ObjectiveTo evaluate prognostic factors and the surgical results of pulmonary carcinoid tumors.Methods We retrospectively reviewed the medical records of 62 patients who were diagnosed as pulmonary carcinoid tumors between January 2000 and October 2010 at Department of Thoracic Surgery,Shanghai Chest Hospital.The following information was available for each of the 62 patients:age,sex,pathological type,and TNM stage.ResultsThere were no operative death.The 3-year and 5-year survival rates after surgery were 92.1％ and 77.8％,respectively.Of the 62 patients,42 were diagnosed as typical carcinoid tumor,and among them,4 patients (8.3％) had lymph node metastases.Their 3-year and 5-year survival rates were 97.8％ and 94.7％,respectively.The remaining 20 patients were diagnosed as atypical carcinoid tumor,and among them,6 patients (37.5％) had lymph node metastases.Their 3-year and 5-year survival rates were 84.4％ and 58.8％,which were statistically significant compared with typical carcinoid tumor( P =0.0047 ).There was significant difference in survival rate between the patients with lymph node metastases and the patients without lymph node metastases (P =0.0048).CondusionThe main risk factors affecting survival rate of those patients who were diagnosed as pulmonary carcinoid tumors were pathological types and lymph node metastases.

Objective To study nano-structured porous polycaprolactone combined with bone marrow stromal cells on CTGF expression in rabbit impaired cartilage. Methods 50 rabbits were randomly divided into normal group, model group, NSP-PCL group, BMSCs group, or NSP-PCL + BMSCs group. A model of rabbit impaired cartilage was surgically established. Then NSP-PCL, BMSCs, and NSP-PCL + BMSCs were separately administered to the latter three groups once a week from the 2nd week to the 5th week after the procedure. The impaired cartilage tissues were collected 24 h after the last administration. The cartilage tissues were pathologically examined by H & E staining. Number of surviving BMSCs was detected by Hoeehst33342 Markers 1 week and 3 weeks after transplantation. Levels of CTGF protein in cartilage were determined by immunohistochemistry and Western blotting. Results In the model group, cartilage layer became thinner, with proliferation of fibroblast cells and a obvious cartilage surface hollow; New cartilage cells appeared in the surface hollow of the impaired cartilage in each treatemnt group, with a thicker layer. The number of transplanted BMSCs after 3 weeks was significantly increased in BMSCs group and NSP-PCL + BMSCs group. As compared with the model group, levels of CTGF protein were increased in each treatment group, with significant differences (P < 0.05). Conclusions Nano-porous polycaprolactone combined with bone marrow mesenchymal stem cells can repair cartilage damage by enhancing the expression of CTGF protein.

Objective To study the expression of cyclin E and epidermal growth factor receptor (EGFR) in breast carcinoma and their correlation with metastasis,relapse and survival time. [WT5”HZ]Methods Cyclin E and EGFR expressions at protein level were determined by immunohistochemistry technique in 110 patients with breast carcinoma. Results Of the 110 patients,cyclin E and EGFR positive expression were both in 60 (54.55%),and there was a positive relationship between cyclin E and EGFR expression (r s=0.823,P =0.001);Cyclin E and EGFR expression level were correlated with clinical stage (? 2=12.86,P =0.005;? 2=14.21,P =0.004),tumor histological grading (? 2=8.86,P =0.005;? 2=4.90,P =0.04),lymph node metastasis (? 2=10.22,P =0.001;? 2=9.62,P =0.002),ER expression (? 2=29.8,P =0.001;? 2=32.08,P =0.001) and PR expression (? 2=19.56,P =0.001;? 2=26.92,P =0.001). The rate of local relapse and distant metastasis in cases with positive cyclin E and EGFR expression were significantly higher than that in cases with negative expression (? 2=7.33,P =0.01;? 2=7.88,P =0.005);The mean survival time and 5-year survival rate in cases with positive cyclin E and EGFR was significantly shorter than that in cases with negative expression. [WT5”HZ]ConclusionCyclin E and EGFR expression can predict the relapse and metastasis of breast carcinoma. They can be used as markers of prognosis of breast carcinoma in clinical practice.

