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Dataset Information

Construction of miRNA-mRNA network and a nomogram model of prognostic analysis for prostate cancer.


ABSTRACT:

Background

Dysregulated genetic factors correlate with carcinoma progression. However, the hub miRNAs-mRNAs related to biochemical recurrence in prostate cancer remain unclear. We aim to identify potential miRNA-mRNA regulatory network and hub genes in prostate cancer.

Methods

Datasets of gene expression microarray were downloaded from Gene Expression Omnibus (GEO) database for Robust Rank Aggregation (RRA), targeted gene prediction, gene function and signal pathway enrichment analyses, miRNA-mRNA regulatory network construction, core network screening, as well as validation and survival analysis were carried out by using exogenous data.

Results

Prostate cancer-related differentially expressed genes were mostly related to actin filament regulation. Moreover, the cGMP-

SUBMITTER: Su Q 

PROVIDER: S-EPMC9459648 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature