ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2019
Seven genes for the prognostic prediction in patients with glioma.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Disulfidptosis as a key regulator of glioblastoma progression and immune cell impairment.Frontiers in immunology · 2025Article
- Development and validation of a glioma prognostic model based on telomere-related genes and immune infiltration analysis.Translational cancer research · 2024Article
- Downregulation of SMOC1 is associated with progression of colorectal traditional serrated adenomas.BMC gastroenterology · 2024Article
- Insulin-like growth factor binding protein-2 and glucose-regulated protein 78 kDa: Potential biomarkers affect prognosis in IDH-wildtype glioblastoma patients.Cancer medicine · 2023Article
- Expression characteristics and their functional role of IGFBP gene family in pan-cancer.BMC cancer · 2023Article
- GPGPS: a robust prognostic gene pair signature of glioma ensembling IDH mutation and 1p/19q co-deletion.Bioinformatics (Oxford, England) · 2023Article
- System analysis based on the migration- and invasion-related gene sets identifies the infiltration-related genes of glioma.Frontiers in oncology · 2023Article
- Pan-Cancer Analysis of the Roles and Driving Forces of RAB42.Biomolecules · 2022Article
- Identification of a pyroptosis-related prognosis gene signature and its relationship with an immune microenvironment in gliomas.Medicine · 2022Article
- The Progression Related GeneBrain sciences · 2022Article
- A 1p/19q Codeletion-Associated Immune Signature for Predicting Lower Grade Glioma Prognosis.Cellular and molecular neurobiology · 2022Article
- A novel hypoxia-driven gene signature that can predict the prognosis and drug resistance of gliomas.Frontiers in genetics · 2022Article
- Autophagy-Dependent Ferroptosis-Related Signature is Closely Associated with the Prognosis and Tumor Immune Escape of Patients with Glioma.International journal of general medicine · 2022Article
- RAB42 is a Potential Biomarker that Correlates With Immune Infiltration in Hepatocellular Carcinoma.Frontiers in molecular biosciences · 2022Article
- A positive feedback loop of lncRNA-RMRP/ZNRF3 axis and Wnt/β-catenin signaling regulates the progression and temozolomide resistance in glioma.Cell death & disease · 2021Article
- The molecular feature of macrophages in tumor immune microenvironment of glioma patients.Computational and structural biotechnology journal · 2021Article
- Identification of IGF2BP3 as an Adverse Prognostic Biomarker of Gliomas.Frontiers in genetics · 2021Article
- Prognostic Potential of Secreted Modular Calcium-Binding Protein 1 in Low-Grade Glioma.Frontiers in molecular biosciences · 2021Article
- Article
- Development of a gene expression-based prognostic signature for IDH wild-type glioblastoma.Neuro-oncology · 2020Article
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.
Funding
Abstract
purposeGlioma is a common malignant tumor of the central nervous system, which is characterized by a low cure rate, high morbidity, and high recurrence rate. Consequently, it is imperative to explore some indicators for prognostic prediction in glioma.
methodsWe obtained glioma data from The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) were obtained by R software from TCGA data sets. Through Cox regression analysis, risk scores were obtained to assess the weighted gene-expression levels, which could predict the prognosis of patients with glioma. The validity and the prognostic value of this model in glioma were confirmed by the manifestation of receiver-operating characteristic (ROC) curves, area under the curve (AUC), and 5-year overall survival (OS).
resultsIn total, 920 DEGs of transcriptome genes in glioma were extracted from the TCGA database. We identified a novel seven-gene signature associated with glioma. Among them, AL118505.1 and SMOC1 were positively related to the 5-year OS of patients with glioma, showing a better prognosis for glioma; however, RAB42, SHOX2, IGFBP2, HIST1H3G, and IGF2BP3 were negatively related to 5-year OS, displaying a worse prognosis. In addition, according to risk scores, AL118505.1 was also a protective factor, while others were risk factors. Furthermore, the expression levels of SHOX2, IGFBP2, and IGF2BP3 were significantly positively correlated with glioma grades. Receiver-operating characteristic (ROC) curve assessed the accuracy and sensitivity of the gene signature. Each of the seven genes for patients with the distribution of the risk score was presented in the heat map.
conclusionWe identified a novel seven-gene signature in patients with glioma, which could be used as a predictor for the prognosis of patients with glioma in the future.
Indexed as
Identifiers
30762207What Socratic holds
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 Socratic graph.