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Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study
BACKGROUND: Risk stratification for patients with differentiated thyroid cancer (DTC) is based primarily on pathologic tumor characteristics. Accurate preoperative prognostication could allow for more informed initial surgical recommendations, particularly among patients at a higher risk for distant...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113082/ https://www.ncbi.nlm.nih.gov/pubmed/33539547 http://dx.doi.org/10.1002/cncr.33421 |
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author | Yip, Linwah Gooding, William E. Nikitski, Alyaksandr Wald, Abigail I. Carty, Sally E. Karslioglu‐French, Esra Seethala, Raja R. Zandberg, Dan P. Ferris, Robert L. Nikiforova, Marina N. Nikiforov, Yuri E. |
author_facet | Yip, Linwah Gooding, William E. Nikitski, Alyaksandr Wald, Abigail I. Carty, Sally E. Karslioglu‐French, Esra Seethala, Raja R. Zandberg, Dan P. Ferris, Robert L. Nikiforova, Marina N. Nikiforov, Yuri E. |
author_sort | Yip, Linwah |
collection | PubMed |
description | BACKGROUND: Risk stratification for patients with differentiated thyroid cancer (DTC) is based primarily on pathologic tumor characteristics. Accurate preoperative prognostication could allow for more informed initial surgical recommendations, particularly among patients at a higher risk for distant metastasis (DM). The objective of this study was to characterize the genetic profile of DTC with DM and to validate a molecular‐based risk stratification. METHODS: A case‐control study design was used to analyze patients who had DTC with DM (n = 62) and a propensity matched cohort of patients who had DTC without DM after at least 5 years of follow‐up using the ThyroSeq version 3 targeted next‐generation sequencing assay. The results were classified into high‐risk, intermediate‐risk, and low‐risk of aggressive disease. RESULTS: Most patients who had DTC with DM (66%) had a late‐hit mutation in TERT, TP53, or PIK3CA. After propensity matching by age, tumor size, and sex, the high‐risk molecular profile had strong association with DM (high‐risk vs intermediate‐risk: odds ratio, 25.1; 95% CI, 3.07‐204.4; P < .001; high‐risk vs low‐risk: odds ratio, 122.5; 95% CI, 14.5‐1038.4; P < .001). Overall, molecular risk categories were associated with DM risk, with a concordance index of 0.836 (95% CI, 0.759‐0.913), which remained consistent after internal validation. Within the range of 5% to 10% of DM observed in DTC, the expected probability of DM would be 0.2% to 0.4% for the low‐risk molecular profile, 4.7% to 9.4% for the intermediate‐risk molecular profile, and 19.3% to 33.5% for the high‐risk molecular profile. CONCLUSIONS: In this matched case‐control study, genetic profiling using an available molecular assay provided accurate and robust risk stratification for DM in patients with DTC. The availability of preoperative prognostication may allow tailoring treatment for patients with DTC. |
format | Online Article Text |
id | pubmed-8113082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81130822021-06-01 Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study Yip, Linwah Gooding, William E. Nikitski, Alyaksandr Wald, Abigail I. Carty, Sally E. Karslioglu‐French, Esra Seethala, Raja R. Zandberg, Dan P. Ferris, Robert L. Nikiforova, Marina N. Nikiforov, Yuri E. Cancer Original Articles BACKGROUND: Risk stratification for patients with differentiated thyroid cancer (DTC) is based primarily on pathologic tumor characteristics. Accurate preoperative prognostication could allow for more informed initial surgical recommendations, particularly among patients at a higher risk for distant metastasis (DM). The objective of this study was to characterize the genetic profile of DTC with DM and to validate a molecular‐based risk stratification. METHODS: A case‐control study design was used to analyze patients who had DTC with DM (n = 62) and a propensity matched cohort of patients who had DTC without DM after at least 5 years of follow‐up using the ThyroSeq version 3 targeted next‐generation sequencing assay. The results were classified into high‐risk, intermediate‐risk, and low‐risk of aggressive disease. RESULTS: Most patients who had DTC with DM (66%) had a late‐hit mutation in TERT, TP53, or PIK3CA. After propensity matching by age, tumor size, and sex, the high‐risk molecular profile had strong association with DM (high‐risk vs intermediate‐risk: odds ratio, 25.1; 95% CI, 3.07‐204.4; P < .001; high‐risk vs low‐risk: odds ratio, 122.5; 95% CI, 14.5‐1038.4; P < .001). Overall, molecular risk categories were associated with DM risk, with a concordance index of 0.836 (95% CI, 0.759‐0.913), which remained consistent after internal validation. Within the range of 5% to 10% of DM observed in DTC, the expected probability of DM would be 0.2% to 0.4% for the low‐risk molecular profile, 4.7% to 9.4% for the intermediate‐risk molecular profile, and 19.3% to 33.5% for the high‐risk molecular profile. CONCLUSIONS: In this matched case‐control study, genetic profiling using an available molecular assay provided accurate and robust risk stratification for DM in patients with DTC. The availability of preoperative prognostication may allow tailoring treatment for patients with DTC. John Wiley and Sons Inc. 2021-02-04 2021-06-01 /pmc/articles/PMC8113082/ /pubmed/33539547 http://dx.doi.org/10.1002/cncr.33421 Text en © 2021 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Yip, Linwah Gooding, William E. Nikitski, Alyaksandr Wald, Abigail I. Carty, Sally E. Karslioglu‐French, Esra Seethala, Raja R. Zandberg, Dan P. Ferris, Robert L. Nikiforova, Marina N. Nikiforov, Yuri E. Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study |
title | Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study |
title_full | Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study |
title_fullStr | Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study |
title_full_unstemmed | Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study |
title_short | Risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: A matched case‐control study |
title_sort | risk assessment for distant metastasis in differentiated thyroid cancer using molecular profiling: a matched case‐control study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113082/ https://www.ncbi.nlm.nih.gov/pubmed/33539547 http://dx.doi.org/10.1002/cncr.33421 |
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