2. Materials and Methods 2.1. Tissue samples and main reagents Tissue samples and experimental cells: HCC tissue microarrays were purchased from Shanghai Outdo Biotech (model HLivH160CS01); there were 80 cases of HCC, 1 each at cancer/paracancerous site. TNM staging was available, clinical phase 1, 2, 3 and 4, Summary This research aimed to investigate the differential expression of apurinic-apyrimidinic endonuclease 1 (APE1) in hepatocellular carcinoma (HCC) tissues and cells and the effects on proliferation and apoptosis of cancer cells. Immunohistochemical techniques were used to detect the expression of APE1 in 80 cases of HCC and the corresponding paracancerous tissue microarrays; meanwhile, Western blots were used to detect the expression of APE1 in both human HCC BEL-7402, BEL-7405, HCC-9204, Hep3B, HepG2, SMMC-7721 and Huh-7 cells, and normal hepatocyte L-02 cells. The relationship between APE1 expression and clinical pathological characteristics of HCC was statistically analyzed. APE1 shRNA vector was constructed in Hep 3B cells to establish a stably transfected cell line, using Western blots to determine the interference efficiency. Cell proliferation activity was detected with MTT assays, while apoptosis was detected with the Annexin V-FITC/PI double-labeling technique. The expression of APE1 in HCC tissues and cells was significantly up-regulated, and its expression was significantly different from TNM staging and histopathological grading. Down-regulation of APE1 expression significantly reduced the proliferative activity and increased the apoptosis rate of Hep 3B cells. In conclusion, APE1 demonstrates cancer progression potential at the clinical, tissue and cell level. It provides a new idea and theoretical basis for APE1-based clinical diagnosis, prognosis determination and molecular targeted therapy in treatment of HCC.
Nosocomial infection is a common complication after abdominal oncology surgery. Aimed at finding its independent risk factors for prevention, all the patients who underwent abdominal oncology surgery were summarized from March 1(st), 2010 to March 1(st), 2013 from the oncology surgery department, Beijing Shijitan Hospital. The investigated variances were patients' information including admission number, sex, age, diabetes, diagnosis, length of stay, American society of anesthesiologists (ASA) grade, surgery time, number of drainage tubes. Comparisons were taken between the infected cases and non-infected cases for retrospective logistic regression analysis. 4 variances including diabetes, preoperative hospitalization time ≥ 6 days, surgery time ≥ 230 minutes, ASA grade ≥ III were found out to be related to nosocomial infection after surgery. The 4 variances mentioned above were risk factors for nosocomial infection after surgery.
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