Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma.
Justin Z WangVikas PatilAlexander P LandryChloe GuiAndrew AjisebutuJeff LiuOlli SaarelaStephanie L PughMinhee WonZeel PatelRebeca YakubovRamneet KalotiChristopher WilsonAaron Cohen-GadolMohamed A ZaazoueGhazaleh TabatabaiMarcos TatagibaFelix BehlingDamian A Almiron BonninEric C HollandTim J KruserJill S Barnholtz-SloanAndrew E SloanCraig M HorbinskiSilky ChotaiLola B ChamblessAndrew GaoAlexander D RebchukSerge MakarenkoStephen YipFelix SahmSybren L N MaasDerek S Tsangnull nullC Leland RogersKenneth D AldapeFarshad NassiriGelareh ZadehPublished in: Nature medicine (2024)
Treatment of the tumor and dural margin with surgery and sometimes radiation are cornerstones of therapy for meningioma. Molecular classifications have provided insights into the biology of disease; however, response to treatment remains heterogeneous. In this study, we used retrospective data on 2,824 meningiomas, including molecular data on 1,686 tumors and 100 prospective meningiomas, from the RTOG-0539 phase 2 trial to define molecular biomarkers of treatment response. Using propensity score matching, we found that gross tumor resection was associated with longer progression-free survival (PFS) across all molecular groups and longer overall survival in proliferative meningiomas. Dural margin treatment (Simpson grade 1/2) prolonged PFS compared to no treatment (Simpson grade 3). Molecular group classification predicted response to radiotherapy, including in the RTOG-0539 cohort. We subsequently developed a molecular model to predict response to radiotherapy that discriminates outcome better than standard-of-care classification. This study highlights the potential for molecular profiling to refine surgical and radiotherapy decision-making.
Keyphrases
- machine learning
- free survival
- single molecule
- deep learning
- radiation therapy
- healthcare
- minimally invasive
- palliative care
- squamous cell carcinoma
- radiation induced
- locally advanced
- combination therapy
- electronic health record
- coronary artery disease
- acute coronary syndrome
- coronary artery bypass
- percutaneous coronary intervention
- affordable care act