Afirma Gene Sequencing Classifier Compared with Gene Expression Classifier in Indeterminate Thyroid Nodules

被引:74
|
作者
Endo, Mayumi [1 ,2 ]
Nabhan, Fadi [1 ,2 ]
Porter, Kyle [5 ]
Roll, Katie [1 ,2 ]
Shirley, Lawrence A. [2 ,3 ]
Azaryan, Irina [1 ,2 ]
Tonkovich, Dena [2 ,4 ]
Perlick, Jeanette [1 ,2 ]
Ryan, Laura E. [1 ,2 ]
Khawaja, Raheela [1 ,2 ]
Meng, Shumei [1 ,2 ]
Phay, John E. [2 ,3 ]
Ringel, Matthew D. [1 ,2 ]
Sipos, Jennifer A. [1 ,2 ]
机构
[1] Ohio State Univ, Div Endocrinol Diabet & Metab, 1581 Dodd Dr, Columbus, OH 43210 USA
[2] Arthur G James Canc Ctr, 1581 Dodd Dr, Columbus, OH 43210 USA
[3] Ohio State Univ, Div Surg Oncol, 1581 Dodd Dr, Columbus, OH 43210 USA
[4] Ohio State Univ, Div Pathol, 1581 Dodd Dr, Columbus, OH 43210 USA
[5] Ohio State Univ, Dept Biomed Informat, Ctr Biostat & Bioinformat, Columbus, OH 43210 USA
关键词
indeterminate thyroid nodules; molecular diagnostic testing; Afirma; FOLLICULAR VARIANT; CARCINOMA; NEOPLASM; ASSOCIATION; DIAGNOSIS; DECISION; DRIVERS; TUMORS;
D O I
10.1089/thy.2018.0733
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The Afirma Gene Expression Classifier (GEC) has been used to further characterize cytologically indeterminate (cyto-I) thyroid nodules into either benign or suspicious categories. However, its relatively low positive predictive value (PPV) limited its use as a classifier for patients with suspicious results. The Afirma Gene Sequencing Classifier (GSC) was developed to improve PPV while maintaining a high negative predictive value (NPV), yet real-world assessment of its performance is lacking. Methods: We analyzed all patients who had cyto-I nodules and molecular testing with either GEC or GSC between 2011 and 2018 at a single academic medical center. Clinical information was obtained for 343 GEC-tested nodules and 164 GSC-tested nodules. Results: The GSC had a statistically significant higher benign call rate (76.2% vs. 48.1%, p < 0.001), PPV (60.0% vs. 33.3%, p = 0.01), and specificity (94.3% vs. 61.4%, p < 0.001) than the GEC. Improvement was statistically significant in both Bethesda III and Bethesda IV nodules. In particular, the benign call rate of GSC was significantly higher in nodules with Hurthle cell changes (88.8% vs. 25.7%, p < 0.01). The rate of surgical intervention in the indeterminate nodule cohort has decreased by 66.4% since switching to the GSC; 52.5% of indeterminate nodules went to surgery while using the GEC compared with 17.6% with the GSC (p < 0.001). This reduction was statistically significant in nodules with Bethesda III diagnoses, demonstrating a 70.9% decrease (GEC 51.3% vs. GSC 14.9%, p < 0.001), and in nodules with Bethesda IV cytology, a 39.2% decrease was noted (GEC 54.8% vs. GSC 33.3%, p = 0.003). Conclusions: Data from a single academic tertiary center show an improved specificity and PPV while maintaining high sensitivity and NPV for GSC compared with GEC. A statistically significant increase in benign call rates was observed in GSC compared with GEC, likely indicating fewer false positive results. After implementation of GSC, surgical interventions have been reduced by 68%.
引用
收藏
页码:1115 / 1124
页数:10
相关论文
共 50 条
  • [1] Independent Comparison of the Afirma Genomic Sequencing Classifier and Gene Expression Classifier for Cytologically Indeterminate Thyroid Nodules
    Angell, Trevor E.
    Heller, Howard T.
    Cibas, Edmund S.
    Barletta, Justine A.
    Kim, Matthew, I
    Krane, Jeffrey F.
    Marqusee, Ellen
    [J]. THYROID, 2019, 29 (05) : 650 - 656
  • [2] Comparison of Afirma Gene Expression Classifier with Gene Sequencing Classifier in Indeterminate Thyroid Nodules: A Single-Institutional Experience
    Geng, Yipeng
    Aguilar-Jakthong, Josephine
    Moatamed, Neda
    [J]. MODERN PATHOLOGY, 2020, 33 (SUPPL 2) : 350 - 351
  • [3] Comparison of Afirma Gene Expression Classifier with Gene Sequencing Classifier in Indeterminate Thyroid Nodules: A Single-Institutional Experience
    Geng, Yipeng
    Aguilar-Jakthong, Josephine
    Moatamed, Neda
    [J]. LABORATORY INVESTIGATION, 2020, 100 (SUPPL 1) : 350 - 351
  • [4] Comparison of Afirma Gene Expression Classifier with Gene Sequencing Classifier in indeterminate thyroid nodules: A single-institutional experience
    Geng, Yipeng
    Aguilar-Jakthong, Josephine S.
    Moatamed, Neda A.
    [J]. CYTOPATHOLOGY, 2021, 32 (02) : 187 - 191
  • [5] Evaluation of the Afirma Gene Expression Classifier in Repeat Indeterminate Thyroid Nodules
    Harrison, Grant
    Sosa, Julie Ann
    Jiang, Xiaoyin
    [J]. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 2017, 141 (07) : 985 - 989
  • [6] The Afirma Gene Sequencing Classifier in Cytologically Indeterminate Thyroid Nodules - Experience of a Single Institution
    Foster, Arianne
    Lai, Michael
    Klump, William
    Reid, Lisa
    Ren, Shuyue
    [J]. LABORATORY INVESTIGATION, 2020, 100 (SUPPL 1) : 343 - 344
  • [7] Ultrasound Features and Performance of Afirma Gene Sequencing Classifier in Cytologically Indeterminate Thyroid Nodules
    Azaryan, Irina
    Endo, Mayumi
    Sipos, Jennifer A.
    Ma, Jianing
    Peng, Jing
    Nabhan, Fadi
    [J]. JOURNAL OF THE ENDOCRINE SOCIETY, 2024, 8 (03)
  • [8] The Afirma Gene Sequencing Classifier in Cytologically Indeterminate Thyroid Nodules - Experience of a Single Institution
    Foster, Arianne
    Lai, Michael
    Klump, William
    Reid, Lisa
    Ren, Shuyue
    [J]. MODERN PATHOLOGY, 2020, 33 (SUPPL 2) : 343 - 344
  • [9] An Independent Study of a Gene Expression Classifier (Afirma) in the Evaluation of Cytologically Indeterminate Thyroid Nodules
    McIver, Bryan
    Castro, M. Regina
    Morris, John C.
    Bernet, Victor
    Smallridge, Robert
    Henry, Michael
    Kosok, Laura
    Reddi, Honey
    [J]. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2014, 99 (11): : 4069 - 4077
  • [10] Molecular Testing for Indeterminate Thyroid Nodules: Performance of the Afirma Gene Expression Classifier and ThyroSeq Panel
    Jug, Rachel C.
    Datto, Michael B.
    Jiang, Xiaoyin Sara
    [J]. CANCER CYTOPATHOLOGY, 2018, 126 (07) : 471 - 480