Evidence map›Paper›PMID 33987019›Full record

ArticlePeerJ2021

Identification of potential genes in upper tract urothelial carcinoma using next-generation sequencing with bioinformatics and in vitro analyses.

Hsiang-Ying Lee, Ching-Chia Li, Wei-Ming Li, Ya-Ling Hsu, Hsin-Chih Yeh, Hung-Lung Ke, Bi Wen Yeh, Chun-Nung Huang, Chien-Feng Li, Po-Lin Kuo and 1 more

Open access · goldAbstract read
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Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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 5 institutions in 1 country.

Hsiang-Ying LeeGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ching-Chia LiDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Wei-Ming LiDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Ya-Ling HsuGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Hsin-Chih YehDepartment of Urology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.
Hung-Lung KeDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Bi Wen YehDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Chun-Nung HuangDepartment of Urology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.
Chien-Feng LiDepartment of Pathology, Chi Mei Medical Center, Tainan, Taiwan.
Po-Lin KuoGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Wen-Jeng WuDepartment of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Kaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWChi Mei Medical Center · TWNational Sun Yat-sen University · TWPingtung Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to identify prognostic biomarkers of upper tract urothelial carcinomas (UTUCs), including microRNAs (miRNAs) and genes which account for only 5% to 10% of all urothelial carcinomas (UCs). In Taiwan, this figure is markedly higher, where it can reach up to 30% of UC cases. MATERIALS AND

methodsUsing next-generation sequencing (NGS), we analyzed two pairs of renal pelvis tumors and adjacent normal urothelial tissues to screen miRNAs and messenger RNAs. By combining bioinformatics analysis from miRmap, Gene Expression Omnibus (GEO), and Oncomine and Ingenuity

resultsInteractions between selected target genes obtained using the NGS and miRmap methods were assessed through a Venn diagram analysis. Six potential genes, namely, PDE5A, RECK, ZEB2, NCALD, PLCXD3 and CYBRD1 showed significant differences. Further analysis of gene expression from the GEO dataset indicated lower expression of PDE5A, RECK, ZEB2, and CYBRD1 in bladder cancer tissue than in normal bladder mucosa, which indicated that PDE5A, RECK, ZEB2, and CYBRD1 may act as tumor suppressors in UTUC. In addition, we compared the expression of these genes in various UC cell lines (RT4, BFTC905, J82, T24, UMUC3, 5637, BFTC 909, UMUC14) and found decreased expression of PDE5A in muscle-invasive UC cells compared with the RT4 cell line. Furthermore, by using paired UTUC and normal tissues from 20 patients, lower PDE5A expression was also demonstrated in tumor specimens.

conclusionsOur findings suggest these candidate genes may play some roles in UTUC progression. We propose that these markers may be potential targets clarified by in vitro and in vivo experiments. PDE5A also potentially presents tumor suppressor genes, as identified by comparing the expression between normal and tumor specimens.

Indexed as

BioinformaticsNext-generation sequencingPDE5ATarget genesUpper tract urothelial carcinoma

Identifiers

PMID33987019
PMCPMC8086570
OpenAlexW3158521447

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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.