[Detection and identification of specific serum biomarkers in papillary thyroid cancer].
OBJECTIVE
To detect and identify the potential specific serum biomarkers for diagnosis of papillary thyroid cancer.


METHODS
Samples of 35 patients with papillary thyroid carcinoma, 40 patients with benign thyroid nodule and 34 healthy individuals were analyzed using the SELDI-TOF ProteinChip System and bioinfomation technology to find the differential peaks which were separated by HPLC and then further analyzed by LC-MS/MS. The protein sequences were analyzed by SEQUEST software and searched in Bioworks database.


RESULTS
The top six mass-to-charge ratio (M/Z) peaks with the smallest P value were 6651, 6452, 7653, 7932, 15 106 and 15 848 Da, respectively. The 6651 and 6452 Da proteins were weakly expressed in papillary thyroid carcinoma but highly expressed in benign thyroid nodules and healthy individuals. The differences had statistical significance (P < 0.01). The 7653, 7932, 15 106, 15 848 Da proteins were highly expressed in papillary thyroid carcinoma but weakly expressed in benign thyroid nodules and healthy individuals. The differences were statistically significant (P < 0.01). Combination of these six proteins, using the method of leave-one-out to make crossing detection, the specificity of discriminating papillary thyroid carcinoma and non-cancer was 88.0%, and its sensitivity was 92.5%. The 6651 and 6452 Da proteins were identified as apolipoprotein C-I and apolipoprotein C-III, respectively. The 7653 and 15 106 Da proteins were identified as the same protein-alpha-globin, and the 7932 and 15,848 Da proteins were identified as the same protein-beta-globin.


CONCLUSIONS
The detection of differentially expressed apolipoprotein C-I, apolipoprotein C-III, alpha-globin, and beta-globin may have utility for diagnosis of papillary thyroid carcinoma and are worthy of further investigation.
Wang
Jia-xiang
JX
Department of Surgery, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China. wjiaxiang@zzu.edu.cn
Dong
Rui
R
Liu
Qiu-liang
QL
Yang
Shao-bo
SB
Fan
Yu-xia
YX
Zhang
Qian
Q
Yang
Fu-quan
FQ
Wu
Peng
P
Yu
Jie-kai
JK
Zheng
Shu
S
D000328:Adult; D053302:Apolipoprotein C-I / Q000097:blood*; D053305:Apolipoprotein C-III / Q000097:blood*; D014408:Biomarkers, Tumor / Q000097:blood*; D002291:Carcinoma, Papillary / Q000097:blood* / Q000175:diagnosis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D040081:Protein Array Analysis; D040901:Proteomics; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D013964:Thyroid Neoplasms / Q000097:blood* / Q000175:diagnosis; D055542:alpha-Globins / Q000378:metabolism; D055544:beta-Globins / Q000378:metabolism
D053302:Apolipoprotein C-I; D053305:Apolipoprotein C-III; D014408:Biomarkers, Tumor; D055542:alpha-Globins; D055544:beta-Globins