Application of surface-enhanced laser desorption/ionization time-of-flight-based serum proteomic array technique for the early diagnosis of prostate cancer
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Published on: December 19, 2025
Yu-Zhuo Pan1, Xue-Yuan Xiao, Dan Zhao
1Research Center of Prostate Diseases, Department of Reproductive Pathophysiology, School of Basic Medicine, Jilin University, Changchun, China.
Aim:
To identify the serum biomarkers of prostate cancer (PCa) by protein chip and bioinformatics.
Methods:
Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). The data of spectra were analyzed using two bioinformatics tools.
Results:
Eighteen serum differential proteins were identified in the PCa group compared with the control group (P < 0.01). There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0% and a specificity of 96.7% for the study group were obtained by comparing the PCa and control groups.
Conclusion:
We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa.
