Evidence map›Paper›PMID 25157366›Full record

SynthesisBioMed research international2014

The clinicopathological significance of microRNA-155 in breast cancer: a meta-analysis.

Hui Zeng, Cheng Fang, Seungyoon Nam, Qing Cai, Xinghua Long

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
1.0field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  18. Role of miR-155 in drug resistance of breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    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

5 authors at 4 institutions in 2 countries.

Hui ZengZhongnan Hospital of Wuhan University, Wuhan 430071, China.
Cheng FangZhongnan Hospital of Wuhan University, Wuhan 430071, China.
Seungyoon NamCancer Genomics Branch, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, Republic of Korea.
Qing CaiHubei University of Chinese Medicine, Wuhan 430061, China.
Xinghua LongZhongnan Hospital of Wuhan University, Wuhan 430071, China.
Zhongnan Hospital of Wuhan University · CNHubei University of Chinese Medicine · CNNational Cancer Center · KRWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrevious studies demonstrated that the associations between expression level of microRNA-155 (miR-155) and clinicopathological significance of breast cancer remained inconsistent. Therefore, we performed a meta-analysis based on eligible studies to summarize the possible associations.

methodsWe identified eligible studies published up to May 2014 by a comprehensive search of PubMed, EMBASE, CNKI, and VIP databases. The analysis was performed with RevMan. 5.0 software.

resultsA total of 15 studies were included. The results of meta-analysis showed that miR-155 was positively correlated with breast cancer with standardized mean difference (SMD) = 1.22. Elevated miR-155 was found in Her-2 positive or lymph node metastasis positive, or p53 mutant type breast cancer. But the result showed to be insignificant in TNM comparison. With respect to estrogen receptor alpha (ER) and progesterone receptor (PR) status, both of them showed significant associations with SMD = -1.2 and -1.85, respectively.

conclusionMiR-155 detection might have a diagnostic value in breast cancer patients. It might be used as an auxiliary biomarker for different clinicopathological breast cancer.

Indexed as

Breast NeoplasmsCase-Control StudiesFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsPublication BiasMicroRNAsMIRN155 microRNA, human

Identifiers

PMID25157366
PMCPMC4137503
OpenAlexW2034054444

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.