Evidence mapPaperPMID 42043718Full record

ArticleEndocrine2026

Combination of hsa-miR-21-3p/ sTNF-RI/ IL12-p40 /CCL25 serves as a promising panel of diagnostic biomarkers for distinguishing malignant from benign nodules in papillary thyroid cancer.

Abdulmelik Aytatli, Abdulkadir Sahin, Neslisah Barlak, Hasan Onur Caglar, Betul Gundogdu, Arzu Tatar, Omer Faruk Karatas

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Article in Endocrine, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Abdulmelik AytatliMolecular Biology and Genetics Department, Erzurum Technical University, Erzurum, Turkey.
Abdulkadir SahinDepartment of Otorhinolaryngology Diseases, Faculty of Medicine, Ataturk University, Erzurum, Turkey.
Neslisah BarlakMolecular Biology and Genetics Department, Erzurum Technical University, Erzurum, Turkey.
Hasan Onur CaglarMolecular Biology and Genetics Department, Erzurum Technical University, Erzurum, Turkey.
Betul GundogduDepartment of Medical Pathology, Faculty of Medicine, Ataturk University, Erzurum, Turkey.
Arzu TatarDepartment of Otorhinolaryngology Diseases, Faculty of Medicine, Ataturk University, Erzurum, Turkey.
Omer Faruk KaratasMolecular Biology and Genetics Department, Erzurum Technical University, Erzurum, Turkey. faruk.karatas@erzurum.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePapillary thyroid cancer (PTC) is the most common thyroid malignancy and is often difficult to distinguish from benign nodules using current diagnostic tools, resulting in unnecessary surgical interventions. This study aimed to identify robust, reliable, and non-invasive circulating biomarkers capable of accurately discriminating benign from malignant PTC nodules by elucidating the relationship between thyroid tissue and circulating microRNA/cytokine profiles.

methodsPaired arterial plasma supplying the thyroid gland and venous plasma draining the gland were collected from patients with benign thyroid nodules and malignant PTC. In addition, preoperative and postoperative peripheral plasma samples were obtained. MicroRNA profiles were compared between arterial inflow and venous outflow to assess thyroid-derived contributions to circulating biomarkers. Differentially expressed microRNAs were validated in preoperative and postoperative peripheral plasma samples and formalin-fixed, paraffin-embedded (FFPE) thyroid tissue sections. Subsequently, cytokine profiles associated with target microRNAs were investigated using cytokine arrays, and selected target proteins were further validated by ELISA.

resultsArterial–venous comparisons revealed distinct microRNA and cytokine signatures associated with malignant PTC compared with benign nodules, reflecting tumor-specific release into the circulation. These findings were consistently validated in FFPE tissues and peripheral plasma samples. Importantly, the combined panel of hsa-miR-21-3p, sTNF-RI, IL-12p40, and CCL25 demonstrated high diagnostic performance in distinguishing malignant PTC from benign thyroid lesions. DISCUSSION: This integrated tissue-to-circulation approach provides direct evidence that the thyroid microenvironment significantly contributes to the circulating biomarker landscape. The identified biomarker panel represents a promising non-invasive diagnostic tool with the potential to improve PTC diagnosis, reduce unnecessary surgical procedures, and support clinical decision-making.

Indexed as

Biomarkers, TumorInterleukin-12 Subunit p40MicroRNAsThyroid Cancer, PapillaryThyroid NeoplasmsThyroid NoduleAdultDiagnosis, DifferentialFemaleHumansMaleMiddle AgedBiomarkers, TumorInterleukin-12 Subunit p40MicroRNAsMIRN21 microRNA, humancytokinemicroRNAmiR-21-3pPapillary thyroid cancerproteome

Identifiers

PMID42043718
PMCPMC13121238

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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.