Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Differentiating liposarcoma from lipoma using a simple blood test: A miRNA signature


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 liposarcoma patients from healthy controls and lipoma patients. Workflow: 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-4668-5p and miR-3613-3p) 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-4668-5p was further validated by qRT-PCR to be significantly upregulated in liposarcoma patients compared to an independent cohort of healthy controls (n=3) and lipoma patients (n=6). Conclusion: We identified a specific whole blood miRNA (miR-4668-5p) that may serve to distinguish between lipoma and liosarcoma patients, thus potentially serving as a specific biomarker for dedifferentiated liposarcoma.

INSTRUMENT(S): none

ORGANISM(S): Homo sapiens

SUBMITTER: Dietmar Pfeifer 

PROVIDER: E-MTAB-5126 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2017-10-18 | E-GEOD-105052 | biostudies-arrayexpress
2023-09-24 | GSE218599 | GEO
2022-04-27 | GSE173461 | GEO
2008-11-22 | E-GEOD-6481 | biostudies-arrayexpress
2015-12-20 | E-GEOD-59418 | biostudies-arrayexpress
2018-06-30 | GSE101811 | GEO
2020-09-18 | PXD020795 | Pride
2015-12-20 | GSE59418 | GEO
2017-08-23 | GSE67597 | GEO
2021-02-10 | GSE150867 | GEO