Literature DB >> 24780044

An independent study of a gene expression classifier (Afirma) in the evaluation of cytologically indeterminate thyroid nodules.

Bryan McIver1, M Regina Castro, John C Morris, Victor Bernet, Robert Smallridge, Michael Henry, Laura Kosok, Honey Reddi.   

Abstract

CONTEXT: Molecular markers hold the promise of improved diagnostic yield in thyroid fine-needle biopsy. The Afirma gene expression classifier (GEC), available commercially, reports a negative predictive value of 94% in the diagnosis of benign nodules after indeterminate cytology. However, there are currently no independent studies of the performance of this assay.
OBJECTIVE: The aim was to assess the performance of the Afirma GEC in an academic medical center.
DESIGN: Samples for the GEC were collected according to the manufacturer's recommended protocol from patients undergoing thyroid fine-needle aspiration. We requested GEC analysis on nodules reported cytologically as follicular neoplasm or atypia or follicular lesion of undetermined significance from patients willing to defer surgery. PATIENTS: All patients undergoing thyroid fine-needle aspiration during the study period, whose cytology was reported as follicular neoplasm or atypia of undetermined significance/follicular lesion of undetermined significance, were offered access to the test and recruited to this study. INTERVENTION: PATIENTS whose GEC was "benign" were offered ultrasound follow-up in lieu of surgery. Those with a "suspicious" GEC were advised to undergo diagnostic lobectomy.
SETTING: The study was conducted at a large academic medical center. MAIN OUTCOME MEASURE: We measured the rate of benign and suspicious calls from the Afirma GEC and histological diagnosis after surgery.
RESULTS: A total of 72 nucleic acid samples were sent for GEC analysis. In 12 (17%) of these samples, there was insufficient mRNA, leaving 60 Afirma results for analysis. Of these, 16 (27%) were benign, whereas 44 (73%) were suspicious. The rate of confirmed malignancy in GEC-suspicious nodules was only 17%.
CONCLUSION: The Afirma GEC demonstrates a lower than expected rate of benign reports in follicular or Hürthle cell neoplasm and a lower than anticipated malignancy rate within GEC-suspicious nodules. These data suggest that the positive predictive value of the GEC is lower than previously reported and call into question the performance of the test when applied in the context of specialized academic cytopathology.

Entities:  

Mesh:

Year:  2014        PMID: 24780044     DOI: 10.1210/jc.2013-3584

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  47 in total

1.  European Thyroid Association Guidelines regarding Thyroid Nodule Molecular Fine-Needle Aspiration Cytology Diagnostics.

Authors:  Ralf Paschke; Silvia Cantara; Anna Crescenzi; Barbara Jarzab; Thomas J Musholt; Manuel Sobrinho Simoes
Journal:  Eur Thyroid J       Date:  2017-05-19

Review 2.  Molecular profiling of thyroid nodule fine-needle aspiration cytology.

Authors:  Markus Eszlinger; Lorraine Lau; Sana Ghaznavi; Christopher Symonds; Shamir P Chandarana; Moosa Khalil; Ralf Paschke
Journal:  Nat Rev Endocrinol       Date:  2017-03-31       Impact factor: 43.330

Review 3.  Tailored surgery according to molecular analysis in differentiated thyroid carcinomas.

Authors:  Paolo Miccoli; Gabriele Materazzi; Elisabetta Macerola; Sohail Bakkar
Journal:  Gland Surg       Date:  2018-08

Review 4.  Impact of Molecular Testing on the Management of Indeterminate Thyroid Nodules Among Western and Asian Countries: a Systematic Review and Meta-analysis.

Authors:  Hanh Thi Tuyet Ngo; Truong Phan Xuan Nguyen; Trang Huyen Vu; Chan Kwon Jung; Lewis Hassell; Kennichi Kakudo; Huy Gia Vuong
Journal:  Endocr Pathol       Date:  2020-08-07       Impact factor: 3.943

Review 5.  2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer.

Authors:  Bryan R Haugen; Erik K Alexander; Keith C Bible; Gerard M Doherty; Susan J Mandel; Yuri E Nikiforov; Furio Pacini; Gregory W Randolph; Anna M Sawka; Martin Schlumberger; Kathryn G Schuff; Steven I Sherman; Julie Ann Sosa; David L Steward; R Michael Tuttle; Leonard Wartofsky
Journal:  Thyroid       Date:  2016-01       Impact factor: 6.568

6.  Afirma Benign Thyroid Nodules Show Similar Growth to Cytologically Benign Nodules During Follow-Up.

Authors:  Trevor E Angell; Mary C Frates; Marco Medici; Xiaoyun Liu; Norra Kwong; Edmund S Cibas; Matthew I Kim; Ellen Marqusee
Journal:  J Clin Endocrinol Metab       Date:  2015-09-09       Impact factor: 5.958

7.  Wide Inter-institutional Variation in Performance of a Molecular Classifier for Indeterminate Thyroid Nodules.

Authors:  Jennifer L Marti; Vaidehi Avadhani; Luke A Donatelli; Sayani Niyogi; Beverly Wang; Richard J Wong; Ashok R Shaha; Ronald A Ghossein; Oscar Lin; Luc G T Morris; Allen S Ho
Journal:  Ann Surg Oncol       Date:  2015-04-11       Impact factor: 5.344

Review 8.  American Thyroid Association Statement on Surgical Application of Molecular Profiling for Thyroid Nodules: Current Impact on Perioperative Decision Making.

Authors:  Robert L Ferris; Zubair Baloch; Victor Bernet; Amy Chen; Thomas J Fahey; Ian Ganly; Steven P Hodak; Electron Kebebew; Kepal N Patel; Ashok Shaha; David L Steward; Ralph P Tufano; Sam M Wiseman; Sally E Carty
Journal:  Thyroid       Date:  2015-06-24       Impact factor: 6.568

9.  Gene expression classifier for the diagnosis of indeterminate thyroid nodules: a meta-analysis.

Authors:  Prasanna Santhanam; Rodhan Khthir; Todd Gress; Ayman Elkadry; Omolola Olajide; Abid Yaqub; Henry Driscoll
Journal:  Med Oncol       Date:  2016-01-09       Impact factor: 3.064

Review 10.  Molecular Testing for Thyroid Nodules Including Its Interpretation and Use in Clinical Practice.

Authors:  Snehal G Patel; Sally E Carty; Andrew J Lee
Journal:  Ann Surg Oncol       Date:  2021-07-18       Impact factor: 5.344

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