中华结直肠疾病电子杂志
中華結直腸疾病電子雜誌
중화결직장질병전자잡지
Chinese Journal of Colorectal Diseases
2013年
2期
68-71
,共4页
沈虹%袁瑛%李晶晶%房雪峰%谭纯文%余捷凯%郑树
瀋虹%袁瑛%李晶晶%房雪峰%譚純文%餘捷凱%鄭樹
침홍%원영%리정정%방설봉%담순문%여첩개%정수
生物学标记%结直肠肿瘤%蛋白质阵列分析
生物學標記%結直腸腫瘤%蛋白質陣列分析
생물학표기%결직장종류%단백질진렬분석
Biological markers%Colorectal neoplasms%Protein array analysis
目的:寻找能预测晚期结直肠癌一线化疗疗效的血清蛋白标记物。方法选择2008年8月至2010年7月在浙江大学医学院附属第二医院的70例从未接受过治疗的晚期结直肠癌患者,其中44例患者接受FOLFOX方案化疗,26例患者接受FOLFIRI方案化疗,进行4个疗程治疗后使用RECIST评价标准区分化疗受益者( R)和化疗无效者( NR)。留取化疗前患者血清标本,采用SELDI-TOF-MS和人工神经网络对一线化疗的疗效进行预测分析。结果根据RECIST标准,42例患者为化疗受益者,28例患者为化疗无效者,分析两组患者血清蛋白质指纹图谱的差异,筛选出10个蛋白质峰在化疗受益组的表达明显高于化疗无效组;并由这10个峰构建出结直肠癌一线化疗疗效的预测模型。经交叉验证,该模型的总准确率为90.0%(63/70)。结论蛋白质指纹图谱模型是预测晚期结直肠癌患者一线化疗方案治疗效果的有效方法之一。
目的:尋找能預測晚期結直腸癌一線化療療效的血清蛋白標記物。方法選擇2008年8月至2010年7月在浙江大學醫學院附屬第二醫院的70例從未接受過治療的晚期結直腸癌患者,其中44例患者接受FOLFOX方案化療,26例患者接受FOLFIRI方案化療,進行4箇療程治療後使用RECIST評價標準區分化療受益者( R)和化療無效者( NR)。留取化療前患者血清標本,採用SELDI-TOF-MS和人工神經網絡對一線化療的療效進行預測分析。結果根據RECIST標準,42例患者為化療受益者,28例患者為化療無效者,分析兩組患者血清蛋白質指紋圖譜的差異,篩選齣10箇蛋白質峰在化療受益組的錶達明顯高于化療無效組;併由這10箇峰構建齣結直腸癌一線化療療效的預測模型。經交扠驗證,該模型的總準確率為90.0%(63/70)。結論蛋白質指紋圖譜模型是預測晚期結直腸癌患者一線化療方案治療效果的有效方法之一。
목적:심조능예측만기결직장암일선화료료효적혈청단백표기물。방법선택2008년8월지2010년7월재절강대학의학원부속제이의원적70례종미접수과치료적만기결직장암환자,기중44례환자접수FOLFOX방안화료,26례환자접수FOLFIRI방안화료,진행4개료정치료후사용RECIST평개표준구분화료수익자( R)화화료무효자( NR)。류취화료전환자혈청표본,채용SELDI-TOF-MS화인공신경망락대일선화료적료효진행예측분석。결과근거RECIST표준,42례환자위화료수익자,28례환자위화료무효자,분석량조환자혈청단백질지문도보적차이,사선출10개단백질봉재화료수익조적표체명현고우화료무효조;병유저10개봉구건출결직장암일선화료료효적예측모형。경교차험증,해모형적총준학솔위90.0%(63/70)。결론단백질지문도보모형시예측만기결직장암환자일선화료방안치료효과적유효방법지일。
Objective To identify serum protein patterns which could predict the efficacy of first-line chemotherapy of metastatic colorectal cancer ( CRC) .Methods Serum from 70 patients diagnosed as metastatic colorectal cancer before first-line chemotherapy were collected and analyzed for protein patterns using ANN analysis of SELDI-TOF-MS.Among the 70 cases,44 patients received FOLFOX regimen,while the other 26 patients received FOLFIRI regimen.After four cycles of the treatment,RECIST criteria were used to define the responders(R)and non-responders(NR).Results With the method of SELDI-TOF-MS,10 protein peaks were identified to be significantly high expressed in 42 responders than in those 28 non-responders.A prediction model was constructed by the combination of these 10 peaks,which could achieve an accuracy of 90.0%(63/70)for the chemotherapy efficiency of CRC patients.Conclusions The prediction model combined of 10 protein peaks could be helpful for prediction of the first-line chemotherapy efficiency of metastatic CRC patients.