Evidence map›Paper›PMID 32821124›Full record

ArticleOncoTargets and therapy2020

Identification of Critical Pathways and Hub Genes in LanCL1-Overexpressed Prostate Cancer Cells.

Run Tang, Zeming Wu, Feng Lu, Cheng Wang, Bo Wu, Jianqing Wang, Yingxiang Zhu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in OncoTargets and therapy, 2020. 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
0.1field-weighted citation impact, top 55% 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, 2 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

7 authors at 2 institutions in 1 country.

Run Tang *Department of Urology, The People's Hospital of Suzhou New District, Suzhou, Jiangsu, People's Republic of China.
Zeming Wu *Department of Urology, The People's Hospital of Suzhou New District, Suzhou, Jiangsu, People's Republic of China.
Feng LuDepartment of Urology, The People's Hospital of Suzhou New District, Suzhou, Jiangsu, People's Republic of China.
Cheng WangDepartment of Urology, The People's Hospital of Suzhou New District, Suzhou, Jiangsu, People's Republic of China.
Bo WuDepartment of Urology, The People's Hospital of Suzhou New District, Suzhou, Jiangsu, People's Republic of China.
Jianqing WangDepartment of Urology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, People's Republic of China.ORCID 0000-0002-0709-9694
Yingxiang ZhuDepartment of Urology, The People's Hospital of Suzhou New District, Suzhou, Jiangsu, People's Republic of China.
The Fifth People’s Hospital of Suzhou · CNSuzhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer is one of the most common malignancies in urology, especially in developed countries. Our previous studies showed that Lanthionine synthase C-like protein 1 ( MATERIALS AND

methodsIn our study, we analyzed the data of RNA-seq to identify the DEGs after

resultsA total of 8928 DEGs were identified. Through the analysis of GO and KEGG, we found that DEGs are significantly enriched in categories related to metabolism, cancer-related signaling pathways, and inflammation. The top 15 hub genes were then identified and ranked by degree from the protein-protein interaction network. Survival analysis showed 4 hub genes related to disease prognosis and

conclusionOur results suggest the critical genes and pathways that might play key roles after

Indexed as

LanCL1prostate cancerRNA sequencing

Identifiers

PMID32821124
PMCPMC7423411
OpenAlexW3046583388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.