» Articles » PMID: 18589210

MicroRNA Signatures of Tumor-derived Exosomes As Diagnostic Biomarkers of Ovarian Cancer

Overview
Journal Gynecol Oncol
Date 2008 Jul 1
PMID 18589210
Citations 1172
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Most ovarian cancer patients are diagnosed at an advanced stage (67%) and prospects for significant improvement in survival reside in early diagnosis. While expression patterns of a recently identified biomarker family, microRNA, appear to be characteristic of tumor type and developmental origin, microRNA profiling has been limited to tissue specimens. Tumors actively release exosomes into the peripheral circulation and we now demonstrate the association of microRNAs with circulating tumor-derived exosomes.

Methods: Circulating tumor exosomes were isolated using a modified MACS procedure with anti-EpCAM. Initially, microRNA profiles of ovarian tumors were compared to those of tumor exosomes isolated from the same patients. Levels of 8 microRNAs (miR-21, miR-141, miR-200a, miR-200c, miR-200b, miR-203, miR-205 and miR-214) previously demonstrated as diagnostic, were compared in exosomes isolated from sera specimens of women with benign disease and various stages of ovarian cancer.

Results: MicroRNA from ovarian tumor cells and exosomes from the same patients were positive for 218 of 467 mature microRNAs analyzed. The levels of the 8 specific microRNAs were similar between cellular and exosomal microRNAs (exhibiting correlations from 0.71 to 0.90). While EpCAM-positive exosomes were detectable in both patients with benign ovarian disease and ovarian cancer, exosomal microRNA from ovarian cancer patients exhibited similar profiles, which were significantly distinct from profiles observed in benign disease. Exosomal microRNA could not be detected in normal controls.

Conclusions: These results suggest that microRNA profiling of circulating tumor exosomes could potentially be used as surrogate diagnostic markers for biopsy profiling, extending its utility to screening asymptomatic populations.

Citing Articles

MircoRNAs predict and modulate responses to chemotherapy in leukemic patients.

Ellakwa D, Abdelmalek M, Mostafa M, Ellakwa T, Wadan A Naunyn Schmiedebergs Arch Pharmacol. 2025; .

PMID: 39808312 DOI: 10.1007/s00210-024-03675-7.


vCPP2319 interacts with metastatic breast cancer extracellular vesicles (EVs) and transposes a human blood-brain barrier model.

Oliveira F, Cavaco M, Figueira T, Napoleao P, Valle J, Neves V Heliyon. 2024; 10(23):e40907.

PMID: 39717586 PMC: 11664409. DOI: 10.1016/j.heliyon.2024.e40907.


Extracellular vesicles as a promising biomarker resource in liquid biopsy for cancer.

Tamura T, Yoshioka Y, Sakamoto S, Ichikawa T, Ochiya T Extracell Vesicles Circ Nucl Acids. 2024; 2(2):148-174.

PMID: 39703905 PMC: 11656527. DOI: 10.20517/evcna.2021.06.


Sensitive and reliable lab-on-paper biosensor for label-free detection of exosomes by electrochemical impedance spectroscopy.

Sazaklioglu S, Torul H, Tamer U, Ensarioglu H, Vatansever H, Gumus B Mikrochim Acta. 2024; 191(10):617.

PMID: 39316098 DOI: 10.1007/s00604-024-06644-2.


Exosome prospects in the diagnosis and treatment of non-alcoholic fatty liver disease.

Tamimi A, Javid M, Sedighi-Pirsaraei N, Mirdamadi A Front Med (Lausanne). 2024; 11:1420281.

PMID: 39144666 PMC: 11322140. DOI: 10.3389/fmed.2024.1420281.