Evidence map›Paper›PMID 27833074›Full record

SynthesisOncotarget2016

The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis.

Manni Wang, Xuelei Ma, Chenjing Zhu, Linghong Guo, Qingfang Li, Ming Liu, Jing Zhang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 2022
    Review
  9. MiR-582-3p participates in the regulation of biological behaviors of A549 cells by ambient PMEnvironmental science and pollution research international · 2022
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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.

Manni WangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China.
Xuelei MaState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China.
Chenjing ZhuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China.
Linghong GuoState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China.
Qingfang LiState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China.
Ming LiuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, PR China.
Jing ZhangWest China Hospital, Sichuan University, Chengdu, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReports have demonstrated the prognostic function of long non-coding RNAS (lncRNAS) in patients with cancer. However, their prognostic functions in non small cell lung cancer (NSCLC) remain controversial. We therefore performed a meta-analysis on six lncRNAs (PVT1, AFAP1-AS1, LINC01133, ANRIL, MEG3 and UCA1) to clarify their prognostic roles in NSCLC.

resultsThirty-six studies involving 6267 patients with NSCLC and 34 lncRNAs were included. Of the listed lncRNAs, 20 were shown to negatively affect patients' overall survival while the high expression of 13 lncRNAs indicated better survival outcomes. MATERIALS AND

methodsThe log-rank p value and Kaplan-Meier survival curves of survival outcomes were extracted for hazard ratio (HR) calculation. Survival outcomes were measured by overall survival (OS) and event free survival (EFS) which were then analyzed by calculating pooled hazard ratios. The heterogeneity was detected by Q statistic and I-squared statistic.

conclusionsThe abnormal expression of lncRNAs may significantly affect NSCLC patients' survival and may serve as a novel predictive factor for prognosis of NSCLC patients.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungChi-Square DistributionDisease-Free SurvivalDisease ProgressionHumansKaplan-Meier EstimateLung NeoplasmsMultivariate AnalysisOdds RatioProportional Hazards ModelsRisk FactorsRNA, Long NoncodingTime FactorsTreatment OutcomeBiomarkers, TumorRNA, Long NoncodinglncRNAsmeta-analysisNSCLCprognosis

Identifiers

PMID27833074
PMCPMC5348393

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.