新型生物标志物可能有助于预测甲状腺乳头状癌的预后。
Novel biomarker may contribute to predicting papillary thyroid cancer outcomes.
作者信息
Jonklaas J, Murthy Srk, Liu D, Klubo-Gwiezdzinska J, Krishnan J, Burman K D, Boyle L, Carrol N, Felger E, Loh Y P
机构信息
Division of Endocrinology, Georgetown University, Washington, DC 20007, USA.
Section on Cellular Neurobiology, Eunice Kennedy Shriver National Institute of Child Health & Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
出版信息
Future Sci OA. 2017 Sep 22;4(1):FSO249. doi: 10.4155/fsoa-2017-0087. eCollection 2018 Jan.
AIM
To investigate biomarkers for predicting papillary thyroid cancer outcomes.
MATERIALS & METHODS: The expression of biomarkers ( and ) was studied in a prospective cohort of patients with papillary thyroid cancer. Three outcomes of initial metastases, baseline status and longitudinal status were analyzed and correlated with the biomarkers.
RESULTS
provided the best prediction of initial metastasis (sensitivity: 72%; specificity: 54%). had the highest accuracy for predicting longitudinal status (sensitivity: 100%; specificity: 47%). The best performance for longitudinal status resulted from combining with American Thyroid Association risk stratification, with sensitivity and specificity of 88 and 73%, respectively.
CONCLUSION
has some prognostic significance in papillary thyroid cancer. Further validation studies in larger populations are warranted.
目的
研究用于预测甲状腺乳头状癌预后的生物标志物。
材料与方法
在一组甲状腺乳头状癌患者的前瞻性队列中研究生物标志物（和）的表达。分析了初始转移、基线状态和纵向状态这三种结果，并将其与生物标志物进行关联。
结果
对初始转移的预测效果最佳（敏感性：72%；特异性：54%）。对纵向状态的预测准确性最高（敏感性：100%；特异性：47%）。纵向状态的最佳预测效果是通过将与美国甲状腺协会风险分层相结合得到的，敏感性和特异性分别为88%和73%。
结论
在甲状腺乳头状癌中具有一定的预后意义。有必要在更大规模人群中进行进一步的验证研究。
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