Network Analysis Integrating microRNA Expression Profiling with MRI Biomarkers and Clinical Data for Prostate Cancer Early Detection: A Proof of Concept Study.
MR directed biopsy
magnetic resonance imaging
microRNA
network analysis
prostate cancer
Journal
Biomedicines
ISSN: 2227-9059
Titre abrégé: Biomedicines
Pays: Switzerland
ID NLM: 101691304
Informations de publication
Date de publication:
14 Oct 2021
14 Oct 2021
Historique:
received:
09
09
2021
revised:
30
09
2021
accepted:
11
10
2021
entrez:
23
10
2021
pubmed:
24
10
2021
medline:
24
10
2021
Statut:
epublish
Résumé
The MRI of the prostate is the gold standard for the detection of clinically significant prostate cancer (csPCa). Nonetheless, MRI still misses around 11% of clinically significant disease. The aim was to comprehensively integrate tissue and circulating microRNA profiling, MRI biomarkers and clinical data to implement PCa early detection. In this prospective cohort study, 76 biopsy naïve patients underwent MRI and MRI directed biopsy. A sentinel sample of 15 patients was selected for a pilot molecular analysis. Weighted gene coexpression network analysis was applied to identify the microRNAs drivers of csPCa. MicroRNA-target gene interaction maps were constructed, and enrichment analysis performed. The ANOVA on ranks test and ROC analysis were performed for statistics. Disease status was associated with the underexpression of the miRNA profiled; a correlation was found with ADC (r = -0.51,
Identifiants
pubmed: 34680592
pii: biomedicines9101470
doi: 10.3390/biomedicines9101470
pmc: PMC8533640
pii:
doi:
Types de publication
Journal Article
Langues
eng
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