ArticleOncotarget2016
Transcriptomic analysis of aggressive meningiomas identifies PTTG1 and LEPR as prognostic biomarkers independent of WHO grade.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
- Integrative transcriptomics and network analysis reveals core genes driving meningioma pathogenesis and clinical outcomes.Scientific reports · 2025Article
- Tumor-associated macrophages in meningiomas: a novel biomarker for poor survival outperforming the benefits of T cells.Acta neuropathologica · 2025Article
- Mendelian Randomization Analysis of Mitochondria-Related Genes and Screening of Prognostic Genes in Colorectal Cancer.Cancer medicine · 2025Article
- Secreted clusterin inhibits tumorigenesis by modulating tumor cells and macrophages in human meningioma.Neuro-oncology · 2024Article
- Article
- Multi-parameter MRI radiomic features may contribute to predict progression-free survival in patients with WHO grade II meningiomas.Frontiers in oncology · 2024Article
- Molecular classification and grading of meningioma.Journal of neuro-oncology · 2023Review
- Synthesizing Molecular and Immune Characteristics to Move Beyond WHO Grade in Meningiomas: A Focused Review.Frontiers in oncology · 2022Review
- Receptor Tyrosine Kinases as Candidate Prognostic Biomarkers and Therapeutic Targets in Meningioma.International journal of molecular sciences · 2021Review
- Article
- Prognostic Prediction Model for Glioblastoma: A Metabolic Gene Signature and Independent External Validation.Journal of Cancer · 2021Article
- Article
- Meta-gene markers predict meningioma recurrence with high accuracy.Scientific reports · 2020Article
- Identification of High-Risk Atypical Meningiomas According to Semantic and Radiomic Features.Cancers · 2020Article
- High Copy-Number Variation Burdens in Cranial Meningiomas From Patients With Diverse Clinical Phenotypes Characterized by Hot Genomic Structure Changes.Frontiers in oncology · 2020Article
- Gene Expression Signatures Identify Biologically Homogenous Subgroups of Grade 2 Meningiomas.Frontiers in oncology · 2020Article
- Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis.BioMed research international · 2020Article
- Transcriptome signatures associated with meningioma progression.Acta neuropathologica communications · 2019Article
- Identification of KIF11 As a Novel Target in Meningioma.Cancers · 2019Article
- Molecular and translational advances in meningiomas.Neuro-oncology · 2019Review
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Authors and funding
25 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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