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1.
Rheumatol Ther ; 11(2): 285-299, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38252212

RESUMO

INTRODUCTION: CHAMOMILE (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. METHODS: CHAMOMILE 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. RESULTS: Of 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. CONCLUSION: Baseline 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.

2.
Lancet Oncol ; 18(5): 682-694, 2017 05.
Artigo em Inglês | MEDLINE | ID: mdl-28314689

RESUMO

BACKGROUND: 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. METHODS: 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. FINDINGS: 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. INTERPRETATION: 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. FUNDING: German Cancer Aid, Else Kröner-Fresenius Foundation, and DKFZ/Heidelberg Institute of Personalized Oncology/Precision Oncology Program.


Assuntos
Metilação de DNA , Neoplasias Meníngeas/classificação , Neoplasias Meníngeas/genética , Meningioma/classificação , Meningioma/genética , Recidiva Local de Neoplasia/genética , Variações do Número de Cópias de DNA , Análise Mutacional de DNA , Proteínas de Ligação a DNA/genética , Progressão da Doença , Intervalo Livre de Doença , Feminino , Genoma , Humanos , Fator 4 Semelhante a Kruppel , Fatores de Transcrição Kruppel-Like/genética , Masculino , Neoplasias Meníngeas/patologia , Meningioma/patologia , Gradação de Tumores , Recidiva Local de Neoplasia/patologia , Neurofibromina 2/genética , Proteínas Nucleares/genética , Proteínas Proto-Oncogênicas c-akt/genética , Estudos Retrospectivos , Análise de Sequência de RNA , Receptor Smoothened/genética , Taxa de Sobrevida , Fatores de Transcrição/genética , Transcriptoma , Peptídeos e Proteínas Associados a Receptores de Fatores de Necrose Tumoral/genética
3.
Oncotarget ; 7(12): 14551-68, 2016 Mar 22.
Artigo em Inglês | MEDLINE | ID: mdl-26894859

RESUMO

Meningiomas are frequent central nervous system tumors. Although most meningiomas are benign (WHO grade I) and curable by surgery, WHO grade II and III tumors remain therapeutically challenging due to frequent recurrence. Interestingly, relapse also occurs in some WHO grade I meningiomas. Hence, we investigated the transcriptional features defining aggressive (recurrent, malignantly progressing or WHO grade III) meningiomas in 144 cases. Meningiomas were categorized into non-recurrent (NR), recurrent (R), and tumors undergoing malignant progression (M) in addition to their WHO grade. Unsupervised transcriptomic analysis in 62 meningiomas revealed transcriptional profiles lining up according to WHO grade and clinical subgroup. Notably aggressive subgroups (R+M tumors and WHO grade III) shared a large set of differentially expressed genes (n=332; p<0.01, FC>1.25). In an independent multicenter validation set (n=82), differential expression of 10 genes between WHO grades was confirmed. Additionally, among WHO grade I tumors differential expression between NR and aggressive R+M tumors was affirmed for PTTG1, AURKB, ECT2, UBE2C and PRC1, while MN1 and LEPR discriminated between NR and R+M WHO grade II tumors. Univariate survival analysis revealed a significant association with progression-free survival for PTTG1, LEPR, MN1, ECT2, PRC1, COX10, UBE2C expression, while multivariate analysis identified a prediction for PTTG1 and LEPR mRNA expression independent of gender, WHO grade and extent of resection. Finally, stainings of PTTG1 and LEPR confirmed malignancy-associated protein expression changes. In conclusion, based on the so far largest study sample of WHO grade III and recurrent meningiomas we report a comprehensive transcriptional landscape and two prognostic markers.


Assuntos
Biomarcadores Tumorais/genética , Perfilação da Expressão Gênica , Neoplasias Meníngeas/secundário , Meningioma/patologia , Recidiva Local de Neoplasia/patologia , Receptores para Leptina/genética , Securina/genética , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Progressão da Doença , Feminino , Seguimentos , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Masculino , Neoplasias Meníngeas/genética , Meningioma/genética , Pessoa de Meia-Idade , Gradação de Tumores , Metástase Neoplásica , Recidiva Local de Neoplasia/genética , Taxa de Sobrevida , Adulto Jovem
4.
J Natl Cancer Inst ; 108(5)2016 May.
Artigo em Inglês | MEDLINE | ID: mdl-26668184

RESUMO

The World Health Organization (WHO) classification and grading system attempts to predict the clinical course of meningiomas based on morphological parameters. However, because of high interobserver variation of some criteria, more reliable prognostic markers are required. Here, we assessed the TERT promoter for mutations in the hotspot regions C228T and C250T in meningioma samples from 252 patients. Mutations were detected in 16 samples (6.4% across the cohort, 1.7%, 5.7%, and 20.0% of WHO grade I, II, and III cases, respectively). Data were analyzed by t test, Fisher's exact test, log-rank test, and Cox proportional hazard model. All statistical tests were two-sided. Within a mean follow-up time in surviving patients of 68.1 months, TERT promoter mutations were statistically significantly associated with shorter time to progression (P < .001). Median time to progression among mutant cases was 10.1 months compared with 179.0 months among wild-type cases. Our results indicate that the inclusion of molecular data (ie, analysis of TERT promoter status) into a histologically and genetically integrated classification and grading system for meningiomas increases prognostic power. Consequently, we propose to incorporate the assessment of TERT promoter status in upcoming grading schemes for meningioma.


Assuntos
Neoplasias Meníngeas/genética , Meningioma/genética , Mutação , Recidiva Local de Neoplasia/genética , Regiões Promotoras Genéticas , Telomerase/genética , Adulto , Idoso , Biomarcadores Tumorais/genética , Progressão da Doença , Feminino , Seguimentos , Humanos , Estimativa de Kaplan-Meier , Masculino , Neoplasias Meníngeas/patologia , Meningioma/patologia , Pessoa de Meia-Idade , Gradação de Tumores , Recidiva Local de Neoplasia/patologia , Valor Preditivo dos Testes , Prognóstico , Regiões Promotoras Genéticas/genética , Modelos de Riscos Proporcionais
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