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Chinese Journal of Clinicians(Electronic Edition) ›› 2019, Vol. 13 ›› Issue (11): 832-836. doi: 10.3877/cma.j.issn.1674-0785.2019.11.007

Special Issue:

• Clinical Research • Previous Articles     Next Articles

Clinical and prognostic significance of mutant-allele tumor heterogeneity in thyroid papillary carcinoma

Siyuan Chen1, Xiarong Hu1, Chuping Xie1,()   

  1. 1. The First Department of General Surgery, Dongguan People's Hospital, Dongguan 523059, China
  • Received:2019-04-06 Online:2019-06-01 Published:2019-06-01
  • Contact: Chuping Xie
  • About author:
    Corresponding author: Xie Chuping, Email:

Abstract:

Objective

To investigate the clinical significance of mutant-allele tumor heterogeneity (MATH) levels in papillary thyroid carcinoma (PTC).

Methods

The sequencing data and clinical data of PTC were downloaded from the public data sets of The Cancer Genome Atlas (TCGA) and preprocessed. The correlation between MATH and clinicopathological features of PTC was analyzed. Kaplan-Meier survival analysis was used to verify the prognostic value of MATH in patients with PTC.

Results

MATH scores ranged from 2.57 to 93.72 in PTC patients, with an average of 29.45±16.19. The patients with an MATH score ≥ 29.45 were assigned to a high-MATH group, and those with an MATH score <29.45 were assigned to a low-MATH group. There was no significant difference in age, gender, tumor stage and BRAF genotype between the high-MATH group and low-MATH group (P>0.05). MATH was not a significant predictor of overall survival (OS) in patients with PTC (P=0.4595). Whereas in PTC patients with BRAF mutation, the OS in patients with a high MATH score was significantly worse than that in patients with a low MATH score (P=0.0252). In PTC patients with wild-type BRAF, the OS was significantly better in patients with a high MATH score than in those with a low MATH (P=0.0495).

Conclusion

MATH can predict the prognosis of PTC patients with wild type or mutant BRAF, which can be used to guide clinical treatment.

Key words: Mutation, Alleles, Tumor heterogeneity, Thyroid neoplasms, BRAF genotype, Overall survival

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