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MicroRNA (miRNA/miR)-633 is dysregulated in several types of cancers and is involved in tumorigenesis. However, the function and role of this miRNA in gastric cancer (GC) are not fully understood. The aim of the present study was to evaluate miR-633 expression in GC cell lines and in GC tissue vs. adjacent normal tissue, and to determine its association with clinicopathological data. This work was extended to investigate the effects of miR-633 overexpression on tumor cells in vitro.Reverse transcription-quantitative PCR (RT-qPCR) was used to detect and compare the expression level of miR-633 in GC cells, as well as in GC and normal adjacent tissue samples. The clinical significance of miR-633 was also analyzed. MiR-633 lentivirus (LV-miR-633) and negative control lentivirus (LV-NC) were generated and used to transduce SGC-7901 and HGC-27 GC cells in order to analyze the effect of miR-633 on their phenotype. The effects of miR-633 overexpression on GC cell proliferation, apoptosis, migration and invasion were investigated. The target gene of miR-633 was predicted, then confirmed using a dual luciferase reporter gene assay, RT-qPCR and Western blotting.MiR-633 was significantly downregulated in GC cell lines, as well as in GC tissue compared with adjacent normal tissue. Moreover, miR-633 expression was associated with the tumor/node/metastasis (TNM) stage, invasion depth, Borrmann classification and lymph node metastasis (P0.05). Compared with the LV-NC group, transduction with LV-miR-633 reduced the proliferation, the number of clones, the wound healing rate, the number of invading cells and the number of cells in the GMiR-633 acts as a tumor suppressor in GC, and its expression level is associated with TNM stage, invasion depth, Borrmann type and lymph node metastasis. Overexpression of miR-633 inhibits the proliferation and migration of GC cells and induces apoptosis and cell cycle arrest at the in G

In this paper, we establish several generalized results on complete convergence for martingale difference sequence, which include some well-known results.

We analyze the moderate deviations of the maximum likelihood estimator (MLE) derived under the assumption of independent identically distribution (i.i.d.) samples, where in the actual model the samples are m-dependent. The MLE under such a modeling mismatch are based on the marginal likelihood function, and it is referred to as marginal maximum likelihood estimator (MMLE). Under some regularity conditions, the moderate deviations of MMLE are obtained. Two common examples are studied.

Endostar, a modified recombinant human endostatin, inhibits the growth of a variety of tumors by suppressing neovascularization. Vascular endothelial growth factor (VEGF) has an important role in malignant ascites formation. In order to determine whether Endostar can suppress the formation of ascites and prolong survival times, mouse models of malignant ascites were established using S180 and H22 tumor cells. The experimental mice were randomly divided into four groups: The three treatment groups received different doses of Endostar (4, 8 and 16 mg/kg), and the control group received 0.9% w/v NaCl. The volume of ascites, and the tumor cell, red blood cell (RBC), VEGF protein and mRNA content of the ascites was measured alongside the peritoneal permeability and the mouse survival time. In vitro analysis of cultured Endostar-treated S180 and H22 cells was also performed in order to examine cellular proliferation and the level of VEGF secreted protein and mRNA. The results revealed that Endostar suppressed the ascites volume, decreased the level of tumor cells, RBCs and VEGF in the ascites fluid, and lowered the permeability of the peritoneum. The tumor cells collected from the ascites in the Endostar-treated mice demonstrated a decrease in the expression of VEGF mRNA. The survival rates of the 8 and 16 mg/kg Endostar-treated mice were longer than those of the controls. The in vitro experiments revealed a significant inhibition of VEGF protein secretion and VEGF mRNA by Endostar, but no effect on cellular proliferation. In conclusion, Endostar lowers ascites production by downregulating VEGF expression, and may therefore be effective for the treatment of malignant ascites.

