Tumor Biology

, Volume 37, Issue 6, pp 7797–7808 | Cite as

Predictive factors for recurrence of differentiated thyroid cancer in patients under 21 years of age and a meta-analysis of the current literature

  • Ning Qu
  • Ling Zhang
  • Zhong-wu Lu
  • Qing-hai Ji
  • Shu-wen Yang
  • Wen-jun Wei
  • Yan Zhang
Research Article


The influence of predictors for recurrence in relation to recurrence-free survival was analyzed retrospectively in differentiated thyroid cancer (DTC) patients under 21 years of age who underwent primary surgical treatment and who had a pathological diagnosis of DTC between 1983 and 2012 at Fudan University Cancer Hospital. Recurrences were retrospectively analyzed using a Cox regression model for the hazard ratio (HR) according to the clinicopathological features. A meta-analysis was performed with respect to the potential predictors for recurrence from current related studies. In the present study, there were 146 young patients aged from 7 to 20 years, with a female/male ratio of 2.65/1. Female gender was the only factor significantly associated with recurrence according to univariate (HR = 2.812, P = 0.037) and multivariate (HR = 4.107, P = 0.024) Cox regression analyses. Meta-analyses revealed that multifocality (HR = 1.91, P < 0.05) and presentation at diagnosis (HR = 1.39, P < 0.05) were highly associated with recurrence in young DTC patients. However, female gender and other factors, such as age (≤10 vs. 11–20 years), PTC (PTC vs. FTC), extrathyroidal extension, lymph node metastasis, total thyroidectomy (total vs. less than total), radioiodine therapy, and radiation history, were not associated with recurrence in young DTC patients. In conclusion, multifocality and presentation at diagnosis are strong predictive factors of recurrence in relation to recurrence-free survival. We recommend studies with larger sample sizes and longer follow-up to verify the influence of predictors for disease recurrence in young patients.


Differentiated thyroid cancer (DTC) Young Recurrence Meta-analysis 



This research is supported by grants from the National Natural Science Foundation of China (81272934) and the Natural Science Foundation of Shanghai (12ZR1406800).

Conflicts of interest



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Copyright information

© International Society of Oncology and BioMarkers (ISOBM) 2015

Authors and Affiliations

  • Ning Qu
    • 1
    • 2
  • Ling Zhang
    • 1
    • 2
  • Zhong-wu Lu
    • 1
    • 2
  • Qing-hai Ji
    • 1
    • 2
  • Shu-wen Yang
    • 1
    • 2
  • Wen-jun Wei
    • 1
    • 2
  • Yan Zhang
    • 1
    • 2
  1. 1.Department of Head and Neck SurgeryFudan University Shanghai Cancer CenterShanghaiChina
  2. 2.Department of Oncology, Shanghai Medical CollegeFudan UniversityShanghaiChina

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