Evidence map›Paper›PMID 23150679›Full record

ArticleThe Journal of clinical endocrinology and metabolism2013

MicroRNA expression array identifies novel diagnostic markers for conventional and oncocytic follicular thyroid carcinomas.

Matthias Dettmer, Alexander Vogetseder, Mary Beth Durso, Holger Moch, Paul Komminoth, Aurel Perren, Yuri E Nikiforov, Marina N Nikiforova

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
14.4field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The actual and future role of molecular tests in thyroid pathology.Virchows Archiv : an international journal of pathology · 2026
    Review
  4. Intracellular and Extracellular Vesicle miRNA Signatures in Human iPSC-Derived Neural Stem Cells and Floor Plate Progenitors.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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  9. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
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  13. Article
  14. Article
  15. Article
  16. Review
  17. Clinical RoutineCancers · 2019
    Article
  18. Review
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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

8 authors at 4 institutions in 2 countries.

Matthias DettmerDepartment of Pathology and Laboratory Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania 15213, USA.
Alexander Vogetseder
Mary Beth Durso
Holger Moch
Paul Komminoth
Aurel Perren
Yuri E Nikiforov
Marina N Nikiforova
University of Pittsburgh Medical Center · USUniversity Hospital of Zurich · CHTriemli Hospital · CHUniversity of Bern · CH

Funding

Mechanisms of RET/PTC rearrangements in thyroid cancerR01CA088041 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIKIFOROV, YURI E · 2001 to 2017
$3.8M
NCI NIH HHS R01 CA088041NCI NIH HHS R01 CA88041
6 · The paper itself

Abstract

objectiveThe most difficult thyroid tumors to be diagnosed by cytology and histology are conventional follicular carcinomas (cFTCs) and oncocytic follicular carcinomas (oFTCs). Several microRNAs (miRNAs) have been previously found to be consistently deregulated in papillary thyroid carcinomas; however, very limited information is available for cFTC and oFTC. The aim of this study was to explore miRNA deregulation and find candidate miRNA markers for follicular carcinomas that can be used diagnostically.

designThirty-eight follicular thyroid carcinomas (21 cFTCs, 17 oFTCs) and 10 normal thyroid tissue samples were studied for expression of 381 miRNAs using human microarray assays. Expression of deregulated miRNAs was confirmed by individual RT-PCR assays in all samples. In addition, 11 follicular adenomas, two hyperplastic nodules (HNs), and 19 fine-needle aspiration samples were studied for expression of novel miRNA markers detected in this study.

resultsThe unsupervised hierarchical clustering analysis demonstrated individual clusters for cFTC and oFTC, indicating the difference in miRNA expression between these tumor types. Both cFTCs and oFTCs showed an up-regulation of miR-182/-183/-221/-222/-125a-3p and a down-regulation of miR-542-5p/-574-3p/-455/-199a. Novel miRNA (miR-885-5p) was found to be strongly up-regulated (>40-fold) in oFTCs but not in cFTCs, follicular adenomas, and HNs. The classification and regression tree algorithm applied to fine-needle aspiration samples demonstrated that three dysregulated miRNAs (miR-885-5p/-221/-574-3p) allowed distinguishing follicular thyroid carcinomas from benign HNs with high accuracy.

conclusionsIn this study we demonstrate that different histopathological types of follicular thyroid carcinomas have distinct miRNA expression profiles. MiR-885-5p is highly up-regulated in oncocytic follicular carcinomas and may serve as a diagnostic marker for these tumors. A small set of deregulated miRNAs allows for an accurate discrimination between follicular carcinomas and hyperplastic nodules and can be used diagnostically in fine-needle aspiration biopsies.

Indexed as

Adenocarcinoma, FollicularAdenoma, OxyphilicAlgorithmsBiomarkers, TumorBiopsy, Fine-NeedleCarcinomaCarcinoma, PapillaryCluster AnalysisGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroarray AnalysisMicroRNAsOxyphil CellsPrognosisThyroid Cancer, PapillaryBiomarkers, TumorMicroRNAs

Identifiers

PMID23150679
PMCPMC3537083
OpenAlexW2042720550

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.