Raltitrexed is a specific inhibitor of thymidylate synthase (TS), which has been considered as a potential chemotherapeutic agent for the treatment of advanced gastric cancer. In the present study, the apoptosis mechanisms of raltitrexed in SGC7901 human gastric cancer cells were investigated. The cytotoxic activity of raltitrexed on SGC7901 cells was determined by cell counting kit-8 (CCK-8) assay. The CCK‑8 assay indicated that raltitrexed inhibits SGC7901 cell growth in a dose- and time-dependent manner. The morphological changes were observed by fluorescent microscopy, and characteristic morphological changes, including nuclear shrinkage and apoptotic bodies, were observed following Hoechst 33258 staining. The effects on apoptosis, cell cycle, mitochondrial transmembrane potential and reactive oxygen species (ROS) were measured by flow cytometry. The analysis revealed that raltitrexed exerted a growth inhibitory effect by inducing time-dependent apoptosis and cell-cycle arrest at the G0/G1 phase. In addition, a compromised mitochondrial membrane potential and overproduction of ROS demonstrated the involvement of the mitochondrial signaling pathway. Raltitrexed‑induced caspase‑3‑dependent apoptosis was identified using a caspase-3 activity assay and pretreatment with the caspase-3 inhibitor, Ac‑DEVD‑CHO (sequence, Ac-Asp-Glu-Val-Asp-CHO). The activity of caspase-3 was analyzed with a spectrometer. The protein expression levels of Bax, Bcl-2, cytochrome c, cleaved caspase-3 and TS were examined by western blot and the mRNA expression level of TS was detected by quantitative polymerase chain reaction. The analysis revealed that the protein levels of Bax, cytochrome c and cleaved caspase‑3 were significantly increased by raltitrexed, while Bcl-2 expression levels were reduced. Furthermore, raltitrexed increased the expression of the TS protein and mRNA in a time‑dependent manner. These results indicate that raltitrexed induces the apoptosis of SGC7901 cells through the caspase‑3‑dependent mitochondrial signaling pathway and upregulates the expression of the TS protein and mRNA.

National guidelines recommend screening all persons with depression for bipolar disorder (BPD); one way to facilitate screening is through the use of electronic health records (EHRs). This study examined the impact of an EHR-based screening and decision support tool on diagnosis and treatment of BPD among patients diagnosed with depression in primary care offices.This nonrandomized, controlled trial was conducted in a national network of offices using EHRs. The intervention included a screening instrument and other tools for diagnosis and management of BPD, which were embedded into the EHR. This instrument automatically activated when a patient with a diagnosis of depression but no diagnosis of BPD was seen in the office. The primary outcomes were the rates of new diagnoses of BPD and prescription of new BPD medications during the 6-month study period (April to October 2009).Twenty-one offices with 75 clinicians and 8355 adult patients with depression composed the intervention group, whereas 17 offices with 81 clinicians and 8799 adult patients with depression served as the comparison group. The screening tool was used with 47.5% of intervention patients, of whom 2.5% scored at high or very high risk for BPD. Intervention patients were more likely than comparison patients to be newly diagnosed with BPD (1.11% vs. 0.36%; P.01) and be prescribed new BPD medications (1.85% vs. 1.19%; P.01).The study suggests that EHR-based tools can be useful for screening and management of BPD for patients with depression in primary care offices.

Let {X n , n ≥ 1} be a stationary sequence of m-dependent random variables with survival function . The empirical survival function based on X 1,…, X n is proposed as an estimator for . In this article, we obtain some asymptotic results of the survival function estimator, which include uniform moderate deviations, Berry-Esseen bound, Cramer type large deviation, and so on.

We discuss the asymptotic properties of the deviation between order statistics and p-quantile of an independently and identically distributed sample of size n. The large and moderate deviation principle and Bahadur's asymptotic efficiency of the deviation X (k) − ξ p are obtained under some weak conditions.

