基础医学与临床
基礎醫學與臨床
기출의학여림상
BASIC MEDICAL SCIENCES AND CLINICS
2009年
11期
1174-1179
,共6页
叶韵斌%陈玲%佘志廉%陈慧菁%蔡丹%柳硕岩%陈强
葉韻斌%陳玲%佘誌廉%陳慧菁%蔡丹%柳碩巖%陳彊
협운빈%진령%사지렴%진혜정%채단%류석암%진강
表面增强激光解析电离化飞行时间质谱(蛋白指纹图谱技术)%肿瘤%非小细胞肺癌%蛋白质组学
錶麵增彊激光解析電離化飛行時間質譜(蛋白指紋圖譜技術)%腫瘤%非小細胞肺癌%蛋白質組學
표면증강격광해석전리화비행시간질보(단백지문도보기술)%종류%비소세포폐암%단백질조학
surface-enhanced laser desorption ionization time-of-flight mass spectrometry (protein fingerprinting)%carcinoma%non-small cell lung cancer%proteomics
目的 分析非小细胞肺癌(NSCLC)血清蛋白表达谱的改变,筛选并建立NSCLC血清蛋白的差异表达谱.方法 应用表面增强激光解析电离化飞行时间质谱(SELDI-TOF-MS,简称SELDI-TOF或SELDI)技术,分析100例NSCLC患者和100例正常对照血清,获得蛋白表达图谱.用Biomarker Pattern(BPS)软件分析NSCLC差异蛋白并初步建立诊断模型.通过盲筛进一步验证诊断模型.结果 发现NSCLC患者血清与正常人有16个显著差异的蛋白波峰,显著高表达8个(P＜0.001).显著低表达8个(P＜0.001).经BPS软件分析,建立分类树模型,其诊断的灵敏度为100%,特异度为100%.100例样本盲筛验证结果 显示,其灵敏度为96.15%,特异度为95.83%.无吸烟史患者较有吸烟史患者血清中显著高表达蛋白质波峰有3个(P＜0.05).鳞癌患者较腺癌患者血清中显著高表达蛋白质波峰有2个(P＜0.01).不同病理分期患者之间未发现差异蛋白峰.结论 SELDI-TOF-MS技术可筛选出NSCLC差异性蛋白并建立NSCLC诊断的分类树模型,有望成为NSCLC早期诊断的辅助指标.
目的 分析非小細胞肺癌(NSCLC)血清蛋白錶達譜的改變,篩選併建立NSCLC血清蛋白的差異錶達譜.方法 應用錶麵增彊激光解析電離化飛行時間質譜(SELDI-TOF-MS,簡稱SELDI-TOF或SELDI)技術,分析100例NSCLC患者和100例正常對照血清,穫得蛋白錶達圖譜.用Biomarker Pattern(BPS)軟件分析NSCLC差異蛋白併初步建立診斷模型.通過盲篩進一步驗證診斷模型.結果 髮現NSCLC患者血清與正常人有16箇顯著差異的蛋白波峰,顯著高錶達8箇(P＜0.001).顯著低錶達8箇(P＜0.001).經BPS軟件分析,建立分類樹模型,其診斷的靈敏度為100%,特異度為100%.100例樣本盲篩驗證結果 顯示,其靈敏度為96.15%,特異度為95.83%.無吸煙史患者較有吸煙史患者血清中顯著高錶達蛋白質波峰有3箇(P＜0.05).鱗癌患者較腺癌患者血清中顯著高錶達蛋白質波峰有2箇(P＜0.01).不同病理分期患者之間未髮現差異蛋白峰.結論 SELDI-TOF-MS技術可篩選齣NSCLC差異性蛋白併建立NSCLC診斷的分類樹模型,有望成為NSCLC早期診斷的輔助指標.
목적 분석비소세포폐암(NSCLC)혈청단백표체보적개변,사선병건립NSCLC혈청단백적차이표체보.방법 응용표면증강격광해석전리화비행시간질보(SELDI-TOF-MS,간칭SELDI-TOF혹SELDI)기술,분석100례NSCLC환자화100례정상대조혈청,획득단백표체도보.용Biomarker Pattern(BPS)연건분석NSCLC차이단백병초보건립진단모형.통과맹사진일보험증진단모형.결과 발현NSCLC환자혈청여정상인유16개현저차이적단백파봉,현저고표체8개(P＜0.001).현저저표체8개(P＜0.001).경BPS연건분석,건립분류수모형,기진단적령민도위100%,특이도위100%.100례양본맹사험증결과 현시,기령민도위96.15%,특이도위95.83%.무흡연사환자교유흡연사환자혈청중현저고표체단백질파봉유3개(P＜0.05).린암환자교선암환자혈청중현저고표체단백질파봉유2개(P＜0.01).불동병리분기환자지간미발현차이단백봉.결론 SELDI-TOF-MS기술가사선출NSCLC차이성단백병건립NSCLC진단적분류수모형,유망성위NSCLC조기진단적보조지표.
Objective To analyze the characteristic of serum proteins in non-small cell lung cancer (NSCLC) patients, establish serum markers pattern for the diagnosis of NSCLC. Methods Surface enhanced laser desorption ionization time of flight mass spectormetry ( SELDI-TOF-MS) technology was used to analyze serum samples. Bio-marker Pattern Software (BPS) was used to detect the protein peaks. Results Sixteen significantly different pro-tein peaks were found in serum samples in NSCLC patients and healthy controls. Eight up-regulated protein peaks and eight down-regulated protein peaks ( P < 0. 001 ) were identified in serum samples of NSCLC patients. Three up-regulated protein peaks(P <0. 05) were identified in serum samples of patients of NSCLC with smoking history. Two up-regulated protein peaks(P <0. 01) were identified in serum samples of patients of squamous carcinoma comparing with adenocarcinoma. No significantly different protein peak was found in serum samples of NSCLC patients at different clinical stages . Conclusion SELDI - TOF - MS technology can identify different protein peaks and so function as a diagnostic tool with high sensitivity and specificity.
