies have demonstrated that genomic approaches can yield important insights into the biology of these tumors. We performed RNA sequencing and whole-exome sequencing of 160 tumors from 140 patients, which identified three distinct groups of meningioma that correlate with recurrence better than the current WHO grading system. Our analysis also revealed that the most aggressive type was characterized by loss of the repressive DREAM complex. These findings should improve prognostication for patients and lead to viable therapeutic targets.
02 /Specification & Classification
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