Evidence map›Paper›PMID 28927412›Full record

SynthesisWorld journal of surgical oncology2017

Analysis of microRNA (miRNA) expression profiles reveals 11 key biomarkers associated with non-small cell lung cancer.

Ke Wang, Mingwei Chen, Wei Wu

Abstract readMeta-Analysis
In one paragraph

Synthesis in World journal of surgical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Ke WangDepartment of Clinical Medicine, Xi'an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention and Diagnosis and Treatment, Xi'an City, Shaanxi Province, 710021, China.
Mingwei ChenDepartment of Clinical Medicine, Xi'an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention and Diagnosis and Treatment, Xi'an City, Shaanxi Province, 710021, China. lilures@163.com.
Wei WuDepartment of Respiratory, First Affiliated Hospital of Xi'an Medical University, Shaanxi Research Center of Respiratory Diseases Prevention & Diagnosis and Treatment, Xi'an City, Shaanxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) accounts for more than 85% of lung cancer cases which cause most of cancer-related deaths globally. However, the results vary largely in different studies due to different platforms and sample sizes. Here, we aim to identify the key miRNAs in the carcinogenesis of NSCLC that might be potential biomarkers for this cancer.

methodsMeta-analysis was performed on miRNA profile using seven datasets of NSCLC studies. Furthermore, we predicted and investigated the functions of genes regulated by key miRNAs.

resultsEleven key miRNAs were identified, including 2 significantly upregulated ones (hsa-miR-21-5p and hsa-miR-233-3p) and 9 downregulated ones (hsa-miR-126-3p, hsa-miR-133a-3p, hsa-miR-140-5p, hsa-miR-143-5p, hsa-miR-145-5p, hsa-miR-30a-5p, hsa-miR-30d-3p, hsa-miR-328-3pn, and hsa-miR-451). The functional enrichment analysis revealed that both up- and downregulated miRNAs were proportionally associated with regulation of transcription from RNA polymerase II promoter. According to transcription factor analysis, there were 65 (43.9%) transcription factors influenced by both up- and downregulated miRNAs.

conclusionsIn this study, 11 meta-signature miRNAs, as well as their target genes and transcription factors, were found to play significant role in carcinogenesis of NSCLC. These target genes identified in our study may be profitable to diagnosis and prognostic prediction of NSCLC as biomarkers.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCarcinogenesisCarcinoma, Non-Small-Cell LungComputational BiologyDatasets as TopicDown-RegulationEarly Detection of CancerGene Expression ProfilingHumansLung NeoplasmsMicroRNAsPrognosisPromoter Regions, GeneticRNA Polymerase IITranscription FactorsBiomarkers, TumorMicroRNAsRNA Polymerase IITranscription FactorsBiomarkerMeta-analysismiRNAsNon-small cell lung cancer

Identifiers

PMID28927412
PMCPMC5606074

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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.