A microRNA signature for the differential diagnosis of salivary gland tumors.
Adenocarcinoma
/ diagnosis
Adenoma, Pleomorphic
/ diagnosis
Adult
Aged
Aged, 80 and over
Biomarkers, Tumor
/ genetics
Carcinoma, Acinar Cell
/ diagnosis
Carcinoma, Adenoid Cystic
/ diagnosis
Carcinoma, Ductal
/ diagnosis
Carcinoma, Mucoepidermoid
/ diagnosis
Cluster Analysis
Cystadenocarcinoma
/ diagnosis
Diagnosis, Differential
Female
Genetic Markers
Humans
Male
MicroRNAs
/ genetics
Middle Aged
RNA, Neoplasm
/ genetics
Salivary Gland Neoplasms
/ diagnosis
Transcriptome
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2019
2019
Historique:
received:
26
06
2018
accepted:
04
01
2019
entrez:
26
1
2019
pubmed:
27
1
2019
medline:
2
11
2019
Statut:
epublish
Résumé
Salivary gland tumors (SGTs) are rare tumors of the head and neck with different clinical behavior. Preoperative diagnosis, based on instrumental and cytologic examinations, is crucial for their correct management. The identification of molecular markers might improve the accuracy of pre-surgical diagnosis helping to plan the proper treatment especially when a definitive diagnosis based only on cytomorphology cannot be achieved. miRNAs appear to be new promising biomarkers in the diagnosis and prognosis of cancer. Studies concerning the useful of miRNA expression in clinical decision-making regarding SGTs remain limited and controversial.The expression of a panel of 798 miRNAs was investigated using Nanostring technology in 14 patients with malignant SGTs (6 mucoepidermoid carcinomas, 4 adenoid cystic carcinomas, 1 acinic cell carcinoma, 1 ductal carcinoma, 1 cystadenocarcinoma and 1 adenocarcinoma) and in 10 patients with benign SGTs (pleomorphic adenomas). The DNA Intelligent Analysis (DIANA)-miRPath v3.0 software was used to determinate the miRNA regulatory roles and to identify the controlled significant Kyoto Encyclopedia of Genes and Genomes (KEGG) molecular pathways. Forty six miRNAs were differentially expressed (False Discovery Rate-FDR<0.05) between malignant and benign SGTs. DIANA miRPath software revealed enriched pathways involved in cancer processes as well as tumorigenesis, cell proliferation, cell growth and survival, tumor suppressor expression, angiogenesis and tumor progression. Interestingly, clustering analysis showed that this signature of 46 miRNAs is able to differentiate the two analyzed groups. We found a correlation between histological diagnosis (benign or malignant) and miRNA expression profile.The molecular signature identified in this study might become an important preoperative diagnostic tool.
Identifiants
pubmed: 30682201
doi: 10.1371/journal.pone.0210968
pii: PONE-D-18-19066
pmc: PMC6347363
doi:
Substances chimiques
Biomarkers, Tumor
0
Genetic Markers
0
MicroRNAs
0
RNA, Neoplasm
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0210968Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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