Evidence map›Paper›PMID 28241741›Full record

ArticleBMC bioinformatics2017

Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival.

Yu-Chiao Chiu, Li-Ju Wang, Tzu-Pin Lu, Tzu-Hung Hsiao, Eric Y Chuang, Yidong Chen

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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  8. [Research progress of competing endogenous RNA].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    Review
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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

6 authors at 3 institutions in 2 countries.

Yu-Chiao ChiuGreehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
Li-Ju WangDepartment of Medical Research, Taichung Veterans General Hospital, No. 1650, Section 4, Taiwan Blvd., Xitun District, Taichung City, 40705, Taiwan.
Tzu-Pin LuDepartment of Public Health, National Taiwan University, Taipei, 10055, Taiwan.
Tzu-Hung HsiaoDepartment of Medical Research, Taichung Veterans General Hospital, No. 1650, Section 4, Taiwan Blvd., Xitun District, Taichung City, 40705, Taiwan. thsiao@vghtc.gov.tw.
Eric Y ChuangGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Section 4, Roosevelt Rd., Taipei, 10617, Taiwan. chuangey@ntu.edu.tw.
Yidong ChenGreehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA. ChenY8@uthscsa.edu.
National Taiwan University · TWTaichung Veterans General Hospital · TWThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies illuminated a novel role of microRNA (miRNA) in the competing endogenous RNA (ceRNA) interaction: two genes (ceRNAs) can achieve coexpression by competing for a pool of common targeting miRNAs. Individual biological investigations implied ceRNA interaction performs crucial oncogenic/tumor suppressive functions in glioblastoma multiforme (GBM). Yet, a systematic analysis has not been conducted to explore the functional landscape and prognostic significance of ceRNA interaction.

resultsIncorporating the knowledge that ceRNA interaction is highly condition-specific and modulated by the expressional abundance of miRNAs, we devised a ceRNA inference by differential correlation analysis to identify the miRNA-modulated ceRNA pairs. Analyzing sample-paired miRNA and gene expression profiles of GBM, our data showed that this alternative layer of gene interaction is essential in global information flow. Functional annotation analysis revealed its involvement in activated processes in brain, such as synaptic transmission, as well as critical tumor-associated functions. Notably, a systematic survival analysis suggested the strength of ceRNA-ceRNA interactions, rather than expressional abundance of individual ceRNAs, among three immune response genes (CCL22, IL2RB, and IRF4) is predictive of patient survival. The prognostic value was validated in two independent cohorts.

conclusionsThis work addresses the lack of a comprehensive exploration into the functional and prognostic relevance of ceRNA interaction in GBM. The proposed efficient and reliable method revealed its significance in GBM-related functions and prognosis. The highlighted roles of ceRNA interaction provide a basis for further biological and clinical investigations.

Indexed as

Brain NeoplasmsChemokine CCL22Epistasis, GeneticGlioblastomaHumansInterferon Regulatory Factor-4Interferon Regulatory FactorsInterleukin-2 Receptor beta SubunitMicroRNAsRNA, NeoplasmSurvival AnalysisCCL22 protein, humanChemokine CCL22IL2RB protein, humanInterferon Regulatory Factor-4Interferon Regulatory FactorsInterleukin-2 Receptor beta SubunitMicroRNAsRNA, NeoplasmCompeting endogenous RNADifferential correlation analysisGlioblastoma multiformeImmune genesSurvival prediction

Identifiers

PMID28241741
PMCPMC5330036
OpenAlexW2593731814

What OpenQuestion holds

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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.