Literature DB >> 32247769

Clinical performance of multiplatform mutation panel and microRNA risk classifier in indeterminate thyroid nodules.

J Woody Sistrunk1, Alexander Shifrin2, Marc Frager3, Ricardo H Bardales4, Johnson Thomas5, Norman Fishman6, Philip Goldberg7, Richard Guttler8, Edward Grant9.   

Abstract

INTRODUCTION: We evaluated the clinical performance of an expanded mutation panel in combination with microRNA classification (MPTX) for the management of indeterminate thyroid nodules.
MATERIALS AND METHODS: MPTX included testing of fine-needle aspirates from multiple centers with a combination of ThyGeNEXT mutation panel for strong and weak driver oncogenic changes and ThyraMIR microRNA risk classifier (both from Interpace Diagnostics; Pittsburgh, PA). MPTX test status (positive or negative) and MPTX clinical risk classifications (low, moderate, or high risk) were determined blind to patient outcomes. Surgical pathology and clinical follow-up records of patients from multiple centers were used to determine patient outcomes. MPTX performance was assessed by Kaplan Meier analysis for cancer-free survival of patients, with risk of malignancy determined by hazard ratio (HR).
RESULTS: Our study included 140 patients with AUS/FLUS or FN/SFN nodules, of which 13% had malignancy. MPTX negative test status and MPTX low risk results conferred a high probability (94%) that patients would remain cancer-free. MPTX positive test status (HR 11.2, P < 0.001) and MPTX moderate-risk results (HR 8.5, P = 0.001) were significant risk factors for malignancy, each conferring a 53% probability of malignancy. MPTX high-risk results elevated risk of malignancy even more so, conferring a 70% probability of malignancy (HR 38.5, P < 0.001).
CONCLUSIONS: MPTX test status accurately stratifies patients for risk of malignancy. Further classification using MPTX clinical risk categories enhances utility by accurately identifying patients at low, moderate, or high risk of malignancy at the low rate of malignancy encountered when clinically managing patients with indeterminate thyroid nodules.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cytology; Malignancy risk; Mutation; Patient outcomes; Thyroid nodules; microRNA classifier

Mesh:

Substances:

Year:  2020        PMID: 32247769     DOI: 10.1016/j.jasc.2020.02.002

Source DB:  PubMed          Journal:  J Am Soc Cytopathol        ISSN: 2213-2953


  4 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.  Thyroid Cancer Screening Using Tumor-Associated DN T Cells as Immunogenomic Markers.

Authors:  Shahnawaz Imam; Rodis D Paparodis; Shafiya Imtiaz Rafiqi; Sophia Ali; Azra Niaz; Abed Kanzy; Yara E Tovar; Mohammed A Madkhali; Ahmed Elsherif; Feras Khogeer; Zeeshan A Zahid; Haider Sarwar; Tamanna Karim; Nancy Salim; Juan C Jaume
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

3.  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

4.  Multiplatform molecular test performance in indeterminate thyroid nodules.

Authors:  Mark A Lupo; Ann E Walts; J Woody Sistrunk; Thomas J Giordano; Peter M Sadow; Nicole Massoll; Ryan Campbell; Sara A Jackson; Nicole Toney; Christina M Narick; Gyanendra Kumar; Alidad Mireskandari; Sydney D Finkelstein; Shikha Bose
Journal:  Diagn Cytopathol       Date:  2020-08-07       Impact factor: 1.582

  4 in total

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