TP53及KRAS突變對晚期肺腺癌患者抗PD-1免疫治療潛在的預(yù)測價值
[Abstract]:Background Immunotherapy of programmed death factor 1 (PD-1) and its ligand 1 (PD-L1) has made rapid progress in non-small cell lung cancer (NSCLC) in recent years. Although the efficacy of immunotherapy is remarkable, only a small number of patients can benefit from it. How to select effective biomarkers to select potential beneficiaries is the main problem. It is gratifying to note that recent studies have found that the defect of mismatch repair of tumor mutation load, the number of tumor infiltrating lymphocytes and the expression of PD-L1 in tumor / immune cells can effectively predict the efficacy of PD-1 inhibitors. Moreover, these factors also have a mutual influence on each other. These findings raise another question: is there any other biomarker that can affect two or more of these predictive factors at the same time to achieve greater predictive value? Methods by using the common database (TCGA,GEO and broad) as the exploration set and the second generation sequencing data of our center as the validation set, we systematically analyzed the genome, transcriptome and proteome. The relationship between the efficacy of clinical immunotherapy and gene mutation was analyzed from the results of previous clinical trials (MSKCC) and (GLCI) immunotherapy data of our center. Immunohistochemistry and sanger sequencing were used for the detection of related molecules. The related signal pathways were analyzed by gene enrichment method (GSEA). Results in this study, the correlation between common gene mutation (TP53/KRAS/EGFR/STK11) and immunological checkpoint protein (PD-L1) and tumor infiltrating lymphocytes in tumor immune microenvironment was analyzed by using TCGA and GEO database. We found that TP53 mutation and TP53/KRAS double mutation promoted the expression of PD-L1, tumor lymphocyte infiltration and activation of effector T cell -IFN- 緯 signaling pathway in lung adenocarcinoma. The effect of the above mutation on tumor immune microenvironment was preliminarily established. And then we analyze the mutation load and the mutation spectrum of the tumor. From the exploration set (TGCA and Broad) of the common database to the verification set (GLCI) of the second generation sequencing of our center, it was preliminarily proved that the mutations of TP53 and KRAS were correlated with the increase of mutation load and the frequency of base transversion in lung adenocarcinoma. At the same time, gene enrichment analysis showed that TP53 and KRAS mutations increased the risk of tumor gene mutation by interfering with the process of tumor cell cycle regulation, such as DNA replication and DNA damage repair. In view of the above discovery of molecular mechanism, it is suggested that TP53 and KRAS mutations may be predictive markers of immunotherapy for lung adenocarcinoma. In order to prove the above theoretical inference, We first demonstrated that TP53 and KRAS mutations, especially in patients with double TP53/KRAS mutations, were more effective than wild-type patients by using the previously published information of patients with immunotherapy clinical trials in the public database, and the results showed that TP53 and KRAS mutations, especially in patients with double TP53/KRAS mutations, were significantly better than those in wild type patients. Furthermore, we analyzed the clinical information of (GLCI) immunotherapy patients in the real world. The results also indicated that TP53 and KRAS mutation patients had better immunotherapy effect. Conclusion our study demonstrated for the first time the effects of TP53 and KRAS mutations on PD-L1 expression, tumor lymphocyte infiltration and tumor mutation load in lung adenocarcinoma. Furthermore, the predictive value of TP53 and KRAS mutations, especially TP53/KRAS double mutations, for the increased sensitivity of PD-1 monoclonal antibody to immunotherapy of lung adenocarcinoma was preliminarily established from clinical immunotherapy. These findings provide a new idea for screening effective biomarkers for immunotherapy in the future.
【學(xué)位授予單位】:南方醫(yī)科大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2017
【分類號】:R734.2
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