Article

Identification of miRNAs biomarkers for prostate cancer in serum and tissue based on bioinformatic analysis and experimental validation

2023-11-21

Abstract excerpt

<h4>Purpose: </h4> The aim of our research is to identify the key miRNAs and construct miRNA-mRNA networks for Prostate cancer (PCa). Methods Microarray dataset GSE112264 consisting of 1591 male serum samples and tissue miRNA data from TCGA including 497 prostate cancer and 52 normal sample were included for analysis. Differentially expressed miRNAs (DE-miRNAs) were detected by R package and miRTarBase was used t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dc8b41f4-cf34-5030-9e59-479fa9e37bb7
DOI: 10.21203/rs.3.rs-3626738/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of miRNAs biomarkers for prostate cancer in serum and tissue based on bioinformatic analysis and experimental validationDOI 10.21203/rs.3.rs-3626738/v1Read

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

Non-Coding RNA Biomarkers in Prostate Cancer: Evidence Mapping and in Silico CharacterizationSemantic proximity Read

Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancerSemantic proximity Read

Identification of Potential Key Genes in Prostate Cancer with Gene Expression, Pivotal Pathways and Regulatory Networks Analysis Using Integrated Bioinformatics MethodsSemantic proximity Read

Identification of the Key MicroRNAs and the miRNA-mRNA Regulatory Pathways in Prostate Cancer by Bioinformatics MethodsSemantic proximity Read

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

Identification of key DNA methylation-driven genes in prostate adenocarcinoma: an integrative analysis of TCGA methylation dataSemantic proximity Read

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

Combined analysis and validation for DNA methylation and gene expression profiles associated with prostate cancerSemantic proximity Read

Identification of castration‐resistant prostate cancer‐related hub genes using weighted gene co‐expression network analysisSemantic proximity Read

Integrative Analysis of four miRNA prognostic signatures of prostate cancerSemantic proximity Read

miR-455-3p in peripheral blood is a potentially superior diagnostic marker for prostate cancer to PSASemantic proximity Read