Background: Because comorbid depression can complicate medical conditions (eg, diabetes), physicians may treat depression more aggressively in patients who have these conditions. This study examined whether primary care physicians prescribe antidepressant medications more often and in higher doses for persons with medical comorbidities. Methods: This secondary data analysis of electronic health record data was conducted in the Centricity Health Care User Research Network (CHURN), a national network of ambulatory practices that use a common outpatient electronic health record. Participants included 209 family medicine and general internal medicine providers in 40 primary care CHURN offices in 17 US states. Patients included adults with a new episode of depression that had been diagnosed during the period October 2006 through July 2007 (n 1513). Prescription of antidepressant medication and doses of antidepressant medication were compared for patients with and without 6 comorbid conditions: diabetes, coronary heart disease, congestive heart failure, cerebrovascular disease, chronic obstructive pulmonary disease, and cancer. Results: 20.7% of patients had at least one medical comorbidity whereas 5.8% had multiple comorbidities. Overall, 77% of depressed patients were prescribed antidepressant medication. After controlling for age and sex, patients with multiple comorbidities were less likely to be prescribed medication (adjusted odds ratio, 0.58; 95% CI, 0.35‐0.96), but there was no significant difference by individual comorbidities. Patients with cerebrovascular disease were less likely to be prescribed a full dose of medication (adjusted odds ratio, 0.26; 95% CI, 0.08‐0.88), but there were no differences for other comorbidities or for multiple comorbidities, and there was no difference for any comorbidities in the prescription of minimally effective doses. Conclusions: Patients with new episodes of depression who present to a primary care practice are not treated more aggressively if they have medical comorbidities. In fact, patients with multiple comorbidities are treated somewhat less aggressively. (J Am Board Fam Med 2010;23:499‐508.)

In this short note, we show a simpler proof to obtain the moderate deviation principle of the maximum likelihood estimator (MLE) for the independent case.

Depression is a common medical condition, with a 20% prevalence of significant depressive symptoms1 and a 6.6% annual prevalence of major depressive disorder (MDD)2 among adults in the United States. Most people seek care for depression from their primary care physician rather than from a mental health specialist.3–5 Treatment of depression is particularly important in primary care, since many patients with depression have comorbid medical conditions,6 and depression can worsen medical conditions such as diabetes,7–9 cardiovascular disease,10–13 and cancer.14,15 However, treatment of depression in primary care is not always optimal.3,5,16 One reason for this nonoptimal care is that primary care is more complex, with patients often being treated for multiple problems during a single visit.16–18 The Institute of Medicine and other organizations have called for methods to improve depression management in the primary care setting.19 This management includes use of standardized depression symptom questionnaires. One way to facilitate the use of these tools is through electronic health records (EHRs). An EHR can make depression severity questionnaires easily available at the point of care. The EHR can track results over time so that providers can more easily determine improvement in depression symptoms and incorporate guidelines so that changes in depression scores can trigger recommendations for further treatment. Because of the advantages of EHR-based interventions, the Institute of Medicine and other experts recommend that clinical decision support (CDS) tools be incorporated into EHRs whenever possible.20,21 The purpose of this study was to incorporate a depression severity questionnaire and other CDS tools into the EHR for use at the point of care in primary care settings and to examine use of these tools as well as provider perceptions of how these tools improved quality of care.

Gastro-esophageal reflux disease (GERD) is common in primary care but is often underdiagnosed and untreated. GERD can also present with atypical symptoms like chronic cough and asthma, and physicians may be unaware of this presentation. We aimed to implement and evaluate an intervention to improve diagnosis and treatment for GERD and atypical GERD in primary care.This was a randomised controlled trial in primary care office practice using a national network of US practices (the Medical Quality Improvement Consortium - MQIC) that share the same electronic medical record (EMR). Thirteen offices with 53 providers were randomised to the intervention of EMR-based prompts and education, and 14 offices with 66 providers were randomised to the control group totalling over 67 000 patients and examining outcomes of GERD diagnosis and appropriate treatment.Among patients who did not have GERD at baseline, new diagnoses of GERD increased significantly in the intervention group (3.1%) versus the control group (2.3%) (P0.01). This remained significant after controlling for clustering with an odds of diagnosis of 1.33 (95% CI 1.13-1.56) for the intervention group. For patients with atypical symptoms, those in the intervention group had both higher odds of being diagnosed with GERD (OR 2.02, 95% CI 1.41-2.88) and of being treated for GERD (OR 1.40, 95% CI 1.08-1.83) than those in the control group.GERD diagnosis and treatment in primary care, particularly among patients with atypical symptoms, can be improved through the use of an EMR-based tool incorporating decision support and education. However, significant room for improvement exists in use of appropriate treatment.

