The role of lncRNA MSC-AS1/miR-29b-3p axis-mediated CDK14 modulation in pancreatic cancer proliferation and Gemcitabine-induced apoptosis

Pancreatic ductal adenocarcinoma (PDAC) remains a leading cause of cancer-related death due to the failure of traditional therapies. In the present study, we attempted to construct a lncRNA-miRNA-mRNA network which may modulate PDAC cell proliferation and Gemcitabine-induced cell apoptosis starting from CDK14, a new member of the CDK family and an oncogene in many cancers. Based on TCGA data, a significant positive correlation was observed between lncRNA MSC-AS1 and CDK14. Moreover, MSC-AS1 expression was upregulated in PDAC tissues. Higher MSC-AS1 expression was correlated with poorer prognosis in patients with PDAC. MSC-AS1 knockdown in Panc-1 and BxPC-3 cells significantly inhibited the cell proliferation. Moreover, miR-29b-3p, which has been reported to act as a tumor suppressor, was predicted to bind to both MSC-AS1 and CDK14. Contrary to MSC-AS1, higher miR-29b-3p expression was correlated to better prognosis in patients with PDAC. In both PDAC cell lines, miR-29b-3p negatively regulated MSC-AS1 and CDK14. As confirmed using luciferase reporter gene and RIP assays, MSC-AS1 served as a ceRNA for miR-29b-3p to counteract miR-29b-mediated CDK14 repression. MSC-AS1 knockdown inhibited CDK14 protein levels and PDAC proliferation and enhanced gemcitabine-induced cell death and apoptosis while miR-29b-3p inhibition exerted an opposing effect; the effect of MSC-AS1 knockdown was partially attenuated by miR-29b-3p inhibition. Taken together, we demonstrated that MSC-AS1/miR-29b-3p axis modulates the cell proliferation and GEM-induced cell apoptosis in PDAC cell lines through CDK14. We provided a novel experimental basis for PDAC treatment from the perspective of lncRNA-miRNA-mRNA network.     

Optimal parameter selection problem with application to the synchronization of delivery cycles in a supply chain with Wiener process

In this paper, we use optimal parameter selection technique to develop two models involving single‐vendor–multiple‐buyer supply chain, which are called the dynamic independent optimization (DIO) model and the dynamic synchronized cycles (DSC) model, respectively. These models are, respectively, similar to the traditional static independent policy model and the traditional static synchronized cycle model, except that the deterministic demands of the buyers in the above two static models are now being replaced by the stochastic demands satisfying a Wiener process, which have more real‐life applications. Similar to the above static synchronized cycles model, the synchronization of the supply chain in our DSC model is also achieved by scheduling the delivery days of the buyers and coordinating them with the vendor's production cycle. Finding the optimal expected system costs of the DIO model and the DSC model involves solving optimal parameter selection problems governed by ordinary differential equations, whose final times are continuous decision variables and discrete decision variables, respectively. Computational methods have been developed for solving these problems. Numerical results show that the coordinated policy is better than the independent optimization policy, in terms of minimizing the expected system cost of the entire supply chain. Sensitivity analysis is performed to test the effect of changing the cost coefficients and the value on the performances of these models, where is the ratio of the total mean demand rate of all the buyers over the vendor's production rate.     

The Effect of Residential Aged Care Size,Ownership Model,and Multichain Affiliation on Resident Comfort and Symptom Management at the End of Life

Context

In most resource-rich countries, a large and growing proportion of older adults with complex needs will die while in a residential aged care (RAC) facility.

Nationwide outcomes of newborns with rectosigmoid versus long-segment Hirschsprung disease

PurposeHirschsprung Disease (HD) is a common congenital intestinal disorder. While aganglionosis most commonly affects the rectosigmoid colon (rectosigmoid HD), outcomes for patients in which aganglionosis extends to more proximal segments (long-segment HD) remain understudied. This study sought to compare postoperative outcomes among newborns with rectosigmoid and long-segment HD.MethodsThe Nationwide Readmission Database was queried from 2016 to 2018 for newborns with HD. Newborns were stratified into those with rectosigmoid or long-segment HD. Those who received no rectal biopsy or pull-through procedure during their newborn hospitalization were excluded. A propensity score-matched analysis (PSMA) of newborns with either type of HD was constructed utilizing 17 covariates including demographics, comorbidities, and congenital-perinatal conditions.ResultsThere were 1280 newborns identified with HD (82% rectosigmoid HD, 18% long-segment HD). Patients with rectosigmoid HD had higher rates of laparoscopic resections (35% vs. 12%) and less frequently received a concomitant ostomy (14% vs. 84%), both p < 0.001. Patients with long-segment HD were more likely to have a delayed diagnosis (12% vs. 5%) and require multiple bowel operations (19% vs. 4%), both p < 0.001. They experienced higher rates of complications, including small bowel obstructions (10% vs. 1%), infections (45% vs. 20%), and Hirschsprung-associated enterocolitis (11% vs. 5%), all p < 0.001. After PSMA, newborns with long-segment HD were found to have a longer length of stay and higher hospitalization costs.ConclusionNewborns with long-segment HD experience significant delays in diagnosis, surgery, and complications compared to those with rectosigmoid HD. This information should be utilized to improve healthcare delivery for this patient population.Type of StudyRetrospective comparative study.Level of EvidenceIII.     

Changes and significance of plasma fibrinogen gamma‐chain concentration in preeclampsia patients

ObjectiveTo investigate the plasma fibrinogen gamma‐chain concentration in preeclampsia patients and explore its value in preeclampsia prediction and auxiliary diagnosis.MethodsFollow‐up of pregnant women who regularly attended perinatal care at two hospitals in China was performed, and clinical data and plasma samples were collected at each examination until delivery. The gamma‐chain concentration was detected by Western blotting, and Quantity One Software was used for gamma‐chain grayscale value measurements.ResultsForty‐two patients with preeclampsia and 42 control patients completed the follow‐up. In the control group, the gamma‐chain concentration at 32 weeks of gestation was higher than that at 20 weeks of gestation, but the difference was not statistically significant (p > 0.05). In the experimental group, the gamma‐chain concentration at preeclampsia diagnosis was significantly higher than that at 20 weeks of gestation (p < 0.05). Compared with the control group, the gamma‐chain concentration was higher at 20 weeks of gestation in the experimental group, but the difference was not statistically significant. However, at 32 weeks of gestation and at the time of diagnosis, the gamma‐chain concentration in the experimental group was significantly higher than that in the control group (p < 0.05). At 32 weeks of gestation and at the time of diagnosis, the AUCs from ROC curve analysis of plasma fibrinogen gamma‐chain concentrations were 0.64 and 0.71, respectively.ConclusionPlasma fibrinogen synthesis and degradation were disrupted in preeclampsia patients before and after diagnosis, and gamma‐chain concentration was significantly increased. Plasma fibrinogen gamma chain may be of some value in preeclampsia prediction and auxiliary diagnosis.