Literature DB >> 30803388

Independent Comparison of the Afirma Genomic Sequencing Classifier and Gene Expression Classifier for Cytologically Indeterminate Thyroid Nodules.

Trevor E Angell1, Howard T Heller2, Edmund S Cibas3, Justine A Barletta3, Matthew I Kim1, Jeffrey F Krane3, Ellen Marqusee1.   

Abstract

Background: For thyroid nodules with indeterminate cytology, the Afirma Gene Expression Classifier (GEC) identified benign nodules to reduce diagnostic surgery, though many nodules classified as suspicious still proved histopathologically benign. The current Afirma Genomic Sequencing Classifier (GSC) demonstrates improved specificity, suggesting more nodules will have a benign result (benign call rate [BCR]), but independent data are needed to confirm this in clinical practice.
Methods: Retrospective analysis was performed of all Bethesda III or IV cytology thyroid nodules ≥1 cm tested with GEC (between January 1, 2011, and July 19, 2017) or GSC (between July 20, 2017, and August 27, 2018) at the authors' institution. Afirma testing was not performed reflectively for all nodules with Bethesda III or IV cytology, but rather was applied based on physician-patient decision making. Demographic, sonographic, and cytologic data were collected. The BCR for GEC- versus GSC-tested nodules was compared and further stratified by Bethesda classifications.
Results: The study evaluated 600 nodules in 563 patients tested with either GEC (n = 486) or GSC (n = 114). The BCR was 233/486 (47.9%) for the GEC compared to 75/114 (65.8%) for the GSC (p = 0.0006). Hürthle-cell cytology was present in 99/486 (20.4%) nodules in the GEC group compared to 31/114 (27.2%) nodules in the GSC group (p = 0.28). The GSC BCR was significantly higher than the GEC BCR for Bethesda III nodules characterized by Hürthle cells (p = 0.006), but the BCRs were similar for nodules with architectural or cytologic atypia. In Bethesda IV nodules suspicious for follicular neoplasm, BCR for the GEC and GSC were similar (p = 0.68), but for cytology suspicious for Hürthle-cell neoplasm, the GSC BCR was 68.2% (15/22) compared to the GEC BCR of 16.4% (10/61; p < 0.0001). Positive predictive value in resected nodules with a suspicious result was 16/32 (50%) for GSC nodules and 75/221 (33.9%) for GEC nodules (p = 0.1). Conclusions: The higher BCR for the GSC compared to the GEC for indeterminate thyroid nodules, predominantly among nodules with Hürthle-cell cytology, will likely lead to further reduction in surgical management.

Entities:  

Keywords:  Afirma; GSC; atypia; indeterminate cytology; thyroid nodule

Year:  2019        PMID: 30803388     DOI: 10.1089/thy.2018.0726

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


  19 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.  Testing for Afirma in Thyroid Nodules with High-Risk Indeterminate Cytology (TIR3B): First Italian Experience.

Authors:  Massimiliano Andrioli; Silvia Carocci; Stefania Alessandrini; Mostafa Amini; Dominique Van Doorne; Daniela Pace; Angelo Lauria; Marco Raffaelli; Pierpaolo Trimboli
Journal:  Endocr Pathol       Date:  2020-03       Impact factor: 3.943

3.  Features of Cytologically Indeterminate Molecularly Benign Nodules Treated With Surgery.

Authors:  Mayumi Endo; Kyle Porter; Clarine Long; Irina Azaryan; John E Phay; Matthew D Ringel; Jennifer A Sipos; Fadi Nabhan
Journal:  J Clin Endocrinol Metab       Date:  2020-11-01       Impact factor: 5.958

4.  Repeat Fine Needle Aspiration Cytology Refines the Selection of Thyroid Nodules for Afirma Gene Expression Classifier Testing.

Authors:  Michiya Nishino; Roselyn Mateo; Holly Kilim; Anna Feldman; Amanda Elliott; Changyu Shen; Per-Olof Hasselgren; Helen Wang; Pamela Hartzband; James V Hennessey
Journal:  Thyroid       Date:  2021-06-22       Impact factor: 6.506

Review 5.  Contemporary Thyroid Nodule Evaluation and Management.

Authors:  Giorgio Grani; Marialuisa Sponziello; Valeria Pecce; Valeria Ramundo; Cosimo Durante
Journal:  J Clin Endocrinol Metab       Date:  2020-09-01       Impact factor: 5.958

6.  Analytical and Clinical Validation of Expressed Variants and Fusions From the Whole Transcriptome of Thyroid FNA Samples.

Authors:  Trevor E Angell; Lori J Wirth; Maria E Cabanillas; Maisie L Shindo; Edmund S Cibas; Joshua E Babiarz; Yangyang Hao; Su Yeon Kim; P Sean Walsh; Jing Huang; Richard T Kloos; Giulia C Kennedy; Steven G Waguespack
Journal:  Front Endocrinol (Lausanne)       Date:  2019-09-11       Impact factor: 5.555

7.  Extending expressed RNA genomics from surgical decision making for cytologically indeterminate thyroid nodules to targeting therapies for metastatic thyroid cancer.

Authors:  Syed Z Ali; Allan Siperstein; Peter M Sadow; Allan C Golding; Giulia C Kennedy; Richard T Kloos; Paul W Ladenson
Journal:  Cancer Cytopathol       Date:  2019-04-24       Impact factor: 4.264

Review 8.  The Role of Molecular Testing for the Indeterminate Thyroid FNA.

Authors:  Esther Diana Rossi; Liron Pantanowitz; William C Faquin
Journal:  Genes (Basel)       Date:  2019-09-23       Impact factor: 4.096

9.  Thyroseq v3, Afirma GSC, and microRNA Panels Versus Previous Molecular Tests in the Preoperative Diagnosis of Indeterminate Thyroid Nodules: A Systematic Review and Meta-Analysis.

Authors:  Cristina Alina Silaghi; Vera Lozovanu; Carmen Emanuela Georgescu; Raluca Diana Georgescu; Sergiu Susman; Bogdana Adriana Năsui; Anca Dobrean; Horatiu Silaghi
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-13       Impact factor: 5.555

Review 10.  The Afirma Xpression Atlas for thyroid nodules and thyroid cancer metastases: Insights to inform clinical decision-making from a fine-needle aspiration sample.

Authors:  Jeffrey F Krane; Edmund S Cibas; Mayumi Endo; Ellen Marqusee; Mimi I Hu; Christian E Nasr; Steven G Waguespack; Lori J Wirth; Richard T Kloos
Journal:  Cancer Cytopathol       Date:  2020-06-16       Impact factor: 5.284

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