Evidence map›Paper›PMID 33499813›Full record

ArticleBMC cancer2021

Comprehensive analysis of ceRNA network related to lincRNA in glioblastoma and prediction of clinical prognosis.

Guangdong Liu, Danian Liu, Jingjing Huang, Jianxin Li, Chuang Wang, Guangyao Liu, Shiqiang Ge, Haidong Gong

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Guangdong LiuDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, No. 5, Tongxiang Road, Aimin, MuDanJiang, HeiLongJiang, China.
Danian LiuDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, MuDanJiang, China.
Jingjing HuangDepartment of Infectious Diseases, Hongqi Hospital Affiliated to Mudanjiang Medical University, MuDanJiang, China.
Jianxin LiDepartment of Neurosurgery, Jiaozuo People's Hospital, JiaoZuo, China.
Chuang WangDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, No. 5, Tongxiang Road, Aimin, MuDanJiang, HeiLongJiang, China.
Guangyao LiuDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, No. 5, Tongxiang Road, Aimin, MuDanJiang, HeiLongJiang, China.
Shiqiang GeDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, No. 5, Tongxiang Road, Aimin, MuDanJiang, HeiLongJiang, China.
Haidong GongDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, No. 5, Tongxiang Road, Aimin, MuDanJiang, HeiLongJiang, China. 149585079@qq.com.ORCID https://orcid.org/0000-0003-2002-5179
Mudanjiang Medical University · CNJiaozuo University · CN

Funding

Hong Qi Scientific Research Fund Science and Technology Program 2019HQ-06Mudanjiang Medical University Graduate Innovation Fund of China 2019YJSCX-05MY
6 · The paper itself

Abstract

backgroundLong intergenic non-coding RNAs (lincRNAs) are capable of regulating several tumours, while competitive endogenous RNA (ceRNA) networks are of great significance in revealing the biological mechanism of tumours. Here, we aimed to study the ceRNA network of lincRNA in glioblastoma (GBM).

methodsWe obtained GBM and normal brain tissue samples from TCGA, GTEx, and GEO databases, and performed weighted gene co-expression network analysis and differential expression analysis on all lincRNA and mRNA data. Subsequently, we predicted the interaction between lincRNAs, miRNAs, and target mRNAs. Univariate and multivariate Cox regression analyses were performed on the mRNAs using CGGA data, and a Cox proportional hazards regression model was constructed. The ceRNA network was further screened by the DEmiRNA and mRNA of Cox model.

resultsA prognostic prediction model was constructed for patients with GBM. We assembled a ceRNA network consisting of 18 lincRNAs, 6 miRNAs, and 8 mRNAs. Gene Set Enrichment Analysis was carried out on four lincRNAs with obvious differential expressions and relatively few studies in GBM.

conclusionWe identified four lincRNAs that have research value for GBM and obtained the ceRNA network. Our research is expected to facilitate in-depth understanding and study of the molecular mechanism of GBM, and provide new insights into targeted therapy and prognosis of the tumour.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksBiomarkers, TumorFollow-Up StudiesGlioblastomaHumansMicroRNAsPrognosisRetrospective StudiesRNA, Long NoncodingRNA, MessengerSoftwareSurvival RateBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerceRNAGlioblastomalincRNAPrognostic modelWeighted gene co-expression network analysis

Identifiers

PMID33499813
PMCPMC7836476
OpenAlexW3122368158

What Socratic 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 Socratic graph.