RESUMEN
BACKGROUND: Pancreatic cancer is a highly heterogeneous disease, making prognosis prediction challenging. Altered energy metabolism to satisfy uncontrolled proliferation and metastasis has become one of the most important markers of tumors. However, the specific regulatory mechanism and its effect on prognosis have not been fully elucidated. AIM: To construct a prognostic polygene signature of differentially expressed genes (DEGs) related to lipid metabolism. METHODS: First, 9 tissue samples from patients with pancreatic cancer were collected and divided into a cancer group and a para-cancer group. All patient samples were subjected to metabolomics analysis based on liquid tandem chromatography quadrupole time of flight mass spectrometry. Then, mRNA expression profiles and corresponding clinical data of pancreatic cancer were downloaded from a public database. Least absolute shrinkage and selection operator Cox regression analysis was used to construct a multigene model for The Cancer Genome Atlas. RESULTS: Principal component analysis and orthogonal projections to latent structures-discriminant analysis (OPLS-DA) based on lipid metabolomics analysis showed a clear distribution in different regions. A Euclidean distance matrix was used to calculate the quantitative value of differential metabolites. The permutation test of the OPLS-DA model for tumor tissue and paracancerous tissue indicated that the established model was consistent with the actual condition based on sample data. A bar plot showed significantly higher levels of the lipid metabolites phosphatidylcholine (PC), phosphatidyl ethanolamine (PE), phosphatidylethanol(PEtOH), phosphatidylmethanol (PMeOH), phosphatidylserine (PS) and diacylglyceryl trimethylhomoserine (DGTS) in tumor tissues than in paracancerous tissues. According to bubble plots, PC, PE, PEtOH, PMeOH, PS and DGTS were significantly higher in tumor tissues than in paracancerous tissues. In total, 12.3% (25/197) of genes related to lipid metabolism were differentially expressed between tumor tissues and adjacent paracancerous tissues. Six DEGs correlated with overall survival in univariate Cox regression analysis (P < 0.05), and a 4-gene signature model was developed to divide patients into two risk groups, with patients in the high-risk group having significantly lower overall survival than those in the low-risk group (P < 0.05). ROC curve analysis confirmed the predictive power of the model. CONCLUSION: This novel model comprising 4 lipid metabolism-related genes might assist clinicians in the prognostic evaluation of patients with pancreatic cancer.
RESUMEN
OBJECTIVE: To observe the effect of purgation and detoxification therapy on gastrointestinal dysfunction of critically ill patients undergoing abdominal surgery. METHODS: Totally 56 inpatients with severe gastrointestinal dysfunction after abdominal surgery at ICU of Guangdong Provincial Hospital of Traditional Chinese Medicine were assigned to the treatment group and the control group, 28 in each group. All patients received routine Western medical treatment. Patients in the treatment group additionally took Modified Huanglian Jiedu Decoction (MHJD) and received electroacupuncture (EA) for 7 days. The first exhaust time, defecation time, scores for gastrointestinal dysfunction, mechanical ventilation time, ICU hospitalization time, and 28-day fatality rate were observed. Furthermore, serum levels of diamine oxidase (DAO) and D-lactic acid were detected at day 1, 3, and 7 after treatment. RESULTS: The first exhaust time and the first defecation time in the treatment group were ahead of schedule, when compared with those of the control group (P <0. 05). Scores for gastrointestinal dysfunction, mechanical ventilation time, serum levels of DAO obviously decreased in the treatment group (P <0. 05). There was no statistical difference in serum levels of D-lactic acid, ICU stay time, the incidence of pulmonary infection, and 28-day mortality between the two groups (P >0. 05). Results of Logistic analysis showed that scores for gastrointestinal dysfunction were related with the incidence of pulmonary infection (P <0. 05). CONCLUSION: MHJD combined EA could promote the recovery of gastrointestinal function in critically ill patients after abdominal surgery via improving intestinal barrier function, which was benefit for shortening mechanical ventilation time.