ABSTRACT
Pancreatic cancer is one of the deadliest cancers with very poor prognosis, and the five-year survival rate of the patients is less than 5% after diagnosis. Kallikrein-related peptidases (KLKs) belong to a serine protease family with 15 members that play important roles in cellular physiological behavior and diseases. The high expression level of KLK7 in pancreatic cancer tissues is considered to be a marker for the poor prognosis of this disease. In this work, we set out to investigate whether KLK7 could be a target for the treatment of pancreatic cancer. Short hairpin RNAs (shRNAs) were designed and constructed in lentivirus to knock down KLK7 in pancreatic cancer cell line PANC-1, and the real time cellular analysis (RTCA) was used to evaluate cell proliferation, migration and invasion abilities. Small molecules inhibiting KLK7 were discovered by computer-aided drug screening and used to inhibit PANC-1 cells. Our results confirmed that KLK7 is significantly up-regulated in pancreatic cancer tissue, and knocking down or inhibiting KLK7 efficiently inhibited the proliferation, migration and invasion of pancreatic cancer cells. This study suggested that KLK7 could be a potential chemotherapy target for treatment of pancreatic cancer, which would provide us a novel strategy for the treatment of this disease.
ABSTRACT
PURPOSE: In our previous study, we have established the clinical significance of the SFLI (scoring formula of liver injury), the purpose of this study was to compare the SFLI system and the Child-Pugh grading system in the prediction of postoperative mortality in patients with hepatocellular carcinoma (HCC). METHODS: 114 patients with HCC who underwent surgical treatment were enrolled. According to the requirement of the indicators for the Child-Pugh classification, various indices (including albumin [ALB], total bilirubin [TBIL], prothrombin time [PT], ascites, and hepatic encephalopathy) were considered in these patients before surgery, and then Child-Pugh grading was performed. Similarly, the serum biochemical markers including ALB, pre-albumin (PA), TBIL, serum creatining (SCR), international normalized ratio (INR), alanine transminase (ALT), aspartate transaminase (AST), γ-glutamyl transpeptidase (ggr;-GT), alkaline phosphatase (ALP), PT, activated partial thromboplastin time (APTT), and thrombine time (TT) were collected before surgery for SFLI analysis. The predicted postoperative mortality rates of these two scoring models and their diagnostic efficacy were analyzed and compared. RESULTS: According to the Child-Pugh grading system, in level A, B and C were 75, 35, and 4 cases respectively, and the corresponding mortality rates were 1.3% (1/75), 17.1% (6/35) and 75% (3/4). Meanwhile, according to the SLFI classification, the number of patients in the grade I, I+, II, and III were 36, 29, 28, and 21, respectively, and the corresponding mortality rates were 0, 0, 14.3% (4/28), and 28.6% (6/21), respectively. The patient mortality rate increased significantly with increasing grading (p<0.01). These two classification methods were further compared using ROC analysis, in which the area under the curve (AUC) for the Child-Pugh method was 10.2% with a 95% confidence interval (95% CI) 17-18, and the AUC of SFLI was 88.2% with a 95% CI 80-96. CONCLUSION: The SFLI scoring system is very useful in the assessment of liver function and postoperative mortality, and its grading standard is much better than the traditional Child-Pugh classification in many aspects.
