Evidence map›Paper›PMID 32356177›Full record

ArticleJournal of cancer research and clinical oncology2020

Genome-wide analysis of prognostic-related lncRNAs, miRNAs and mRNAs forming a competing endogenous RNA network in lung squamous cell carcinoma.

Qiang Ju, Yan-Jie Zhao, Sai Ma, Xin-Mei Li, Heng Zhang, Shao-Qiang Zhang, Yuan-Ming Yang, Song-Xia Yan

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 50 citations in OpenAlex.

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  17. The Role of SliTrk5 in Central Nervous System.BioMed research international · 2022
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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

8 authors at 2 institutions in 1 country.

Qiang Ju *Department of Blood Transfusion, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China. juqiang88@163.com.ORCID http://orcid.org/0000-0002-5375-0863
Yan-Jie Zhao *School of Public Health, Qingdao University, Qingdao, China.
Sai MaQingdao International Travel Health Center, Qingdao, China.
Xin-Mei LiSchool of Public Health, Qingdao University, Qingdao, China.
Heng ZhangSchool of Public Health, Qingdao University, Qingdao, China.
Shao-Qiang ZhangDepartment of Blood Transfusion, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Yuan-Ming YangDepartment of Blood Transfusion, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Song-Xia YanDepartment of Blood Transfusion, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Qingdao University · CNShenzhen International Travel Health Care Center · CN

Funding

Shandong Provincial Natural Science Foundation ZR2018PH025The Doctoral Scientific Fund Project of the Affiliated Hospital of Qingdao University 2796The National Science Foundation for Young Scientists of China 81802415
6 · The paper itself

Abstract

purposeAs a type of cancer with the highest morbidity and mortality, lung squamous cell carcinoma (LUSC) has a very poor prognosis. Long-non-coding RNA (lncRNA) has recently attracted attentions because it can play the role of competing endogenous RNA (ceRNA) to inhibit microRNA (miRNA) functions. In this study, we aimed to find prognosis-related lncRNAs, miRNAs and mRNAs and construct a prognosis-related ceRNA network.

methodsThe original LUSC RNA-sequencing data and miRNA profiles data were downloaded from the cancer genome atlas (TCGA) database. Differentially expressed lncRNAs, miRNAs and mRNAs were then identified between patients with lymph node metastasis and no lymph node metastasis. Univariate Cox regression analysis was performed to find the survival-associated lncRNAs, miRNAs and mRNAs. Subsequently, prognostic-related ceRNA network was established. By multivariate Cox regression analysis, three lncRNA signatures and three mRNA signatures were developed and used for predicting LUSC patients' survival.

resultsA total of 224 lncRNAs, 160 miRNAs, 913 mRNAs were identified between samples with lymph node metastasis and no lymph node metastasis. Univariate Cox regression analysis showed that, among them, 28 lncRNAs, 8 miRNAs, 105 mRNAs were significantly associated with patients' overall survival time. Further pathway and enrichment analysis suggested that these mRNAs were associated with the regulation of transmembrane transport, regulation of blood circulation, plasma lipoprotein particle organization. Then we constructed a survival-related ceRNA network including 9 lncRNAs, 8 miRNAs and 23 mRNAs. Additionally, a multivariate Cox regression analysis demonstrated that three lncRNAs (AL161431.1, LINC02389, APCDD1L.DT) and three mRNAs (KLK6, SLITRK5, CCDC177) had a significant prognostic value. Risk score indicated that lncRNA signature and mRNA signature could independently predict overall survival in LUSC patients.

conclusionThe current study provided a better understanding of the ceRNA network in the progression of LUSC and laid a theoretical foundation for LUSC prognosis.

Indexed as

MicroRNAsRNA InterferenceRNA, Long NoncodingRNA, MessengerBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateLung NeoplasmsLymphatic MetastasisPrognosisROC CurveBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerceRNA networklncRNALung squamous cell carcinomamiRNAmRNAPrognosis

Identifiers

PMID32356177
PMCPMC11804364
OpenAlexW3022556434

What OpenQuestion holds

Textmetadata
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.