Evidence map›Paper›PMID 29026116›Full record

SynthesisScientific reports2017

The Value of lncRNA NEAT1 as a Prognostic Factor for Survival of Cancer Outcome: A Meta-Analysis.

Yunyuan Zhang, Limin Lun, Hui Li, Qing Wang, Jieru Lin, Runhua Tian, Huazheng Pan, Haiping Zhang, Xian Chen

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 14% 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, 4 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  12. The Implications of the Long Non-Coding RNAInternational journal of molecular sciences · 2019
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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

9 authors at 2 institutions in 1 country.

Yunyuan ZhangDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Limin LunDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Hui LiDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Qing WangDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Jieru LinDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Runhua TianDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Huazheng PanDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Haiping ZhangDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Xian ChenDepartment of Clinical Laboratory, the Affiliated Hospital of Qingdao University, Qingdao, 266003, China. cxkakicoco2014@163.com.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present meta-analysis aimed to analyze available data to identify the prognostic role of NEAT1 in multiple carcinomas. A systematic search was performed by using several computerized databases from inception to June 7, 2017. The quantity of the publications was assessed according to MOOSE checklist. Pooled HRs with 95% CI was calculated to summarize the effect. A total of 12 studies with 3,262 cancer patients were pooled in the analysis to evaluate the prognostic value of NEAT1 in multiple tumors. High expression levels of NEAT1 were demonstrated to be associated with poor OS (HR = 1.71, 95%CI: 1.37-2.14, P < 0.001) and tumor progression (III/IV vs. I/II: HR 1.76, 95%CI: 1.40-2.21, P < 0.00001). Subgroup analysis showed that NEAT1 detection method (qRT-PCR) and sample size (more or less than 100) did not alter the predictive value of NEAT1 on OS in various cancers. According to the meta-regression results, the large heterogeneity of meta-analysis may be attributed to the differences of NEAT1 detection method. Furthermore, elevated NEAT1 expression significantly predicted lymph node metastasis (HR: 2.10, 95%CI: 1.32-3.33, P = 0.002) and distant metastasis (HR: 2.80, 95%CI: 1.60-4.91, P = 0.0003) respectively. The results indicate that NEAT1 expression level is a prognostic biomarker for OS and metastasis in general tumors.

Indexed as

Biomarkers, TumorCarcinomaHumansLymphatic MetastasisNeoplasmsPrognosisRNA, Long NoncodingBiomarkers, TumorNEAT1 long non-coding RNA, humanRNA, Long Noncoding

Identifiers

PMID29026116
PMCPMC5638961
OpenAlexW2761578611

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.