ArticleActa neuropathologica2022
Gene expression profiling of Group 3 medulloblastomas defines a clinically tractable stratification based on KIRREL2 expression.
Article in Acta neuropathologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis.Discover oncology · 2026Article
- Spatiotemporal transcriptomic insights into ferroptosis and TFRC-linked immune interactions in ischemia-reperfusion acute kidney injury.Genes and immunity · 2026Article
- A comprehensive analysis through Mendelian randomization of immunological markers and sphingolipid metabolism.Discover oncology · 2025Article
- Article
- Molecular and clinical heterogeneity within MYC-family amplified medulloblastoma is associated with survival outcomes: A multicenter cohort study.Neuro-oncology · 2025Article
- Candidate Biomarkers for Targeting in Type 1 Diabetes; A Bioinformatic Analysis of Pancreatic Cell Surface Antigens.Cell journal · 2024Article
- Genetic Discrimination of Grade 3 and Grade 4 Gliomas by Artificial Neural Network.Cellular and molecular neurobiology · 2023Article
- MYC overexpression and SMARCA4 loss cooperate to drive medulloblastoma formation in mice.Acta neuropathologica communications · 2023Article
- Oncolytic virus-driven immune remodeling revealed in mouse medulloblastomas at single cell resolution.Molecular therapy oncolytics · 2023Article
- Timing is everything: A connection between medulloblastoma prognosis and foetal cerebellar development.Neuropathology and applied neurobiology · 2023Review
- Transcriptome analysis stratifies second-generation non-WNT/non-SHH medulloblastoma subgroups into clinically tractable subtypes.Acta neuropathologica · 2023Article
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13 authors.
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Abstract
Medulloblastomas (MB) molecularly designated as Group 3 (Grp 3) MB represent a more clinically aggressive tumor variant which, as a group, displays heterogeneous molecular characteristics and disease outcomes. Reliable risk stratification of Grp 3 MB would allow for appropriate assignment of patients to aggressive treatment protocols and, vice versa, for sparing adverse effects of high-dose radio-chemotherapy in patients with standard or low-risk tumors. Here we performed RNA-based analysis on an international cohort of 179 molecularly designated Grp 3 MB treated with HIT protocols. We analyzed the clinical significance of differentially expressed genes, thereby developing optimal prognostic subdivision of this MB molecular group. We compared the transcriptome profiles of two Grp 3 MB subsets with various outcomes (76 died within the first 60 months vs. 103 survived this period) and identified 224 differentially expressed genes (DEG) between these two clinical groups (Limma R algorithm, adjusted p-value < 0.05). We selected the top six DEG overexpressed in the unfavorable cohort for further survival analysis and found that expression of all six genes strongly correlated with poor outcomes. However, only high expression of KIRREL2 was identified as an independent molecular prognostic indicator of poor patients' survival. Based on clinical and molecular patterns, four risk categories were outlined for Grp 3 MB patients: i. low-risk: M0-1/MYC non-amplified/KIRREL2 low (n = 48; 5-year OS-95%); ii. standard-risk: M0-1/MYC non-amplified/KIRREL2 high or M2-3/MYC non-amplified/KIRREL2 low (n = 65; 5-year OS-70%); iii. high-risk: M2-3/MYC non-amplified/KIRREL2 high (n = 36; 5-year OS-30%); iv. very high risk-all MYC amplified tumors (n = 30; 5-year OS-0%). Cross-validated survival models incorporating KIRREL2 expression with clinical features allowed for the reclassification of up to 50% of Grp 3 MB patients into a more appropriate risk category. Finally, KIRREL2 immunopositivity was also identified as a predictive indicator of Grp 3 MB poor survival, thus suggesting its application as a possible prognostic marker in routine clinical settings. Our results indicate that integration of KIRREL2 expression in risk stratification models may improve Grp 3 MB outcome prediction. Therefore, simple gene and/or protein expression analyses for this molecular marker could be easily adopted for Grp 3 MB prognostication and may help in assigning patients to optimal therapeutic approaches in prospective clinical trials.
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