Evidence map›Paper›PMID 27145462›Full record

ArticleOncotarget2016

MicroRNA-300 inhibited glioblastoma progression through ROCK1.

Fucheng Zhou, Yang Li, Zhen Hao, Xuanxi Liu, Liang Chen, Yu Cao, Zuobin Liang, Fei Yuan, Jie Liu, Jianjiao Wang and 6 more

RetractedOpen access · diamondAbstract readRetracted Publication
In one paragraph

Article in Oncotarget, 2016. 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 It has been retracted, and should not be counted.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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 31 citations in OpenAlex.

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  15. MicroRNA-137 inhibits growth of glioblastoma through EGFR suppression.American journal of translational research · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 2 countries.

Fucheng ZhouDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Yang LiDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Zhen HaoDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Xuanxi LiuDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Liang ChenDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Yu CaoDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Zuobin LiangDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Fei YuanDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Jie LiuDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Jianjiao WangDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Yongri ZhengDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Deli DongHarbin Medical University, Harbin 150086, China.
Shan BianInstitute of Molecular Biology, Austrian Academy of Sciences, Vienna, Austria.
Baofeng YangHarbin Medical University, Harbin 150086, China.
Chuanlu JiangDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Qingsong LiDepartment of Neurosurgery, The 2nd Affiliated Hospital, Harbin Medical University, Harbin 150086, China.
Harbin Medical University · CNAustrian Academy of Sciences · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is a common type of brain aggressive tumors and has a poor prognosis. MicroRNAs (miRNAs) are a class of small, endogenous and non-coding RNAs that play crucial roles in cell proliferation, survival and invasion. Deregulated expression of miR-300 has been studied in a lot of cancers. However, the role of miR-300 in glioblastoma is still unknown. In this study, we demonstrated that miR-300 expression was downregulated in glioblastoma tissues compared with the normal tissues. Lower expression level of miR-300 was observed in thirty cases (75 %, 30/40) of glioblastoma samples compared with the normal samples. Moreover, the overall survival of glioblastoma patients with lower miR-300 expression level was shorter than those with higher miR-300 expression level. In addition, miR-300 expression was also downregulated in glioblastoma cell lines. Overexpression of miR-300 inhibited cell proliferation, cell cycle and invasion in glioblastoma cell line U87 and U251. Moreover, we identified ROCK1 as a direct target of miR-300 in U87 and U251 cells. Overexpression of ROCK1 partially rescued the miR-300-mediated cell growth. ROCK1 expression levels in glioblastoma tissues were higher than that in normal tissues. ROCK1 expression levels were higher in thirty-one cases of glioblastoma samples than their normal samples. Furthermore, the expression level ROCK1 was inversely correlated with the expression level of miR-300. Importantly, overexpression of miR-300 suppressed glioblastoma progression in an established xenograft model. In conclusion, we revealed that miR-300 might act as a tumor suppressor gene through inhibiting ROCK1 in glioblastoma.

Indexed as

Gene Expression Regulation, Neoplastic3' Untranslated RegionsAnimalsBase SequenceBrain NeoplasmsCell CycleCell Line, TumorCell ProliferationDisease ProgressionDown-RegulationFemaleGlioblastomaHumansMice, NudeMicroRNAsrho-Associated Kinases3' Untranslated RegionsMicroRNAsMIRN300 microRNA, humanrho-Associated KinasesROCK1 protein, humanglioblastomamicroRNAsmiR-300ROCK1

Identifiers

PMID27145462
PMCPMC5095018
OpenAlexW2343449613

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.