e22076 Background: To evaluate clinical value of biological markers and their prognostic significance in gastric cancer as well as prediction to clinic outcome; To select preference marker for targeted therapy in high risk patients hence to guide personalized treatment. Methods: Retrieved from total 394 patients treated during the period of Jan 2004 to June 2006 of Cancer Hospital, Fudan University with complete medical records and follow up data, 84 patients with pre- and post- operative biological markers examined were selected. All of these patients underwent R0 gastrectomy, 61 (72.6%) patients underwent D2 resection. Forty- one (48.8%) patients received ≥ 4 cycles adjuvant chemotherapy. Preoperative tumor markers include: CEA, AFP, CA199, CA50, CA72–4, CA24–2 and postoperative immunohistochemical examination include: Bax, Bcl-2, P27, CyclinD1, TOPO2, MDR, GST-π, Ki67, AgNOR, EGFR, P21, P53, PCNA, C-myc and Neu were analyzed. Univariate, multivariate and Logistic regression analysis were performed and Kapan-Meier estimates were calculated. Results: For the whole group, 2-year OS and PFS were 76% and 66% respectively. Logistic regression analysis showed bcl-2, ki67, c-myc2 and Neu were relative with more nodal involvement. Patients with lower level of CEA, CA72–4 and higher level of cyclin D1 suivived longer than the other patients. There were different clinical significance with those biomarkers. Patients with lower level of cyclinD1, CEA had more local regional recurrence (p=0.026) while patients with higher PCNA experienced more distant metastasis (p=0.005). Univariate analysis showed that clinical staging, level of cyclinD1 and CEA were correlated with OS (p<0.05). Conclusions: Biological markers may be helpful in predicting the clinical outcome and prognosis for R0 resected gastric cancer patients. Further study are needed to confirm their clinical significance. No significant financial relationships to disclose.
Abstract Background Osteoporosis affects 200 million people worldwide and places an enormous economic burden on society. We aim to identify the feature genes that are related to osteoprotegerin in osteoporosis and to perform function analysis with DNA microarray from human bone marrow. Methods We downloaded the gene expression profile GSE35957 from Gene Expression Omnibus database including nine gene chips from bone marrow mesenchymal stem cells of five osteoporotic and four non-osteoporotic subjects. The differentially expressed genes between normal and disease samples were identified by LIMMA package in R language. The interactions among the osteoprotegerin gene ( OPG ) and differentially expressed genes were searched and visualized by Cytoscape. MCODE and Bingo were used to perform module analysis. Finally, GENECODIS was used to obtain enriched pathways of genes in an interaction network. Results A total of 656 genes were identified as differentially expressed genes between osteoporotic and non-osteoporotic samples. IL17RC, COL1A1, and ESR1 were identified to interact with OPG directly from the protein-protein interaction network. A module containing ERS1 was screened out, and this module was most significantly enriched in organ development. Pathway enrichment analysis suggested genes in the interaction network were related to focal adhesion. Conclusions The expression pattern of IL17RC , COL1A1 , and ESR1 can be useful in osteoporosis detection, which may help in identifying those populations at high risk for osteoporosis, and in directing treatment of osteoporosis.
Three-dimensional (3D) biomodels are essential for clinical orthopaedics. In this study, in order to improve the outcomes of orthopaedic surgical intervention and its clinical medical education, an advanced computer-based rapid prototyping (RP) biomodelling technique was used to fabricate 3D real size physical models of complex cases including highly difficult fractures and severe bone and joint deformities. As a result, the RP-produced vivid models made great contributions to achievement of much better understanding and preoperative planning for complex orthopaedic cases. On the other hand, outcomes of clinical medical education for orthopaedic residents and junior doctors were improved.
Nanosized β-tricalcium phosphate (TCP) material was produced in this study using a wet precipitation method and characterized by transmission electron microscopy (TEM) and X-ray diffraction (XRD). Human ovarian sarcoma SKOV-3 cells were cultured and the influence of nanoscale β-TCP particles on SKOV-3 cell behavior was studied in vitro. As a result, β-TCP nanoparticles with average size of 100 nm were obtained. Cell growth of SKOV-3 cells was noticeably declined in the presence of β-TCP nanoparticles (200ng/ml). The distribution of cell cycle for SKOV-3 cells cultured with and without β-TCP nanomaterials was quite different. In G1 phase of cell cycle, the percentage of SKOV-3 cells cultured in the absence of β-TCP nanoparticles was significantly lower than that cultured in the presence of β-TCP nanoparticles (p<0.01). In S phase of cell cycle, on the other hand, the percentage of SKOV-3 cells cultured without β-TCP nanoparticles was noticeably increased compared with that cultured with β-TCP nanoparticles (p<0.01). Moreover, the expression of proliferating cell nuclear antigen (PCNA) in SKOV-3 cells cultured in medium containing 200ng/ml β-TCP nanopaticles was significantly lower than that in the cells cultured without β-TCP nanoparticles (p<0.01). In conclusion, the nanoscale β-TCP material synthesized in this study can exert anti-tumor effects on SKOV-3 cells through mechanisms of cell growth inhibition, downregulation of PCNA expression and cell cycle arrest at G1 phase.
Objective:To analyze the risk factors related to prognosis of 91 patients with simultaneous liver metastases from colo-rectal cancer. Methods:We retrospectively analyzed the survival-related factors of 91 patients with simultaneous liver metastases from colorectal cancer using the multivariate COX analysis. Results:The median survival time of 91 patients with simultaneous liver metastases from colorectal cancer was 16.8 months. The survival rates at 1, 3 and 5 years were 61.54%, 14.79%, and 8.87%, respectively. Univariate analysis showed that resection of primary tumor, the staging of liver metastasis, transcatheter arterial chemoembilization (TACE), radiotherapy, physical therapy, chemotherapy, use of new anti-tumor agents were all independently related with the prognosis of colorectal cancer patients. COX regression analysis demonstrated that staging of liver metastasis, resection of primary tumor, TACE and physical therapy were the key factors affecting the prognosis of the colorectal cancer patients with simultaneous liver metastases. Conclusion:The survial time of colorectal cancer patients with simultaneous liver metastases could be elongated by resecting primary tumors and performing integrated anti-tumor therapy such as TACE and physical therapy.
It is well known that medical imaging and visualization play important parts in traumatological orthopaedic surgery. Conventional radiological techniques including digital X-rays, computerized tomography (CT) and magnetic resonance imaging (MRI) have been widely used in clinic, but they have limitations. In order to achieve much deeper understandings and even better orthopaedic surgical interventions for complex fracture cases, eligible three-dimensional (3D) bone and joint simulations are desired. In this study, a CAD based 3D digital reconstruction system and a rapid prototyping (RP) technique were used to form 3D visualization and physical models of complex extremity fractures (CEF). Applications of the innovative biomedical simulation techniques and benefits of the 3D visualization and biomodeling in the highly difficult extremity fractures were elucidated.
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