基于SELDI-TOF蛋白质谱的三阴性乳腺癌预后分析  

Prognosis Analysis of Triple Negative Breast Cancer Based on SELDI-TOF Protein Mass Spectrometry

作　　者：余庆邦 范明[1] 郑智国[2] 许沈华[2] 陈占红[2] 王晓稼[2] 厉力华[1] 

机构地区：[1]杭州电子科技大学生命信息与仪器工程学院,浙江杭州310018 [2]浙江省肿瘤研究所,浙江杭州310022

出　　处：《航天医学与医学工程》2015年第4期275-279,共5页Space Medicine & Medical Engineering

基　　金：国家自然科学基金资助项目(61271063);国家重点基础研究发展计划资助(2013CB329502);浙江省自然科学基金LQ14F010011);浙江省科技厅项目(2012C13019-1;2013C332-05)

摘　　要：目的使用SELDI-TOF蛋白质质谱,分析和寻找影响三阴性乳腺癌预后的新指标。方法采集浙江省肿瘤医院提供的三阴性乳腺癌样本51例,每例样本均包含病理及质谱数据。将病例数据分为死亡或复发组与无复发组,并统计检验两组间病理因素有无显著差异。首先统计分析两组样本的蛋白质质谱数据,检验样本中具有显著差异的蛋白质峰;然后对具有显著差异的蛋白质峰所在的特征位点使用SVM分类器分析三阴性乳腺癌的预后。结果统计结果显示,病理因素很难作为精确预测三阴性乳腺癌预后的因素。死亡或复发样本组与无复发组蛋白质质谱存在显著差异。在51例三阴性乳腺癌蛋白质质谱中,发现了7个蛋白质峰P值小于0.01,联合7个峰分类,分类率达90.20%,敏感性达82.35%,特异性达94.12%。结论 SELDI-TOF蛋白质质谱数据分析能够较好地区分三阴性乳腺癌死亡或复发样本与无复发样本,挑选出的蛋白质峰可以为三阴性乳腺癌的预后判断提供新的有价值的标志物。Objective To analyze and explore new prognosis factors for triple negative breast cancer with SEL- DI-TOF protein mass spectrometry. Methods Fifty-one cases of triple negative breast cancer patients including the pathological factors and mass spectrum data were collected from Zhejiang Cancer Hospital. The samples were divided into the death/recurrence group and the no recurrence group, and statistical analysis for differences of pathological factors between the two groups was compare the protein mass peaks between the two groups. conducted. Firstly, statistical test were performed to Then, the features of significant peaks were selected to analyze the prognosis of the two groups with SVM classifier. Results The statistical results showed that the pathological factors could hardly predict the prognosis risks of triple negative breast cancer. There was a significant difference in the protein mass spectrometry between the death/recurrence group and the no recurrence group. The results showed seven peaks with P 〈 0.01. When the seven peaks were combined to classify the two groups, high classification accuracy, sensitivity and specificity were obtained which were 90. 2%, 82.35%, and 94.12% respectively. Conclusion The two groups can be well discriminated by SELDI-TOF protein mass spectrometry. The protein mass peaks selected may be potential biomarkers to predict the progno- sis risks for the triple negative breast cancer.

关 键 词：蛋白质质谱 三阴性乳腺癌 病理因素 预后因素 

分 类 号：R446[医药卫生—诊断学]