Browsing by Author "Mamatjan, Yasin"

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    Validation and next-generation update of a DNA methylation-based recurrence predictor for meningioma: A multicenter prospective study
    (Oxford University Press, 2025) Landry, Alexander P.; Wang, Justin Z.; Patil, Vikas; Gui, Chloe; Mamatjan, Yasin; Patel, Zeel; Yakubov, Rebecca; Kaloti, Ramneet; Habibi, Parnian; Wilson, Mark; Ajisebutu, Andrew; Ellenbogen, Yosef; Wei, Qingxia; Singh, Olivia; Sosa, Julio; Mansouri, Sheila; Wilson, Christopher; Cohen-Gadol, Aaron A.; Virtanen, Piiamaria; Burket, Noah; Blackwell, Matthew; Koenig, Jenna; Alfonso, Anthony; Davis, Joseph; Zaazoue, Mohamed A.; Tabatabai, Ghazaleh; Tatagiba, Marcos; Behling, Felix; Barnholtz-Sloan, Jill S.; Sloan, Andrew E.; Chotai, Silky; Chambless, Lola B.; Mansouri, Alireza; Ehret, Felix; Capper, David; Tsang, Derek S.; Aldape, Kenneth; Gao, Andrew; International Consortium on Meningiomas (ICOM); Nassiri, Farshad; Zadeh, Gelareh; Neurological Surgery, School of Medicine
    Background: We previously developed a DNA methylation-based risk predictor for meningioma, which has been used locally in a prospective fashion since its original publication. As a follow-up, we validate this model using a large prospective cohort and introduce a streamlined next-generation predictor compatible with newer methylation arrays. Methods: Genome-wide methylation profiles were generated with the Illumina EPICArray. The performance of our next-generation predictor was compared with our original model and standard-of-care 2021 WHO grade using time-dependent receiver operating characteristic curves. An nomogram was generated by incorporating our methylation predictor with WHO grade and the extent of resection. Results: A total of 1347 meningioma cases were utilized in the study, including 469 prospective cases from 3 institutions and an external cohort of 100 WHO grade 2 cases for model validation. Both the original and next-generation models significantly outperform the 2021 WHO grade in predicting early postoperative recurrence. Dichotomizing patients into grade-specific risk subgroups was predictive of outcomes within both WHO grades 1 and 2 tumors (P < .05), whereas all WHO grade 3 tumors were considered high-risk. Multivariable Cox regression demonstrated the benefit of adjuvant radiotherapy (RT) in high-risk cases specifically, reinforcing its informative role in clinical decision-making. Finally, our next-generation predictor contains nearly 10-fold fewer features than the original model, allowing for targeted arrays. Conclusions: This next-generation DNA methylation-based meningioma outcome predictor significantly outperforms the 2021 WHO grading in predicting time to recurrence. We make this available as a point-and-click tool that will improve prognostication, inform patient selection for RT, and allow for molecularly stratified clinical trials.