Evidence map›Paper›PMID 35183135›Full record

ArticleBMC cancer2022

An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma.

Yuan Xu, Guofu Lin, Yifei Liu, Xianbin Lin, Hai Lin, Zhifeng Guo, Yingxuan Xu, Qinhui Lin, Shaohua Chen, Jiansheng Yang and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

11 authors at 2 institutions in 1 country.

Yuan Xu *Department of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Guofu Lin *Department of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Yifei Liu *Clinical Center for Molecular Diagnosis and Therapy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Xianbin Lin *Department of Thoracic Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Hai LinDepartment of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Zhifeng GuoDepartment of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Yingxuan XuDepartment of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Qinhui LinDepartment of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Shaohua ChenDepartment of Pathology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Jiansheng YangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China.
Yiming ZengDepartment of Respiratory Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian province, China. zeng_yiming@fjmu.edu.cn.
Fujian Medical University · CNSecond Affiliated Hospital of Fujian Medical University · CN

Funding

Fujian Provincial Health Fund for Young and Middle-aged People 2019-ZQNB-7Quanzhou major science and technology projects 2018-QDZX-9
6 · The paper itself

Abstract

backgroundAccumulating evidence indicates that long non-coding RNAs (lncRNAs) are involving in the tumorigenesis and metastasis of lung cancer. The aim of the study is to systematically characterize the lncRNA-associated competing endogenous RNA (ceRNA) network and identify key lncRNAs in the development of stage I lung adenocarcinoma (LUAD).

methodsTotally, 1,955 DEmRNAs, 165 DEmiRNAs and 1,107 DElncRNAs were obtained in 10 paired normal and LUAD tissues. And a total of 8,912 paired lncRNA-miRNA-mRNA network was constructed. Using the Cancer Genome Atlas (TCGA) dataset, the module of ME turquoise was revealed to be most relevant to the progression of LUAD though Weighted Gene Co-expression Network Analysis (WGCNA).

resultsOf the lncRNAs identified, LINC00639, RP4-676L2.1 and FENDRR were in ceRNA network established by our RNA-sequencing dataset. Using univariate Cox regression analysis, FENDRR was a risk factor of progression free survival (PFS) of stage I LUAD patients (HRs = 1.69, 95%CI 1.07-2.68, P < .050). Subsequently, diffe rential expression of FENDRR in paired normal and LUAD tissues was detected significant by real-time quantitative (qRT-PCR) (P < 0.001).

conclusionsThis study, for the first time, deciphered the regulatory role of FENDRR/miR-6815-5p axis in the progression of early-stage LUAD, which is needed to be established in vitro and in vivo.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorForkhead Transcription FactorsGene Regulatory NetworksHumansLung NeoplasmsMicroRNAsNeoplasm StagingPrognosisProportional Hazards ModelsRNA, Long NoncodingRNA, MessengerBiomarkers, TumorForkhead Transcription FactorsFOXF1 protein, humanMicroRNAsRNA, Long NoncodingRNA, MessengerceRNAFENDRRlncRNALung adenocarcinomaStage I

Identifiers

PMID35183135
PMCPMC8857797
OpenAlexW4220930572

What OpenQuestion holds

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LicenceCC BY
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.