Evidence map›Paper›PMID 31576252›Full record

ArticlePeerJ2019

Identification of lncRNAs associated with lung squamous cell carcinoma prognosis in the competitive endogenous RNA network.

Lingyu Qi, Tingting Zhang, Yan Yao, Jing Zhuang, Cun Liu, Ruijuan Liu, Changgang Sun

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 22% 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, 23 citations in OpenAlex.

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  7. Significance of LINC00460 in the progression and prognosis in digestive tract tumors.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
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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 at 4 institutions in 1 country.

Lingyu QiCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Tingting ZhangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yan YaoClinical Medical Colleges, Weifang Medical University, Weifang, China.
Jing ZhuangDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Cun LiuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ruijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Changgang SunDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.ORCID 0000-0002-6648-3602
Shandong University of Traditional Chinese Medicine · CNWeifang Chinese Medicine Hospital · CNAffiliated Hospital of Shandong University of Traditional Chinese Medicine · CNWeifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong noncoding RNAs (lncRNAs) play a role in the formation, development, and prognosis of various cancers. Our study aimed to identify prognostic-related lncRNAs in lung squamous cell carcinoma (LUSC), which may provide new perspectives for individualized treatment of patients. MATERIALS AND

methodsThe RNA sequencing (lncRNA, microRNA (miRNA), mRNA) data and clinical information related to LUSC were obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed RNA sequences were used to construct the competitive endogenous RNA (ceRNA) network. In present study, we mainly used two prognostic verification methods, Cox analysis and survival analysis, to identify the prognostic relevance of specific lncRNAs and construct prognostic model of lncRNA.

resultsDatasets on 551 samples of lncRNA and mRNA and 523 miRNA samples were retrieved from the TCGA database. Analysis of the normal and LUSC samples identified 170 DElncRNAs, 331 DEmiRNAs, and 417 DEmRNAs differentially expressed RNAs. The ceRNA network contained 27 lncRNAs, 43 miRNAs, and 11 mRNAs. Furthermore, we identified seven specific lncRNAs (ERVH48-1, HCG9, SEC62-AS1, AC022148.1, LINC00460, C5orf17, LINC00261) as potential prognostic factors after correlation analysis, and five of the seven lncRNAs (AC022148.1, HCG9, LINC00460, C5orf17, LINC00261) constructed a prognostic model of LUSC.

conclusionIn present study, we identified seven lncRNAs in the ceRNA network that are associated with potential prognosis in LUSC patients, and constructed a prognostic model of LUSC which can be used to assess the prognosis risk of clinical patients. Further biological experiments are needed to elucidate the specific molecular mechanisms underlying them.

Indexed as

Long noncoding RNALung squamous cell carcinomaOverall survivalPrognosis modelThe competive endogenous RNA network

Identifiers

PMID31576252
PMCPMC6753923
OpenAlexW2974243900

What OpenQuestion holds

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LicenceCC BY-NC
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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.