Objective: To identify proteomic patterns in hepatic tissues for diagnosing early HBV related HCC.
Methods: Proteomic spectra were generated by two-dimensional gel electrophoresis (2-DE), A preliminary "raining" set of spectra derived from analysis of 14 cancer tissues and 14 non-cancer tissues, a proteomic patterns that completely discriminated cancer from non-cancer was identified. The discovered pattern was then used to classify an independent set of 48 masked samples: 24 from cancer tissues, and 24 from non-cancer tissues.
Results: The discriminatory pattern correctly identified all cancer tissues and non-cancer tissues in the masked set. This result yielded a sensitivity of 100%, specificity of 100%.
Conclusion: Further analysis on these proteins in the proteomic pattern will be helpful to screen tumor markers for HBV related HCC. These findings justify a prospective assessment of proteomic pattern technology as a screening tool for cancer in high-risk and general populations.