Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
Cancer Biomark ; 22(2): 199-207, 2018.
Article in English | MEDLINE | ID: mdl-29689704

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. 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. 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). 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.


Subject(s)
Biomarkers, Tumor , Circulating MicroRNA , Liposarcoma/diagnosis , Liposarcoma/genetics , MicroRNAs/genetics , Aged , Aged, 80 and over , Case-Control Studies , Cluster Analysis , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Humans , Liposarcoma/blood , Male , MicroRNAs/blood , Middle Aged , Neoplasm Grading , Reproducibility of Results
SELECTION OF CITATIONS
SEARCH DETAIL