Evidence map›Paper›PMID 36980995›Full record

ArticleGenes2023

Identification of Key Differentially Expressed mRNAs, miRNAs, lncRNAs, and circRNAs for Xp11 Translocation Renal Cell Carcinoma (RCC) Based on Whole-Transcriptome Sequencing.

Changqi Deng, Chengcheng Wei, Yaxin Hou, Ming Xiong, Dong Ni, Yu Huang, Miao Wang, Xiong Yang, Ke Chen, Zhaohui Chen

Open access · goldFull text read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Changqi DengDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Chengcheng WeiDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.ORCID 0000-0002-6634-0572
Yaxin HouDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Ming XiongDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Dong NiDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Yu HuangDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Miao WangDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Xiong YangDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.ORCID 0000-0002-1816-4818
Ke ChenDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Zhaohui ChenDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Union Hospital · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We carried out whole transcriptome sequencing (WTS) on the tumor and the matching adjacent normal tissues from five patients having Xp11 translocation renal cell carcinoma (RCC). This was performed in terms of obtaining more understanding of the genomic panorama and molecular basis of this cancer. To examine gene-regulatory networks in XP11 translocation RCC, variance expression analysis was carried out, followed by functional enrichment analysis. Gene Expression Omnibus (GEO) of Xp11 translocation RCC data was used to validate the results. As per inclusion criteria, a total of 1886 differentially expressed mRNAs (DEmRNAs), 56 differentially expressed miRNAs (DEmiRNAs), 223 differentially expressed lncRNAs (DElncRNAs), and 1764 differentially expressed circRNAs (DEcircRNAs) were found. KEGG enrichment study of DEmiRNA, DElncRNA, and DEcircRNA target genes identified the function of protein processing in the endoplasmic reticulum, lysosome, and neutrophil-mediated immunity. Three subnetwork modules integrated from the PPI network also revealed the genes involved in protein processing in the endoplasmic reticulum, lysosome, and protein degradation processes, which may regulate the Xp11 translocation RCC process. The ceRNA complex network was created by Cytoscape, which included three upregulated circRNAs, five upregulated lncRNAs, 24 upregulated mRNAs, and two downregulated miRNAs (hsa-let-7d-5p and hsa-miR-433-3p). The genes as a prominent component of the complex ceRNA network may be key factors in the pathogenesis of Xp11 translocation RCC. Our findings clarified the genomic and transcriptional complexity of Xp11 translocation RCC while also pointing to possible new targets for Xp11 translocation RCC characterization.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMicroRNAsRNA, Long NoncodingExome SequencingGene Expression Regulation, NeoplasticHumansRNA, CircularRNA, MessengerTranscriptomeMicroRNAsMIRN433 microRNA, humanRNA, CircularRNA, Long NoncodingRNA, MessengerbioinformaticsceRNARCCwhole-transcriptome sequencing

Identifiers

PMID36980995
PMCPMC10047933
OpenAlexW4327599824

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read9
table measurements read7
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 Socratic graph.