Evidence map›Paper›PMID 31994347›Full record

ArticleThoracic cancer2020

Unique metastasis-associated lncRNA signature optimizes prediction of tumor relapse in lung adenocarcinoma.

Xiaoshi Zhang, Jingyi Han, Lutao Du, Xiaoli Li, Jing Hao, Lili Wang, Guixi Zheng, Weili Duan, Yujiao Xie, Yinghui Zhao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Correlations of Long Noncoding RNA HNF4A-AS1 Alternative Transcripts with Liver Diseases and Drug Metabolism.Drug metabolism and disposition: the biological fate of chemicals · 2024
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Xiaoshi ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Jingyi HanDepartment of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, China.
Lutao DuDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Xiaoli LiDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Jing HaoDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Lili WangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Guixi ZhengDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Weili DuanDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Yujiao XieDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Yinghui ZhaoDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.
Xin ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Mingjin ZouDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Chuanxin WangDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China.ORCID 0000-0002-3796-6293
Second Hospital of Shandong University · CNQilu Hospital of Shandong University · CNShandong University · CN

Funding

Fundamental Research Funds of Shandong University 2018JC002Key Research and Development Project of Shandong Province 2019GSF108034Natural Science Foundation of Shandong Province ZR2017MH014Shandong Technological Development Project 2016GSF201120Shandong Technological Development Project 2019GSF108054Taishan Scholar Program of Shandong Province
6 · The paper itself

Abstract

backgroundLocal relapses and metastases are primary causes of death in lung cancer patients. In the present study, we aimed to develop a prognostic signature based on metastasis-associated lncRNAs in patients with lung adenocarcinoma (LUAD).

methodsFirstly, the potential metastasis-associated lncRNAs were identified by analyzing high-throughput data from The Cancer Genome Atlas (TCGA), and based on which, an lncRNA signature was constructed for prediction of relapse in LUAD patients using Cox proportional hazards regression analysis. Moreover, the prognostic performance of the lncRNA signature was evaluated using Kaplan-Meier survival analysis, time-dependent receiver operating characteristic (ROC) curve and Cox analysis, respectively. In addition, the potential metastasis-associated function of these six lncRNAs was confirmed by lncRNA over-expression or depletion and in vitro transwell assays in LUAD cells.

resultsAn lncRNA signature consisting of six most important prognostic factors (LINC01819, ZNF649-AS1, HNF4A-AS1, FAM222A-AS1, LINC02323 and LINC00672) was developed. The signature was an independent predictor for patients' relapse-free survival (RFS), which could provide higher tumor relapse prediction capability compared with the TNM staging system at three years and five years, respectively (P = 0.0209 and P = 0.0468). Furthermore, the combination of this lncRNA signature and TNM stage had better prognostic value than TNM stage alone at three and five years, respectively (P = 0.0006 and P = 0.0096). Additionally, all the lncRNAs of the signature had a regulatory role in the LUAD cell mobility.

conclusionsThis novel six-lncRNA signature had considerable prognostic value for prediction of relapse in LUAD patients. KEY POINTS: Significant findings of the study The unique metastasis-associated lncRNA signature was related to tumor metastasis and prognosis in LUAD patients. What this study adds This signature had considerable prognostic value for prediction of relapse in LUAD patients.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinoma of LungAgedBiomarkers, TumorFemaleFollow-Up StudiesGene Expression ProfilingHumansLung NeoplasmsLymphatic MetastasisMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingRNA, Long NoncodingROC CurveBiomarkers, TumorRNA, Long NoncodinglncRNA signaturelung adenocarcinomametastasispredictionprognosis

Identifiers

PMID31994347
PMCPMC7049496
OpenAlexW3003235501

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.