Objective To establish a human colon cancer multi-drug resistant cell line LS174T/5-fluorouracil(5-Fu) and to explore its biological characteristics. Methods A resistant human colon cancer line LS174T/5-Fu was established by stepwise increasing concentrations of fluorouracil selection from the parental cell line LS174T.Drug sensitivity was detected by MTT assay,and the changes of biological characteristics were determined by light microscopy,cell counting,flow cytometry and RT-PCR. Results LS174T/5-Fu cell line was developed after 6 months with stable resistance to 5-Fu and a resistance index of 40.24.The cells exhibited cross-resistance to cisplatin,etoposide,doxifluridine and hydeoxycamptothecin.LS174T/5-Fu cells grew more slowly than LS174T cells,which was longer than LS174T cell line.Cell cycle distribution of LS174T/5-Fu cells was changed compared with parental cells.The percentage of cells in G_(1) and S phase was increased,while in G_(2) phase was decreased.The level of MRP mRNA expression was increased according to the concentration of 5-Fu in resistant cell lines. Conclusion LS174T/5-Fu cells is a reliable multi-drug resistant cell subline of human colon cancer.The successful establishment of this cell subline has laid a solid foundation for further study of the multi-drug resistant mechanism of human colon cancer induced by 5-fluorouracil.

Objective To study the expression level of myostatin in the gastrocnemius muscle of cancer cachexia mice and to observe the improvement of the status and the influence on myostatin expression by use of meloxicam.(Methods The) tumor-bearing cachexia mice model was established by Lovo cell line subcutaneous inoculation.Twenty-four BALB/c mice were randomly divided into 3 groups(n=8 for each group):group A,control;group B,tumor-bearing mice plus saline;group C,tumor-bearing mice plus meloxicam(5 mg/kg).The food intake and body composition were documented.The expression of myostatin in the gastrocnemius muscle was investigated by RT-PCR and immunohistochemistry in all the animals,and the correlation analysis between serum TNF? and myostatin was conducted. Results The body weight of group B was about 60% of group A,and the average food intake was significantly declined(P

Objective To investigate the regulatory effect of miR-21 on ADAMTS-1 expression in pulmonary fibrosis model. Methods A mouse model of pulmonary fibrosis was established using bleomycin (BLM) anda model of pulmonary fibrosis was constructed in vitro , the expression level of miR-21 was measured by quantitative real-time polymerase chain reaction (qRT-PCR), while the protein expression of ADAMTS-1 was measured by Western blot. NIH3T3 were transfected with miR-21 mimics and inhibitor in vitro and the cellular expression of ADAMTS-1 was measured by Western blot. Results Compared with the blank group , in mouse models of pulmonary fibrosis , the miR-21 expressions in lung tissues at three time points after BLM-treatment were significantly up-regulated while an evident decrease in ADAMTS-1 expressions were observed (P < 0.01). In vitro pulmonary fibrosis model , NIH3T3 cells after TGF-β1 in concentration 5 μg/L stimulation down-regulated ADAMTS-1 expression and up-regulated miR-21 expression (P < 0.01). NIH3T3 transfected with miR-21 mimics and inhibitor, up-regulated miR-21 expression, while down-regulated ADAMTS-1 protein expression. Conclusions Up-regulation of miR-21 and Down-regulation of ADAMTS-1 might be involved in the progression of pulmonary fibrosis model; miR-21 could negatively regulate ADAMTS-1 expression.

