Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysis

25 Feb 2021

Abstract excerpt

BACKGROUND: The aim of this study was to identify novel genes in promoting primary prostate cancer (PCa) progression and to explore its role in the prognosis of prostate cancer. METHODS: Four microarray datasets containing primary prostate cancer samples and benign prostate samples were downloaded from Gene Expression Omnibus (GEO), then differentially expressed genes (DEGs) were identified by R software (version...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Hippo pathway signaling and YAP/TAZ
Share to Microtubule and mitosis dynamics
Share to Prostate Cancer Treatment and Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33630978
DOI: 10.1371/journal.pone.0247827

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysisPMID 33630978Read ↗

Bioinformatics analysis identified hub genes in prostate cancer tumorigenesis and metastasisSemantic proximity Read ↗

Comprehensive Analysis of Hub Genes In Prostate CancerSemantic proximity Read ↗

The Identification of Potential Biomarkers and Biological Pathways in Prostate CancerSemantic proximity Read ↗

Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysisSemantic proximity Read ↗

Identification of the hub genes associated with prostate cancer tumorigenesisSemantic proximity Read ↗

Identification of a Ubiquitin Related Genes Signature for Predicting Prognosis of Prostate CancerSemantic proximity Read ↗

Candidate biomarkers for diagnosis and prognosis of prostate cancer based on bioinformatics methodsSemantic proximity Read ↗

Identification of Hub Gene and Potential Drugs for Enzalutamide Resistant Castration-Resistant Prostate Cancer Depend On Bioinformatics AnalysisSemantic proximity Read ↗

CDK6 is upregulated and may be a potential therapeutic target in enzalutamide-resistant castration- resistant prostate cancer by bioinformatic analysisSemantic proximity Read ↗

Identification of Hub Genes Associated With Progression and Prognosis in Patients With Bladder CancerSemantic proximity Read ↗

Identification of hub genes predicting the development of prostate cancer from benign prostate hyperplasia and analyzing their clinical value in prostate cancer by bioinformatic analysisSemantic proximity Read ↗

Identification of core genes associated with prostate cancer progression and outcome via bioinformatics analysis in multiple databasesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.