北华大学学报(自然科学版)
北華大學學報(自然科學版)
북화대학학보(자연과학판)
JOURNAL OF BEIHUA UNIVERSITY(NATURAL SCIENCE)
2015年
1期
43-46
,共4页
张洪德%徐文莉%罗艺%廖长征%李康%陈思祖%林燕华
張洪德%徐文莉%囉藝%廖長徵%李康%陳思祖%林燕華
장홍덕%서문리%라예%료장정%리강%진사조%림연화
宫颈癌%生物学标志物%代谢组学%气相色谱/质谱
宮頸癌%生物學標誌物%代謝組學%氣相色譜/質譜
궁경암%생물학표지물%대사조학%기상색보/질보
cervical neoplasms%biological markers%metabolomics%gas chromatography/mass spectrometry
目的:对宫颈癌患者血清进行代谢组学分析,以寻求潜在的宫颈癌肿瘤标志物。方法运用气相色谱/质谱法( gaschromatography/mass spectrometry,GC/MS)对宫颈癌患者和正常人的血清样本进行代谢组学分析,原始数据经过markerlynx XS软件处理,采用正交偏最小二乘辨别分析法进行分析( Orthognnal to partial least squares discriminant analysis,OPLS-DA),两组间结果采用t检验,寻找两组间差异性代谢产物。结果检测到血清中代谢产物共53种,多变量统计结果证明宫颈癌患者与对照组血清的代谢谱有明显差异。结论利用代谢组学法能筛选出宫颈癌患者,其代谢物对宫颈癌的诊断和治疗具有重要意义,并以此可以寻找宫颈癌新的肿瘤生物学标志物。
目的:對宮頸癌患者血清進行代謝組學分析,以尋求潛在的宮頸癌腫瘤標誌物。方法運用氣相色譜/質譜法( gaschromatography/mass spectrometry,GC/MS)對宮頸癌患者和正常人的血清樣本進行代謝組學分析,原始數據經過markerlynx XS軟件處理,採用正交偏最小二乘辨彆分析法進行分析( Orthognnal to partial least squares discriminant analysis,OPLS-DA),兩組間結果採用t檢驗,尋找兩組間差異性代謝產物。結果檢測到血清中代謝產物共53種,多變量統計結果證明宮頸癌患者與對照組血清的代謝譜有明顯差異。結論利用代謝組學法能篩選齣宮頸癌患者,其代謝物對宮頸癌的診斷和治療具有重要意義,併以此可以尋找宮頸癌新的腫瘤生物學標誌物。
목적:대궁경암환자혈청진행대사조학분석,이심구잠재적궁경암종류표지물。방법운용기상색보/질보법( gaschromatography/mass spectrometry,GC/MS)대궁경암환자화정상인적혈청양본진행대사조학분석,원시수거경과markerlynx XS연건처리,채용정교편최소이승변별분석법진행분석( Orthognnal to partial least squares discriminant analysis,OPLS-DA),량조간결과채용t검험,심조량조간차이성대사산물。결과검측도혈청중대사산물공53충,다변량통계결과증명궁경암환자여대조조혈청적대사보유명현차이。결론이용대사조학법능사선출궁경암환자,기대사물대궁경암적진단화치료구유중요의의,병이차가이심조궁경암신적종류생물학표지물。
Objective The serum of cervical cancer patients was analyzed. with metabolomics to further explore potential tumor markers. Method Serum samples from cervical cancer patients and normal people were subjected to metabolomics analysis by using gas chromatography mass spectrometry. The data were processed with markerlynx XS software and then analyzed with orthognnal to partial least squares discriminant analysis( OPLS-DA) . The results between the two groups were compared with t-test to identify the difference metabolites in two groups. Results A total of 53 metabolites were found in the serum. Multivariate statistical analysis yielded a significant distinction in the metabolic profiles between cervical cancer patients and control group. Conclusion Metabolomics is useful in choosing cervical cancer. As a novel approach,it has very important significance in the diagnosis of cervical cancer at molecular level.