ArticleFrontiers in genetics2020
Identification of a Twelve-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival for Medulloblastoma.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Risk Factors for Survival in Patients With Medulloblastoma: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2022Pooled it
- Identification of metabolism-associated molecular classification and prognostic genes for medulloblastoma based on bioinformatics analysis.Clinics (Sao Paulo, Brazil) · 2026Article
- Chaperonin in health and disease.Molecular biomedicine · 2026Review
- IGF2BP3 Promoted the Overproliferation of AML Cells via Stability ofTurkish journal of haematology : official journal of Turkish Society of Haematology · 2026Article
- Mitoxantrone alters CD24/Siglec-10 expression in malignant brain tumor models.Scientific reports · 2026Article
- Survival-Related Genes on Chromosomes 6 and 17 in Medulloblastoma.International journal of molecular sciences · 2024Article
- Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis.Scientific reports · 2024Article
- p53 activation enhances the sensitivity of non-small cell lung cancer to the combination of SH003 and docetaxel by inhibiting de novo pyrimidine synthesis.Cancer cell international · 2024Article
- High expression of NXPH4 correlates with poor prognosis, metabolic reprogramming, and immune infiltration in colon adenocarcinoma.Journal of gastrointestinal oncology · 2024Article
- A Prognostic Methylation-Driven Two-Gene Signature in Medulloblastoma.Journal of molecular neuroscience : MN · 2024Article
- Loss of SYNCRIP unleashes APOBEC-driven mutagenesis, tumor heterogeneity, and AR-targeted therapy resistance in prostate cancer.Cancer cell · 2023Article
- Survival nomogram for medulloblastoma and multi-center external validation cohort.Frontiers in pharmacology · 2023Article
- Whole-genome sequencing of extrachromosomal circular DNA of cerebrospinal fluid of medulloblastoma.Frontiers in oncology · 2022Article
- Molecular profile reveals immune-associated markers of medulloblastoma for different subtypes.Frontiers in immunology · 2022Article
- ABL1 and ABL2 promote medulloblastoma leptomeningeal dissemination.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMedulloblastoma is the common pediatric malignant tumor with poor prognosis in cerebellum. However, MB is always with clinical heterogeneity. To provide patients with more clinically beneficial treatment strategies, there is a pressing need to develop a new prognostic prediction model as a supplement to the prediction outcomes of clinical judgment. MATERIALS AND
methodsFour datasets of mRNA expression and clinical data were downloaded from gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) were identified and functionally enriched among GSE50161, GSE74195, GSE86574. Then we used STRING and Cytoscape to constructed and analyze protein-protein interaction network (PPI) and hub genes. Univariate cox regression analysis was performed to identify overall survival-related hub genes in an unique dataset from GSE85217 as train cohort. Lasso Cox regression model was used to construct the prognostic gene signature. Time-dependent receiver operating characteristic (ROC), Kaplan-Meier curve, univariate and multivariate Cox regression analysis were used to assess the prognostic capacity of the twelve-gene signature. A unique dataset from GSE85217 was downloaded to further validate the results. Finally, we established the nomogram by using the gene signature and validated it with ROC curve. Gene set enrichment analysis (GSEA) was carried out to further investigate its potential molecular mechanism. Besides, the twelve genes expression at the mRNA and protein levels was validated using external database such as Oncomine, cBioportal and HPA, respectively.
resultsA twelve-gene signature comprising
conclusionOur study identified a twelve-gene signature and established a prognostic nomogram that reliably predicts overall survival in medulloblastoma. The above results will help us to better analyze the pathogenesis and treatment of medulloblastoma in the future.
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