ArticleJournal of cancer research and clinical oncology2018
A novel gene signature based on five glioblastoma stem-like cell relevant genes predicts the survival of primary glioblastoma.
Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 43 citations in OpenAlex.
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- Inhibition of ICAM1 diminishes stemness and enhances antitumor immunity in glioblastoma via β-catenin/PD-L1 signaling.Nature communications · 2025Article
- Elevated Antigen-Presenting-Cell Signature Genes Predict Stemness and Metabolic Reprogramming States in Glioblastoma.International journal of molecular sciences · 2025Article
- Kunitz-type protease inhibitor TFPI2 remodels stemness and immunosuppressive tumor microenvironment in glioblastoma.Nature immunology · 2023Article
- Review
- A Novel Defined Pyroptosis-Related Gene Signature for Predicting Prognosis and Treatment of Glioma.Frontiers in oncology · 2022Article
- AEBP1 as a potential immune-related prognostic biomarker in glioblastoma: a bioinformatic analyses.Annals of translational medicine · 2021Article
- The role mMolecular brain · 2021Review
- Development of a prognostic index based on immunogenomic landscape analysis in glioma.Immunity, inflammation and disease · 2021Article
- Identification of a mesenchymal-related signature associated with clinical prognosis in glioma.Aging · 2021Article
- ADAM and ADAMTS Proteins, New Players in the Regulation of Hepatocellular Carcinoma Microenvironment.Cancers · 2021Review
- Predictive value of MGMT promoter methylation on the survival of TMZ treatedCancer biology & medicine · 2021Article
- A novel gene signature based on five immune checkpoint genes predicts the survival of glioma.Chinese neurosurgical journal · 2021Article
- Molecular Subtypes Based on the Stemness Index Predict Prognosis in Glioma Patients.Frontiers in genetics · 2021Article
- Promoting Prognostic Model Application: A Review Based on Gliomas.Journal of oncology · 2021Review
- Whole-transcriptome sequencing profiling identifies functional and prognostic signatures in patients with PTPRZ1-MET fusion-negative secondary glioblastoma multiforme.Oncology letters · 2020Article
- Upregulated expression of MMP family genes is associated with poor survival in patients with esophageal squamous cell carcinoma via regulation of proliferation and epithelial‑mesenchymal transition.Oncology reports · 2020Article
- Transcriptional Characteristics ofFrontiers in cell and developmental biology · 2020Article
- Secretory Pathway KinaseOncoTargets and therapy · 2020Article
- Microarray gene profiling analysis of glioblastoma cell line U87 reveals suppression of theArchives of medical science : AMS · 2019Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
purposePrimary glioblastoma (pGBM) is the most common and lethal type of neoplasms in the central nervous system, while the existing biomarkers, lacking consideration on the stemness changes of GBM cells, are not specific enough to predict the complex prognosis respectively. We aimed to build a high-efficiency prediction gene signature related to GBM cell stemness and investigate its prognostic value in primary glioblastoma.
methodsDifferentially expressed genes were screened in GSE23806 database. The selected genes were then verified by univariate Cox regression in 591 patients from four enormous independent databases, including the Chinese Glioma Genome Atlas (CGGA), TCGA, REMBRANDT and GSE16011. Finally, the intersected genes were included to build the gene signature. GO analysis and GSEA were carried out to explore the bioinformatic implication.
resultsThe novel five-gene signature was used to identify high- and low-risk groups in the four databases, and the high-risk group showed notably poorer prognosis (P < 0.05). Gene ontology (GO) terms including "immune response", "apoptotic process", and "angiogenesis" were picked out by GO analysis and GSEA, which revealed that the gene signature was highly possibly related to the stemness of GSCs and predicting the prognosis of GBM effectively.
conclusionWe built a gene signature with five glioblastoma stem-like cell (GSC) relevant genes, and predicted the survival in four independent databases effectively, which is possibly related to the stemness of GSCs in pGBM. Several GO terms were investigated to be correlated to the signature. The signature can predict the prognosis of glioblastoma efficiently.
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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 Socratic graph.