ArticleAging2019
Development and validation of a nomogram with an autophagy-related gene signature for predicting survival in patients with glioblastoma.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
75 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.
- mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses.BMC cancer · 2024Pooled it
- Risk factor analysis and nomogram establishment and verification of brain astrocytoma patients based on SEER database.Scientific reports · 2023Trial
- Comprehensive analyses of biological function and tumor microenvironment with cuproptosis regulators and construction of a cuproptosis-related scoring system in thyroid cancer based on bioinformatics and experimental validation.Frontiers in genetics · 2026Article
- A autophagy related gene signature to predict the prognosis of pancreatic carcinoma and tumor immune microenvironment evaluation.Scientific reports · 2025Article
- Review
- Targeting autophagy to enhance cancer immunotherapy: emerging mechanisms and strategies.Medical oncology (Northwood, London, England) · 2025Review
- Explainable Machine Learning Models for Glioma Subtype Classification and Survival Prediction.Cancers · 2025Article
- Identification of Autophagy-Related Prognostic Signature for Glioblastoma Standard Therapy.Biomolecules & therapeutics · 2025Article
- Identification of autophagy-related immune targets for enhancing immunotherapy in pancreatic cancer aggressiveness.Discover oncology · 2025Article
- Predicting Overall Survival in Patients with Male Breast Cancer: Nomogram Development and External Validation Study.JMIR cancer · 2025Article
- Transcriptomic profiles of single-cell autophagy-related genes (ATGs) in lung diseases.Cell biology and toxicology · 2025Article
- Autophagy in brain tumors: molecular mechanisms, challenges, and therapeutic opportunities.Journal of translational medicine · 2025Review
- The pyroptosis-related gene signature predicts prognosis and reveals immune microenvironment infiltration in reclassified glioblastoma based on 2021 WHO classification.Frontiers in immunology · 2025Article
- Article
- Identification and validation of a novel robust glioblastoma prognosis model based on bioinformatics.Heliyon · 2024Article
- Histone acetylation risk model predicts prognosis and guides therapy selection in glioblastoma: implications for chemotherapy and anti-CTLA-4 immunotherapy.BMC immunology · 2024Article
- Article
- New insights into targeted therapy of glioblastoma using smart nanoparticles.Cancer cell international · 2024Review
- The Role of Autophagy in Human Uveal Melanoma and the Development of Potential Disease Biomarkers and Novel Therapeutic Paradigms.Biomedicines · 2024Review
- Deciphering glycosylation-driven prognostic insights and therapeutic prospects in glioblastoma through a comprehensive regulatory model.Frontiers in oncology · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) is the most common brain tumor with significant morbidity and mortality. Autophagy plays a vital role in GBM development and progression. We aimed to establish an autophagy-related multigene expression signature for individualized prognosis prediction in patients with GBM. Differentially expressed autophagy-related genes (DE-ATGs) in GBM and normal samples were screened using TCGA. Univariate and multivariate Cox regression analyses were performed on DE-ATGs to identify the optimal prognosis-related genes. Consequently, NRG1 (HR=1.142, P=0.008), ITGA3 (HR=1.149, P=0.043), and MAP1LC3A (HR=1.308, P=0.014) were selected to establish the prognostic risk score model and validated in the CGGA validation cohort. GSEA revealed that these genes were mainly enriched in cancer- and autophagy-related KEGG pathways. Kaplan-Meier survival analysis demonstrated that patients with high risk scores had significantly poorer overall survival (OS, log-rank P= 6.955×10
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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.