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Molecular Cancer
Published in: Molecular Cancer 1/2009

Open Access 01-12-2009 | Research

Discovery and identification of potential biomarkers of papillary thyroid carcinoma

Authors: Yuxia Fan, Linan Shi, Qiuliang Liu, Rui Dong, Qian Zhang, Shaobo Yang, Yingzhong Fan, Heying Yang, Peng Wu, Jiekai Yu, Shu Zheng, Fuquan Yang, Jiaxiang Wang

Published in: Molecular Cancer | Issue 1/2009

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Abstract

Background

Thyroid carcinoma is the most common endocrine malignancy and a common cancer among the malignancies of head and neck. Noninvasive and convenient biomarkers for diagnosis of papillary thyroid carcinoma (PTC) as early as possible remain an urgent need. The aim of this study was to discover and identify potential protein biomarkers for PTC specifically.

Methods

Two hundred and twenty four (224) serum samples with 108 PTC and 116 controls were randomly divided into a training set and a blind testing set. Serum proteomic profiles were analyzed using SELDI-TOF-MS. Candidate biomarkers were purified by HPLC, identified by LC-MS/MS and validated using ProteinChip immunoassays.

Results

A total of 3 peaks (m/z with 9190, 6631 and 8697 Da) were screened out by support vector machine (SVM) to construct the classification model with high discriminatory power in the training set. The sensitivity and specificity of the model were 95.15% and 93.97% respectively in the blind testing set. The candidate biomarker with m/z of 9190 Da was found to be up-regulated in PTC patients, and was identified as haptoglobin alpha-1 chain. Another two candidate biomarkers (6631, 8697 Da) were found down-regulated in PTC and identified as apolipoprotein C-I and apolipoprotein C-III, respectively. In addition, the level of haptoglobin alpha-1 chain (9190 Da) progressively increased with the clinical stage I, II, III and IV, and the expression of apolipoprotein C-I and apolipoprotein C-III (6631, 8697 Da) gradually decreased in higher stages.

Conclusion

We have identified a set of biomarkers that could discriminate PTC from non-cancer controls. An efficient strategy, including SELDI-TOF-MS analysis, HPLC purification, MALDI-TOF-MS trace and LC-MS/MS identification, has been proved successful.
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Metadata
Title
Discovery and identification of potential biomarkers of papillary thyroid carcinoma
Authors
Yuxia Fan
Linan Shi
Qiuliang Liu
Rui Dong
Qian Zhang
Shaobo Yang
Yingzhong Fan
Heying Yang
Peng Wu
Jiekai Yu
Shu Zheng
Fuquan Yang
Jiaxiang Wang
Publication date
01-12-2009
Publisher
BioMed Central
Published in
Molecular Cancer / Issue 1/2009
Electronic ISSN: 1476-4598
DOI
https://doi.org/10.1186/1476-4598-8-79

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