title: [Detection and identification of specific serum biomarkers in papillary thyroid cancer].
abstract: 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.
authors.affiliation: Department of Surgery, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China. wjiaxiang@zzu.edu.cn
authors.forename: Jia-xiang
authors.initials: JX
authors.lastname: Wang
authors.forename: Rui
authors.initials: R
authors.lastname: Dong
authors.forename: Qiu-liang
authors.initials: QL
authors.lastname: Liu
authors.forename: Shao-bo
authors.initials: SB
authors.lastname: Yang
authors.forename: Yu-xia
authors.initials: YX
authors.lastname: Fan
authors.forename: Qian
authors.initials: Q
authors.lastname: Zhang
authors.forename: Fu-quan
authors.initials: FQ
authors.lastname: Yang
authors.forename: Peng
authors.initials: P
authors.lastname: Wu
authors.forename: Jie-kai
authors.initials: JK
authors.lastname: Yu
authors.forename: Shu
authors.initials: S
authors.lastname: Zheng
mesh_terms: 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
chemical_list: D053302:Apolipoprotein C-I; D053305:Apolipoprotein C-III; D014408:Biomarkers, Tumor; D055542:alpha-Globins; D055544:beta-Globins