Evidence map›Paper›PMID 26183581›Full record

ArticleJournal of translational medicine2015

A potential signature of eight long non-coding RNAs predicts survival in patients with non-small cell lung cancer.

Meng Zhou, Maoni Guo, Dongfeng He, Xiaojun Wang, Yinqiu Cui, Haixiu Yang, Dapeng Hao, Jie Sun

Abstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 1 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

134 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. [Ferroptosis-related long non-coding RNA to predict the clinical outcome of non-small cell lung cancer after radiotherapy].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
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  11. Effects of Helicobacter pylori Infection on the Development of Chronic Gastritis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
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  20. Whole-exome sequencing,American journal of cancer research · 2021
    Article

74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Meng ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. biofomeng@hotmail.com.
Maoni GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. maoniguo@126.com.
Dongfeng HeDepartment of Interventional Radiology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, Heilongjiang, 150040, People's Republic of China. dongfengh@yeah.net.
Xiaojun WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. wangxjhrb@126.com.
Yinqiu CuiSchool of Life Sciences, Jilin University, Changchun, 130012, People's Republic of China. yinqiucui@126.com.
Haixiu YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. yanghaixiu@ems.hrbmu.edu.cn.
Dapeng HaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. haodapeng@ems.hrbmu.edu.cn.
Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. suncarajie@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulated evidence suggests that dysregulated expression of long non-coding RNAs (lncRNAs) may play a critical role in tumorigenesis and prognosis of cancer, indicating the potential utility of lncRNAs as cancer prognostic or diagnostic markers. However, the power of lncRNA signatures in predicting the survival of patients with non-small cell lung cancer (NSCLC) has not yet been investigated.

methodsWe performed an array-based transcriptional analysis of lncRNAs in large patient cohorts with NSCLC by repurposing microarray probes from the gene expression omnibus database. A risk score model was constructed based on the expression data of these eight lncRNAs in the training dataset of NSCLC patients and was subsequently validated in other two independent NSCLC datasets. The biological implications of prognostic lncRNAs were also analyzed using the functional enrichment analysis.

resultsAn expression pattern of eight lncRNAs was found to be significantly associated with overall survival (OS) of NSCLC patients in the training dataset. With the eight-lncRNA signature, patients of the training dataset could be classified into high- and low-risk groups with significantly different OS (median survival 1.67 vs. 6.06 years, log-rank test p = 4.33E-09). The prognostic power of eight-lncRNA signature was further validated in other two non-overlapping independent NSCLC cohorts, demonstrating good reproducibility and robustness of this eight-lncRNA signature in predicting OS of NSCLC patients. Multivariate regression and stratified analysis suggested that the prognostic power of the eight-lncRNA signature was independent of clinical and pathological factors. Functional enrichment analyses revealed potential functional roles of the eight prognostic lncRNAs in tumorigenesis.

conclusionsThese findings indicate that the eight-lncRNA signature may be an effective independent prognostic molecular biomarker in the prediction of NSCLC patient survival.

Indexed as

Gene Expression ProfilingAgedCarcinoma, Non-Small-Cell LungCohort StudiesDatabases, GeneticFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedMultivariate AnalysisOpen Reading FramesPrognosisProportional Hazards ModelsReproducibility of ResultsRNA, Long Noncoding

Identifiers

PMID26183581
PMCPMC4504221

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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.