| Literature DB >> 30419129 |
David L Steward1, Sally E Carty2, Rebecca S Sippel3, Samantha Peiling Yang4, Julie A Sosa5,6, Jennifer A Sipos7, James J Figge8, Susan Mandel9, Bryan R Haugen10, Kenneth D Burman11, Zubair W Baloch12, Ricardo V Lloyd13, Raja R Seethala14, William E Gooding15, Simion I Chiosea11, Cristiane Gomes-Lima11, Robert L Ferris16, Jessica M Folek8, Raheela A Khawaja7, Priya Kundra11, Kwok Seng Loh17, Carrie B Marshall18, Sarah Mayson10, Kelly L McCoy2, Min En Nga19, Kee Yuan Ngiam20, Marina N Nikiforova14, Jennifer L Poehls21, Matthew D Ringel7, Huaitao Yang22, Linwah Yip2, Yuri E Nikiforov14.
Abstract
Importance: Approximately 20% of fine-needle aspirations (FNA) of thyroid nodules have indeterminate cytology, most frequently Bethesda category III or IV. Diagnostic surgeries can be avoided for these patients if the nodules are reliably diagnosed as benign without surgery. Objective: To determine the diagnostic accuracy of a multigene classifier (GC) test (ThyroSeq v3) for cytologically indeterminate thyroid nodules. Design, Setting, and Participants: Prospective, blinded cohort study conducted at 10 medical centers, with 782 patients with 1013 nodules enrolled. Eligibility criteria were met in 256 patients with 286 nodules; central pathology review was performed on 274 nodules. Interventions: A total of 286 FNA samples from thyroid nodules underwent molecular analysis using the multigene GC (ThyroSeq v3). Main Outcomes and Measures: The primary outcome was diagnostic accuracy of the test for thyroid nodules with Bethesda III and IV cytology. The secondary outcome was prediction of cancer by specific genetic alterations in Bethesda III to V nodules.Entities:
Mesh:
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Year: 2019 PMID: 30419129 PMCID: PMC6439562 DOI: 10.1001/jamaoncol.2018.4616
Source DB: PubMed Journal: JAMA Oncol ISSN: 2374-2437 Impact factor: 31.777
Figure 1. Recruitment and Exclusion of Patients and Samples in the Study
FNA indicates fine-needle aspiration; TNA, total nucleic acids; NIFTP, noninvasive follicular thyroid neoplasm with papillary-like nuclear features.
Performance of the Genomic Classifier Test in Cytologically Indeterminate Thyroid Nodules
| Result | Cancer+NIFTP (n = 35) | Benign (n = 119) | Test performance, % (95% CI) |
| Positive | 32 | 18 | Sensitivity, 91 (77-97) |
| Negative | 3 | 101 | |
| Result | Cancer+NIFTP (n = 33) | Benign (n = 60) | Test performance, % (95% CI) |
| Positive | 32 | 15 | Sensitivity, 97(85-100) |
| Negative | 1 | 45 | |
| Result | Cancer+NIFTP (n = 68) | Benign (n = 179) | Result |
| Positive | 64 | 33 | Sensitivity, 94 (86-98) |
| Negative | 4 | 146 | |
| Result | Cancer+NIFTP (n = 76) | Benign (n = 181) | Test performance, % (95% CI) |
| Positive | 71 | 34 | Sensitivity, 93 (86-97) |
| Negative | 5 | 147 | |
Abbreviations: NIFTP, Noninvasive follicular thyroid neoplasm with papillary-like nuclear features; NPV, negative predictive value; PPV, positive predictive value.
Test Performance in Specific Histopathologic Types of Thyroid Lesions
| Histopathologic Diagnosis | Nodules, No. (%) | Test | Correctly Classified, % (95% CI) | |
|---|---|---|---|---|
| Positive | Negative | |||
| Benign | ||||
| Hyperplastic follicular cell nodule | 95 (37) | 11 | 84 | 88 (80-93) |
| Hyperplastic Hürthle cell nodule | 5 (2) | 0 | 5 | 100 (57-100) |
| Follicular adenoma | 47 (18) | 10 | 37 | 79 (65-88) |
| Hürthle cell adenoma | 34 (13) | 13 | 21 | 62 (45-76) |
| NIFTP | 11 (4) | 11 | 0 | 100 (74-100) |
| Malignant | ||||
| Papillary thyroid carcinoma | 49 (19) | 45 | 4 | 92 (81-97) |
| Follicular thyroid carcinoma | 4 (2) | 3 | 1 | 75 (30-99) |
| Hürthle cell carcinoma | 10 (4) | 10 | 0 | 100 (72-100) |
| Medullary thyroid carcinoma | 1 (0.5) | 1 | 0 | 100 (5-100) |
| Metastatic carcinoma | 1 (0.5) | 1 | 0 | 100 (5-100) |
| Total | 257 (100) | 105 | 152 | 85 (80-89) |
Abbreviation: NIFTP, Noninvasive follicular thyroid neoplasm with papillary-like nuclear features.
Considering positive test result for NIFTP as correct classification.
Metastatic renal cell carcinoma.
Probability of Cancer/NIFTP in Specific Molecular Alteration Groups
| Group | Molecular Alterations, No. | Prevalence in Test-Positive Samples, No. (%) | Histopathologic Diagnosis, % | Cancer Type/NIFTP (%) | |
|---|---|---|---|---|---|
| Cancer/NIFTP | Benign | ||||
| High-risk group | 2 (2) | 100 | 0 | Papillary carcinoma (50) | |
| 13 (12) | 100 | 0 | Classical papillary carcinoma (92) | ||
| 60 (57) | 62 | 38 | Follicular variant papillary carcinoma (22) | ||
| Copy number alterations group | Copy number alterations | 22 (21) | 59 | 41 | Hürthle cell carcinoma (32) |
| Gene expression alterations group | Gene expression alterations | 8 (8) | 75 | 25 | Classical papillary carcinoma (37) |
Abbreviations: mRCC, metastatic renal cell carcinoma; MTC, medullary thyroid carcinoma; NIFTP, noninvasive follicular thyroid neoplasm with papillary-like nuclear features.
Figure 2. Predicted Performance of Genomic Classifier (GC) Test in Populations With Different Cancer/NIFTP Prevalence
Predicted negative predictive value (NPV) (solid blue lines) and positive predictive value (PPV) (solid orange lines) with 95% CIs (dotted lines) based on sensitivity and specificity of the multigene GC test established in this study for Bethesda III and IV cytology thyroid nodules. NIFTP indicates noninvasive follicular thyroid neoplasm with papillary-like nuclear features.