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In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs.
Altuna-Coy, Antonio; Ruiz-Plazas, Xavier; Arreaza-Gil, Verónica; Segarra-Tomás, José; Chacón, Matilde R.
Afiliação
  • Altuna-Coy A; Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain.
  • Ruiz-Plazas X; Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain.
  • Arreaza-Gil V; Urology Unit, Joan XXIII University Hospital, Tarragona, Spain.
  • Segarra-Tomás J; Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain.
  • Chacón MR; Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain.
Cancer Cell Int ; 23(1): 275, 2023 Nov 17.
Article em En | MEDLINE | ID: mdl-37978493
ABSTRACT

BACKGROUND:

Cancer-secreted exovesicles are important for cell-to-cell communication by altering cancer-related signalling pathways. Exovesicles-derived miRNAs (exomiRNAs)-target genes can be useful for diagnostic and prognostic purposes.

METHODS:

ExomiRNA from prostate cancer (PCa) cells (PC-3 and LNCaP) were quantified by qRT-PCR and compared to the healthy cell line RWPE-1 by using miRNome PCR 752 miRNAs Panel. MiRNet database was used to predict exomiRNA-target genes. ExomiRNA-target genes pathway functional enrichment was performed by using Reactome database and Enrichr platform. Protein-protein interaction analysis was carried out by using the STRING database. RNA target-gene sequencing data from The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) database was screened out in 465 PCa patients for candidate gene expression in prostate tumour (PT) tissue and non-pathologic prostate (N-PP) tissue. Signature gene candidates were statistically analysed for diagnosis and prognosis usefulness.

RESULTS:

A total of 36 exomiRNAs were found downregulated when comparing PCa cells vs a healthy cell line; and when comparing PC-3 vs LNCaP, 14 miRNAs were found downregulated and 52 upregulated. Reactome pathway database revealed altered pathways and genes related to miRNA biosynthesis, miRNA-mediated gene silencing (TNRC6B and AGO1), and cell proliferation (CDK6), among others. Results showed that TNRC6B gene expression was up-regulated in PT tissue compared to N-PP (n = 52 paired samples) and could be useful for diagnostic purposes. Likewise, gene expression levels of CDK6, TNRC6B, and AGO1 were down-regulated in high-risk PT (n = 293) compared to low-risk PCa tissue counterparts (n = 172). When gene expression levels of CDK6, TNRC6B, and AGO1 were tested as a prognostic panel, the results showed that these improve the prognostic power of classical biomarkers.

CONCLUSION:

ExomiRNAs-targets genes, TNRC6B, CDK6, and AGO1, showed a deregulated expression profile in PCa tissue and could be useful for PCa diagnosis and prognosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cancer Cell Int Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cancer Cell Int Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Espanha