ArticleTechnology in cancer research & treatment
A Novel 10-Gene Signature Predicts Poor Prognosis in Low Grade Glioma.
Article in Technology in cancer research & treatment. 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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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Uncovering G Protein-Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis.Annals of clinical and translational neurology · 2026Article
- Immunogenomic signatures defining the molecular subtypes of head and neck cancer.Discover oncology · 2026Article
- CKMT1B regulates the proliferation, migration, invasion, and apoptosis of colorectal cancer cells through the AKT/mTOR/STAT3 pathway.Molecular genetics and genomics : MGG · 2025Article
- A Hypermutable Region in the DISP2 Gene Links to Natural Selection and Late-Onset Neurocognitive Disorders in Humans.Molecular neurobiology · 2024Article
- Article
- All eyes on Eya: A unique transcriptional co-activator and phosphatase in cancer.Biochimica et biophysica acta. Reviews on cancer · 2024Review
- Article
- Localization Pattern of Dispatched Homolog 2 (DISP2) in the Central and Enteric Nervous System.Journal of molecular neuroscience : MN · 2023Article
- AnPeerJ · 2023Article
- Establishment of three heterogeneous subtypes and a risk model of low-grade gliomas based on cell senescence-related genes.Frontiers in immunology · 2022Article
- Exploring Immune-Related Prognostic Signatures in the Tumor Microenvironment of Colon Cancer.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimLow grade glioma (LGG) is a lethal brain cancer with relatively poor prognosis in young adults. Thus, this study was performed to develop novel molecular biomarkers to effectively predict the prognosis of LGG patients and finally guide treatment decisions.
methodssurvival-related genes were determined by Kaplan-Meier survival analysis and multivariate Cox regression analysis using the expression and clinical data of 506 LGG patients from The Cancer Genome Atlas (TCGA) database and independently validated in a Chinese Glioma Genome Atlas (CGGA) dataset. A prognostic risk score was established based on a linear combination of 10 gene expression levels using the regression coefficients of the multivariate Cox regression models. GSEA was performed to analyze the altered signaling pathways between the high and low risk groups stratified by median risk score.
resultsWe identified a total of 1489 genes significantly correlated with patients' prognosis in LGG. The top 5 protective genes were
conclusionsThe 10-gene signature may become novel prognostic and diagnostic biomarkers to considerably improve the prognostic prediction in LGG.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.