ReviewCancer science2018
Modeling phenotypes of malignant gliomas.
Review in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 16 citations in OpenAlex.
- Bridging the gap between tumor and disease: Innovating cancer and glioma models.The Journal of experimental medicine · 2025Review
- Review
- An In Vitro Model of Glioma Development.Genes · 2023Article
- Applications of Various Types of Nanomaterials for the Treatment of Neurological Disorders.Nanomaterials (Basel, Switzerland) · 2022Review
- Review
- Article
- Autophagy in cancers including brain tumors: role of MicroRNAs.Cell communication and signaling : CCS · 2020Review
- Developmental origins and oncogenic pathways in malignant brain tumors.Wiley interdisciplinary reviews. Developmental biology · 2019Review
- Lidocaine induces protective autophagy in rat C6 glioma cell line.International journal of oncology · 2019Article
- Risk assessment model constructed by differentially expressed lncRNAs for the prognosis of glioma.Oncology reports · 2018Article
- Modeling phenotypes of malignant gliomas.Cancer science · 2018Review
- Molecular Determinants of Malignant Brain Cancers: From Intracellular Alterations to Invasion Mediated by Extracellular Vesicles.International journal of molecular sciences · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malignant gliomas are primary tumors of the central nervous system characterized by diffuse infiltration into the brain and a high recurrence rate. Advances in comprehensive genomic studies have provided unprecedented insight into the genetic and molecular heterogeneity of these tumors and refined our understanding of their evolution from low to high grade. However, similar levels of phenotypic characterization are indispensable to understanding the complexity of malignant gliomas. Experimental glioma models have also achieved great progress in recent years. Advances in transgenic technologies and cell culture have allowed the establishment of mouse models that mirror the human disease with increasing fidelity and which support single-cell resolution for phenotypic analyses. Here we review the major types of preclinical glioma models, with an emphasis on how recent developments in experimental modeling have shed new light on two fundamental aspects of glioma phenotype, their cell of origin and their invasive potential.
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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.