Literature DB >> 24748129

Significance of allelic percentage of BRAF c.1799T > A (V600E) mutation in papillary thyroid carcinoma.

Shih-Ping Cheng1, Yi-Chiung Hsu, Chien-Liang Liu, Tsang-Pai Liu, Ming-Nan Chien, Tao-Yeuan Wang, Jie-Jen Lee.   

Abstract

BACKGROUND: Somatic BRAF mutation is frequently observed in papillary thyroid carcinoma (PTC). Recent evidence suggests that PTCs are heterogeneous tumors containing a subclonal or oligoclonal occurrence of BRAF mutation. Conflicting results have been reported concerning the prognostic significance of the mutant allele frequency. Our present aim was to investigate the association between the percentage of BRAF c.1799T > A (p.Val600Glu) alleles and clinicopathological parameters in PTC.
METHODS: Genomic DNA was extracted from fresh-frozen specimens obtained from 50 PTC patients undergoing total thyroidectomy. The BRAF mutation status was determined by Sanger sequencing. The percentage of mutant BRAF alleles was quantified by mass spectrometric genotyping, pyrosequencing, and competitive allele-specific TaqMan PCR (castPCR).
RESULTS: Positive rate of BRAF mutation was 72 % by Sanger sequencing, 82 % by mass spectrometric genotying, and 84 % by pyrosequencing or castPCR. The average percentage of mutant BRAF alleles was 22.5, 31, and 30.7 %, respectively. There was a good correlation among three quantification methods (Spearman's rho = 0.87-0.97; p < 0.0001). The mutant allele frequency was significantly correlated with tumor size (rho = 0.47-0.52; p < 0.01) and extrathyroidal invasion. The frequency showed no difference in pathological lymph node metastasis.
CONCLUSIONS: The percentage of mutant BRAF alleles is positively associated with tumor burden and extrathyroidal invasion in PTC. Relatively good correlations exist among mass spectrometric genotyping, pyrosequencing, and castPCR in quantification of mutant BRAF allele frequency.

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Year:  2014        PMID: 24748129     DOI: 10.1245/s10434-014-3723-5

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  14 in total

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Review 2.  Values of molecular markers in the differential diagnosis of thyroid abnormalities.

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Journal:  J Cancer Res Clin Oncol       Date:  2016-12-22       Impact factor: 4.553

3.  A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.

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4.  Overexpression of Histone H3 Lysine 27 Trimethylation Is Associated with Aggressiveness and Dedifferentiation of Thyroid Cancer.

Authors:  Chia-Chi Tsai; Ming-Nan Chien; Yuan-Ching Chang; Jie-Jen Lee; Shuen-Han Dai; Shih-Ping Cheng
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5.  Quantitative analysis of the BRAF V600E mutation in circulating tumor-derived DNA in melanoma patients using competitive allele-specific TaqMan PCR.

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6.  Interaction of Age at Diagnosis with Transcriptional Profiling in Papillary Thyroid Cancer.

Authors:  Yi-Chiung Hsu; Chien-Liang Liu; Po-Sheng Yang; Chung-Hsin Tsai; Jie-Jen Lee; Shih-Ping Cheng
Journal:  World J Surg       Date:  2016-12       Impact factor: 3.352

7.  Real-Time PCR Cycle Threshold Values for the BRAFV600E Mutation in Papillary Thyroid Microcarcinoma May Be Associated With Central Lymph Node Metastasis: A Retrospective Study.

Authors:  Vivian Y Park; Eun-Kyung Kim; Hye Sun Lee; Hee Jung Moon; Jung Hyun Yoon; Jin Young Kwak
Journal:  Medicine (Baltimore)       Date:  2015-07       Impact factor: 1.889

8.  Significance of the BRAF mRNA Expression Level in Papillary Thyroid Carcinoma: An Analysis of The Cancer Genome Atlas Data.

Authors:  Young Jun Chai; Jin Wook Yi; Hyeon-Gun Jee; Young A Kim; Ju Han Kim; Mingzhao Xing; Kyu Eun Lee
Journal:  PLoS One       Date:  2016-07-13       Impact factor: 3.240

9.  Preoperative Factors Associated with Extrathyroidal Extension in Papillary Thyroid Cancer.

Authors:  Chi-Yu Kuo; Po-Sheng Yang; Ming-Nan Chien; Shih-Ping Cheng
Journal:  Eur Thyroid J       Date:  2020-04-14

10.  BRAF Testing in Multifocal Papillary Thyroid Carcinoma.

Authors:  Hillary Z Kimbrell; Andrew B Sholl; Swarnamala Ratnayaka; Shanker Japa; Michelle Lacey; Gandahari Carpio; Parisha Bhatia; Emad Kandil
Journal:  Biomed Res Int       Date:  2015-09-13       Impact factor: 3.411

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