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The WHO classification of brain tumours describes 15 subtypes of meningioma. Nine of these subtypes are allotted to WHO grade I, and three each to grade II and grade III. Grading is based solely on histology, with an absence of molecular markers. Although the existing classification and grading approach is of prognostic value, it harbours shortcomings such as ill-defined parameters for subtypes and grading criteria prone to arbitrary judgment. In this study, we aimed for a comprehensive characterisation of the entire molecular genetic landscape of meningioma to identify biologically and clinically relevant subgroups. In this multicentre, retrospective analysis, we investigated genome-wide DNA methylation patterns of meningiomas from ten European academic neuro-oncology centres to identify distinct methylation classes of meningiomas. The methylation classes were further characterised by DNA copy number analysis, mutational profiling, and RNA sequencing. Methylation classes were analysed for progression-free survival outcomes by the Kaplan-Meier method. The DNA methylation-based and WHO classification schema were compared using the Brier prediction score, analysed in an independent cohort with WHO grading, progression-free survival, and disease-specific survival data available, collected at the Medical University Vienna (Vienna, Austria), assessing methylation patterns with an alternative methylation chip. We retrospectively collected 497 meningiomas along with 309 samples of other extra-axial skull tumours that might histologically mimic meningioma variants. Unsupervised clustering of DNA methylation data clearly segregated all meningiomas from other skull tumours. We generated genome-wide DNA methylation profiles from all 497 meningioma samples. DNA methylation profiling distinguished six distinct clinically relevant methylation classes associated with typical mutational, cytogenetic, and gene expression patterns. Compared with WHO grading, classification by individual and combined methylation classes more accurately identifies patients at high risk of disease progression in tumours with WHO grade I histology, and patients at lower risk of recurrence among WHO grade II tumours (p=0·0096) from the Brier prediction test). We validated this finding in our independent cohort of 140 patients with meningioma. DNA methylation-based meningioma classification captures clinically more homogenous groups and has a higher power for predicting tumour recurrence and prognosis than the WHO classification. The approach presented here is potentially very useful for stratifying meningioma patients to observation-only or adjuvant treatment groups. We consider methylation-based tumour classification highly relevant for the future diagnosis and treatment of meningioma. German Cancer Aid, Else Kröner-Fresenius Foundation, and DKFZ/Heidelberg Institute of Personalized Oncology/Precision Oncology Program.

IntroductionCHAMOMILE (CHaracteristics and impact of flares on clinicAl and econoMic OutcoMes In patients with systemic Lupus Erythematosus [SLE]) examined how flares in the year of SLE diagnosis impact future disease activity and damage, productivity, healthcare resource utilization (HCRU), and costs in patients with SLE in Germany.MethodsCHAMOMILE was a retrospective cohort study of adults with an SLE diagnosis in the German Sickness Fund Database from 1 July 2010 to 31 December 2013. Patients were classified according to their greatest flare severity during the baseline year (none, mild, or moderate/severe). The number and severity of flares were assessed annually over 5–8.5 follow-up years, along with SLE organ/system damage, treatments, work disability, and HCRU metrics.ResultsOf 2088 patients (84.6% female; mean age [standard deviation] 51.4 [16.1] years; mean follow-up 6.8 [2.1] years), 34.3% (n = 716) were flare-free, 29.8% (n = 622) had mild flares, and 35.9% (n = 750) had moderate/severe flares at baseline. Baseline flare severity was related to future flares: rates during follow-up were higher in patients with moderate/severe baseline flares compared with those with mild or no baseline flares (89.6 vs 78.5 and 44.2 flares/100 patient years, respectively). Overall, 80.2% (n = 1675) of patients received glucocorticoids at least once during baseline and follow-up. Patients’ HCRU was generally greatest in their baseline year. Costs were highest in patients with moderate/severe baseline flares.ConclusionBaseline flare severity provided insight into a patient’s disease course and the clinical and economic burden of SLE over time, highlighting the ramifications of uncontrolled disease for patients with SLE.

Fibrotic skin diseases are rare, chronic, and often debilitating conditions characterized by excessive extracellular matrix deposition, leading to tissue scarring and functional impairment. Despite their severity, diseases—such as lichen sclerosus et atrophicus (LSA), frontal fibrosing alopecia (FFA), radiation-induced skin fibrosis (RISF), eosinophilic fasciitis (EF), pansclerotic disabling morphea (PDM), and linear circumscript sclerodermia (LCS)—lack approved therapies and are underrepresented in clinical research. This phase 2b multicenter basket trial proposes a novel approach to evaluate a common antifibrotic therapy across these diverse but pathophysiologically related conditions. The trial employs a two-stage Simon design to address the statistical challenges posed by small patient populations, allowing the inclusion of ultra-rare diseases while maintaining analytical rigor. LSA and FFA serve as primary study groups due to higher prevalence, while EF, RISF, PDM, and LCS are included as exploratory arms. The study aims to assess the efficacy, safety, and tolerability of the selected therapy, while also providing mechanistic insights into fibrosis through molecular analyses. The primary endpoint is a ≥ 1-point improvement in the Investigator Global Assessment (IGA) at 24 weeks. Secondary endpoints at 52 weeks encompass quality of life (Dermatological Life Quality Index (DLQI), EuroQol Group Quality of Life Questionnaire (EuroQol five dimensions (EQ-5D))), symptom relief (itch and pain Numeric Rating Scale (NRS)), and disease-specific clinical scores. The trial excludes a placebo arm due to ethical considerations in progressive, untreated diseases but allows rescue therapies for disease progression. This design not only facilitates access to treatment for underserved populations but also leverages shared clinical and molecular features to enhance statistical power. By integrating disease-specific and global outcome measures, the study aims to generate robust evidence for repurposing existing therapies. If successful, this trial could serve as a model for future research in rare fibrotic diseases, accelerating drug development and improving patient outcomes.