Evidence map›Paper›PMID 32824820›Full record

ArticleCells2020

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

Lidia Zabegina, Inga Nazarova, Margarita Knyazeva, Nadezhda Nikiforova, Maria Slyusarenko, Sergey Titov, Dmitry Vasilyev, Ilya Sleptsov, Anastasia Malek

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  16. Opportunities and Challenges of Liquid Biopsy in Thyroid Cancer.International journal of molecular sciences · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Lidia ZabeginaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Inga NazarovaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Margarita KnyazevaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Nadezhda NikiforovaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Maria SlyusarenkoSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Sergey TitovPCR Laboratory; AO Vector-Best, 630117 Novosibirsk, Russia.ORCID 0000-0001-9401-5737
Dmitry VasilyevSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.
Ilya SleptsovDepartment of endocrine surgery, Clinic of High Medical Technologies, St. Petersburg State University N.I. Pirogov, 190103 St. Petersburg, Russia.
Anastasia MalekSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 195251 St. Petersburg, Russia.ORCID 0000-0001-5334-7292
Nanosystem (Russia) · RUPeter the Great St. Petersburg Polytechnic University · RUState Research Center of Virology and Biotechnology VECTOR · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe total population of EVs was isolated from the plasma of patients with FA (

resultsTPO(+)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).

conclusionThe 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.

Indexed as

Adenocarcinoma, FollicularAdenomaAutoantigensBiomarkers, TumorCase-Control StudiesDiagnosis, DifferentialExtracellular VesiclesFemaleHumansIodide PeroxidaseIron-Binding ProteinsMaleMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionThyroid NoduleAutoantigensBiomarkers, TumorIodide PeroxidaseIron-Binding ProteinsMicroRNAsmirnlet7 microRNA, humanTPO protein, humanbiomarkerEVfollicular adenomaLet-7liquid biopsymiRNAthyroid cancerTPO

Identifiers

PMID32824820
PMCPMC7465637
OpenAlexW3056345463

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.