Tumor-associated antigens (TAA) have played a vital role in both diagnosis and treatment of human carcinomas, such as PSA in the diagnosis of prostate cancer and NY-ESO-1 in the treatment of liver cancer. Despite of this, the process of TAA identification has often been hampered by the complicated and laborsome lab procedures. Recently, immunoinformatics has emerged as an efficient way for TAA identification. Quite a few successful reports of novel tumor antigens identified through expression database mining can be found in the literature. Our lab has been working in this field for many years.