Login / Signup

Molecular profiling predicts meningioma recurrence and reveals loss of DREAM complex repression in aggressive tumors.

Akash J PatelYing-Wooi WanRami Al-OuranJean-Pierre RevelliMaria F CardenasMazen OneissiLiu XiAli JalaliJohn F MagnottiDonna M MuznyHarshaVardhan DoddapaneniSherly SebastianKent A HeckJ Clay GoodmanShankar P GopinathZhandong LiuGanesh RaoSharon E PlonDaniel YoshorDavid A WheelerHuda Y ZoghbiTiemo J Klisch
Published in: Proceedings of the National Academy of Sciences of the United States of America (2019)
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 3 World Health Organization (WHO) grades (I through III) using clinical, gene expression, and sequencing data. Unsupervised clustering analysis identified 3 molecular types (A, B, and C) that reliably predicted recurrence. These groups did not directly correlate with the WHO grading system, which classifies 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.
Keyphrases
  • cell cycle
  • gene expression
  • single cell
  • cell proliferation
  • machine learning
  • dna methylation
  • rna seq
  • oxidative stress
  • single molecule
  • drug delivery
  • cancer therapy