Gene expression profile of meningioma to reliably predict tumor recurrence

Gene expression profile of meningioma to reliably predicts tumor recurrence

Although typically benign, about one-fifth of meningiomas, the most common primary brain tumors, recur despite complete surgical removal. The current meningioma classification does not consistently predict whether the tumor will recur, but researchers report in the Proceedings of the National Academy of Sciences that using molecular profiles that might better predict meningioma recurrence.

"The current meningioma classification is the World Health organization system. It divides meningiomas into three categories: WHO grade I (benign), grade II (atypical) and grade III (malignant)," explained the first author. "The WHO system is based on tumor histopathology; that is, the appearance of tumor cells under the microscope."

Although the histopathology system has some success predicting tumor recurrence, there seems to be room for improvement.

"For instance, WHO grade II and III tumors tend to recur, but we have also seen patients with grade II meningioma whose tumors have a more benign course," the author said. "On the other hand, a portion of grade I tumors, which are generally cured with surgery, recur despite complete resection and benign features. It seemed that the way we were looking at meningioma could benefit from reevaluation, and this inspired us to conduct this research."

Other brain tumors, such as medulloblastoma and glioma, have been redefined based on molecular and genetic features, allowing for improved prognostication and potential therapeutic targets. "We believed that meningioma might also be amenable to this sort of molecular profiling," said the author.

In the first part of this study, the researchers explored the possibility of identifying meningioma molecular signatures that would enable them to reliably predict the most likely tumor behavior after surgical removal. They looked into the sequences of all protein-producing genes (whole exome sequencing), gene expression and clinical data of 160 meningioma samples WHO grades I, II and III, from 140 patients. 

"The molecular data suggested three meningioma types: A, B and C. Type C tumors had a remarkably worse clinical course than types A or B tumors," said co-corresponding author. "These groups, however, did not directly correlate with the WHO grading system. For instance, the WHO system would classify more than half of the tumors in our C (aggressive) molecular type as type I (benign). We think that using gene expression data might allow for better prediction of tumor behavior."

In the second part of this study, the authors gained a better understanding of how the worst cases happen. They discovered a unique characteristic of type C (aggressive) meningioma; their DREAM complex is dysfunctional.

"The DREAM complex is like a 'brake' for cell division. In type C meningiomas, the DREAM complex is inactive - the brake is not functional. Consequently, cells are not able to regulate cell division properly, which contributes to their malignant transformation," the author said. "We think that dysregulation of the DREAM complex is a key step that in the end leads to the most aggressive behavior in these tumors."

"This study has two major findings," the first author concluded. "One is that our results suggest that molecular profiling for meningioma reliably predicts tumor recurrence. The second finding is that we have identified DREAM complex dysfunction as a leading factor in aggressive meningioma."

"This study shows that combining clinical, pathological and molecular data not only helps reveal whether a tumor is likely to recur, but also provides insight into genes that drive malignant behavior," said co-corresponding author. "More work is needed to refine the molecular signatures of various meningiomas and to gain better understanding of their pathogenesis."

https://www.pnas.org/content/early/2019/10/04/1912858116

Edited

Rating

Unrated
Rating: