SynthesisOncology research2025
RNA Expression Signatures in Glioblastoma: A Systematic Review of Tumour Biology and Therapeutic Targets.
Synthesis in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Biomarkers of Treatment Response in Paediatric Medulloblastoma.Diagnostics (Basel, Switzerland) · 2026Review
- Epidemiological Trends and Shared Molecular Signatures of Pancreatic Ductal Adenocarcinoma and Diabetes: An Integrative Analysis Based on Global Burden of Disease and Gene Expression Omnibus Datasets.Journal of Cancer · 2026Article
- Ensemble Machine Learning Approaches Predict Survival in Lower-Grade Glioma Based on Glycosphingolipid Gene Expression and Metabolic Modeling.Computational and structural biotechnology journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Glioblastoma (GBM) remains the most aggressive primary brain tumour in adults, marked by pronounced cellular heterogeneity, diffuse infiltration, and resistance to conventional treatment. In recent years, transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma. This Methods: We conducted a systematic search of PubMed, The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and the GlioVis portal for studies published between January 2005 and April 2025, limited to English-language reports. Studies were eligible if they included adult glioblastoma tissue or patient-derived datasets and reported gene-level expression or clinical associations. Reviews, commentaries, and studies on non-GBM gliomas were excluded. Screening followed the PRISMA 2020 checklist, with 410 records initially identified, 90 duplicates removed, and 125 studies retained after full-text review. Data were synthesised descriptively, and findings were validated against TCGA/CGGA expression datasets to ensure consistency across cohorts. Results: We categorised recurrently dysregulated genes by their biological function, including transcription factors ( Conclusion: We further discuss the prognostic implications of these gene signatures and evaluate their potential utility in precision medicine, including current clinical trials that target molecular pathways identified through transcriptomic data. This review highlights the power of gene expression profiling to stratify glioblastoma subtypes and improve personalised therapeutic strategies.
Indexed as
Identifiers
What 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.