ArticleBiology direct2020
Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling.
Article in Biology direct, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 29 citations in OpenAlex.
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- Single-cell transcriptomic profiling uncovers key molecular signatures in glioma pathogenesis.Frontiers in genetics · 2026Article
- Do Glioma Cells Rewire Neural Circuits through Epigenetic Changes? DNA Methylation Analysis of Genes Involved in Neuron-Glioma Communication in the Human Frontal Cortex.Journal of molecular neuroscience : MN · 2025Article
- Identifying survival subtypes with autoencoder using multiple types of high-dimensional genomic data from studies of glioblastoma multiforme.Briefings in bioinformatics · 2025Article
- Integration of Multi-omics Data Based on Deep Learning for Subtyping of Low-Grade Glioma.Journal of molecular neuroscience : MN · 2025Article
- Curcumin-Induced Molecular Mechanisms in U-87 MG Glioblastoma Cells: Insights from Global Gene Expression Profiling.Molecules (Basel, Switzerland) · 2025Article
- Diamond Nanoparticles Suppress Migration of T98G Glioblastoma Cells by Targeting ECM-Integrin Interactions and Intracellular Signaling, Leading to Extensive Proteome Alterations.Nanotechnology, science and applications · 2025Article
- Multi-omics technologies and molecular biomarkers in brain tumor-related epilepsy.CNS neuroscience & therapeutics · 2024Review
- A Network Pharmacology Prediction and Molecular Docking-Based Strategy to Explore the Potential Pharmacological Mechanism ofInternational journal of molecular sciences · 2023Article
- Article
- Article
- BrainBase: a curated knowledgebase for brain diseases.Nucleic acids research · 2022Article
- Glioblastoma pharmacotherapy: A multifaceted perspective of conventional and emerging treatments (Review).Experimental and therapeutic medicine · 2021Review
- The p53 family member p73 in the regulation of cell stress response.Biology direct · 2021Review
- Global mapping of cancers: The Cancer Genome Atlas and beyond.Molecular oncology · 2021Review
- Serine and one-carbon metabolisms bring new therapeutic venues in prostate cancer.Discover oncology · 2021Review
- The expression of ELOVL4, repressed by MYCN, defines neuroblastoma patients with good outcome.Oncogene · 2021Article
- Recent advances in cancer immunotherapy.Discover oncology · 2021Review
- Central vascular ligation and mesentery based abdominal surgery.Discover oncology · 2021Review
- Understanding p53 tumour suppressor network.Biology direct · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundGlioma is one of the most common malignant brain tumors and exhibits low resection rate and high recurrence risk. Although a large number of glioma studies powered by high-throughput sequencing technologies have led to massive multi-omics datasets, there lacks of comprehensive integration of glioma datasets for uncovering candidate biomarker genes.
resultsIn this study, we collected a large-scale assemble of multi-omics multi-cohort datasets from worldwide public resources, involving a total of 16,939 samples across 19 independent studies. Through comprehensive molecular profiling across different datasets, we revealed that PRKCG (Protein Kinase C Gamma), a brain-specific gene detectable in cerebrospinal fluid, is closely associated with glioma. Specifically, it presents lower expression and higher methylation in glioma samples compared with normal samples. PRKCG expression/methylation change from high to low is indicative of glioma progression from low-grade to high-grade and high RNA expression is suggestive of good survival. Importantly, PRKCG in combination with MGMT is effective to predict survival outcomes in a more precise manner.
conclusionsPRKCG bears the great potential for glioma diagnosis, prognosis and therapy, and PRKCG-like genes may represent a set of important genes associated with different molecular mechanisms in glioma tumorigenesis. Our study indicates the importance of computational integrative multi-omics data analysis and represents a data-driven scheme toward precision tumor subtyping and accurate personalized healthcare.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.