Evidence map›Paper›PMID 29541420›Full record

ArticleOncotarget2018

Long non-coding RNAs function as novel predictors and targets of non-small cell lung cancer: a systematic review and meta-analysis.

Yanlu Xiong, Tao Wang, Mingxing Wang, Jinbo Zhao, Xiaofei Li, Zhipei Zhang, Yongsheng Zhou, Jiabao Liu, Lintao Jia, Yong Han

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  12. Cancers · 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

10 authors at 1 institution in 1 country.

Yanlu XiongDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Tao WangDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Mingxing WangDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Jinbo ZhaoDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Xiaofei LiDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Zhipei ZhangDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Yongsheng ZhouDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Jiabao LiuDepartment of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, Xi'an, China.
Lintao JiaState Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, China.
Yong HanDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNon-small cell lung cancer (NSCLC) is associated with high morbidity and mortality, leading the understanding the pathogenesis paramount. Recent studies suggest that long non-coding RNAs (lncRNAs) play an important role in NSCLC. We conducted a systematic review to examine the relationship between lncRNAs and NSCLC. MATERIALS AND

methodsWe calculated hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate overall survival (OS), and odds ratios (ORs) and 95% CIs to assess clinicopathological parameters. Also, pooled sensitivity and specificity values were used to measure the diagnostic value of lncRNAs for NSCLC. Finally, we summarized the molecular mechanisms underlying the activity of lncRNAs in NSCLC.

resultsWe found that high expression of oncogenic lncRNAs was associated with a poor prognosis (OS: HR, 1.18; 95% CI, 1.14-1.22) and poor clinicopathological characteristics (tumor size: OR, 2.74 or 2.04; 95% CI, 1.66-4.52 or 1.09-3.79 based on the two classification criterias; lymph node metastasis: OR, 3.30; 95% Cl, 2.42-4.49), Also, high expression of tumor-suppressor lncRNAs was correlated with longer survival times (OS: HR, 0.54; 95% CI, 0.44-0.66) and improved clinical characteristics (tumor size: OR, 0.33 or 0.28; 95% CI, 0.14-0.75 or 0.18-0.45; lymph node metastasis: OR, 0.37; 95% Cl, 0.26-0.52). Furthermore, we found that lncRNAs could be used as serum biomarkers of NSCLC (sensitivity: 0.81; 95% CI, 0.72-0.87; specificity: 0.83; 95% CI, 0.73-0.90). Finally, lncRNAs regulated expression of key proteins, thereby mediating development of a malignant phenotype.

conclusionslncRNAs have significant clinical value in NSCLC and could function as novel predictors of disease and/or as therapeutic targets.

Indexed as

biomarkerlncRNAmalignancyNSCLCprognosis

Identifiers

PMID29541420
PMCPMC5834293
OpenAlexW2782236925

What OpenQuestion holds

Textmetadata
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.