Evidence map›Paper›PMID 28949095›Full record

ArticleThoracic cancer2017

Differential protein-coding gene and long noncoding RNA expression in smoking-related lung squamous cell carcinoma.

Shicheng Li, Xiao Sun, Shuncheng Miao, Jia Liu, Wenjie Jiao

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Role of Long Noncoding RNAs in Smoking-Induced Lung Cancer: An In Silico Study.Computational and mathematical methods in medicine · 2022
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  17. Lentivirus-mediated shRNA targetingOncoTargets and therapy · 2018
    Article
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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

5 authors at 1 institution in 1 country.

Shicheng LiDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.ORCID 0000-0002-5893-8822
Xiao SunDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.
Shuncheng MiaoDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.
Jia LiuSchool of Pharmacy, Qingdao University, Qingdao, China.
Wenjie JiaoDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCigarette smoking is one of the greatest preventable risk factors for developing cancer, and most cases of lung squamous cell carcinoma (lung SCC) are associated with smoking. The pathogenesis mechanism of tumor progress is unclear. This study aimed to identify biomarkers in smoking-related lung cancer, including protein-coding gene, long noncoding RNA, and transcription factors.

methodsWe selected and obtained messenger RNA microarray datasets and clinical data from the Gene Expression Omnibus database to identify gene expression altered by cigarette smoking. Integrated bioinformatic analysis was used to clarify biological functions of the identified genes, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the construction of a protein-protein interaction network, transcription factor, and statistical analyses. Subsequent quantitative real-time PCR was utilized to verify these bioinformatic analyses.

resultsFive hundred and ninety-eight differentially expressed genes and 21 long noncoding RNA were identified in smoking-related lung SCC. GO and KEGG pathway analysis showed that identified genes were enriched in the cancer-related functions and pathways. The protein-protein interaction network revealed seven hub genes identified in lung SCC. Several transcription factors and their binding sites were predicted. The results of real-time quantitative PCR revealed that AURKA and BIRC5 were significantly upregulated and LINC00094 was downregulated in the tumor tissues of smoking patients. Further statistical analysis indicated that dysregulation of AURKA, BIRC5, and LINC00094 indicated poor prognosis in lung SCC.

conclusionProtein-coding genes AURKA, BIRC5, and LINC00094 could be biomarkers or therapeutic targets for smoking-related lung SCC.

Indexed as

Aurora Kinase ABiomarkers, TumorCarcinoma, Squamous CellDatabases, GeneticData MiningFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansInhibitor of Apoptosis ProteinsLung NeoplasmsOligonucleotide Array Sequence AnalysisProtein Interaction MapsRNA, Long NoncodingAURKA protein, humanAurora Kinase ABiomarkers, TumorBIRC5 protein, humanInhibitor of Apoptosis ProteinsRNA, Long NoncodingSurvivinBiomarkersgene expression profilinglncRNAsmoking-related lung SCC

Identifiers

PMID28949095
PMCPMC5668523
OpenAlexW2760111708

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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.