FCCC LOGO Faculty Publications
Performance of the Afirma genomic sequencing classifier versus gene expression classifier: An institutional experience
Cancer Cytopathol. 2019 Nov;127(11) :720-724
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BACKGROUND: The use of fine-needle aspiration (FNA) to triage thyroid nodules has resulted in a significant reduction in thyroid surgery. However, approximately one-third of FNA specimens fall into the "indeterminate" category. The Afirma gene expression classifier (GEC) has been used to identify benign nodules with a high sensitivity and negative predictive value. However, the specificity and positive predictive value of the "suspicious" category are low. The updated Afirma genomic sequencing classifier (GSC) has been reported to demonstrate increased specificity while maintaining a high sensitivity and negative predictive value. METHODS: The authors retrospectively investigated 272 indeterminate thyroid FNA specimens (Bethesda categories III and IV) from nodules measuring >1 cm using the Afirma GEC or GSC tests (July 2012-January 2019). RESULTS: Of the 194 nodules tested using the Afirma GEC, a benign result was obtained in 88 cases (45.4%). In comparison, 52 of 78 FNA samples (66.7%) tested using GSC yielded a benign result (P = .002). In the GEC group, there were 31 cases with oncocytic cytology, 5 of which (16.1%) were benign on Afirma and 26 of which (83.9%) were suspicious on Afirma. In contrast, in the GSC group, there were 10 cases with oncocytic cytology, 8 of which (80%) were benign on Afirma and only 2 of which (20%) were found to be suspicious on Afirma (P < .001). The positive predictive value of the GSC group (57.1%) was higher than that of the GEC group (36.7%); however, there was no statistical significance noted (P = .15). CONCLUSIONS: A larger percentage of indeterminate thyroid FNA specimens were classified as benign using the Afirma GSC compared with the Afirma GEC, especially among samples with oncocytic features. The Afirma GSC appears to have a higher benign call rate compared with the Afirma GEC.
1934-6638 Wei, Shuanzeng ORCID: https://orcid.org/0000-0002-0441-6973 Veloski, Colleen Sharda, Pankaj Ehya, Hormoz Journal Article United States Cancer Cytopathol. 2019 Nov;127(11):720-724. doi: 10.1002/cncy.22188. Epub 2019 Sep 19.