Poster Presentation
Biography
Abstract
Background: The mechanism underlying the transition from simple steatosis to the more severe form NASH remains unclear thus far. Aim: To investigate the lipidomic profile alteration during the transition of non-NASH to NASH in human livers, and to identify hepatic lipid biomarkers which can discriminate between NASH and non-NASH liver samples. Materials & Methods: Two independent sets (n=119 and n=106) of liver tissue samples collected from transplantation donors without heavy alcohol intake and viral hepatitis were characterized for histology. Lipidomic profiling was conducted for both sample sets. Liver tissues were classified as non-NASH or NASH. For lipidomic analyses, we use the first set as a discovery set (n=119) and the other as a validation set (n=106). A multivariate analysis was performed to identify lipids that discriminate NASH and non-NASH samples accurately. Elastic net logistic regression along with 10-fold cross validation was used. Validation was conducted using lipidomics data of 106 liver tissue samples obtained independently from another data set. Results: We found that 75 phospholipids are significantly different between NASH and non-NASH samples in the discovery set (p<0.01), among which 52 (69%) remained significant in the validation set (p<0.05). The majority of these lipids are phosphatidylcholines (PCs) and ester phosphatidylcholines (ePCs). 10 lipids (p<0.01) were found to discriminate NASH versus non-NASH accurately, with an AUROC (Area Under the Receiver Operating Characteristic) curve = 0.89. The same 10-lipid signature produced an AUROC of 0.92 in the validation set, with 3 lipids remained significant (p<0.05). By focusing on these 3 lipids that are significantly associated with NASH in both sets, we observed an AUROC of 0.83 and 0.82 in the discovery and validation data set, respectively. Conclusion: Our study highlighted the important role of phosphatidylcholines in the development of NASH. Further investigation of these lipids among larger biopsy-proven NASH samples as well as in serum samples are warranted.
Biography
Ho Gak Kim has completed his MD from Kyungpook National University School of Medicine, Taegu, South Korea. He is the Chief Physician at Catholic University of Daegu School of Medicine, Daegu, South Korea since 2013. He has published more than 100 papers in reputed journals and has been serving as a President of Korean Pancreaticobiliary Association since 2014, and Editorial Board Member of Clinical Endoscopy.
Abstract
Introduction: Pancreatic cancer is among the most common cancers associated with pulmonary thromboembolism (PTE). Moreover, PTE has developed in patients with thrombocytopenia as well as thrombocytosis during gemcitabine-based chemotherapy. Aim: The present study was aimed to determine the change of platelet count and the associated risk of PTE. Methods: A retrospective 1:2 matched cohort study was performed to evaluate the risk of PTE in patient with gemcitabine-based chemotherapy for pancreatic cancer. Clinical parameter including rate of increment of platelet count (Inc-Plt) was checked in PTE group and non-PTE group. Inc-Plt was defined as the difference of platelet count from new cycle day 1 to last cycle day 15. The rate of Inc-Plt was defined as the rate of increased platelet count at new cycle day 1 compared with previous cycle day 15. Each patient in PTE group was matched with two patients in the non-PTE group. Inc-Plt = Platelet count at new cycle D1 ˗ Platelet count at last cycle D15 Rate of Inc ˗ Plt = Platelet count at new cycle D1 ˗ Platelet count at last cycle D15 Platelet count at last cycle D15 Results: From January 2010 to March 2015, 12 patients (9.1%) were diagnosed PTE during chemotherapy (PTE group) among 132 patients who received gemcitabine-based chemotherapy and 24 patients who did not have PTE were matched in non-PTE group. Age, sex proportion, body mass index, presence of metastasis, gemcitabine amount, previous anti-platelet agent medication, Karnofsky performance scale were not different significantly between two groups. The average Inc-Plt was 123,649±109,864/µl in PTE group and 141,978±129,846/µl in non-PTE group (p=0.42). The average rate of Inc-Plt was significantly higher in PTE group (32.1% in PTE group vs. 20.4% in non-PTE group, p=0.033). The average rate of Inc-Plt more than 30% was observed more frequently in PTE group (4.3±1.6 in PTE group vs. 2.1±1.8 in non-PTE group, p=0.039). Conclusion: The incidence of PTE was 9.1% during gemcitabine-based chemotherapy in pancreas cancer. The increment of platelet count and high level of platelet during chemotherapy are the risk of PTE.