ArticleJournal of neuro-oncology2018
Suppression of glioblastoma growth and angiogenesis through molecular targeting of methionine aminopeptidase-2.
Article in Journal of neuro-oncology, 2018. 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, 16 citations in OpenAlex.
- Article
- SNHG5 Exacerbates Sepsis-Induced Inflammatory Injury in Coronary Artery Endothelial Cells by Regulating METAP2-Mediated IL-8 Secretion.Mediators of inflammation · 2026Article
- Novel Methionine Aminopeptidase 2 Inhibitor M8891 Synergizes with VEGF Receptor Inhibitors to Inhibit Tumor Growth of Renal Cell Carcinoma Models.Molecular cancer therapeutics · 2024Article
- A First-in-human, Dose-escalation Study of the Methionine Aminopeptidase 2 Inhibitor M8891 in Patients with Advanced Solid Tumors.Cancer research communications · 2023Article
- Emerging degrader technologies engaging lysosomal pathways.Chemical Society reviews · 2022Review
- Glioblastoma and Methionine Addiction.International journal of molecular sciences · 2022Review
- Review
- Co-Administered Polymeric Nano-Antidotes for Improved Photo-Triggered Response in Glioblastoma.Pharmaceutics · 2018Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methionine aminopeptidases (MetAPs) have been pharmacologically linked to cell growth, angiogenesis, and tumor progression, which make it an attractive target for cancer therapy. We investigated MetAP2's biological role in glioblastoma (GBM), an aggressive tumor characterized by massive neovascularization. We examined the effect of anti-MetAP2 RNA interference on proliferation and angiogenesis in GBM cell line. The biological effects of MetAP2 knockdown were assessed by comparing the proliferation, tumorigenecity, and angiogenesis of parental cells and MetAP2 knockdown cells. We generated MetAP2 knockdown cells using lentiviral short hairpin RNAs against MetAP2 in SNB19 GBM cells, which normally express high levels of MetAP2. MetAP2 knockdown cells were less proliferative and less tumorigenic when compared to the parental cells. MetAP2 knockdown decreased vascular endothelial growth factor (VEGF) secretion and expression at the mRNA and protein levels. Decreased VEGF expression in MetAP2 knockdown cells correlated very well with decreased vessel formation in a tube formation assay. We showed that VEGF suppression in MetAP2 knockdown cells was mediated by the von Hippel-Lindau protein. In in vivo animal studies using an intracranial SNB19 tumor model, MetAP2 knockdown also reduced the tumor growth rate and angiogenesis, which in turn prolonged the survival of mice in xenograft model. Our results show that MetAP2 regulates angiogenesis in GBM and identify MetAP2-specific substrates that may serve as candidates for clinical assay development.
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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.