Evidence map›Paper›PMID 28521616›Full record

ArticleThyroid : official journal of the American Thyroid Association2017

A 10-Gene Classifier for Indeterminate Thyroid Nodules: Development and Multicenter Accuracy Study.

Hernán E González, José R Martínez, Sergio Vargas-Salas, Antonieta Solar, Loreto Veliz, Francisco Cruz, Tatiana Arias, Soledad Loyola, Eleonora Horvath, Hernán Tala and 13 more

Registry-linked trialAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Thyroid : official journal of the American Thyroid Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06133374 (Concordance of Molecular Classification Based on Fine Needle Biopsy), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT06133374 recruitingnot on this mapstarted 2024, after this paper: background citation

Concordance of Molecular Classification Based on Fine Needle Biopsy (FNB) and Surgical Samples

TypeobservationalSponsorUniversity of CalgaryRan2024 to 2028Enrolled130ConditionsPapillary Thyroid Cancer
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Article
  5. Heme oxygenase-1 in thyroid cancer: a context-dependent regulator.Journal of endocrinological investigation · 2026
    Review
  6. Review
  7. Molecular testing for thyroid nodules: Where are we now?Reviews in endocrine & metabolic disorders · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Contemporary Thyroid Nodule Evaluation and Management.The Journal of clinical endocrinology and metabolism · 2020
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

23 authors.

Hernán E González1 Department of Surgical Oncology, Pontificia Universidad Católica de Chile , Santiago, Chile .
José R Martínez1 Department of Surgical Oncology, Pontificia Universidad Católica de Chile , Santiago, Chile .
Sergio Vargas-Salas1 Department of Surgical Oncology, Pontificia Universidad Católica de Chile , Santiago, Chile .
Antonieta Solar2 Department of Anatomic Pathology, Pontificia Universidad Católica de Chile , Santiago, Chile .
Loreto Veliz3 Department of Physiology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile , Santiago, Chile .
Francisco Cruz4 Department of Radiology, Faculty of Medicine, Pontificia Universidad Católica de Chile , Santiago, Chile .
Tatiana Arias4 Department of Radiology, Faculty of Medicine, Pontificia Universidad Católica de Chile , Santiago, Chile .
Soledad Loyola4 Department of Radiology, Faculty of Medicine, Pontificia Universidad Católica de Chile , Santiago, Chile .
Eleonora Horvath5 Department of Radiology, Clínica Alemana de Santiago, Universidad del Desarrollo , Santiago, Chile .
Hernán Tala5 Department of Radiology, Clínica Alemana de Santiago, Universidad del Desarrollo , Santiago, Chile .
Eufrosina Traipe6 Instituto Oncológico Fundación Arturo López Pérez , Santiago, Chile .
Manuel Meneses6 Instituto Oncológico Fundación Arturo López Pérez , Santiago, Chile .
Luis Marín6 Instituto Oncológico Fundación Arturo López Pérez , Santiago, Chile .
Nelson Wohllk7 Department of Endocrinology, Hospital del Salvador , Universidad de Chile, Santiago, Chile .
René E Diaz7 Department of Endocrinology, Hospital del Salvador , Universidad de Chile, Santiago, Chile .
Jesús Véliz7 Department of Endocrinology, Hospital del Salvador , Universidad de Chile, Santiago, Chile .
Pedro Pineda8 Sección Endocrinología y Diabetes, Departamento de Medicina, Hospital Clínico Universidad de Chile , Santiago, Chile .
Patricia Arroyo9 Hospital San Juan de Dios , Santiago, Chile .
Natalia Mena10 GeneproDX Chile SpA , Santiago, Chile .
Milagros Bracamonte10 GeneproDX Chile SpA , Santiago, Chile .
Giovanna Miranda10 GeneproDX Chile SpA , Santiago, Chile .
Elsa Bruce10 GeneproDX Chile SpA , Santiago, Chile .
Soledad Urra1 Department of Surgical Oncology, Pontificia Universidad Católica de Chile , Santiago, Chile .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn most of the world, diagnostic surgery remains the most frequent approach for indeterminate thyroid cytology. Although several molecular tests are available for testing in centralized commercial laboratories in the United States, there are no available kits for local laboratory testing. The aim of this study was to develop a prototype in vitro diagnostic (IVD) gene classifier for the further characterization of nodules with an indeterminate thyroid cytology.

methodsIn a first stage, the expression of 18 genes was determined by quantitative polymerase chain reaction (qPCR) in a broad histopathological spectrum of 114 fresh-tissue biopsies. Expression data were used to train several classifiers by supervised machine learning approaches. Classifiers were tested in an independent set of 139 samples. In a second stage, the best classifier was chosen as a model to develop a multiplexed-qPCR IVD prototype assay, which was tested in a prospective multicenter cohort of fine-needle aspiration biopsies.

resultsIn tissue biopsies, the best classifier, using only 10 genes, reached an optimal and consistent performance in the ninefold cross-validated testing set (sensitivity 93% and specificity 81%). In the multicenter cohort of fine-needle aspiration biopsy samples, the 10-gene signature, built into a multiplexed-qPCR IVD prototype, showed an area under the curve of 0.97, a positive predictive value of 78%, and a negative predictive value of 98%. By Bayes' theorem, the IVD prototype is expected to achieve a positive predictive value of 64-82% and a negative predictive value of 97-99% in patients with a cancer prevalence range of 20-40%.

conclusionsA new multiplexed-qPCR IVD prototype is reported that accurately classifies thyroid nodules and may provide a future solution suitable for local reference laboratory testing.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorBiopsy, Fine-NeedleChileCohort StudiesComputational BiologyDiagnosis, DifferentialExpert SystemsFollow-Up StudiesHumansMachine LearningNeoplasm ProteinsNeoplasm StagingPractice Guidelines as TopicPredictive Value of TestsPrevalenceBiomarkers, TumorNeoplasm Proteinsgene classifierindeterminate thyroid nodulesin vitro diagnostic testqPCR

Identifiers

PMID28521616
PMCPMC5564024

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Registered trials

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.