中华外科杂志
中華外科雜誌
중화외과잡지
CHINESE JOURNAL OF SURGERY
2008年
13期
995-997
,共3页
赖衍汉%许剑民%于新哲%钟芸诗%韦烨%任黎%朱德祥%刘银坤%牛伟新%秦新裕
賴衍漢%許劍民%于新哲%鐘蕓詩%韋燁%任黎%硃德祥%劉銀坤%牛偉新%秦新裕
뢰연한%허검민%우신철%종예시%위엽%임려%주덕상%류은곤%우위신%진신유
结直肠肿瘤%蛋白质阵列分析%表面加强激光解吸电离-飞行时间-质谱技术%预测模型
結直腸腫瘤%蛋白質陣列分析%錶麵加彊激光解吸電離-飛行時間-質譜技術%預測模型
결직장종류%단백질진렬분석%표면가강격광해흡전리-비행시간-질보기술%예측모형
Colorectal neoplasms%Protein array analysis%Surface enhanced laser desorption/ionization-time of flight-mass spectrometry:Predictive model
目的 寻找与结直肠癌相关的蛋白质并建立结直肠癌血清蛋白指纹图谱诊断预测模型.方法 随机选取结直肠癌病例36例(结直肠癌组)和疝或行胆囊择期手术的患者36例(对照组),术前静脉采血,采用弱阳离子交换蛋白质芯片(CM10),经表面加强激光解吸电离-飞行时间-质谱(SELDI-TOF-MS)技术测定,建立结直肠癌的血清蛋白指纹图谱诊断预测模型;选取88例结直肠癌患者和44例正常对照进行盲法验证.结果 通过两组比较,得到5个差异蛋白峰,并以此建立诊断预测模型,其敏感性为100%,特异性为97.2%.盲法验证显示敏感性为71.6%,特异性为72.7%.其中质荷比为8908与13707的蛋白均存在于结直肠癌组和正常组的比较中,提示上述蛋白质与结直肠癌相关.结论 运用SELDI-TOF-MS技术建立的血清蛋白指纹图谱模型对诊断结直肠癌具有较高的敏感性与特异性.质荷比为8908与13707的蛋白可能成为结直肠癌的肿瘤标记物.
目的 尋找與結直腸癌相關的蛋白質併建立結直腸癌血清蛋白指紋圖譜診斷預測模型.方法 隨機選取結直腸癌病例36例(結直腸癌組)和疝或行膽囊擇期手術的患者36例(對照組),術前靜脈採血,採用弱暘離子交換蛋白質芯片(CM10),經錶麵加彊激光解吸電離-飛行時間-質譜(SELDI-TOF-MS)技術測定,建立結直腸癌的血清蛋白指紋圖譜診斷預測模型;選取88例結直腸癌患者和44例正常對照進行盲法驗證.結果 通過兩組比較,得到5箇差異蛋白峰,併以此建立診斷預測模型,其敏感性為100%,特異性為97.2%.盲法驗證顯示敏感性為71.6%,特異性為72.7%.其中質荷比為8908與13707的蛋白均存在于結直腸癌組和正常組的比較中,提示上述蛋白質與結直腸癌相關.結論 運用SELDI-TOF-MS技術建立的血清蛋白指紋圖譜模型對診斷結直腸癌具有較高的敏感性與特異性.質荷比為8908與13707的蛋白可能成為結直腸癌的腫瘤標記物.
목적 심조여결직장암상관적단백질병건립결직장암혈청단백지문도보진단예측모형.방법 수궤선취결직장암병례36례(결직장암조)화산혹행담낭택기수술적환자36례(대조조),술전정맥채혈,채용약양리자교환단백질심편(CM10),경표면가강격광해흡전리-비행시간-질보(SELDI-TOF-MS)기술측정,건립결직장암적혈청단백지문도보진단예측모형;선취88례결직장암환자화44례정상대조진행맹법험증.결과 통과량조비교,득도5개차이단백봉,병이차건립진단예측모형,기민감성위100%,특이성위97.2%.맹법험증현시민감성위71.6%,특이성위72.7%.기중질하비위8908여13707적단백균존재우결직장암조화정상조적비교중,제시상술단백질여결직장암상관.결론 운용SELDI-TOF-MS기술건립적혈청단백지문도보모형대진단결직장암구유교고적민감성여특이성.질하비위8908여13707적단백가능성위결직장암적종류표기물.
Objective To establish serum proteome fingerprinting predictive models and search for proteins associated with colorectal cancer.Methods Thirty-six randomly selected colorectal cancer patients and 36 cases with hernia or gall bladder diseases scheduled for elective operation were enrolled as cancer group and control group respectively.Peripheral venous blood samples were collected before the operations.Special serum protein or peptide fingerprint was investigated by using surface enhanced laser desorption/ionization-time of flight-mass spectrometry(SELDI-TOF-MS)measurement after blood sample had been treated with weak cation exchange protein chip(CM10)for each case.The obtained data were analyzed by Biomarker Wizard software to screen serum proteome tumor markers and set up diagnosis predictive model for eolorectal cancer.Blind validation of the model with 44 healthy controls and 88 colorectal cancer patients were carried out by using Biomarker Patterns Software.Results In comparing colorectal cancer group with control group,5 specific protein peaks(P<0.05)were found.The predictive model had a sensitivity of 100% and a specificity of 97.2%.A sensitivity of 71.6% and a specificity of 72.7% was got with the blind validation.The specific protein peaks with a mass-to-charge ratio(m/z)of 8908 and 13707 showed in all the results and it showed their strong relationship with colorectal cancer.Conclusions The predictive models built by the differences of serum proteome fingerprint could be a very useful diagnostic tool in colorectal cancer.Proteins with m/z of 8908 and 13707 would possibly be the tumor markers of colorectal cancer.