Evidence map›Paper›PMID 27473101›Full record

ArticleEndocrine2016

Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity.

Tomasz Stokowy, Bartosz Wojtas, Barbara Jarzab, Knut Krohn, David Fredman, Henning Dralle, Thomas Musholt, Steffen Hauptmann, Dariusz Lange, László Hegedüs and 2 more

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Article in Endocrine, 2016. 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
4.0field-weighted citation impact, top 6% 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, 31 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. MicroRNA Profiling in Papillary Thyroid Cancer.International journal of molecular sciences · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Update on Fundamental Mechanisms of Thyroid Cancer.Frontiers in endocrinology · 2020
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. MicroRNAs as Biomarkers in Thyroid Carcinoma.International journal of genomics · 2017
    Review
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

12 authors at 8 institutions in 5 countries.

Tomasz StokowyDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Bartosz WojtasDepartment of Nuclear Medicine and Endocrine Oncology, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, and Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland.
Barbara JarzabDepartment of Nuclear Medicine and Endocrine Oncology, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, and Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland.
Knut KrohnIZKF Leipzig, University of Leipzig, Leipzig, Germany.
David FredmanComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Henning DralleDepartment of General, Visceral and Vascular Surgery, University of Halle-Wittenberg, Halle (Saale), Germany.
Thomas MusholtDepartment of General, Visceral, and Transplantation Surgery, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
Steffen HauptmannDepartment of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Dariusz LangeTumor Pathology Department, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Gliwice, Poland.
László HegedüsDepartment of Endocrinology and Metabolism, Odense University Hospital, Odense, Denmark.
Ralf PaschkeDivision of Endocrinology and Metabolism, Departments of Medicine and Oncology and Arnie Charbonneau Cancer Institute, Cummings School of Medicine, University of Calgary, Calgary, AB, Canada.
Markus EszlingerDepartment of Oncology and Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. markus.eszlinger1@ucalgary.ca.
Silesian University of Technology · PLMartin Luther University Halle-Wittenberg · DEUniversity of Calgary · CALeipzig University · DEOdense University Hospital · DKThe Maria Sklodowska-Curie National Research Institute of Oncology · PLUniversity Medical Center of the Johannes Gutenberg University Mainz · DEUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of thyroid by fine needle aspiration is challenging for the "indeterminate" category and can be supported by molecular testing. We set out to identify miRNA markers that could be used in a diagnostic setting to improve the discrimination of mutation-negative indeterminate fine needle aspirations. miRNA high-throughput sequencing was performed for freshly frozen tissue samples of 19 RAS and PAX8/PPARG mutation-negative follicular thyroid carcinomas, and 23 RAS and PAX8/PPARG mutation-negative follicular adenomas. Differentially expressed miRNAs were validated by quantitative polymerase chain reaction in a set of 44 fine needle aspiration samples representing 24 follicular thyroid carcinomas and 20 follicular adenomas. Twenty-six miRNAs characterized by a significant differential expression between follicular thyroid carcinomas and follicular adenomas were identified. Nevertheless, since no single miRNA had satisfactory predictive power, classifiers comprising two differentially expressed miRNAs were designed with the aim to improve the classification. Six two-miRNA classifiers were established and quantitative polymerase chain reaction validated in fine needle aspiration samples. Four out of six classifiers were characterized by a high specificity (≥94 %). The best two-miRNA classifier (miR-484/miR-148b-3p) identified thyroid malignancy with a sensitivity of 89 % and a specificity of 87 %. The high-throughput sequencing allowed the identification of subtle differences in the miRNA expression profiles of follicular thyroid carcinomas and follicular adenomas. While none of the differentially expressed miRNAs could be used as a stand-alone malignancy marker, the validation results for two-miRNA classifiers in an independent set of fine needle aspirations are very promising. The ultimate evaluation of these classifiers for their capability of discriminating mutation-negative indeterminate fine needle aspirations will require the evaluation of a sufficiently large number of fine needle aspirations with histological confirmation.

Indexed as

Adenocarcinoma, FollicularAdenomaAdultBiopsy, Fine-NeedleDiagnosis, DifferentialFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedMutationSensitivity and SpecificityThyroid GlandMicroRNAsMIRN148 microRNA, humanMIRN484 microRNA, humanClassifierFine needle aspiration cytologyFollicular thyroid adenomaFollicular thyroid cancerHigh-throughput sequencingmiRNA

Identifiers

PMID27473101
OpenAlexW2505349024

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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 OpenQuestion graph.