MiRNA let-7 from TPO(+) Extracellular Vesicles is a Potential Marker for a Differential Diagnosis of Follicular Thyroid Nodules.


Journal

Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052

Informations de publication

Date de publication:
18 08 2020
Historique:
received: 19 07 2020
revised: 14 08 2020
accepted: 15 08 2020
entrez: 23 8 2020
pubmed: 23 8 2020
medline: 20 3 2021
Statut: epublish

Résumé

The current approaches to distinguish follicular adenomas (FA) and follicular thyroid cancer (FTC) at the pre-operative stage have low predictive value. Liquid biopsy-based analysis of circulating extracellular vesicles (EVs) presents a promising diagnostic method. However, the extreme heterogeneity of plasma EV population hampers the development of new diagnostic tests. We hypothesize that the isolation of EVs with thyroid-specific surface molecules followed by miRNA analysis, may have improved diagnostic potency. The total population of EVs was isolated from the plasma of patients with FA ( TPO(+)EVs can be efficiently isolated by immunobeads. The analysis of Let-7 family members in TPO(+)EVs allows one to distinguish FA and FTC with high accuracy (area under curve defined by ROC = 0.77-0.84). The isolation of TPO(+)EVs, followed by RT-qPCR analysis of Let-7 family members, may present a helpful approach to manage follicular nodules in the thyroid gland.

Sections du résumé

BACKGROUND
The current approaches to distinguish follicular adenomas (FA) and follicular thyroid cancer (FTC) at the pre-operative stage have low predictive value. Liquid biopsy-based analysis of circulating extracellular vesicles (EVs) presents a promising diagnostic method. However, the extreme heterogeneity of plasma EV population hampers the development of new diagnostic tests. We hypothesize that the isolation of EVs with thyroid-specific surface molecules followed by miRNA analysis, may have improved diagnostic potency.
METHODS
The total population of EVs was isolated from the plasma of patients with FA (
RESULTS
TPO(+)EVs can be efficiently isolated by immunobeads. The analysis of Let-7 family members in TPO(+)EVs allows one to distinguish FA and FTC with high accuracy (area under curve defined by ROC = 0.77-0.84).
CONCLUSION
The isolation of TPO(+)EVs, followed by RT-qPCR analysis of Let-7 family members, may present a helpful approach to manage follicular nodules in the thyroid gland.

Identifiants

pubmed: 32824820
pii: cells9081917
doi: 10.3390/cells9081917
pmc: PMC7465637
pii:
doi:

Substances chimiques

Autoantigens 0
Biomarkers, Tumor 0
Iron-Binding Proteins 0
MicroRNAs 0
mirnlet7 microRNA, human 0
TPO protein, human EC 1.11.1.7
Iodide Peroxidase EC 1.11.1.8

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

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Auteurs

Lidia Zabegina (L)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.
Institute of Biomedical Systems and Biotechnologies, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.

Inga Nazarova (I)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.

Margarita Knyazeva (M)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.
Institute of Biomedical Systems and Biotechnologies, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.

Nadezhda Nikiforova (N)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.

Maria Slyusarenko (M)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.

Sergey Titov (S)

PCR Laboratory; AO Vector-Best, 630117 Novosibirsk, Russia.

Dmitry Vasilyev (D)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.

Ilya Sleptsov (I)

Department of endocrine surgery, Clinic of High Medical Technologies, St. Petersburg State University N.I. Pirogov, 190103 St. Petersburg, Russia.

Anastasia Malek (A)

Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.

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Classifications MeSH