MALDI蛋白指纹图谱筛选NSCLC患者化疗耐药相关血清标志物Identification of serum biomarkers for predicting chemotherapy resistance in NSCLC by MALDI-TOF-MS
杨邵瑜,陈雪琴,余捷凯,马胜林,潘月龙
摘要(Abstract):
目的通过检测吉西他滨联合顺铂方案化疗敏感及耐药的晚期非小细胞肺癌患者治疗前血清蛋白质谱的差异,寻找可能的化疗耐药血清预测因子。方法收集非小细胞肺癌(non-small cell lung cancer,NSCLC)Ⅳ期患者治疗前血清,予以吉西他滨联合顺铂化疗,每2疗程后评估疗效。基质辅助激光解析电离化飞行时间质谱(matrix-assisted laser desorption/ionization-time of flight-mass spectrometry,MALDI-TOF-MS)检测血清蛋白,生物信息学分析找出差异蛋白峰,对筛选的差异蛋白峰进一步用遗传算法结合支持向量机模型的方法筛选最佳模型。结果收集25例晚期NSCLC患者,14例部分缓解(partial response,PR)进入化疗敏感组,2例疾病稳定(stable disease,SD)和9例出现疾病进展(progression disease,PD)进入化疗耐药组。化疗敏感组与耐药组出现10个明显差异蛋白质峰(P<0.05)。其中筛选得到4 978 Da、2 999 Da、4 996 Da、2 627 Da、4 188 Da、1 458 Da及1 984 Da 7个蛋白峰组成的最佳模型。结论 MALDI-TOF-MS技术检测得到血清差异蛋白模型可用于预测吉西他滨联合铂类二药化疗疗效。但需进一步扩大样本量以完善及验证疗效预测模型。
关键词(KeyWords): 癌,非小细胞肺/药物疗法;抗肿瘤联合化疗方案;光谱法,质量,基质辅助激光解吸电离;抗肿瘤药/治疗应用;蛋白质组学;治疗结果
基金项目(Foundation): 浙江省自然科学基金重点项目(LZ13H160001);; 杭州市卫生科技计划一般项目(2012A007)
作者(Author): 杨邵瑜,陈雪琴,余捷凯,马胜林,潘月龙
DOI: 10.13267/j.cnki.syzlzz.2014.06.007
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