Mir Sartaj Ahmad, Rajagopalan Pavithra, Jain Ankit P, Khan Aafaque Ahmad, Datta Keshava K, Mohan Sonali V, Lateef Syed Salman, Sahasrabuddhe Nandini, Somani B L, Keshava Prasad T S, Chatterjee Aditi, Veerendra Kumar K V, VijayaKumar M, Kumar Rekha V, Gundimeda Seetaramanjaneyulu, Pandey Akhilesh, Gowda Harsha
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India; Manipal University, Manipal 576104, India.
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India; School of Biotechnology, KIIT University, Bhubaneswar 751024, India.
J Proteomics. 2015 Sep 8;127(Pt A):96-102. doi: 10.1016/j.jprot.2015.05.013. Epub 2015 May 14.
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive cancers with poor prognosis. Here, we carried out liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS)-based untargeted metabolomic analysis of ESCC serum samples. Statistical analysis resulted in the identification of 652 significantly dysregulated molecular features in serum from ESCC patients as compared to the healthy subjects. Phosphatidylcholines were identified as a major class of dysregulated metabolites in this study suggesting potential perturbation of phosphocholine metabolism in ESCC. By using a targeted MS/MS approach both in positive and negative mode, we were able to characterize and confirm the structure of seven metabolites. Our study describes a quantitative LC-MS approach for characterizing dysregulated lipid metabolism in ESCC.
Altered metabolism is a hallmark of cancer. We carried out (LC-MS)-based untargeted metabolomic profiling of serum from esophageal squamous cell carcinoma (ESCC) patients to characterize dysregulated metabolites. Phosphatidylcholine metabolism was found to be significantly altered in ESCC. Our study illustrates the use of mass spectrometry-based metabolomic analysis to characterize molecular alterations associated with ESCC. This article is part of a Special Issue entitled: Proteomics in India.
食管鳞状细胞癌(ESCC)是预后较差的侵袭性最强的癌症之一。在此,我们对ESCC血清样本进行了基于液相色谱-四极杆飞行时间质谱(LC-Q-TOF-MS)的非靶向代谢组学分析。统计分析结果显示,与健康受试者相比,ESCC患者血清中有652个分子特征显著失调。在本研究中,磷脂酰胆碱被鉴定为一类主要的失调代谢物,提示ESCC中磷酸胆碱代谢可能受到干扰。通过在正、负离子模式下使用靶向MS/MS方法,我们能够对7种代谢物的结构进行表征和确认。我们的研究描述了一种用于表征ESCC中失调脂质代谢的定量LC-MS方法。
代谢改变是癌症的一个标志。我们对食管鳞状细胞癌(ESCC)患者的血清进行了基于(LC-MS)的非靶向代谢组学分析,以表征失调的代谢物。发现ESCC中磷脂酰胆碱代谢显著改变。我们的研究说明了基于质谱的代谢组学分析在表征与ESCC相关的分子改变中的应用。本文是名为:印度蛋白质组学的特刊的一部分。