A Thyroid Genetic Classifier Correctly Predicts Benign Nodules with Indeterminate Cytology: Two Independent, Multicenter, Prospective Validation Trials

Mark Zafereo, Bryan McIver, Sergio Vargas-Salas, José Miguel Domínguez, David L. Steward, F. Christopher Holsinger, Emad Kandil, Michelle Williams, Francisco Cruz, Soledad Loyola, Antonieta Solar, Juan Carlos Roa, Augusto León, Nicolás Droppelman, Maite Lobos, Tatiana Arias, Christina S. Kong, Naifa Busaidy, Elizabeth G. Grubbs, Paul GrahamJohn Stewart, Alice Tang, Jiang Wang, Lisa Orloff, Marcela Henríquez, Marcela Lagos, Miren Osorio, Dina Schachter, Carmen Franco, Francisco Medina, Nelson Wohllk, René E. Diaz, Jesús Veliz, Eleonora Horvath, Hernán Tala, Pedro Pineda, Patricia Arroyo, Félix Vasquez, Eufrosina Traipe, Luis Marín, Giovanna Miranda, Elsa Bruce, Milagros Bracamonte, Natalia Mena, Hernán E. González

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Background: Although most thyroid nodules with indeterminate cytology are benign, in most of the world, surgery remains as the most frequent diagnostic approach. We have previously reported a 10-gene thyroid genetic classifier, which accurately predicts benign thyroid nodules. The assay is a prototype diagnostic kit suitable for reference laboratory testing and could potentially avoid unnecessary diagnostic surgery in patients with indeterminate thyroid cytology. Methods: Classifier performance was tested in two independent, ethnically diverse, prospective multicenter trials (TGCT-1/Chile and TGCT-2/USA). A total of 4061 fine-needle aspirations were collected from 15 institutions, of which 897 (22%) were called indeterminate. The clinical site was blind to the classifier score and the clinical laboratory blind to the pathology report. A matched surgical pathology and valid classifier score was available for 270 samples. Results: Cohorts showed significant differences, including (i) clinical site patient source (academic, 43% and 97% for TGCT-1 and-2, respectively); (ii) ethnic diversity, with a greater proportion of the Hispanic population (40% vs. 3%) for TGCT-1 and a greater proportion of African American (11% vs. 0%) and Asian (10% vs. 1%) populations for TGCT-2; and (iii) tumor size (mean of 1.7 and 2.5 cm for TGCT-1 and-2, respectively). Overall, there were no differences in the histopathological profile between cohorts. Forty-one of 155 and 45 of 115 nodules were malignant (cancer prevalence of 26% and 39% for TGCT-1 and-2, respectively). The classifier predicted 37 of 41 and 41 of 45 malignant nodules, yielding a sensitivity of 90% [95% confidence interval; CI 77-97] and 91% [95% CI 79-98] for TGCT-1 and-2, respectively. One hundred one of 114 and 61 of 70 nodules were correctly predicted as benign, yielding a specificity of 89% [95% CI 82-94] and 87% [95% CI 77-94], respectively. The negative predictive values for TGCT-1 and TGCT-2 were 96% and 94%, respectively, whereas the positive predictive values were 74% and 82%, respectively. The overall accuracy for both cohorts was 89%. Conclusions: Clinical validation of the classifier demonstrates equivalent performance in two independent and ethnically diverse cohorts, accurately predicting benign thyroid nodules that can undergo surveillance as an alternative to diagnostic surgery.

Original languageEnglish (US)
Pages (from-to)704-712
Number of pages9
JournalThyroid
Volume30
Issue number5
DOIs
StatePublished - May 1 2020

Keywords

  • clinical validation
  • gene classifier
  • indeterminate thyroid cytology

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

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