1.Focus on medical emergency preparedness construction and design of "eye injury" network teaching courses
Jinhui WU ; Shihong ZHAO ; Ming ZHONG ; Yanzhi SANG ; Chunyan ZHAO ; Xin LIU
Chinese Journal of Medical Education Research 2006;0(10):-
Construction of the network course is one of the hot spots of teaching reform. With medical preparations for military struggle and the continuous improvement of dealing with unexpected natural disasters,the department of ophthalmology analyzed the characteristics,status and the advantages of network teaching of the"eye injury"carefully,to proceed with network cur-riculum reform. Teaching is designed through specific goals,processes,content,organization and development environment,and the other aspects.
2.Prognostic Factor Analysis of Overall Survival in Gastric Cancer from Two Phase III Studies of Second-line Ramucirumab (REGARD and RAINBOW) Using Pooled Patient Data.
Charles S FUCHS ; Kei MURO ; Jiri TOMASEK ; Eric VAN CUTSEM ; Jae Yong CHO ; Sang Cheul OH ; Howard SAFRAN ; György BODOKY ; Ian CHAU ; Yasuhiro SHIMADA ; Salah Eddin AL-BATRAN ; Rodolfo PASSALACQUA ; Atsushi OHTSU ; Michael EMIG ; David FERRY ; Kumari CHANDRAWANSA ; Yanzhi HSU ; Andreas SASHEGYI ; Astra M LIEPA ; Hansjochen WILKE
Journal of Gastric Cancer 2017;17(2):132-144
PURPOSE: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. MATERIALS AND METHODS: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. RESULTS: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64–0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. CONCLUSIONS: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.
Adenocarcinoma
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Alkaline Phosphatase
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Appetite
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Aspartate Aminotransferases
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Clinical Decision-Making
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Disease Progression
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Double-Blind Method
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Drug Therapy
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Esophagogastric Junction
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Factor Analysis, Statistical*
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Humans
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L-Lactate Dehydrogenase
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Lymphocytes
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Mass Screening
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Neoplasm Metastasis
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Neutrophils
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Prognosis
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Proportional Hazards Models
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Quality of Life
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Sodium
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Stomach Neoplasms*
3.Expression of miR-133a-3p in gastric cancer tissues and plasma and its effect on proliferation of gastric cancercells
ZHOU Xinliang ; WU Hao ; LI Dan ; WANG Feifei ; CUI Yanzhi ; ZHAO Lianmei ; SANG Meixiang ; SHAN Baoen
Chinese Journal of Cancer Biotherapy 2018;25(6):613-619
Objective: To detect the expression of miR-133a-3p in gastric cancer (GC) tissues and plasma of GC patients, and to investigate its effect on the proliferation of GC cells as well as its correlation toprognosis of GC patients. Methods: 52 cases of cancertissues (non-necrosis part) and corresponding adjacent tissues as well as the pre-operative peripheral blood samples from GC patients, who underwent surgery at Department of General Surgery, the Forth Hospital of Hebei Medical University(Shijiazhuang, China) between May 2012 and May 2013, were collected for this study. The plasma sample (n=35) from healthy donors were obtained during their physical examination. RT-qPCR was adopted to detect the expression of miR-133a-3p in gastric cancer tissues, adjacent tissuesand plasma samples of GC patients and healthy volunteers. The relationships between miR-133a-3p expression and the median DFS as well as clinicopathological parameters were also analyzed. CCK-8 assay was adopted to detect the effect of miR-133a-3p silence or over-expression on proliferation of gastric cancer SGC7901 cells. Results: miR-133a-3p was dramatically decreased in gastric cancer tissues (P<0.01), and its expression was associated with TNM stage, tumor infiltration (T), lynphonode metastasis (N), and vascular tumor thrombus (all P<0.01); miR-133a-3p was significantly increased in the plasma of GC patients (P<0.01), and its expression was associated with TNM stage, lynphonode metastasis (N), and vascular tumor thrombus (all P<0.05). miR-133a-3p expression was positively correlated with serum CA199 level of GC patients (P<0.01). The median DFS of patients with high miR-133a-3pexpression in cancer tissues was significantly longer than that of the patients with low expression(20.8 vs 14.8 months, P<0.05); The median DFS of patients with high plasma miR-133a-3p expression was significantly shorter than that of the patients with low expression (14.4 vs 20.3 months, P<0.05). Over-expression of miR-133a-3p could significantly inhibit the proliferation of gastric cancer SGC7901 cells, while miR-133a-3p silence could significantly promote the proliferation (all P<0.05). Conclusion: miR-133a-3p could significantlyinhibit the proliferation of SGC7901 cells; miR-133a-3p aberrantlyexpressed in gastric cancer tissues and plasma, and obviously correlated with prognosis of gastric cancer patients, which may be used as a potential clinical bio-maker for early diagnosis and treatment as well as the prognosis prediction of gastric cancer.