Evidence map›Paper›PMID 22672859›Full record

SynthesisJournal of experimental & clinical cancer research : CR2012

Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues.

Peng Guan, Zhihua Yin, Xuelian Li, Wei Wu, Baosen Zhou

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of experimental & clinical cancer research : CR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 7 pooled it
8.6field-weighted citation impact, top 2% 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

100 citing papers in PubMed, 7 syntheses or guidelines pooled it, 170 citations in OpenAlex.

  1. Human papillomavirus and lung cancer: an overview and a meta-analysis.Journal of cancer research and clinical oncology · 2019
    Pooled it
  2. Pooled it
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  8. Article
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  10. A Robust NSCLC Biomarker- miR-7-5p: ItsMicroRNA (Shariqah, United Arab Emirates) · 2025
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  14. Review
  15. Article
  16. Article
  17. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  18. Article
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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.

Peng GuanDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, China.
Zhihua Yin
Xuelian Li
Wei Wu
Baosen Zhou
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the major cause of cancer death globally, it is often diagnosed at an advanced stage and has one of the lowest survival rates of any type of cancer. The common interest in the field of lung cancer research is the identification of biomarkers for early diagnosis and accurate prognosis. There is increasing evidence to suggest that microRNAs play important and complex roles in lung cancer.

methodsA meta-analysis was conducted to review the published microRNA expression profiling studies that compared the microRNAs expression profiles in lung cancer tissues with those in normal lung tissues. A vote-counting strategy that considers the total number of studies reporting its differential expression, the total number of tissue samples used in the studies and the average fold change was employed.

resultsA total of 184 differentially expressed microRNAs were reported in the fourteen microRNA expression profiling studies that compared lung cancer tissues with normal tissues, with 61 microRNAs were reported in at least two studies. In the panel of consistently reported up-regulated microRNAs, miR-210 was reported in nine studies and miR-21 was reported in seven studies. In the consistently reported down-regulated microRNAs, miR-126 was reported in ten studies and miR-30a was reported in eight studies. Four up-regulated microRNAs (miR-210, miR-21, miR-31 and miR-182) and two down-regulated mcroiRNAs (miR-126 and miR-145) were consistently reported both in squamous carcinoma and adenocarcinoma-based subgroup analysis, with the other 14 microRNAs solely reported in one or the other subset.

conclusionsIn conclusion, the top two most consistently reported up-regulated microRNAs were miR-210 and miR-21. The results of this meta-analysis of human lung cancer microRNA expression profiling studies might provide some clues of the potential biomarkers in lung cancer. Further mechanistic and external validation studies are needed for their clinical significance and role in the development of lung cancer.

Indexed as

Biomarkers, TumorLung NeoplasmsMicroRNAsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansOligonucleotide Array Sequence AnalysisPrognosisSurvival RateBiomarkers, TumorMicroRNAsMIRN210 microRNA, humanMIRN21 microRNA, human

Identifiers

PMID22672859
PMCPMC3502083
OpenAlexW2143896497

What OpenQuestion holds

Textmetadata
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.