Evidence map›Paper›PMID 31827401›Full record

ArticleCancer cell international2019

Identification and analysis of long non-coding RNA related miRNA sponge regulatory network in bladder urothelial carcinoma.

Jiawu Wang, Chengyao Zhang, Yan Wu, Weiyang He, Xin Gou

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  12. Dual-specificity phosphatases: therapeutic targets in cancer therapy resistance.Journal of cancer research and clinical oncology · 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

5 authors at 3 institutions in 1 country.

Jiawu Wang1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.
Chengyao Zhang2Department of Head and Neck Cancer Center, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Shapingba District, Chongqing, China.
Yan Wu3Department of General Surgery, University-Town Hospital of Chongqing Medical University, Shapingba District, Chongqing, China.
Weiyang He1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.
Xin Gou1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.ORCID 0000-0001-5707-0753
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the regulatory network of lncRNAs as competing endogenous RNAs (ceRNA) in bladder urothelial carcinoma (BUC) based on gene expression data derived from The Cancer Genome Atlas (TCGA). MATERIALS AND

methodsRNA sequence profiles and clinical information from 414 BUC tissues and 19 non-tumor adjacent tissues were downloaded from TCGA. Differentially expressed RNAs derived from BUC and non-tumor adjacent samples were identified using the R package "edgeR". Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using the "clusterProfiler" package. Gene ontology and protein-protein interaction (PPI) networks were analyzed for the differentially expressed mRNAs using the "STRING" database. The network for the dysregulated lncRNA associated ceRNAs was then constructed for BUC using miRcode, miRTarBase, miRDB, and TargetScan. Cox regression analysis was performed to identify independent prognostic RNAs associated with BUC overall survival (OS). Survival analysis for the independent prognostic RNAs within the ceRNA network was calculated using Kaplan-Meier curves.

resultsBased on our analysis, a total of 666, 1819 and 157 differentially expressed lncRNAs, mRNAs and miRNAs were identified respectively. The ceRNA network was then constructed and contained 59 lncRNAs, 23 DEmiRNAs, and 52 DEmRNAs. In total, 5 lncRNAs (HCG22, ADAMTS9-AS1, ADAMTS9-AS2, AC078778.1, and AC112721.1), 2 miRNAs (hsa-mir-145 and hsa-mir-141) and 6 mRNAs (ZEB1, TMEM100, MAP1B, DUSP2, JUN, and AIFM3) were found to be related to OS. Two lncRNAs (ADAMTS9-AS1 and ADAMTS9-AS2) and 4 mRNA (DUSP2, JUN, MAP1B, and TMEM100) were validated using GEPIA. Thirty key hub genes were identified using the ranking method of degree. KEGG analysis demonstrated that the majority of the DEmRNAs were involved in pathways associated with cancer.

conclusionOur findings provide an understanding of the important role of lncRNA-related ceRNAs in BUC. Additional experimental and clinical validations are required to support our findings.

Indexed as

BUCCarcinogenesisceRNAlncRNAmiRNAmRNAPrognosis

Identifiers

PMID31827401
PMCPMC6892182
OpenAlexW2992203678

What OpenQuestion holds

Textmetadata
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.