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非小细胞肺癌患者血清中EGFR、Her-2、Survivin和CyclinB1自身抗体的表位研究
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摘要
目的
     自身抗体作为新的肿瘤标志物在肺癌的早期诊断和预后评价中可能发挥重要作用,本研究利用多肽阵列研究非小细胞肺癌患者血清中EGFR、Her-2、Survivin和CyclinB1自身抗体识别的抗原表位,筛选抗原表位中的高频位点,通过分析高频位点在蛋白质功能结构域的空间分布,探索EGFR、Her-2、Survivin和CyclinB1四种自身抗体在非小细胞肺癌中发挥的作用。
     方法
     使用intavis公司ASP SL多肽阵列合成仪合成EGFR、Her-2、Survivin和CyclinB1四种多肽阵列,分别利用EGFR、Her-2、Survivin和CyclinB1四种多肽阵列研究50例非小细胞肺癌患者血清、30例健康对照者混合血清和30例肺良性疾病患者混合血清中EGFR、Her-2、Survivin和CyclinB1自身抗体识别的抗原表位,并筛选抗原表位中的高频位点,通过比对高频位点和相应蛋白质的氨基酸序列,确定EGFR、Her-2、Survivin和CyclinB1四种自身抗体所识别的高频位点在相应蛋白质中的空间位置分布。
     结果
     使用intavis公司ASP SL多肽阵列合成仪合成EGFR、Her-2、Survivin和CyclinB1四种多肽阵列。多肽阵列检测结果发现在健康对照者混合血清和肺良性疾病患者混合血清中均不存在EGFR、Her-2、Survivin和CyclinB1四种自身抗体。而在50例非小细胞肺癌患者中发现有10例非小细胞肺癌患者血清中存在EGFR自身抗体,有9例非小细胞肺癌患者血清中存在Her-2自身抗体,有8例非小细胞肺癌患者血清中存在Survivin自身抗体,有8例非小细胞肺癌患者血清中存在CyclinB1自身抗体.,并且发现这四种自身抗体在某些肺癌患者血清中有共存的现象。通过表位分析发现EGFR、Her-2、Survivin和CyclinB1四种自身抗体识别多肽阵列上某些位点的频率明显高于其它位点,本研究分别发现了四种自身抗体所识别的高频位点。通过比对高频位点和相应蛋白质的氨基酸序列,确定了EGFR、Her-2、Survivin和CyclinB1四种自身抗体所识别的高频位点在相应蛋白质中的空间位置分布。高频位点和高频位点空间位置分布的发现为进一步研究EGFR、Her-2、Survivin和CyclinB四种自身抗体的功能提供了新的线索。
     结论
     通过表位研究,发现EGFR自身抗体识别的4个高频位点都位于EGFR蛋白保外区的L2结构域,L2结构域是EGFR蛋白的重要功能结构域,参与EGFR与其配体的相互识别,因而推测EGFR自身抗体可能会影响EGFR信号通路的功能;Her-2自身抗体识别的3个高频位点,2个位于Her-2蛋白保外区的L1结构域,1个位于Her-2蛋白保外区的L2结构域,由于Her-2没有配体,因而Her-2自身抗体的功能还需要进一步的研究;Survivin自身抗体识别的4个高频位点都位于Survivin蛋白的BIR结构域,BIR结构域是Survivin发挥凋亡抑制功能的重要功能结构域,因而推测Survivin自身抗体可能会促进肺癌细胞的凋亡;CyclinB1自身抗体识别的2个高频位点都紧邻CyclinB1蛋白的CRS结构域的N端,CRS结构域控制CyclinB1蛋白的亚细胞定位,使其发挥不同的功能,因而推测CyclinB1自身抗体可能会影响肺癌细胞的细胞周期。
Objective
     Autoantibodies as new tumor markers may play an important role in the early diagnosis and evaluating the prognosis of lung cancer patients.In this study, we map the epitopes of autoantibodies against EGFR, Her-2, Survivin and CyclinB1 in sera of non-small cell lung cancer patients with peptide array and screen the epitopes with high frequency. Through matching the sequence between epitopes with high frequency and the 4 kinds of protein to discover the structure distribution of these epitopes.
     Method
     4 kinds of peptide array which covered all the peptides in the 4 peptide libraries were synthesized by a synthesizer(ASP SL).Mapped the epitopes of autoantibodies against EGFR, Her-2, Survivin and CyclinB1 in serum of 50 NSCLC patients,. Screened the epitopes which were recognized by the 4 kinds of autoantibodies with high frequency. Through matching the sequence between epitopes with high frequency and the 4 kinds of protein to DISCOVER the structure distribution of these epitopes.
     Result
     4 kinds of peptide array were synthesized by a synthesizer (ASP SL). There were no the 4 kinds of autoantibodies in the mixed-serum of healthy objectives and in the mixed-serum of pulmonary tuberculosis patients. 10 of 50 NSCLC patients were found to have EGFR autoantibodies; 9 of 50 NSCLC patients were found to have Her-2 autoantibodies; 8 of 50 NSCLC patients were found to have survivin autoantibodies; 8 of 50 NSCLC patients were found to have CyclinB1 autoantibodies. Serums of A006,A022,A094,A124 had all 4 kinds of autoantibodies against EGFR Her-2 survivin and CyclinB1.Through scanning the epitopes, we found the epitopes with high frequency of the 4 kinds of autoantibodies. Discovered the structure distribution of these epitopes with high frequency.
     Conclusion
     Through epitope scanning , we found the epitopes with high frequency of the 4 kinds of autoantibodies. Through matching the sequence between epitopes with high frequency and the 4 kinds of protein we discover the structure distribution of these epitopes with high frequency. The discover of the epitopes with high frequency and the address of the the epitopes with high frequency will offer new clues for the further research of the 4 kinds autoantibodies.
引文
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