In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer

Autor: Claudia Cava 1, Gloria Bertoli 1, Antonio Colaprico 2, 3, Gianluca Bontempi 2, Giancarlo Mauri 4, 5, Isabella Castiglioni 1
Přispěvatelé: Cava, C, Bertoli, G, Colaprico, A, Bontempi, G, Mauri, G, Castiglioni, I
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Male
Co-expressed gene
Gene regulatory network
Informatique appliquée logiciel
Disease
lcsh:Chemistry
Prostate cancer
Physico-chimie générale
0302 clinical medicine
Gene Regulatory Networks
lcsh:QH301-705.5
Spectroscopy
prostate cancer
microRNA/miRNA
copy number alterations
co-expressed genes
INF/01 - INFORMATICA
General Medicine
Middle Aged
3. Good health
Computer Science Applications
Up-Regulation
Gene Expression Regulation
Neoplastic
030220 oncology & carcinogenesis
Area Under Curve
Adult
copy number alteration
DNA Copy Number Variations
In silico
Down-Regulation
Computational biology
Biology
Chimie inorganique
Catalysis
Article
Inorganic Chemistry
03 medical and health sciences
Downregulation and upregulation
microRNA
medicine
Humans
Computer Simulation
Neoplasm Invasiveness
Spectroscopie [état condense]
Physical and Theoretical Chemistry
Molecular Biology
Gene
Aged
Gene Expression Profiling
Organic Chemistry
Biologie moléculaire
Prostatic Neoplasms
Chimie théorique
Co-expressed genes
medicine.disease
Gene expression profiling
Chimie organique
MicroRNAs
030104 developmental biology
Spectroscopie [électromagnétisme
optique
acoustique]
lcsh:Biology (General)
lcsh:QD1-999
Copy number alterations
Catalyses hétérogène et homogène
Zdroj: International Journal of Molecular Sciences, Vol 19, Iss 3, p 910 (2018)
International journal of molecular sciences (Online) 19 (2018): 910. doi:10.3390/ijms19030910
info:cnr-pdr/source/autori:Claudia Cava 1, Gloria Bertoli 1, Antonio Colaprico 2,3, Gianluca Bontempi 2,3, Giancarlo Mauri 4,5 and Isabella Castiglioni 1/titolo:In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer./doi:10.3390%2Fijms19030910/rivista:International journal of molecular sciences (Online)/anno:2018/pagina_da:910/pagina_a:/intervallo_pagine:910/volume:19
International Journal of Molecular Sciences; Volume 19; Issue 3; Pages: 910
International Journal of Molecular Sciences
International journal of molecular sciences, 19 (3
DOI: 10.3390/ijms19030910
Popis: Like other cancer diseases, prostate cancer (PC) is caused by the accumulation of genetic alterations in the cells that drives malignant growth. These alterations are revealed by gene profiling and copy number alteration (CNA) analysis. Moreover, recent evidence suggests that also microRNAs have an important role in PC development. Despite efforts to profile PC, the alterations (gene, CNA, and miRNA) and biological processes that correlate with disease development and progression remain partially elusive. Many gene signatures proposed as diagnostic or prognostic tools in cancer poorly overlap. The identification of co-expressed genes, that are functionally related, can identify a core network of genes associated with PC with a better reproducibility. By combining different approaches, including the integration of mRNA expression profiles, CNAs, and miRNA expression levels, we identified a gene signature of four genes overlapping with other published gene signatures and able to distinguish, in silico, high Gleason-scored PC from normal human tissue, which was further enriched to 19 genes by gene co-expression analysis. From the analysis of miRNAs possibly regulating this network, we found that hsa-miR-153 was highly connected to the genes in the network. Our results identify a four-gene signature with diagnostic and prognostic value in PC and suggest an interesting gene network that could play a key regulatory role in PC development and progression. Furthermore, hsa-miR-153, controlling this network, could be a potential biomarker for theranostics in high Gleason-scored PC.
SCOPUS: ar.j
info:eu-repo/semantics/published
Databáze: OpenAIRE
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