Evidence map›Paper›PMID 25510966›Full record

SynthesisScientific reports2014

The association between abnormal microRNA-10b expression and cancer risk: a meta-analysis.

Yajie Lu, Jun Yao, Jiani Yu, Qinjun Wei, Xin Cao

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Demethylation of miR-10b plays a suppressive role in ccRCC cells.International journal of clinical and experimental pathology · 2015
    Article
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.

Yajie LuDepartment of Biotechnology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, Jiangsu P.R. China.
Jun YaoDepartment of Biotechnology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, Jiangsu P.R. China.
Jiani YuDepartment of Biotechnology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, Jiangsu P.R. China.
Qinjun WeiDepartment of Biotechnology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, Jiangsu P.R. China.
Xin CaoDepartment of Biotechnology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, Jiangsu P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have investigated the association between abnormal microRNA-10b expression and the risk of various developing cancers, but the results are inconsistent. We searched all publications addressing the level of microRNA-10b expression in cancer cases and noncancerous controls (Accessed: August 2014). Thirty-six studies on 14 types of cancer were included. Among them, 25 studies were subjected to the meta-analysis with a vote-counting strategy, 13 studies were estimated using odds ratio (OR) and diagnostic accuracy, and 2 studies were assessed by both methods. It was found that vestibular schwannomas ranked first among the reported cancer types with up-regulated microRNA-10b expression; melanoma ranked first among the reported cancer types with down-regulated microRNA-10b expression; while breast cancer and hepatocellular cancer presented inconsistent microRNA-10b regulation. Of 13 included studies calculated for OR and diagnostic accuracy, it was shown that high-expression of microRNA-10b could be significantly associated with cancer risk (OR = 32.80, 95% CI: 11.90-90.37, P<0.0001), and the area under the summary receiver operating characteristic (SROC) curve for microRNA-10b high-expression in the diagnosis of cancer is 0.81, which suggested that high-expression of microRNA-10b can predict worse outcomes in some types of cancer and the regular monitoring of miR-10b expression might be useful in the clinical practice.

Indexed as

Gene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasmsRisk FactorsROC CurveMicroRNAsMIRN10 microRNA, human

Identifiers

PMID25510966
PMCPMC4267202

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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.