Evidence map›Paper›PMID 33328429›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Identification of Potential Biomarkers of Prognosis-Related Long Non-Coding RNA (lncRNA) in Pediatric Rhabdoid Tumor of the Kidney Based on ceRNA Networks.

Xiongwei Wu, Jie Liu, Chengzhan Zhu, Mingdi Ma, Xin Chen, Yusheng Liu, Nan Xia, Qian Dong

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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  8. The Mechanism Action of German Chamomile (Frontiers in pharmacology · 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

8 authors at 2 institutions in 1 country.

Xiongwei WuDepartment of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Jie LiuDepartment of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Chengzhan ZhuShandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, Qingdao, Shandong, China (mainland).
Mingdi MaDepartment of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Xin ChenDepartment of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Yusheng LiuDepartment of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Nan XiaShandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, Qingdao, Shandong, China (mainland).
Qian DongDepartment of Pediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Long non-coding RNA (lncRNA) can act as competing endogenous RNA (ceRNA) during tumor development. However, no study has elucidated the ceRNA network in pediatric rhabdoid tumor of the kidney (RTK) and its prognostic-related lncRNAs. The goal of the present study was to identify potential biomarkers of prognostic-related lncRNAs. MATERIAL AND METHODS RNA sequencing and clinical data were procured from the TARGET database. The "EdgeR" package was used to obtain differentially expressed lncRNA (DElncRNA), differentially expressed messenger RNAs (DEmRNA), and differentially expressed microRNAs (DEmiRNA). Cytoscape software was used to construct a ceRNA network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were conducted on the ceRNA network-related DEmRNA. The Kaplan-Meier method was used for predicting survival with ceRNA network-related DElncRNA. Univariate and multivariate Cox analyses were used to identify prognosis-related lncRNAs in the ceRNA network, and an RTK prognostic signature was constructed. RESULTS We identified 1109 DElncRNAs, 215 DEmiRNAs, and 3436 DEmRNAs; and 107 DElncRNAs, 21 DEmiRNAs, and 74 DEmRNAs were included in the ceRNA regulatory network. GO enrichment analysis and KEGG pathway enrichment indicated that the DEmRNAs were mainly related to the regulation of phospholipase C activity and the MAPK signaling pathway. Survival analysis showed that 9 of 107 DElncRNAs were correlated with prognosis (P<0.05). Univariate and multivariate Cox analysis identified 4 DElncRNAs (HNF1A-AS1, TPTEP1, SNHG6, and ZNF503-AS2) to establish a predictive model and can be used as independent prognostic biomarkers. CONCLUSIONS We constructed a ceRNA network that reveals potential lncRNA biomarkers for pediatric RTK.

Indexed as

Kaplan-Meier EstimateKidney NeoplasmsRhabdoid TumorBiomarkers, TumorChildDatabases, GeneticHumansPrognosisProportional Hazards ModelsRepressor ProteinsRNA, Long NoncodingBiomarkers, Tumorlong non-coding RNA HNF1A-AS1, humanlong non-coding RNA SNHG6, humanRepressor ProteinsRNA, Long Noncoding

Identifiers

PMID33328429
PMCPMC7754694
OpenAlexW3115602362

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.