Evidence map›Paper›PMID 35737153›Full record

ArticleBulletin of experimental biology and medicine2022

Search for New Target Genes of MicroRNA for Differential Diagnosis of Benign and Malignant Neoplasms of the Thyroid Gland by In Silico Methods.

V V Kononchuk, E V Kopeikina, T S Kalinina, O V Saik, E Yu Alekseenok, M K Kolyagina, V A Matashova, S P Shevchenko, L F Gulyaeva, N E Kushlinskii

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Article in Bulletin of experimental biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

V V KononchukFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
E V KopeikinaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
T S KalininaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
O V SaikResearch Institute of Clinical and Experimental Lymphology - Affiliated Branch of Federal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia.
E Yu AlekseenokFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
M K KolyaginaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
V A MatashovaNovosibirsk National Research State University, Novosibirsk, Russia.
S P ShevchenkoNovosibirsk National Research State University, Novosibirsk, Russia.
L F GulyaevaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
N E KushlinskiiN. N. Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation, Moscow, Russia. kne3108@gmail.com.
Federal Research Center of Fundamental and Translational Medicine · RUNovosibirsk State University · RUInstitute of Clinical and Experimental Lymphology · RUMinistry of Health of the Russian Federation · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential diagnosis of thyroid gland neoplasms is an urgent problem in modern oncothyroidology. This is especially true for the diagnosis of follicular thyroid cancer and follicular thyroid adenoma at the preoperative stage. In this study, in silico methods were used to search for potential markers that are microRNA target genes. A list of 19 microRNAs was compiled, the expression of which varies depending on the type of thyroid neoplasms. For these microRNAs, the target genes were selected considering tissue specificity and association with thyroid diseases. We selected 9 target genes (MCM2, RASSF2, SPAG9, SSTR2, TP53BP1, INPP4B, CCDC80, GNAS, and PLK1), which can be considered as promising markers according to published data. Also, 6 new potential markers (CDK4, FGFR1, ERBB3, EGR1, MYLK, and SRC) were found, which make it possible to distinguish between follicular thyroid cancer and follicular thyroid adenoma. The proposed algorithm using various bioinformatics tools allows us to identify potential markers for the differential diagnosis of thyroid neoplasms.

Indexed as

AdenomaMicroRNAsThyroid NeoplasmsAdaptor Proteins, Signal TransducingAdenocarcinoma, FollicularBiomarkers, TumorDiagnosis, DifferentialHumansAdaptor Proteins, Signal TransducingBiomarkers, TumorMicroRNAsSPAG9 protein, humanbioinformaticsfollicular adenomamicroRNAtarget genethyroid cancer

Identifiers

PMID35737153
OpenAlexW4283324478

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