Lianyuan Tao1,2, Juntuo Zhou3, Chunhui Yuan2, Lingfu Zhang2, Deyu Li1, Dandan Si4, Dianrong Xiu5, Lijun Zhong6. 1. Department of Hepatobiliary Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, 450003, Henan, China. 2. Department of General Surgery, Peking University Third Hospital, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China. 3. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China. 4. AB Sciex Analytical Instrument Trading Co., Ltd. Beijing Office, Beijing, 100015, China. 5. Department of General Surgery, Peking University Third Hospital, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China. xiudianrong@hotmail.com. 6. Medical and Health Analytical Center, Peking University Health Science Center, Beijing, 100191, China. zhonglijun@bjmu.edu.cn.
Abstract
INTRODUCTION: Pancreatic cancer (PC) is one of the most aggressive malignancies, and it's difficult to diagnosis PC at an early stage, which leads to the poor prognosis of PC. OBJECTIVES: To identifiy the possible prognosis or dignosis metabolite biomarkers in the serum exosome of PC patients. METHODS: We employed LC-DDA-MS based untargeted lipidomic analysis to search for potential candidate biomarkers in the serum exosome of PC patients. Then LC-MRM-MS based targeted lipid quantification was used to validate the trends of the candidate biomarkers in larger sample cohorts. RESULTS: About 270 lipids belonging to 20 lipid species were found significantly dysregulated between the serum exosome of PC patients and healthy controls. 61 of them were validated in larger samples size. We further analysis the correlation between these dysregulated lipids and other PC related factors, and results show that LysoPC 22:0, PC (P-14:0/22:2) and PE (16:0/18:1) are all associated with tumor stage, CA19-9, CA242 and tumor diameter. What's more, PE (16:0/18:1) is also found to be significantly correlated with the patient's overall survival. CONCLUSION: These data reveal dysregulated lipids in serum exosome of PC patients, which have potential to be biomarkers for diagnosis, or unveil pathological relationship between exosome and PC progress.
INTRODUCTION:Pancreatic cancer (PC) is one of the most aggressive malignancies, and it's difficult to diagnosis PC at an early stage, which leads to the poor prognosis of PC. OBJECTIVES: To identifiy the possible prognosis or dignosis metabolite biomarkers in the serum exosome of PC patients. METHODS: We employed LC-DDA-MS based untargeted lipidomic analysis to search for potential candidate biomarkers in the serum exosome of PC patients. Then LC-MRM-MS based targeted lipid quantification was used to validate the trends of the candidate biomarkers in larger sample cohorts. RESULTS: About 270 lipids belonging to 20 lipid species were found significantly dysregulated between the serum exosome of PC patients and healthy controls. 61 of them were validated in larger samples size. We further analysis the correlation between these dysregulated lipids and other PC related factors, and results show that LysoPC 22:0, PC (P-14:0/22:2) and PE (16:0/18:1) are all associated with tumor stage, CA19-9, CA242 and tumor diameter. What's more, PE (16:0/18:1) is also found to be significantly correlated with the patient's overall survival. CONCLUSION: These data reveal dysregulated lipids in serum exosome of PC patients, which have potential to be biomarkers for diagnosis, or unveil pathological relationship between exosome and PC progress.
Authors: Xinchun Zhou; Thomas J Lawrence; Zhi He; Charles R Pound; Jinghe Mao; Steven A Bigler Journal: Exp Mol Pathol Date: 2011-11-11 Impact factor: 3.362
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Authors: Fantahun Biadglegne; Johannes R Schmidt; Kathrin M Engel; Jörg Lehmann; Robert T Lehmann; Anja Reinert; Brigitte König; Jürgen Schiller; Stefan Kalkhof; Ulrich Sack Journal: Biomedicines Date: 2022-03-27