中华实验外科杂志
中華實驗外科雜誌
중화실험외과잡지
Chinese Journal of Experimental Surgery
2015年
11期
2646-2650
,共5页
白建喜%黄鹤光%李志水%冯江华%文实%林贤超%胡伟泽
白建喜%黃鶴光%李誌水%馮江華%文實%林賢超%鬍偉澤
백건희%황학광%리지수%풍강화%문실%림현초%호위택
胰腺癌%代谢组学%核磁共振氢谱
胰腺癌%代謝組學%覈磁共振氫譜
이선암%대사조학%핵자공진경보
Pancreatic cancer%Metabonomics%Nuclear magnetic resonance 1 H spectroscopy
目的 观察胰腺癌组织、癌旁组织和正常组织代谢组的差异,进而筛选与胰腺癌发病相关的潜在生物标志物.方法 收集胰腺癌癌症患者手术切除下的胰腺导管腺癌组织(HPC) 19例,癌旁组织(HPP) 13例,正常组织(HPN)7例.采用甲醇-氯仿法萃取、上清液冻干等预处理后,采用核磁共振波谱并结合多变量统计分析处理,筛选出特征性代谢生物标志物和相应的代谢路径.结果 HPC-HPP和HPN-HPP建模效果不够理想;HPC-HPN建模成功,模型的解释率R2Y=0.765,预测率Q2=0.607,共筛选出24种差异代谢物.癌组织中1-甲基组氨酸、β-羟基丁酸、丙氨酸、一磷酸腺苷、三磷酸腺苷、乙醇胺、富马酸、甘氨酸、甘油磷脂酰胆碱、肌苷、异丁酸、甲硫氨酸、N-乙酰天冬氨酸、烟酰胺腺嘌呤二核苷酸、N-乙酰血清素、苯丙氨酸、丙酮酸、色氨酸、酪氨酸、尿嘧啶核苷、尿苷二磷酸葡萄糖的含量相对正常组降低,而亮氨酸和苏氨酸的含量在癌症组中升高.结论 成功建立了腺癌组织和正常组织模式识别,从中找到了可以用来区别癌症和正常组织的生物标志物.
目的 觀察胰腺癌組織、癌徬組織和正常組織代謝組的差異,進而篩選與胰腺癌髮病相關的潛在生物標誌物.方法 收集胰腺癌癌癥患者手術切除下的胰腺導管腺癌組織(HPC) 19例,癌徬組織(HPP) 13例,正常組織(HPN)7例.採用甲醇-氯倣法萃取、上清液凍榦等預處理後,採用覈磁共振波譜併結閤多變量統計分析處理,篩選齣特徵性代謝生物標誌物和相應的代謝路徑.結果 HPC-HPP和HPN-HPP建模效果不夠理想;HPC-HPN建模成功,模型的解釋率R2Y=0.765,預測率Q2=0.607,共篩選齣24種差異代謝物.癌組織中1-甲基組氨痠、β-羥基丁痠、丙氨痠、一燐痠腺苷、三燐痠腺苷、乙醇胺、富馬痠、甘氨痠、甘油燐脂酰膽堿、肌苷、異丁痠、甲硫氨痠、N-乙酰天鼕氨痠、煙酰胺腺嘌呤二覈苷痠、N-乙酰血清素、苯丙氨痠、丙酮痠、色氨痠、酪氨痠、尿嘧啶覈苷、尿苷二燐痠葡萄糖的含量相對正常組降低,而亮氨痠和囌氨痠的含量在癌癥組中升高.結論 成功建立瞭腺癌組織和正常組織模式識彆,從中找到瞭可以用來區彆癌癥和正常組織的生物標誌物.
목적 관찰이선암조직、암방조직화정상조직대사조적차이,진이사선여이선암발병상관적잠재생물표지물.방법 수집이선암암증환자수술절제하적이선도관선암조직(HPC) 19례,암방조직(HPP) 13례,정상조직(HPN)7례.채용갑순-록방법췌취、상청액동간등예처리후,채용핵자공진파보병결합다변량통계분석처리,사선출특정성대사생물표지물화상응적대사로경.결과 HPC-HPP화HPN-HPP건모효과불구이상;HPC-HPN건모성공,모형적해석솔R2Y=0.765,예측솔Q2=0.607,공사선출24충차이대사물.암조직중1-갑기조안산、β-간기정산、병안산、일린산선감、삼린산선감、을순알、부마산、감안산、감유린지선담감、기감、이정산、갑류안산、N-을선천동안산、연선알선표령이핵감산、N-을선혈청소、분병안산、병동산、색안산、락안산、뇨밀정핵감、뇨감이린산포도당적함량상대정상조강저,이량안산화소안산적함량재암증조중승고.결론 성공건립료선암조직화정상조직모식식별,종중조도료가이용래구별암증화정상조직적생물표지물.
Objective By studying the metabolic profile differences of pancreatic cancer tissue, paracancerous tissue and normal pancreatic tissue, find out some significant biomarkers for the pancreatic cancer diagnosis and further researches.Methods 19 cases of pancreatic ductal adenocarcinoma (HPC), 13 cases of paracancerous tissues (HPP) and 7 cases of normal pancreatic tissue(HPN) were collected from the pancreatic cancer patients.The pancreatic tissues from each group underwent pre-treatments including methanol-chloroform extraction and freeze drying of supernate.NMR spectroscopy was applied to screen out the potential metabolic biomarkers and the corresponding pathways relevant to normal pancreatic tissue and pancreatic cancer tissue by combination with the multivariate statistical analyses.Results The modelings of paracancerous tissue vs cancer tissue (HPC-HPP), paracancerous tissue vs normal tissue (HPN-HPP) are invalid, however carcinoma tissue vs normal tissue(HPC-HPN) modeling is successfully constructed and stable, R2Y of the model is 0.765, Q2 of the model is 0.607.The metabolic analysis revealed relatively increased level of leucine, threonine, and lower level of 1-methylhistdine, 3-hydroxybutyrate, alanine, adenosine phosphate (AMP), adenosine triphosphate (ATP), ethanolamine, fumarate, glycine, glycerol phosphatidylcholine (GPC), inosine, isobutyrate, methoinine, N acetyl aspartic acid (NAA), nicotinamide adenine dinucleotide (NAD), N-acetyl serotonin (NAS), phenylalanine (Phe), pyruvate, tryptophan, tyrosine, uridine, uridine diphosphate glucose two phosphate (UDPG) in the pancreatic cancer tissue compared to that of normal pancreatic tissue.Conclusion The metabolic profile of pancreatic cancer tissue and normal pancreatic tissue is significantly discriminated and the biomarkers may contribute to find the therapeutic target of pancreatic cancer and its further research.