Evidence map›Paper›PMID 26943588›Full record

ArticleOncotarget2016

Analysis of plasma microRNA expression profiles revealed different cancer susceptibility in healthy young adult smokers and middle-aged smokers.

Bing Shi, Hongmin Gao, Tianyang Zhang, Qinghua Cui

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
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  9. Article
  10. Article
  11. MiR-34b-5p Suppresses Melanoma Differentiation-Associated Gene 5 (Frontiers in cellular and infection microbiology · 2017
    Article
  12. Regulatory mechanisms of microRNA expression.Journal of translational medicine · 2016
    Review
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

4 authors at 2 institutions in 1 country.

Bing ShiDepartment of Cardiology, Beijing Military General Hospital, Beijing, China.
Hongmin GaoDepartment of Respiratory, Beijing Military General Hospital No.263 Clinic, Beijing, China.
Tianyang ZhangDepartment of Cardiology, Beijing Military General Hospital, Beijing, China.
Qinghua CuiDepartment of Biomedical Informatics, Centre for Noncoding RNA Medicine, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing, China.
The Military General Hospital of Beijing PLA · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cigarette smoking is a world-wide habit and an important risk factor for cancer. It was known that cigarette smoking can change the expression of circulating microRNAs (miRNAs) in healthy middle-aged adults. However, it remains unclear whether cigarette smoking can change the levels of circulating miRNAs in young healthy smokers and whether there are differences in cancer susceptibility for the two cases. In this study, the miRNA expression profiles of 28 smokers and 12 non-smokers were determined by Agilent human MicroRNA array. We further performed bioinformatics analysis for the differentially expressed miRNAs. The result showed that 35 miRNAs were differentially expressed. Among them, 24 miRNAs were up-regulated and 11 miRNAs were down-regulated in smokers. Functional enrichment analysis showed that the deregulated miRNAs are related to immune system and hormones regulation. Strikingly, the up-regulated miRNAs are mostly associated with hematologic cancers, such as lymphoma, leukemia. As a comparison, the up-regulated plasma miRNAs in middle-aged smokers are mostly associated with solid cancers, such as hepatocellular carcinoma and lung cancer, suggesting that smoking could have different influences on young adults and middle-aged adults. In a conclusion, we identified the circulating miRNAs deregulated by cigarette smoking and revealed that the age-dependent deregulated miRNAs tend to be mainly involved in different types of human cancers.

Indexed as

SmokersAdultCarcinoma, HepatocellularGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansLiver NeoplasmsLung NeoplasmsMaleMicroRNAsMiddle AgedNeoplasmsSmokingYoung AdultMicroRNAscancercigarette smokingexpression profilemicroRNAplasma

Identifiers

PMID26943588
PMCPMC5008314
OpenAlexW2290442360

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.