中华预防医学杂志
中華預防醫學雜誌
중화예방의학잡지
CHINESE JOURNAL OF
2008年
9期
677-680
,共4页
王玉书%沈靖%余捷凯%张联%马峻岭%游伟程%潘凯枫
王玉書%瀋靖%餘捷凱%張聯%馬峻嶺%遊偉程%潘凱楓
왕옥서%침정%여첩개%장련%마준령%유위정%반개풍
质谱%胃肿瘤%DNA指纹法%蛋白质阵列分析
質譜%胃腫瘤%DNA指紋法%蛋白質陣列分析
질보%위종류%DNA지문법%단백질진렬분석
Mass spectrometry%Stomach neoplasms%DNA fingerprinting%Protein array analysis
目的 应用表面加强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)技术分析胃癌血清蛋白质指纹图谱,筛选胃癌特异性血清蛋白组合,建立胃癌诊断模型.方法 利用强阴离子交换芯片(Q10)分别对山东省临朐县胃癌高发区36例胃癌患者和46例浅表性胃炎患者的血清蛋白指纹图谱进行检测,采用ZUCIPDAS蛋白芯片数据分析系统,建立高发区胃癌血清蛋白指纹图谱诊断模型,并利用盲筛法验证模型的正确性.结果 通过对26例胃癌患者及37例浅表性胃炎患者血清蛋白指纹图谱进行检测,筛选出差异具有统计学意义的6个蛋白质峰,质荷比分别为8587、6945、8243、3899、7035和9943,并建立胃癌蛋白指纹图谱诊断模型,该模型诊断胃癌的灵敏度达88.5%,特异度达97.3%.在完成建模后,选择19例患者血清进行盲筛,其中胃癌患者10例,浅表性胃炎患者9例.通过盲筛验证,该模型诊断胃癌的灵敏度为80.0%,特异度为88.9%.结论 初步建立了胃癌高发区胃癌血清蛋白指纹图谱诊断模型,该模型诊断胃癌的灵敏度和特异度均达到80%以上,该方法为胃癌的诊断提供了新的思路.
目的 應用錶麵加彊激光解吸離子化飛行時間質譜(SELDI-TOF-MS)技術分析胃癌血清蛋白質指紋圖譜,篩選胃癌特異性血清蛋白組閤,建立胃癌診斷模型.方法 利用彊陰離子交換芯片(Q10)分彆對山東省臨朐縣胃癌高髮區36例胃癌患者和46例淺錶性胃炎患者的血清蛋白指紋圖譜進行檢測,採用ZUCIPDAS蛋白芯片數據分析繫統,建立高髮區胃癌血清蛋白指紋圖譜診斷模型,併利用盲篩法驗證模型的正確性.結果 通過對26例胃癌患者及37例淺錶性胃炎患者血清蛋白指紋圖譜進行檢測,篩選齣差異具有統計學意義的6箇蛋白質峰,質荷比分彆為8587、6945、8243、3899、7035和9943,併建立胃癌蛋白指紋圖譜診斷模型,該模型診斷胃癌的靈敏度達88.5%,特異度達97.3%.在完成建模後,選擇19例患者血清進行盲篩,其中胃癌患者10例,淺錶性胃炎患者9例.通過盲篩驗證,該模型診斷胃癌的靈敏度為80.0%,特異度為88.9%.結論 初步建立瞭胃癌高髮區胃癌血清蛋白指紋圖譜診斷模型,該模型診斷胃癌的靈敏度和特異度均達到80%以上,該方法為胃癌的診斷提供瞭新的思路.
목적 응용표면가강격광해흡리자화비행시간질보(SELDI-TOF-MS)기술분석위암혈청단백질지문도보,사선위암특이성혈청단백조합,건립위암진단모형.방법 이용강음리자교환심편(Q10)분별대산동성림구현위암고발구36례위암환자화46례천표성위염환자적혈청단백지문도보진행검측,채용ZUCIPDAS단백심편수거분석계통,건립고발구위암혈청단백지문도보진단모형,병이용맹사법험증모형적정학성.결과 통과대26례위암환자급37례천표성위염환자혈청단백지문도보진행검측,사선출차이구유통계학의의적6개단백질봉,질하비분별위8587、6945、8243、3899、7035화9943,병건립위암단백지문도보진단모형,해모형진단위암적령민도체88.5%,특이도체97.3%.재완성건모후,선택19례환자혈청진행맹사,기중위암환자10례,천표성위염환자9례.통과맹사험증,해모형진단위암적령민도위80.0%,특이도위88.9%.결론 초보건립료위암고발구위암혈청단백지문도보진단모형,해모형진단위암적령민도화특이도균체도80%이상,해방법위위암적진단제공료신적사로.
Objective To explore the specific and sensitive biomarkers for gastric cancer detection,a surface-enhanced laser deserption and ionization protein chip mass spectrometry(SELDI-TOF-MS)was used to generate protein profiles of serum in gastric cancer at a high-risk area.Methods A total of 36 gastric cancer cases and 46 subjects with superficial gastritis were selected from Linqu county,Shandong province,a high-risk area of gastric cancer.Serum samples were collected and Q10 protein chips were used to detect the serum proteomic patterns,and the sensitivity and specificity were assessed.Results For the comparison of the gastric cancer group(26 out of 36 gastric cancer cases)versus superficial gastritis group (37 out of 46 subjects),the 6 most discriminating peaks(m/z 8587,6945,8243,3899,7035,and 9943)were identified by the ProteinChip Data Analysis System(ZUCIPDAS).The sensitivity and specificity of this pattern were 88.5%and 97.3%,respectively.A total of 19 subjects(10 gastric cancer cases and 9 superficial gastritis subjects)was selected to test the accuracy of this pattern by using blind method,and the sensitivity and specificity were 80.0%and 88.9%,respectively.Conclusion Our findings suggest that SELDI profiling of serum might be a potential for gastric cancer detection and screening in high-risk population.
