A new method for screening antibodies in serumPARSE
Recently, researchers from the Department of Immunology of the Peking University Medical Department and the Baylor College of Medicine in the United States have made important achievements in screening tumor-specific antigens. The latest representative research paper was published online in Cancer Research recently.
Tumor-specific antigen (Tumor-specific antigen, TSA) has the characteristics of low expression in normal tissues and high expression in tumor tissues, which is critical for the early diagnosis of tumors and tumor immunotherapy. Some tumor-specific antigens have been shown to be effective in inducing immune responses in vivo, and have important value in the development of tumor vaccines.
Traditional methods for screening tumor-specific antigens include inhibitory subtractive hybridization (SSH) and serological analysis of recombinant cDNA expression libraries (SEREX), etc. The experimental period is longer and the cost is higher. The research team first used bioinformatics strategies to screen for tumor-specific antigens, and developed a unique algorithm HEPA (heterogeneous expression profile analysis) by analyzing the clinically recognized characteristics of tumor-specific antigen expression profiles. The highly expressed genes in the tumor were screened and verified by experimental methods, and 19 tumor-specific antigens were initially obtained. The researchers then developed a new method for screening antibodies in serum, PARSE (Protein A / G based reverse serum ELISA), to detect autospecific antibodies against tumor-specific antigens in the serum of tumor patients. Through the PARSE method, the researchers found that in the serum of lung cancer patients from 4 to 11, there are self-specific antibodies against four new tumor antigens, which are rare in the serum of healthy people. In the serum of two groups of independent lung cancer patients, the area under the combined ROC curve of the four self-specific antibodies was more than 0.71, suggesting that they can be used as a joint marker for the diagnosis of lung cancer.
This study provides a complete set of ideas from the analysis of the characteristics of tumor-specific antigen expression profiles, the development of informatic algorithms to quickly screen for tumor-specific antigens, to the verification of expression profiles, to detect the positive rate of humoral immune response in tumor patients, and to the combined diagnosis of tumor markers It has important reference value for the early diagnosis of tumors and the development of tumor vaccines. (Bioon.com)
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