Literature DB >> 33010060

Comparison of Afirma Gene Expression Classifier with Gene Sequencing Classifier in indeterminate thyroid nodules: A single-institutional experience.

Yipeng Geng1, Josephine S Aguilar-Jakthong1, Neda A Moatamed1.   

Abstract

INTRODUCTION: The Afirma test has been used in the diagnosis of cytologically indeterminate thyroid nodules to reduce diagnostic uncertainty and unnecessary surgeries. Gene Sequencing Classifier (GSC) was developed to improve the positive predictive value and overall test performance of Gene Expression Classifier (GEC). Here we present our experience comparing the performance of first-generation assay of Afirma (GEC) with the new assay (GSC).
METHODS: Retrospective analysis was performed on all Bethesda III and IV cytology thyroid nodules tested with GEC and GSC. Test performance was evaluated by surgical pathology outcomes.
RESULTS: In total, 167 cases were tested with GEC, of which 49% were reported as benign. Fourteen cases had surgical follow-up with 11 benign, one non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and two malignant diagnoses. Of the 167 cases, 51% had suspicious GEC result. Fifty-seven of these suspicious GEC cases had surgical follow-up with 28 benign, nine NIFTP and 20 malignant histology. There 133 cases tested with GSC, of which 61% were reported as benign. Ten cases had surgical follow-up, all of which showed benign results and 32% of the cases were tested as suspicious. Thirty-six cases with suspicious GSC had surgical follow-up. Fourteen of them had benign, five NIFTP, and 17 malignant surgical pathology. Based on molecular testing, surgical resection could have been be prevented 61% with GSC, compared to 49% with GEC test.
CONCLUSION: Our experience shows that GSC has a better test performance than GEC. Also, our data support that GSC identify more cases as benign and reduces the number of unnecessary surgeries compared to GEC.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  Gene Expression Classifier; Gene Sequencing Classifier; cytology; fine-needle aspiration; indeterminate nodules; thyroid

Mesh:

Year:  2020        PMID: 33010060     DOI: 10.1111/cyt.12920

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  4 in total

Review 1.  Molecular Characterization of Thyroid Follicular Lesions in the Era of "Next-Generation" Techniques.

Authors:  Esther Diana Rossi; Pietro Locantore; Carmine Bruno; Marco Dell'Aquila; Pietro Tralongo; Mariangela Curatolo; Luca Revelli; Marco Raffaelli; Luigi Maria Larocca; Liron Pantanowitz; Alfredo Pontecorvi
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-12       Impact factor: 6.055

2.  Comparison of Afirma GEC and GSC to Nodules Without Molecular Testing in Cytologically Indeterminate Thyroid Nodules.

Authors:  Preethi Polavarapu; Abbey Fingeret; Ana Yuil-Valdes; Daniel Olson; Anery Patel; Vijay Shivaswamy; Troy D Matthias; Whitney Goldner
Journal:  J Endocr Soc       Date:  2021-10-07

3.  Preoperative Identification of Medullary Thyroid Carcinoma (MTC): Clinical Validation of the Afirma MTC RNA-Sequencing Classifier.

Authors:  Gregory W Randolph; Julie Ann Sosa; Yangyang Hao; Trevor E Angell; David C Shonka; Virginia A LiVolsi; Paul W Ladenson; Thomas C Blevins; Quan-Yang Duh; Ronald Ghossein; Mack Harrell; Kepal Narendra Patel; Michael H Shanik; S Thomas Traweek; P Sean Walsh; Michael W Yeh; Amr H Abdelhamid Ahmed; Allen S Ho; Richard J Wong; Joshua P Klopper; Jing Huang; Giulia C Kennedy; Richard T Kloos; Peter M Sadow
Journal:  Thyroid       Date:  2022-08-08       Impact factor: 6.506

4.  Afirma Genomic Sequencing Classifier and Xpression Atlas Molecular Findings in Consecutive Bethesda III-VI Thyroid Nodules.

Authors:  Mimi I Hu; Steven G Waguespack; Chrysoula Dosiou; Paul W Ladenson; Masha J Livhits; Lori J Wirth; Peter M Sadow; Jeffrey F Krane; Brendan C Stack; Mark E Zafereo; Syed Z Ali; Steven P Weitzman; Yangyang Hao; Joshua E Babiarz; Giulia C Kennedy; Richard T Kloos
Journal:  J Clin Endocrinol Metab       Date:  2021-07-13       Impact factor: 5.958

  4 in total

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