Evidence map›Paper›PMID 26063957›Full record

SynthesisDisease markers2015

Prognostic Value of MicroRNA-182 in Cancers: A Meta-Analysis.

Fei Wang, Shanliang Zhong, Haijun Zhang, Wei Zhang, Hongming Zhang, Xue Wu, Baoan Chen

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. CPT1B, a metabolic molecule, is also an independent risk factor in CN-AML.Cancer biomarkers : section A of Disease markers · 2023
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  6. miR-182 modulates cell proliferation and invasion in prostate cancer via targeting ST6GALNAC5.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
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  8. Review
  9. 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

7 authors at 3 institutions in 1 country.

Fei WangDepartment of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China.ORCID 0000-0002-1122-5286
Shanliang ZhongCenter of Clinical Laboratory Science, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing 210009, China.ORCID 0000-0001-8200-0511
Haijun ZhangDepartment of Oncology, Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China.
Wei ZhangDepartment of Pathology, Medical School, Southeast University, Nanjing 210009, China.ORCID 0000-0003-3304-9161
Hongming ZhangDepartment of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China.ORCID 0000-0003-0928-7784
Xue WuDepartment of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China.ORCID 0000-0002-9002-844X
Baoan ChenDepartment of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China.
Zhongda Hospital Southeast University · CNJiangsu Cancer Hospital · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMicroRNA-182 (miR-182) exhibits altered expression in various cancers. The aim of this study was to investigate the predictive value of miR-182 expression for cancer patient survival.

methodsEligible studies were identified through multiple search strategies, and the hazard ratios (HRs) for patient outcomes were extracted and estimated. A meta-analysis was performed to evaluate the prognostic value of miR-182.

resultsIn total, 14 studies were included. A high miR-182 expression level predicted a worse outcome with a pooled HR of 2.18 (95% CI: 1.53-3.11) in ten studies related to overall survival (OS), especially in Chinese populations. The results of seven studies evaluating disease-free survival/relapse-free survival/recurrence-free interval/disease-specific survival (DFS/RFS/RFI/DSS) produced a pooled HR of 1.77 (95% CI: 0.91-3.43), which was not statistically significant; however, the trend was positive. When disregarding the DSS from one study, the expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67-3.79).

conclusionsHigh miR-182 expression is associated with poor OS and DFS/RFS/RFI in some types of cancers, and miR-182 may be a useful prognostic biomarker for predicting cancer prognosis. However, given the current insufficient relevant data, further clinical studies are needed.

Indexed as

Disease-Free SurvivalHumansMicroRNAsNeoplasmsPrognosisSurvival AnalysisUp-RegulationMicroRNAsMirn182 microRNA, human

Identifiers

PMID26063957
PMCPMC4439499
OpenAlexW1508435728

What OpenQuestion holds

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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.