Evidence map›Paper›PMID 35082515›Full record

ArticleInternational journal of general medicine2022

Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics.

Chunlei Zhang, Weijun Zhang, Han Cui, Bin Zhang, Pengcheng Miao, Qi Yang, Mei Bai, Hongmei Jiao, Dehui Chang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  8. High expression of theAnnals of translational medicine · 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

9 authors at 2 institutions in 1 country.

Chunlei Zhang *Department of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.ORCID 0000-0003-1833-436X
Weijun Zhang *Department of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Han Cui *Department of the First Clinic, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Bin Zhang *Department of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Pengcheng MiaoDepartment of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Qi YangDepartment of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Mei BaiDepartment of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Hongmei JiaoDepartment of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
Dehui ChangDepartment of Urology, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, 730050, People's Republic of China.
People's Liberation Army 401 Hospital · CNFirst Hospital of Lanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTesticular cancer severely affects male health, so finding effective diagnosis and prognostic indicators and exploring its pathogenesis are very important. PURPOSE: This study aims to explore the hub genes that play important roles in the occurrence and development of testicular germ cell tumor (TGCT).

methodsData were obtained from Gene Expression Omnibus datasets (GSE3218 and GSE1818) and verified in The Cancer Genome Atlas database and the Genotype-Tissue Expression database and the Human Protein Atlas database. A protein-protein interaction network was constructed to obtain hub genes. GEO2R, R software and packages were used to analyze differentially expressed genes (DEGs), receiver operating characteristic curve assessment, Cox regression analysis, Kaplan-Meier survival curve assessment, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes analysis, the relationship with clinicopathological information, gene set enrichment analysis, the correlation with immune cells' infiltration, and the expression in pan-cancers of the hub genes.

results

conclusionThe mRNA levels of multiple hub genes have high diagnostic and prognostic values for TGCT.

Indexed as

biomarkerdiagnosishub geneimmune infiltrationmRNAprognosissignal pathwaytesticular cancer

Identifiers

PMID35082515
PMCPMC8785138
OpenAlexW4206655951

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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.