Evidence map›Paper›PMID 31186776›Full record

ArticleOncology letters2019

ceRNA network analysis reveals prognostic markers for glioblastoma.

Hao Wang, Heying Zhang, Juan Zeng, Yonggang Tan

Abstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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.

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  7. Crosstalk betweenInternational journal of molecular sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hao WangDepartment of Neurosurgery, Luhe Hospital, Capital Medical University, Tongzhou, Beijing 101149, P.R. China.
Heying ZhangDepartment of Oncology, Shengjing Hospital, China Medical University, Shenyang, Liaoning 110004, P.R. China.
Juan ZengDepartment of Oncology, Shengjing Hospital, China Medical University, Shenyang, Liaoning 110004, P.R. China.
Yonggang TanDepartment of Oncology, Shengjing Hospital, China Medical University, Shenyang, Liaoning 110004, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a common aggressive cancer that originates in the brain, which has a poor prognosis. It is therefore crucial to understand its underlying genetic mechanisms in order to develop novel therapies. The present study aimed to identify some prognostic markers and candidate therapeutic targets for GBM. To do so, RNA expression levels in tumor and normal tissues were compared by microarray analysis. The differential expression of RNAs in normal and cancer tissues was analyzed, and a competing endogenous RNA (ceRNA) network was constructed for pathway analysis. The results revealed that RNA expression patterns were considerably different between normal and tumor samples. A ceRNA network was therefore constructed with the differentially expressed RNAs. ETS variant 5 (

Indexed as

ceRNA networkglioblastomamicroarray analysisprognostic markertherapeutic target

Identifiers

PMID31186776
PMCPMC6507312

What OpenQuestion holds

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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.