Application of SELDI proteomic patterns in serological diagnosis of breast cancer / 肿瘤研究与临床

ABSTRACT

Objective To explore the application of serum SELDI proteomic patterns to distinguish breast cancer patients from healthy individuals.Methods All serum samples from 101 breast cancer patients and 45 healthy individuals were analyzed by surface-enhanced laser desorption/ionization time-of-fight mass spectrometry (SELDI-TOF-MS).The spectra were generated on weak cation exchange (WCX2) chips,and protein peaks clustering and classification analysis were made using Biomaker Wizard software and Biomarker Pattern software (BPS).Then the pattern was evaluated by blinded test.Results 49 different proteins were found to have statistically differential expression levels between breast cancer and normal control sera (P ＜ 0.05).A diagnostic model consisting of three protein peaks (M/Z 5627,8124 and 2864) could do the best in the diagnosis between breast cancer and healthy individual.When the diagnostic model was tested with the blinded test set,it yielded a positive value of 95 ％ (139/146),a sensitivity of 97 ％ (98/101) and a specificity of 91％ (41/45).Conclusion These results suggested that serum SELDI protein profiling can distinguish breast cancer patients from normal subjects with relatively high sensitivity and specificity.SELDI-TOF-MS plays a valuable role in the diagnosis of breast cancer and the discovery of new tumor-specific protein biomarkers.