中华实验外科杂志
中華實驗外科雜誌
중화실험외과잡지
CHINESE JOURNAL OF EXPERIMENTAL SURGERY
2014年
11期
2559-2561
,共3页
胃癌%蛋白组学%磁珠%基质辅助激光解吸离子化飞行时间质谱
胃癌%蛋白組學%磁珠%基質輔助激光解吸離子化飛行時間質譜
위암%단백조학%자주%기질보조격광해흡리자화비행시간질보
Gastric cancer%Proteomics%Magnetic bead%Matrix-assisted laser desorption/ionization time of flight mass spectrometry
目的 比较分析胃癌与正常人血清蛋白质谱的变化,筛选特异性蛋白标志物,建立胃癌诊断分类树模型.方法 收集血清样本231例(其中胃癌116例,正常115例),随机分为建模组和验证组.应用弱阳离子磁珠联合基质辅助激光解吸离子化飞行时间质谱,建立胃癌与正常人血清蛋白质谱,对建模组43例胃癌和42例正常人血清差异蛋白质谱进行定量分析,应用GeneticAlgorithm算法建立胃癌诊断模型,应用所获取的诊断模型对验证组样本(73例胃癌、73例正常人)进行分类诊断,以评价诊断模型的诊断价值.结果 通过比较分析胃癌与正常人血清蛋白质谱,发现共有48个差异蛋白峰(P＜0.05),其中在胃癌中表达上调25个,表达下调23个,利用其中8个差异峰(质荷比分别为3 316.28、1 213.99、2 934.23、1 214.86、760.02、1 779.70、3 884.85及1 945.67)建立诊断模型,准确率为94.11％,经独立样本双盲验证,其灵敏度为93.15％,特异度为94.52％.结论 基于磁珠分离和质谱技术能直接检测出胃癌患者血清差异表达蛋白,建立的诊断模型具有较高的敏感性和特异性,对提高胃癌的诊断具有一定的临床意义.
目的 比較分析胃癌與正常人血清蛋白質譜的變化,篩選特異性蛋白標誌物,建立胃癌診斷分類樹模型.方法 收集血清樣本231例(其中胃癌116例,正常115例),隨機分為建模組和驗證組.應用弱暘離子磁珠聯閤基質輔助激光解吸離子化飛行時間質譜,建立胃癌與正常人血清蛋白質譜,對建模組43例胃癌和42例正常人血清差異蛋白質譜進行定量分析,應用GeneticAlgorithm算法建立胃癌診斷模型,應用所穫取的診斷模型對驗證組樣本(73例胃癌、73例正常人)進行分類診斷,以評價診斷模型的診斷價值.結果 通過比較分析胃癌與正常人血清蛋白質譜,髮現共有48箇差異蛋白峰(P＜0.05),其中在胃癌中錶達上調25箇,錶達下調23箇,利用其中8箇差異峰(質荷比分彆為3 316.28、1 213.99、2 934.23、1 214.86、760.02、1 779.70、3 884.85及1 945.67)建立診斷模型,準確率為94.11％,經獨立樣本雙盲驗證,其靈敏度為93.15％,特異度為94.52％.結論 基于磁珠分離和質譜技術能直接檢測齣胃癌患者血清差異錶達蛋白,建立的診斷模型具有較高的敏感性和特異性,對提高胃癌的診斷具有一定的臨床意義.
목적 비교분석위암여정상인혈청단백질보적변화,사선특이성단백표지물,건립위암진단분류수모형.방법 수집혈청양본231례(기중위암116례,정상115례),수궤분위건모조화험증조.응용약양리자자주연합기질보조격광해흡리자화비행시간질보,건립위암여정상인혈청단백질보,대건모조43례위암화42례정상인혈청차이단백질보진행정량분석,응용GeneticAlgorithm산법건립위암진단모형,응용소획취적진단모형대험증조양본(73례위암、73례정상인)진행분류진단,이평개진단모형적진단개치.결과 통과비교분석위암여정상인혈청단백질보,발현공유48개차이단백봉(P＜0.05),기중재위암중표체상조25개,표체하조23개,이용기중8개차이봉(질하비분별위3 316.28、1 213.99、2 934.23、1 214.86、760.02、1 779.70、3 884.85급1 945.67)건립진단모형,준학솔위94.11％,경독립양본쌍맹험증,기령민도위93.15％,특이도위94.52％.결론 기우자주분리화질보기술능직접검측출위암환자혈청차이표체단백,건립적진단모형구유교고적민감성화특이성,대제고위암적진단구유일정적림상의의.
Objective To detect the specific protein biomarkers of gastric cancer by exploring the difference serum proteomic spectra between patients with gastric cancer and healthy individuals.Methods Serum samples of 116 cases of gastric cancer patients and 115 cases of healthy individuals were collected,and randomized divided into model construction group and validation group.Magnetic bead kit and mass spectrometry were used to detect serum samples from patients with gastric cancer and healthy individuals.The model was then built by ClintProt tools 2.2 Software and was further evaluated in blind test for reliability.Results Fourty-eight differentially expressed proteins in serum were detected by analysis of protemic spectra of gastric cancer patients and healthy individuals,including 25 up-regulated proteins and 23 downregulated ones.Eight proteins (m/z 3 316.28,1 213.99,2 934.23,1 214.86,760.02,1 779.70,3 884.85 and 1 945.67) were obtained for making up ClinProt Model which could classify the gastric cancer patients and healthy individuals with an accuracy of 94.11％.By a double blind validation,the ClintProt Model yielded a sensitivity of 93.15％ and a specificity of 94.52％,respectively.Conclusion Combination of magnetic bead kit and mass spectrometry has clinical significance for improving the accuracy of gastric cancer diagnosis.
