运用基质辅助激光解吸电离飞行时间质谱技术建立鼻咽癌特异血清多肽谱诊断模型

目的 探讨鼻咽癌患者与正常健康者血清蛋白谱的差异,建立特异的鼻咽癌血清多肽谱诊断模型.方法 收集治疗前的鼻咽癌患者和正常健康对照者的血清标本,通过特异的液体磁珠分选后,进行基质辅助激光解吸电离飞行时间质谱技术(MALDI-TOF MS)分析,得到鼻咽癌患者的血清多肽谱.采用专用的生物信息学分析软件ClinProtTM进行差异分析,运用遗传算法,建立鼻咽癌的血清多肽谱诊断模型.通过盲法检验模型的灵敏度和特异度.结果 检测出鼻咽癌患者与正常健康者的差异蛋白峰有99个,选取两组间差异有统计学意义的、相对分子质量为808.99、834.61、3954.82和8141.88的蛋白峰,建立鼻咽癌诊断模型,该模型鼻咽癌的识别率为90.0%,预测能力为84.3%,盲法榆验模型的灵敏度为80.0%,特异度为64.0%.结论 鼻咽癌患者与正常对照者的血清间存在蛋白表达的差异,建立的特异的血清多肽谱诊断模型在鼻咽癌的诊断中有一定的应用前景,为寻找特异的鼻咽癌血清肿瘤标记物提供了一定的依据.

Abstract：

Objective To determine the specific serum peptide profile by comparing the serum differences between nasopharyngeal carcinoma patients (NPC) and normal control subjects, and to provide a diagnostic model of nasopharyngeal carcinoma. Methods Pre-treatment serum samples of NPC and normal control subjects were collected and assayed by MALDI-TOF MS analysis. The peptides were extracted with magnetic beads coated with WCX. Mass spectrographic data were analyzed with ClinProtTM software. The specific serum peptide model of NPC was established by using genetic algorithms. The sensitivity and specificity of model were tested by blind testing. Results The serum peptidome patterns of nasopharyngeal carcinoma was obtained. Differential expression of 99 peptide peaks was deteced, and the 808.99 Da,834.61 Da, 3954.82 Da, 8141.88 Da peptide peaks showing statistically significant differences between the two groups, were used to establish the diagnostic model for nasopharyngeal cancer. The recognition rate and predictive power of the model were 90.0% and 84.3%, respectively. The sensitivity and specificity of the model were 80. 0% and 64. 0% determined by blind testing, respectively. Conclusions Significant differences of serum peptide peaks are detected between NPC and normal control groups. The established specific serum peptide model may have certain application in the diagnosis of nasopharyngeal carcinoma, and provides the basis for discovering specific tumor markers of nasopharyngeal carcinoma.

Establishment of a specific serum proteomic profile model of nasopharyngeal carcinoma by MALDI-TOF MS

Objective To determine the specific serum peptide profile by comparing the serum differences between nasopharyngeal carcinoma patients (NPC) and normal control subjects, and to provide a diagnostic model of nasopharyngeal carcinoma. Methods Pre-treatment serum samples of NPC and normal control subjects were collected and assayed by MALDI-TOF MS analysis. The peptides were extracted with magnetic beads coated with WCX. Mass spectrographic data were analyzed with ClinProtTM software. The specific serum peptide model of NPC was established by using genetic algorithms. The sensitivity and specificity of model were tested by blind testing. Results The serum peptidome patterns of nasopharyngeal carcinoma was obtained. Differential expression of 99 peptide peaks was deteced, and the 808.99 Da,834.61 Da, 3954.82 Da, 8141.88 Da peptide peaks showing statistically significant differences between the two groups, were used to establish the diagnostic model for nasopharyngeal cancer. The recognition rate and predictive power of the model were 90.0% and 84.3%, respectively. The sensitivity and specificity of the model were 80. 0% and 64. 0% determined by blind testing, respectively. Conclusions Significant differences of serum peptide peaks are detected between NPC and normal control groups. The established specific serum peptide model may have certain application in the diagnosis of nasopharyngeal carcinoma, and provides the basis for discovering specific tumor markers of nasopharyngeal carcinoma.