ArticleOncology letters2018
Tunicamycin inhibits progression of glioma cells through downregulation of the MEG-3-regulated wnt/β-catenin signaling pathway.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Review
- Long Non-Coding RNAs in Diagnosis, Treatment, Prognosis, and Progression of Glioma: A State-of-the-Art Review.Frontiers in oncology · 2021Review
- Roles of long non-coding RNAs in the hallmarks of glioma.Oncology letters · 2020Review
- Lcn2-derived Circular RNA (hsa_circ_0088732) Inhibits Cell Apoptosis and Promotes EMT in Glioma via the miR-661/RAB3D Axis.Frontiers in oncology · 2020Article
- MEG3 promotes proliferation and inhibits apoptosis in osteoarthritis chondrocytes by miR-361-5p/FOXO1 axis.BMC medical genomics · 2019Article
Corrections and comments
- Retraction · 2025-11-03Author Unresponsive · Concerns/Issues about Data · Duplication of Data · Euphemisms for Duplication · Euphemisms for Plagiarism · Investigation by Journal/Publisher · Investigation by Third Party · Plagiarism of Data · · See also: https://pubpeer.com/publications/A835B25E69E783215BDC3356773253
- Retracted
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is derived from the oncogenic transformation of brain and spinal cord glial cells, and is one of the most common primary brain tumors. Tunicamycin (TUN) can significantly inhibit glioma growth and aggressiveness by promoting apoptosis in glioma cells. The purpose of the present study was to investigate the effects of TUN on growth of glioma cells and examine the TUN-mediated signaling pathway. The inhibitory effects of TUN on apoptosis, growth, aggressiveness and cell cycle arrest of glioma tumor cells were determined by western blotting, reverse transcription-quantitative polymerase chain reaction, apoptotic assays and immunofluorescence. The results demonstrated that treatment with TUN suppressed growth, migration and invasion of glioma carcinoma cells. In addition, TUN treatment induced apoptosis of glioma cells through downregulation of Bcl-2 and P53 expression levels. Findings also indicated that TUN suppressed proliferation and arrested the glioma cells in the S phase of the cell cycle. Further analysis of the mechanisms of TUN demonstrated that TUN treatment upregulated the expression levels of maternally expressed gene (MEG)-3, wnt and β-catenin in glioma cells. Furthermore, knockdown of MEG-3 expression reversed the TUN-decreased wnt/β-catenin signaling pathway, which subsequently also reversed the TUN-inhibited growth and aggressiveness of glioma cells. In conclusion, the findings in the present study indicated that TUN treatment inhibited growth and aggressiveness through MEG-3-mediated wnt/β-catenin signaling, suggesting that TUN may be an efficient anticancer agent for the treatment of glioma.
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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.