Evidence map›Paper›PMID 27844330›Full record

SynthesisPathology oncology research : POR2017

Prognostic Value of microRNA-9 in Various Cancers: a Meta-analysis.

Yunyuan Zhang, Jun Zhou, Meiling Sun, Guirong Sun, Yongxian Cao, Haiping Zhang, Runhua Tian, Lan Zhou, Liang Duan, Xian Chen and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Pathology oncology research : POR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Yunyuan ZhangDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Jun ZhouDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Meiling SunDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Guirong SunDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Yongxian CaoDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Haiping ZhangDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Runhua TianDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China.
Lan ZhouCollege of Laboratory Medicine, Key Laboratory of Laboratory Medical Diagnostics Designated by Chinese Ministry of Education, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Liang DuanDepartment of Laboratory Medicine, the Second Hospital Affiliated to Chongqing Medical University, Chongqing, 400010, People's Republic of China.
Xian ChenDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China. cxkakicoco2014@163.com.
Limin LunDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People's Republic of China. lunlmqd@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, there are more and more evidences from studies have revealed the association between microRNA-9 (miR-9) expression and outcome in multiple cancers, but inconsistent results have also been reported. It is necessary to rationalize a meta analysis of all available data to clarify the prognostic role of miR-9. Eligible studies were selected through multiple search strategies and the quality was assessed by MOOSE. Data was extracted from studies according to the key statistics index. All analyses were performed using STATA software. Twenty studies were selected in the meta-analysis to evaluate the prognostic role of miR-9 in multiple tumors. MiR-9 expression level was an independent prognostic biomarker for OS in tumor patients using multivariate and univariate analyses. High expression levels of miR-9 was demonstrated to associated with poor overall survival (OS) (HR = 2.23, 95 % CI: 1.56-3.17, P < 0.05) and recurrence free survival/progress free survival (RFS/PFS) (HR = 2.08, 95 % CI: 1.33-3.27, P < 0.05). Subgroup analysis showed that residence region (China and Japan), sample size, cancer type (solid or leukemia), follow-up months and analysis method (qPCR) did not alter the predictive value of miR-9 on OS in various cancers. Furthermore, no significant associations were detected for miR-9 expression and lymph node metastasis or distant metastasis. The present results suggest that promoted miR-9 expression is associated with poor OS in patients with general cancers.

Indexed as

Biomarkers, TumorDisease-Free SurvivalGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMicroRNAsNeoplasmsPrognosisBiomarkers, TumorMicroRNAsMIRN92 microRNA, humanCancerMeta-analysismiR-9Prognosis

Identifiers

PMID27844330
PMCPMC5487937

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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.