Evidence map›Paper›PMID 28527107›Full record

ArticleMolecular neurobiology2018

An Immune-Related Six-lncRNA Signature to Improve Prognosis Prediction of Glioblastoma Multiforme.

Meng Zhou, Zhaoyue Zhang, Hengqiang Zhao, Siqi Bao, Liang Cheng, Jie Sun

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

152 citing papers in PubMed, 202 citations in OpenAlex.

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  17. ENTPD1-AS1-miR-144-3p-mediated high expression ofWorld journal of gastrointestinal oncology · 2023
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  19. Crosstalk betweenInternational journal of molecular sciences · 2023
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92 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Meng ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Zhaoyue ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Hengqiang ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Siqi BaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Liang ChengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. liangcheng@hrbmu.edu.cn.
Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. suncarajie@hotmail.com.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have demonstrated the utility and superiority of long non-coding RNAs (lncRNAs) as novel biomarkers for cancer diagnosis, prognosis, and therapy. In the present study, the prognostic value of lncRNAs in glioblastoma multiforme was systematically investigated by performing a genome-wide analysis of lncRNA expression profiles in 419 glioblastoma patients from The Cancer Genome Atlas (TCGA) project. Using survival analysis and Cox regression model, we identified a set of six lncRNAs (AC005013.5, UBE2R2-AS1, ENTPD1-AS1, RP11-89C21.2, AC073115.6, and XLOC_004803) demonstrating an ability to stratify patients into high- and low-risk groups with significantly different survival (median 0.899 vs. 1.611 years, p = 3.87e-09, log-rank test) in the training cohort. The six-lncRNA signature was successfully validated on independent test cohort of 219 patients with glioblastoma, and it revealed superior performance for risk stratification with respect to existing lncRNA-related signatures. Multivariate Cox and stratification analysis indicated that the six-lncRNA signature was an independent prognostic factor after adjusting for other clinical covariates. Further in silico functional analysis suggested that the six-lncRNA signature may be involved in the immune-related biological processes and pathways which are very well known in the context of glioblastoma tumorigenesis. The identified lncRNA signature had important clinical implication for improving outcome prediction and guiding the tailored therapy for glioblastoma patients with further prospective validation.

Indexed as

FemaleGene Expression Regulation, NeoplasticGlioblastomaHumansMaleMiddle AgedPrognosisRNA, Long NoncodingSurvival AnalysisSurvival RateRNA, Long NoncodingGlioblastoma multiformeImmuneLong non-coding RNAsPrognosisSignature

Identifiers

PMID28527107
OpenAlexW2616828035

What OpenQuestion holds

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Read underepoch 390

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.