BACKGROUND:3D printing technology for preoperative planning has been a trend at present. Moreover, this technology has been extensively used in bone tumor resection and maxilofacial surgery, but seldom used in fracture repair. OBJECTIVE: To explore the value of 3D printing technology application in preoperative evaluation of pelvic fracture, planning and during surgery. METHODS:Pelvic fracture patients underwent preoperative CT scan. Pelvic models of the patients were printed using 3D printing technology at 1:1. Preoperative processing was conducted, including choice of approach, design of incision exposure range, design of fracture reduction, pre-implantation position of the steel plate, optimal plastic design of steel plate, measurement of screw length and design of screw direction. Matta score of pelvic fracture reduction and Majeed score of pelvic function after repair were measured during folow-up. RESULTS AND CONCLUSION:The operation time was 55-130 minutes, averagely (84.75±20.15) minutes. Intraoperative blood loss was 200-800 mL, averagely (417.00±173.58) mL. After operation, no incision infection, fracture nonunion, fixator loosening or breakage appeared. Al patients were folowed up for 8-24 months. The fracture healing time was 10-16 weeks, averagely 12.5 weeks. Fracture reduction was assessed according to Matta scoring: excelent in 15 cases, good in 3 cases, average in 2 cases, and poor in 0 case, with an excelent and good rate of 90%. Postoperative function was assessed according to Majeed scoring: excelent in 13 cases, good in 5 cases, average in 2 cases, and poor in 0 case, with an excelent and good rate of 90%. These findings showed that the application of 3D printing technology in pelvic fracture can determine the fracture’s displacement, is helpful for accurate reduction and plate modeling, reduces surgery duration and intraoperative blood loss and complication, finaly achieves better surgical result. 3D printing technology can better evaluate and plan the pelvic fracture before repair, and can be used as a routine project preparation of pelvic fracture repair.

Objective To investigate Lovastatin's effects on proliferation and adhesion of human umbilical vein endothelial cells (HUVECs). Methods Culture medium with different concentration of Lovastatin(0.001、0.01、0.1、1.0、10μmol/L) was prepared, HUVECs was cultured in 96 well-plate with the different medium. AT the point of 24,72 and 120 h, the cell's activity and quantity was assessed by MTT. HUVECs was cultured with Lovastatin in 6 well-plate for 24 hours, then collected the cells by trypsin digestion. The cells were seeded in 24 well-plate with 2×104/ml and adhering for 30 mins. Then counting the adhered cells in different wells. Results At 24 h, Lovastatin (0.01、 0.1 μmol/L ) promoted proliferation of HUVECs ( P ＜ 0.05 ); at 72 h, Lovastatin ( 1.0μmol/L) was positive accelerating cell growth(P＜ 0.05 ). While Lovastatin ( 10μmol/L) inhibited the proliferation significantly ( P ＜0.05 ) at 120 h. As HUVECs was cultured with Lovastatin for 24 hours, Lovastatin (0.1、1μmol/L) inhanced the adhesion capability of HUVECs significantly( P＜ 0.05 ). Conclusion Lovastatin had biphasic effects on proliferation and adhesion of HUVECs dependent on the concentration. Lovastatin (0.1、1.0 μmol/L) could promote the proliferation and adhesion, while at higher concentration ( 10.0μmol/L) it inhibits cell proliferation and adhesion.

Three bacteria of decomposing lecithin and 4 bacteria of dissolving aptite were incubated for 4 weeks with sand media respectively. Phosphorus in the sand was extracted with distilled water and measured by different methods. It was found that the bacteria have a quite different ability to release P from the materials. Part of the P released became organic phosphorus compounds in microbial tissue. However, a large amount of the P was reserved in microbial cells in a form of phosphates. The direct measurement of P in the extract by molybdenum blue method would underestimate the capacity of the bacteria to release P from the materials. The correct approach was that the sand was fumigated with chloroform and then digested with acid before the measurement by molybdenum blue method.

This paper presented the conventional methods for signal detection of adverse drug reactions (ADRs) and their applications, the research progress in ADRs signal mining based on healthcare big data, and briefed the methods and uses of ADRs prediction using machine learning technology in the era of healthcare big data.The conclusion was that deep learning, as a fast growing tool in machine learning, will become hotspot of research, expected to help with ADRs signal mining and rational clinical drug use.