中华医学杂志
中華醫學雜誌
중화의학잡지
National Medical Journal of China
2008年
12期
858-860
,共3页
徐罡%项翠琴%陆晔%康晓楠%王文静%廖萍%丁强%张元芳
徐罡%項翠琴%陸曄%康曉楠%王文靜%廖萍%丁彊%張元芳
서강%항취금%륙엽%강효남%왕문정%료평%정강%장원방
癌,肾细胞%血清学试验%蛋白质组%体层摄影术,X线计算机
癌,腎細胞%血清學試驗%蛋白質組%體層攝影術,X線計算機
암,신세포%혈청학시험%단백질조%체층섭영술,X선계산궤
Carcinoma,renal cell%Serologic tests%Proteome%Tomography,X-ray computed
目的 探讨表面增强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)技术在肾脏占位的良恶性鉴别诊断中的应用以及联合CT进行鉴别诊断的价值.方法 96例血清标本取自62例肾癌和34例肾脏良性占位患者,患者术前均接受过CT检查.应用SELDI-TOF-MS技术获得所有患者的金属亲和-铜离子(IMAC-Cu2+)蛋白芯片的表达图谱,随机采用42例肾癌和22例肾脏良性占位患者的血清蛋白质谱建立决策树诊断模型,并用其余患者进行双盲验证.结果 利用质荷比分别为4657.56、2955.95和3278.00的3个蛋白峰建立了1个决策树诊断模型,其敏感性为85.7%(36/42),特异性为90.9%(20/22),双盲法验证后的敏感性为75.0%(15/20),特异性为83.3%(10/12).而联合CT的诊断结果,建模组和验证组的诊断特异性和阳性预测值均可达100%.结论 利用质荷比分别为4657.56、2955.95和3278.00的3个蛋白峰所建立的诊断决策模型有助于鉴别肾脏占位的良恶性,联合临床CT诊断可明显提高诊断的效率.
目的 探討錶麵增彊激光解吸離子化飛行時間質譜(SELDI-TOF-MS)技術在腎髒佔位的良噁性鑒彆診斷中的應用以及聯閤CT進行鑒彆診斷的價值.方法 96例血清標本取自62例腎癌和34例腎髒良性佔位患者,患者術前均接受過CT檢查.應用SELDI-TOF-MS技術穫得所有患者的金屬親和-銅離子(IMAC-Cu2+)蛋白芯片的錶達圖譜,隨機採用42例腎癌和22例腎髒良性佔位患者的血清蛋白質譜建立決策樹診斷模型,併用其餘患者進行雙盲驗證.結果 利用質荷比分彆為4657.56、2955.95和3278.00的3箇蛋白峰建立瞭1箇決策樹診斷模型,其敏感性為85.7%(36/42),特異性為90.9%(20/22),雙盲法驗證後的敏感性為75.0%(15/20),特異性為83.3%(10/12).而聯閤CT的診斷結果,建模組和驗證組的診斷特異性和暘性預測值均可達100%.結論 利用質荷比分彆為4657.56、2955.95和3278.00的3箇蛋白峰所建立的診斷決策模型有助于鑒彆腎髒佔位的良噁性,聯閤臨床CT診斷可明顯提高診斷的效率.
목적 탐토표면증강격광해흡리자화비행시간질보(SELDI-TOF-MS)기술재신장점위적량악성감별진단중적응용이급연합CT진행감별진단적개치.방법 96례혈청표본취자62례신암화34례신장량성점위환자,환자술전균접수과CT검사.응용SELDI-TOF-MS기술획득소유환자적금속친화-동리자(IMAC-Cu2+)단백심편적표체도보,수궤채용42례신암화22례신장량성점위환자적혈청단백질보건립결책수진단모형,병용기여환자진행쌍맹험증.결과 이용질하비분별위4657.56、2955.95화3278.00적3개단백봉건립료1개결책수진단모형,기민감성위85.7%(36/42),특이성위90.9%(20/22),쌍맹법험증후적민감성위75.0%(15/20),특이성위83.3%(10/12).이연합CT적진단결과,건모조화험증조적진단특이성화양성예측치균가체100%.결론 이용질하비분별위4657.56、2955.95화3278.00적3개단백봉소건립적진단결책모형유조우감별신장점위적량악성,연합림상CT진단가명현제고진단적효솔.
Objective To identify the proteomic differences between renaX cell carcinoma(RCC)and renal benign masses and to evaluate the diagnostic value of parallel and serial test combining with CT and surface enhanced laser desorption/ionization-time of flight-mass spectrometry(SELDI-TOF-MS).Methods Serum samples were collected from 96 patients with tenal tumors.62 RCC cases and 34 renal benign mass cases,all of which had been evaluated by CT before surgery.The sera were analyzed using IMAC-Cu2+ProteinChip system by SELDI-TOF-MS.The decision tree was generated by Biomark Pattern based on the sera of 42 RCC cases and 22 renal benign mass cases and was blind-tested by the rest sera samples.The parallel method and serial method combining CT and SELDI were also used to distinguish RCC and renal benign masses.Results The sensitivity and specificity of the decision tree were 85.7%(36/42)and 90.9%(20/22)respectively.The sensitivity and specificity of the double-blind test were 75.0%( 15/20)and 83.3%(10/12)respectively.CT showed higher sensitivity but lower specificity in detecting RCC.While combining CT with SELDI-TOF-MS,the sensitivity and specificity could be improved.Conclusion Three peaks with the moleeular weights of 4657.56,2955.95,and 3278.00 were detected which are potentially useful for differentiating RCC and renal benign masses.Using serial method combining CT and the decision tree based on these three proteins improves the sensitivity and positive predictive values of diagnosing RCC to 100%.