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Whole blood miRNA expression analysis reveals miR-3613-3p as a potential biomarker for dedifferentiated liposarcoma.

Authors :
Fricke A
Cimniak AFV
Ullrich PV
Becherer C
Bickert C
Pfeifer D
Heinz J
Stark GB
Bannasch H
Braig D
Eisenhardt SU
Source :
Cancer biomarkers : section A of Disease markers [Cancer Biomark] 2018; Vol. 22 (2), pp. 199-207.
Publication Year :
2018

Abstract

Background: Liposarcoma constitute about 13% of all soft tissue sarcoma and are associated with a high risk of metastases. As the preoperative differentiation between benign and malign lipomatous tumors is restricted to magnetic resonance imaging, computed tomography and biopsy, we performed a miRNA array to distinguish dedifferentiated liposarcoma patients from healthy controls and lipoma patients.<br />Methods: Blood samples of patients with dedifferentiated liposarcoma, healthy controls and lipoma patients were collected. Whole blood RNA was extracted and samples of patients with dedifferentiated liposarcoma (n= 6) and of healthy donors (n= 4) were analyzed using an Affymetrix GeneChip miRNA Array v. 4.0. qRT-PCR was carried out to confirm the most differentially expressed miRNA; being further analyzed in an independent cohort of healthy controls as well as in lipoma patients.<br />Results: As shown by the microarray, two miRNAs (miR-3613-3p, miR-4668-5p) were shown to be significantly upregulated (fold change: > 2.5; p< 0.05) in patients with dedifferentiated liposarcoma (n= 6) as compared to healthy controls (n= 4). miR-3613-3p was further validated by qRT-PCR to be significantly upregulated in dedifferentiated liposarcoma patients compared to an independent cohort of healthy controls (n= 3) and lipoma patients (n= 5).<br />Conclusion: We identified a specific whole blood miRNA (miR-3613-3p) that may serve to distinguish between dedifferentiated liposarcoma patients and healthy controls, thus potentially serving as a specific biomarker for dedifferentiated liposarcoma.

Details

Language :
English
ISSN :
1875-8592
Volume :
22
Issue :
2
Database :
MEDLINE
Journal :
Cancer biomarkers : section A of Disease markers
Publication Type :
Academic Journal
Accession number :
29689704
Full Text :
https://doi.org/10.3233/CBM-170496