ReviewCurrent oncology reports2018
Single-Cell RNA-Sequencing in Glioma.
Review in Current oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Single-cell transcriptomic profiling uncovers key molecular signatures in glioma pathogenesis.Frontiers in genetics · 2026Article
- Comprehensive characterization of the molecular feature of T cells in laryngeal cancer: evidence from integrated single-cell and bulk RNA sequencing data using multiple machine learning approaches.Annals of medicine · 2025Article
- Identification of a prognostic signature consisting of three macrophage-related genes for glioblastoma based on bulk and single-cell transcriptomes analyses.Annals of medicine · 2025Article
- Advances in Cellular Immune Theranostic Approaches for Glioblastoma: Current Trends and Future Directions.Cancer innovation · 2025Review
- Integrative analysis of mitochondrial-related gene profiling identifies prognostic clusters and drug resistance mechanisms in low-grade glioma.Discover oncology · 2025Article
- Identification of distinct profiles of glioblastoma through the immunocapture of extracellular vesicles from patient plasma.PloS one · 2025Article
- Exploring the role of Disulfidptosis in glioma progression: insights into tumor heterogeneity and therapeutic potential through single-cell RNA sequencing.Discover oncology · 2024Article
- Extracellular vesicles in glioblastoma: a challenge and an opportunity.NPJ precision oncology · 2024Review
- Single-cell RNA sequencing reveals pro-invasive cancer-associated fibroblasts in hypopharyngeal squamous cell carcinoma.Cell communication and signaling : CCS · 2023Article
- Prevention of tumor risk associated with the reprogramming of human pluripotent stem cells.Journal of experimental & clinical cancer research : CR · 2020Review
- Genetic Hallmarks and Heterogeneity of Glioblastoma in the Single-Cell Omics Era.Advanced therapeutics · 2020Article
- Roles of Extracellular Vesicles in High-Grade Gliomas: Tiny Particles with Outsized Influence.Annual review of genomics and human genetics · 2019Review
- Systematic expression analysis of ligand-receptor pairs reveals important cell-to-cell interactions inside glioma.Cell communication and signaling : CCS · 2019Article
- Immune contexture defined by single cell technology for prognosis prediction and immunotherapy guidance in cancer.Cancer communications (London, England) · 2019Review
- Potential application of cell reprogramming techniques for cancer research.Cellular and molecular life sciences : CMLS · 2019Review
- Single-cell analysis of tumors: Creating new value for molecular biomarker discovery of cancer stem cells and tumor-infiltrating immune cells.World journal of stem cells · 2018Review
- miR-17-5p-CXCL14 axis related transcriptome profile and clinical outcome in diffuse gliomas.OncoimmunologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
purpose of reviewIn this review, we seek to summarize the literature concerning the use of single-cell RNA-sequencing for CNS gliomas. RECENT
findingsSingle-cell analysis has revealed complex tumor heterogeneity, subpopulations of proliferating stem-like cells and expanded our view of tumor microenvironment influence in the disease process. Although bulk RNA-sequencing has guided our initial understanding of glioma genetics, this method does not accurately define the heterogeneous subpopulations found within these tumors. Single-cell techniques have appealing applications in cancer research, as diverse cell types and the tumor microenvironment have important implications in therapy. High cost and difficult protocols prevent widespread use of single-cell RNA-sequencing; however, continued innovation will improve accessibility and expand our of knowledge gliomas.
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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.