Evidence map›Paper›PMID 28484081›Full record

ArticleOncotarget2017

Identification of aberrantly expressed long non-coding RNAs in stomach adenocarcinoma.

Jianbin Gu, Yong Li, Liqiao Fan, Qun Zhao, Bibo Tan, Kelei Hua, Guobin Wu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 55 citations in OpenAlex.

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  9. [Progress in Role of FEZF1-AS1 in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
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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

7 authors at 2 institutions in 1 country.

Jianbin GuDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Yong LiDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Liqiao FanDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Qun ZhaoDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Bibo TanDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Kelei HuaDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Guobin WuDepartment of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Hebei, China.
Fourth Hospital of Hebei Medical University · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimStomach adenocarcinoma (STAD) is a common malignancy worldwide. This study aimed to identify the aberrantly expressed long non-coding RNAs (lncRNAs) in STAD.

resultsTotal of 74 DElncRNAs and 449 DEmRNAs were identified in STAD compared with paired non-tumor tissues. The DElncRNA/DEmRNA co-expression network was constructed, which covered 519 nodes and 2993 edges. The qRT-PCR validation results of DElncRNAs were consistent with our bioinformatics analysis based on RNA-sequencing. The DEmRNAs co-expressed with DElncRNAs were significantly enriched in gastric acid secretion, complement and coagulation cascades, pancreatic secretion, cytokine-cytokine receptor interaction and Jak-STAT signaling pathway. The expression levels of the nine candidate DElncRNAs in TCGA database were compatible with our RNA-sequencing. FEZF1-AS1, HOTAIR and LINC01234 had the potential diagnosis value for STAD. MATERIALS AND

methodsThe lncRNA and mRNA expression profile of 3 STAD tissues and 3 matched adjacent non-tumor tissues was obtained through high-throughput RNA-sequencing. Differentially expressed lncRNAs/mRNAs (DElncRNAs/DEmRNAs) were identified in STAD. DElncRNA/DEmRNA co-expression network construction, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to predict the biological functions of DElncRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was subjected to validate the expression levels of DEmRNAs and DElncRNAs. Moreover, the expression of DElncRNAs was validated through The Cancer Genome Atlas (TCGA) database. The diagnosis value of candidate DElncRNAs was accessed by receiver operating characteristic (ROC) analysis.

conclusionsOur work might provide useful information for exploring the tumorigenesis mechanism of STAD and pave the road for identification of diagnostic biomarkers in STAD.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticRNA, Long NoncodingAdenocarcinomaCluster AnalysisComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationRNA, MessengerROC CurveStomach NeoplasmsBiomarkers, TumorRNA, Long NoncodingRNA, Messengerco-expressionexpression profilelong non-coding RNAstomach adenocarcinomatumorigenesis

Identifiers

PMID28484081
PMCPMC5564761
OpenAlexW2607069802

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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.