[Application of serum protein fingerprint model and support vector machine in diagnosis of thyroid cancer].
OBJECTIVE
To detect new biomarkers and to establish a serum protein fingerprint model for early detection and diagnosis of thyroid cancer.


METHODS
The serum samples of 40 thyroid cancer patients, 9 thyroid adenoma patient, and 32 healthy individuals were randomly divided into 2 sets: training set (n = 66, including 32 thyroid cancer patients, 9 thyroid adenoma patients, and 25 healthy individuals) and test set (n = 15). The serum protein were bound to WCX2 chip and tested by surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS). The data of spectra were analyzed by support vector machine (SVM) to establish a diagnostic model.


RESULTS
The detective model combined with 3 biomarkers could differentiate the serum of thyroid cancer from that of healthy individual with a specificity of 86% and a sensitivity of 100%. The diagnostic model combined with 3 biomarkers could differentiate thyroid cancer from thyroid adenoma with a specificity of 88.9% and a sensitivity of 96.9%. The positive predictive value to differentiate papillary thyroid carcinoma from the thyroid cancer of other types was 97%, and the positive predictive value of thyroid carcinoma of other pathological types was 71%.


CONCLUSIONS
The combination of SELDI with bioinformatics tools is a novel, effective, and highly specific and sensitive method for thyroid cancer detection and diagnosis.
Wang
Jia-xiang
JX
Department of Surgery, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China. wjiaxiang@zzu.edu.cn
Wang
Li
L
Fan
Ying-zhong
YZ
Liu
Qiu-liang
QL
Zhang
Jiao
J
Yu
Jie-kai
JK
Zheng
Shu
S
D014408:Biomarkers, Tumor / Q000097:blood*; D001798:Blood Proteins / Q000032:analysis*; D006801:Humans; D010449:Peptide Mapping / Q000379:methods*; D020543:Proteome / Q000032:analysis; D040901:Proteomics / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods; D013964:Thyroid Neoplasms / Q000097:blood / Q000175:diagnosis*
D014408:Biomarkers, Tumor; D001798:Blood Proteins; D020543:Proteome