ReviewMetabolic brain disease2024
Genomic, epigenomic and transcriptomic landscape of glioblastoma.
Review in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Resveratrol as a Novel YAP Inhibitor Targeting Glioblastoma Progression and Sensitizing to Chemotherapy.Cancer science · 2026Article
- The Natural Triterpenoid Alisol B Overcomes Temozolomide Resistance in Glioblastoma Through Multi-Target Mechanisms: Coordinated Epigenetic, Metabolic, and Cell-Cycle Reprogramming.International journal of molecular sciences · 2026Article
- The BRAF V600E/MEK/ERK/METTL3 positive feedback loop regulates autophagy and promotes stemness and invasiveness in glioblastoma via mJournal of experimental & clinical cancer research : CR · 2025Article
- Heterogeneity of Extracellular Vesicles and Non-Vesicular Nanoparticles in Glioblastoma.Journal of extracellular vesicles · 2025Article
- Development, validation, and updating of prognostic models for m7G-associated genes from TAMs in lower-grade gliomas.Scientific reports · 2025Article
- Mechanistic insights into CDCA gene family-mediated glioblastoma progression: implications for diagnosis, prognosis, and therapeutic targeting.Hereditas · 2025Article
- PathX-CNN: An Enhanced Explainable Convolutional Neural Network for Survival Prediction and Pathway Analysis in Glioblastoma.bioRxiv : the preprint server for biology · 2025Article
- Treatment challenges in glioblastoma: a case report.Frontiers in oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mostly aggressive and extremely malignant type of central nervous system is Glioblastoma (GBM), which is characterized by an extremely short average survival time of lesser than 16 months. The primary cause of this phenomenon can be attributed to the extensively altered genome of GBM, which is characterized by the dysregulation of numerous critical signaling pathways and epigenetics regulations associated with proliferation, cellular growth, survival, and apoptosis. In light of this, different genetic alterations in critical signaling pathways and various epigenetics regulation mechanisms are associated with GBM and identified as distinguishing markers. Such GBM prognostic alterations are identified in PI3K/AKT, p53, RTK, RAS, RB, STAT3 and ZIP4 signaling pathways, metabolic pathway (IDH1/2), as well as alterations in epigenetic regulation genes (MGMT, CDKN2A-p16
Indexed as
Identifiers
39180605What 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.