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Associations of meningioma molecular subgroup and tumor recurrence
- Source :
- Neuro-Oncology, Neuro-Oncology, Oxford University Press (OUP), 2021, 23 (5), pp.783-794. ⟨10.1093/neuonc/noaa226⟩, Neuro Oncol
- Publication Year :
- 2021
- Publisher :
- OXFORD UNIV PRESS INC, 2021.
-
Abstract
- Background We and others have identified mutually exclusive molecular subgroups of meningiomas; however, the implications of this classification for clinical prognostication remain unclear. Integrated genomic and epigenomic analyses implicate unique oncogenic processes associated with each subgroup, suggesting the potential for divergent clinical courses. The aim of this study was to understand the associated clinical outcomes of each subgroup, as this could optimize treatment for patients. Methods We analyzed outcome data for 469 meningiomas of known molecular subgroup, including extent of resection, postoperative radiation, surveillance imaging, and time to recurrence, when applicable. Statistical relationships between outcome variables and subgroup were assessed. Features previously associated with recurrence were further investigated after stratification by subgroup. We used Kaplan–Meier analyses to compare progression-free survival, and identified factors significantly associated with recurrence using Cox proportional hazards modeling. Results Meningioma molecular subgroups exhibited divergent clinical courses at 2 years of follow-up, with several aggressive subgroups (NF2, PI3K, HH, tumor necrosis factor receptor–associated factor 7 [TRAF7]) recurring at an average rate of 22 times higher than others (KLF4, POLR2A, SMARCB1). PI3K-activated tumors recurred earlier than other subgroups but had intermediate long-term outcome. Among low-grade tumors, HH and TRAF7 meningiomas exhibited elevated recurrence compared with other subgroups. Recurrence of NF2 tumors was associated with male sex, high grade, and elevated Ki-67. Multivariate analysis identified molecular subgroup as an independent predictor of recurrence, along with grade and previous recurrence. Conclusion We describe distinct clinical outcomes and recurrence rates associated with meningioma molecular subgroups. Our findings emphasize the importance of genomic characterization to guide postoperative management decisions for meningiomas.
- Subjects :
- Oncology
Epigenomics
Male
Cancer Research
medicine.medical_specialty
Multivariate analysis
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology
molecular subgroups
precision medicine
[SDV.CAN]Life Sciences [q-bio]/Cancer
[SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery
Meningioma
03 medical and health sciences
Kruppel-Like Factor 4
0302 clinical medicine
Internal medicine
Meningeal Neoplasms
tumor prognosis
Medicine
Humans
SMARCB1
meningioma genomics
Retrospective Studies
business.industry
Proportional hazards model
Postoperative radiation
Genomics
medicine.disease
Precision medicine
Tumor recurrence
Time to recurrence
030220 oncology & carcinogenesis
Basic and Translational Investigations
Neurology (clinical)
Neoplasm Recurrence, Local
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15228517
- Database :
- OpenAIRE
- Journal :
- Neuro-Oncology, Neuro-Oncology, Oxford University Press (OUP), 2021, 23 (5), pp.783-794. ⟨10.1093/neuonc/noaa226⟩, Neuro Oncol
- Accession number :
- edsair.doi.dedup.....6e014123b4339f16ebb95bba1e334b26
- Full Text :
- https://doi.org/10.1093/neuonc/noaa226