ArticleNeuro-oncology2017
Multigene signature for predicting prognosis of patients with 1p19q co-deletion diffuse glioma.
Article in Neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.
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Who cites it
66 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reconstructing the molecular life history of gliomas.Acta neuropathologica · 2018Pooled it
- Integrated machine learning-based RNA sequencing and single-cell analysis reveal RNA methylation regulation patterns in the immune microenvironment of Alzheimer's disease.Neural regeneration research · 2026Article
- Comprehensive analysis of immune escape-related prognostic signature in high-grade glioma.Discover oncology · 2025Article
- Explainable Machine Learning Models for Glioma Subtype Classification and Survival Prediction.Cancers · 2025Article
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- The biological significance of tumor grade, age, enhancement, and extent of resection in IDH-mutant gliomas: How should they inform treatment decisions in the era of IDH inhibitors?Neuro-oncology · 2024Review
- Exploring the clinical implications and applications of exosomal miRNAs in gliomas: a comprehensive study.Cancer cell international · 2024Review
- DNAJC1 facilitates glioblastoma progression by promoting extracellular matrix reorganization and macrophage infiltration.Journal of cancer research and clinical oncology · 2024Article
- Machine learning-based identification of a cell death-related signature associated with prognosis and immune infiltration in glioma.Journal of cellular and molecular medicine · 2024Article
- Development and external validation of a novel score for predicting postoperative 30‑day mortality in tumor craniotomy patients: A cross‑sectional diagnostic study.Oncology letters · 2024Article
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- A novel oncolytic virus-based biomarker participates in prognosis and tumor immune infiltration of glioma.Frontiers in microbiology · 2023Article
- Combination of machine learning-based bulk and single-cell genomics reveals necroptosis-related molecular subtypes and immunological features in autism spectrum disorder.Frontiers in immunology · 2023Article
- GPGPS: a robust prognostic gene pair signature of glioma ensembling IDH mutation and 1p/19q co-deletion.Bioinformatics (Oxford, England) · 2023Article
- Correlation analysis of tumor purity with clinicopathological, molecular, and imaging features in high-grade gliomas.Neurosurgical review · 2022Article
- Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer.BMC bioinformatics · 2022Article
- Characteristics of Anaplastic Oligodendrogliomas Short-Term Survivors: A POLA Network Study.The oncologist · 2022Article
- A 1p/19q Codeletion-Associated Immune Signature for Predicting Lower Grade Glioma Prognosis.Cellular and molecular neurobiology · 2022Article
- Investigating the Potential Use of Chemical Biopsy Devices to Characterize Brain Tumor Lipidomes.International journal of molecular sciences · 2022Article
6 more citing papers are in PubMed but not listed here.
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8 authors.
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Abstract
Background: Co-deletion of 1p and 19q marks a diffuse glioma subtype associated with relatively favorable overall survival; however, heterogeneous clinical outcomes are observed within this category. Methods: We assembled gene expression profiles and sample annotation of 374 glioma patients carrying the 1p/19q co-deletion. We predicted 1p/19q status using gene expression when annotation was missing. A first cohort was randomly split into training (n = 170) and a validation dataset (n = 163). A second validation set consisted of 41 expression profiles. An elastic-net penalized Cox proportional hazards model was applied to build a classifier model through cross-validation within the training dataset. Results: The selected 35-gene signature was used to identify high-risk and low-risk groups in the validation set, which showed significantly different overall survival (P = .00058, log-rank test). For time-to-death events, the high-risk group predicted by the gene signature yielded a hazard ratio of 1.78 (95% confidence interval, 1.02-3.11). The signature was also significantly associated with clinical outcome in the The Cancer Genome Atlas (CGA) IDH-mutant 1p/19q wild-type and IDH-wild-type glioma cohorts. Pathway analysis suggested that high risk was associated with increased acetylation activity and inflammatory response. Tumor purity was found to be significantly decreased in high-risk IDH-mutant with 1p/19q co-deletion gliomas and IDH-wild-type glioblastomas but not in IDH-wild-type lower grade or IDH-mutant, non-co-deleted gliomas. Conclusion: We identified a 35-gene signature that identifies high-risk and low-risk categories of 1p/19q positive glioma patients. We have demonstrated heterogeneity amongst a relatively new glioma subtype and provided a stepping stone towards risk stratification.
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