中华肿瘤杂志
中華腫瘤雜誌
중화종류잡지
CHINESE JOURNAL OF ONCOLOGY
2010年
9期
681-684
,共4页
阿仙姑·哈斯木%巴吐尔·买买提明%伊力亚尔·夏合丁
阿仙姑·哈斯木%巴吐爾·買買提明%伊力亞爾·夏閤丁
아선고·합사목%파토이·매매제명%이력아이·하합정
食管肿瘤%磁共振氢谱%代谢组学%正交偏最小二乘判别分析法
食管腫瘤%磁共振氫譜%代謝組學%正交偏最小二乘判彆分析法
식관종류%자공진경보%대사조학%정교편최소이승판별분석법
Esophageal neoplasms%1 H-magnetic resonance spectroscopy%Metabolomics%Orthogonal partial least squares discriminant analysis
目的 探讨不同模式识别方法应用于食管癌磁共振(MR)代谢组学研究的可行性.方法 应用MR技术对109例食管癌患者和50名健康人的血浆标本进行检测,记录血浆一维600MHz磁共振氢谱(1H-MRS).分别采用主成分分析法(PCA)、偏最小二乘判别分析法(PLS-DA)和正交偏最小二乘判别分析法(OPLS-DA)对1H-MRS进行模式识别分析,确定食管癌患者和健康人血浆差异性代谢组分,并分析3种模式识别方法的判别能力.结果 OPLS-DA方法能够区分食管癌患者和健康人血浆代谢组的1H-MRS,其判别能力优于PCA法和PLS-DA法.OPLS-DA分析结果显示,与健康人比较,食管癌患者血浆中多种代谢物显著下降,包括极低密度脂蛋白、低密度脂蛋白、不饱和脂肪酸、异亮氨酸、亮氨酸、缬氨酸、乳酸、丙氨酸、乙酸、糖蛋白、丙酮、肌酸酐、胆碱、1-甲基组氨酸和异丁酸等,差异有统计学意义(均r>0.27,P<0.05),而柠檬酸、β-葡萄糖、α-葡萄糖和二甲胺等明显增加,差异有统计学意义(均r<-0.27,P<0.05).结论 1H-MRS的OPLS-DA模式识别方法可以剔除临床非实验因素的影响,为MR代谢组学技术应用于食管癌的临床诊断开辟了道路.
目的 探討不同模式識彆方法應用于食管癌磁共振(MR)代謝組學研究的可行性.方法 應用MR技術對109例食管癌患者和50名健康人的血漿標本進行檢測,記錄血漿一維600MHz磁共振氫譜(1H-MRS).分彆採用主成分分析法(PCA)、偏最小二乘判彆分析法(PLS-DA)和正交偏最小二乘判彆分析法(OPLS-DA)對1H-MRS進行模式識彆分析,確定食管癌患者和健康人血漿差異性代謝組分,併分析3種模式識彆方法的判彆能力.結果 OPLS-DA方法能夠區分食管癌患者和健康人血漿代謝組的1H-MRS,其判彆能力優于PCA法和PLS-DA法.OPLS-DA分析結果顯示,與健康人比較,食管癌患者血漿中多種代謝物顯著下降,包括極低密度脂蛋白、低密度脂蛋白、不飽和脂肪痠、異亮氨痠、亮氨痠、纈氨痠、乳痠、丙氨痠、乙痠、糖蛋白、丙酮、肌痠酐、膽堿、1-甲基組氨痠和異丁痠等,差異有統計學意義(均r>0.27,P<0.05),而檸檬痠、β-葡萄糖、α-葡萄糖和二甲胺等明顯增加,差異有統計學意義(均r<-0.27,P<0.05).結論 1H-MRS的OPLS-DA模式識彆方法可以剔除臨床非實驗因素的影響,為MR代謝組學技術應用于食管癌的臨床診斷開闢瞭道路.
목적 탐토불동모식식별방법응용우식관암자공진(MR)대사조학연구적가행성.방법 응용MR기술대109례식관암환자화50명건강인적혈장표본진행검측,기록혈장일유600MHz자공진경보(1H-MRS).분별채용주성분분석법(PCA)、편최소이승판별분석법(PLS-DA)화정교편최소이승판별분석법(OPLS-DA)대1H-MRS진행모식식별분석,학정식관암환자화건강인혈장차이성대사조분,병분석3충모식식별방법적판별능력.결과 OPLS-DA방법능구구분식관암환자화건강인혈장대사조적1H-MRS,기판별능력우우PCA법화PLS-DA법.OPLS-DA분석결과현시,여건강인비교,식관암환자혈장중다충대사물현저하강,포괄겁저밀도지단백、저밀도지단백、불포화지방산、이량안산、량안산、힐안산、유산、병안산、을산、당단백、병동、기산항、담감、1-갑기조안산화이정산등,차이유통계학의의(균r>0.27,P<0.05),이저몽산、β-포도당、α-포도당화이갑알등명현증가,차이유통계학의의(균r<-0.27,P<0.05).결론 1H-MRS적OPLS-DA모식식별방법가이척제림상비실험인소적영향,위MR대사조학기술응용우식관암적림상진단개벽료도로.
Objective To analyze the metabonomic 1H-MRS of plasma samples from patients with esophageal cancer and healthy controls applying different pattern recognition methods, and to explore the potential of application of 1H-MR-based metabonomics in clinical research. Methods 1H-MR was performed on plasma samples from 109 EC patients and 50 health controls to analyze the metabonomic variation between EC patients and healthy subjects and the corresponding 1H-MRS were recorded on Varian Unity ANOVA 600 MHz to perform principal components analysis (PCA), partial least squares discriminant analysis (PLS-DA), orthogonal partial least squares discriminant analysis (OPLS-DA), respectively.Results OPLS-DA analysis could correctly separate almost all the plasma samples from EC patients and health controls, better than both the PCA and PLS-DA. The plasma levels of leucine, alanine, isoleucine,valine, glycoprotein, lactate, acetone, acetate, choline, isobutyrate, unsaturated lipid, VLDL, LDL,1-methylhistidine were significantly decreased in EC patients (r total > 0.27, P < 0.05), while that of dimethylamine, α-glucose, β-glucose, citric acid increased in the EC patients (r total < -0.27, P <0.05). Conclusions The analysis of metabonomic 1H-MRS of plasma samples by OPLS-DA method can eliminate the influence of non-experimental factors and decrease the heterogeneity of samples. It is useful and of great potential for application in clinical diagnosis and research of esophageal cancer.