Electronic decision-support tools may help to improve management of hyperlipidemia and other chronic diseases. This study examined the impact of lipid management tools integrated into an electronic medical record (EMR) in primary care practices. This randomized controlled trial was conducted in a national network of physicians who use an outpatient EMR. Adult primary care physicians were randomized by office to receive an electronic form that was embedded in the EMR. The form contained prompts regarding suboptimal care based on Adult Treatment Panel-III (ATP-III) guidelines, as well as reporting tools to identify patients outside of office visits whose lipid management was suboptimal. All active patients, ages 20-79 years, whose physicians participated in the study, were categorized as high, moderate, or low cardiovascular risk, and the proportion who were tested for hyperlipidemia, at lipid goal, and on lipid-lowering medications if not at goal were measured according to ATP-III guidelines. A total of 105 physicians from 25 offices and 64,150 patients were included in the study. Outcomes improved for most measures from before to 1 year after the intervention (November 1, 2005 to October 31, 2006). However, after controlling for confounding variables and for clustering in multilevel modeling, only up-to-date lipid testing for high-risk patients was statistically better in the intervention group as compared to the control group (adjusted odds ratio 15.0, P0.05). This study showed few differences in quality of lipid management after implementing an EMR-based disease management intervention in primary care settings. Future studies may need to examine more comprehensive interventions that include office staff in a team approach to care.

Objective: Since co-morbid depression can complicate medical conditions such as cardiovascular disease and cancer, physicians may treat depression more aggressively in patients with these conditions. This study compared antidepressant medication use in persons with and without medical co-morbidities. Methods: This cross-sectional study was conducted in a national network of outpatient electronic medical record users. Participants included active adult patients with an active diagnosis of depression as of 11/30/05 (the “prevalent” population, 185,029 patients) or a new episode of depression during the one-year period 12/1/03-11/30/04 (the “incident” population, 29,768 patients). For each population, four co-morbid conditions were defined—diabetes, coronary heart disease (CHD), stroke, and cancer. Prescription of antidepressant medication was compared for persons with and without each medical condition. Results: The most common medical condition was diabetes, with cancer being the least common (7.6% and 2.4% of the prevalent population). Overall, 69.6% of the prevalent population and 76.1% of the incident population were treated with antidepressant medications. For the prevalent population, treatment was significantly more likely for patients with diabetes (OR 1.07, 95% CI 1.03–1.11) but significantly less likely for patients with CHD (OR 0.94 95% CI 0.90–0.99), after controlling for differences in age and gender. For the incident population, treatment was significantly more likely for persons with diabetes (OR 1.14, 95% CI 1.04–1.26), CHD (OR 1.23 95% CI 1.08–1.39), and stroke (OR 1.21, 95% CI 1.04–1.42). Conclusions: Antidepressant medication use was somewhat higher in persons with medical co-morbidities, although these differences were small and inconsistent.

To evaluate the effect and toxicity of oxaliplatin combined with capecitabine (Xeloda) as a second-line chemotherapy regimen for patients with advanced gastric cancer.Twenty-four patients with advanced gastric cancer who had been treated by multiple chemotherapy regimens presenting poor responses were allotted. LX regimen (oxaliplatin 85 mg/m(2) in 2-hour infusion on D1 and D15, capecitabine 1250 mg/m(2)/d divided in two daily doses given from D1 to D14) was adopted. The cycles were repeated every 28 days. All patients received two or more cycles.All 24 patients were evaluated after having received 2 to 6 cycles of chemotherapy, totally 92 cycles. The overall response rate was 29.2% (including 2 CR, 5 PR, 10 NC and 7 PD). The time to tumor progression (TTP) was 2 to 18 months (median 5 months), and duration of remission was 4 to 14 months (median 8 months). The major toxicities were bone marrow suppression and nausea/vomiting.Oxaliplatin combined with capitabine is effective as a secondary line regimen for patients with advanced gastric cancer. This protocol is active and well tolerated. Further clinical studies are warranted.