Evidence map›Paper›PMID 33564912›Full record

ArticleWorld journal of urology2021

Identification of key genes in benign prostatic hyperplasia using bioinformatics analysis.

Peng Xiang, Dan Liu, Di Guan, Zhen Du, Yongxiu Hao, Wei Yan, Mingdong Wang, Hao Ping

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Article in World journal of urology, 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
–field-weighted citation impact
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

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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.

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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.

Peng XiangDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China.
Dan LiuDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China.
Di GuanDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China.
Zhen DuDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China.
Yongxiu HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Wei YanDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China.
Mingdong WangDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China.
Hao PingDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, No1. Dongjiaomingxiang Street, Dongcheng District, Beijing, 100730, China. haopingcyh@163.com.ORCID http://orcid.org/0000-0002-0321-7921

Funding

National Natural Science Foundation of China 81772698Open Research Fund from Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing Tongren Hospital, Beihang University & Capital Medical University BHTR-KFJJ-202005
6 · The paper itself

Abstract

purposeThis study aimed to identify differentially expressed genes (DEGs) and pathways in benign prostatic hyperplasia (BPH) by comprehensive bioinformatics analysis.

methodsData of the gene expression microarray (GSE6099) were downloaded from GEO database. DEGs were obtained by GEO2R. Functional and enrichment analyses of selected genes were performed using DAVID database. Protein-protein interaction network was constructed through STRING. Anterior gradient 2 (ARG2) and lumican (LUM) staining in paraffin-embedded specimens from BPH and normal prostate (NP) were detected by immunohistochemistry (IHC). Differences between groups were analyzed by the Student's t test.

resultsA total of 24 epithelial DEGs and 39 stromal DEGs were determined. The GO analysis results showed that epithelial DEGs between BPH and NP were enriched in biological processes of glucose metabolic process, glucose homeostasis and negative regulation of Rho protein signal transduction. For DEGs in stroma, enriched biological processes included response to ischemia, antigen processing and presentation, cartilage development, T cell costimulation and energy reserve metabolic process. ARG2, as one of the epithelial DEGs, was mainly located in epithelial cells of prostate. In addition, LUM is primarily expressed in the stroma. We further confirmed that compared with NP, the BPH have the lower ARG2 protein level (p = 0.029) and higher LUM protein level (p = 0.003) using IHC.

conclusionsOur study indicated that there are possible differentially expressed genes in epithelial and stromal cells, such as ARG2 and LUM, which may provide a novel insight for the pathogenesis of BPH.

Indexed as

Computational BiologyHumansMaleProstatic HyperplasiaBenign prostatic hyperplasiaBioinformatics analysisEpithelial and stromal cellsKey genes

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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 Socratic graph.