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Research and Clinical Significance of the Differentially Expressed Genes TP63 and LMO4 in Human Immunodeficiency Virus-Related Penile Squamous Cell Carcinoma

Bibliographic Data

ID21748719
AuthorsWenrui Xue (0000-0001-7289-9500, Capital Medical University), Xin Zheng (0000-0001-9176-8856, Capital Medical University), Xiaopeng Hu (0000-0002-1630-109X, Capital Medical University), Yu Zhang (0000-0002-0059-270X, Capital Medical University, corresponding author)
Year2021
Volume15
Issue2
Pages15579883211011380-15579883211011380
Publication date2021-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Men s Health (JOURNAL)
Journal identifiersISSN: 1557-9883 • E-ISSN: 1557-9891
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/15579883211011380
PMID33906487
OpenAlexW3133700570
LanguageEN
References cited37

To study the differential gene expression and clinical significance in human immunodeficiency virus-infected individuals (HIVIIs) with penile squamous cell carcinoma. At our hospital from 2019 to 2020, we selected six samples of HIV-related penile squamous cell carcinoma for the experimental group and six samples of non-HIV-related penile squamous cell carcinoma for the control group. Transcriptome sequencing of sample mRNAs was performed by high-throughput sequencing. Differential gene expression analysis, differential Gene Ontology (GO) enrichment analysis and differential Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were carried out, and the reads per kilobase per million reads (RPKM) value was used as a measure of gene expression. A total of 2418 differentially expressed genes were obtained, of which 663 were upregulated and 1755 were downregulated (absolute value of logFC >1 and p value

Biology · Cell cycle · Downregulation and upregulation · Fold change · Gene · Gene expression · Gene expression profiling · KEGG · Transcriptome · Genital Health and Disease · Urologic and reproductive health conditions · Urological Disorders and Treatments · Cancer Research · Genetics

  • Systematic and integrative analysis of large gene lists using David bioinformatics resources

    Open Access•Da Wei Huang, Brad T Sherman et al.•Nature Protocols•2009

Citation velocityhistorical
Highly citedNo
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