To search for novel tumor associated antigens (TAA) in esophageal squamous cell carcinoma (ESCC).
The proteins extracted from tissues of ESCC were separated by two dimensional polyacrylamide gel ...electrophoresis and transferred to PVDF membrane. Sera from ESCC patients and healthy individuals were used for primary antibodies for Western blot analysis. The differential spots were excised for trypsin hydrolysis and the tryptic peptides were analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The identified TAA of ESCC was validated by immunohistochemical staining (IHC).
Sera from ESCC patients yielded multiple positive spots, and one 28 800 Da protein that exhibited positive reactivity with 60% (12/20) sera of ESCC patients and only 5% (1/20) sera of healthy controls (P<0.01). The 28 800 Da protein was identified as phosphoglycerate mutase 1 (PGAM1) by MALDI-TOF-MS. Immunohistochemical analysis showed that PGAM1 was located in both cytoplasm and nucleus, and had a higher expression in cancer tissues.
PGAM1 maybe a candidate of ESCC.
Purpose Gastric cancer is the most common malignancy worldwide and is the third leading cause of cancer-related deaths, urgently requiring an early and non-invasive diagnosis. Circulating ...extracellular vesicles may emerge as promising biomarkers for the rapid diagnosis in a non-invasive manner. Methods Using high-throughput small RNA sequencing, we profiled the small RNA population of serum-derived extracellular vesicles from healthy controls and gastric cancer patients. Differentially expressed microRNAs (miRNAs) were randomly selected and validated by reverse transcription-quantitative real-time polymerase chain reaction. Receiver operating characteristic curves were employed to assess the predictive value of miRNAs for gastric cancer. Results In this study, 193 differentially expressed miRNAs were identified, of which 152 were upregulated and 41 were significantly downregulated. Among the differently expressed miRNA, the expression levels of miR-21-5p, miR-26a-5p, and miR-27a-3p were significantly elevated in serum-derived extracellular vesicles of gastric cancer patients. The miR-21-5p and miR-27a-3p were closely correlated with the tumor size. Moreover, the expression levels of serum miR-21-5p and miR-26a-5p were significantly decreased in gastric cancer patients after surgery. Conclusions The present study discovered the potential of serum miR-21-5p and miR-26a-5p as promising candidates for the diagnostic and prognostic markers of gastric cancer.
Cardiac local renin-angiotensin system plays an important role in the development of heart failure and left ventricular (LV) remodeling. We previously reported that hydrogen sulfide (H2S), an ...endogenous gaseous mediator, regulates renin synthesis and release in juxtaglomerular cells. The present study was designed to investigate whether H2S can protect against isoproterenol (ISO)-induced heart failure via inhibition of local renin activity in rat hearts.
In the present study, we found that an injection of ISO (150 mg/kg) significantly increased plasma lactate dehydrogenase level and hypertrophy index and impaired LV end diastolic pressure. Treatment with NaHS (an H2S donor, 0.056 mg/kg, daily) 3 days before and 2 weeks after the ISO injection attenuated the development of heart failure. Histological staining showed that NaHS decreased ISO-induced collagen deposition. Moreover, NaHS treatment reversed ISO-induced renin elevation in both plasma and LVs. Immunostaining analysis indicated that renin expression co-localized with mast cells in the ventricular tissues. Mast cell counts showed that NaHS treatment decreased the number of degranulated mast cells in cardiac tissue due to down-regulation of leukotriene A4 hydrolase protein expression and leukotriene B4 level. In addition, NaHS treatment also inhibited forskolin-induced renin degranulation from HMC-1.1 mast cells by lowering intracellular cAMP level.
This study provides evidence for a new pathway in H2S-induced cardioprotection against heart failure development.
For the first time, we demonstrated that H2S might protect heart during heart failure by suppression of local renin level through inhibition of both mast cell infiltration and renin degranulation.
To identify spatial distribution and risk factors among tuberculosis (TB) cases in Songjiang district, Shanghai, 2006 - 2009.
All active TB cases and all bacteriologically confirmed TB cases ...diagnosed during the period from 2006 to 2009 were recruited into the study. Spatial scan statistics were used to identify spatial clusters. Using logistic regression, we compared the demographic and clinical characteristics of TB cases in spatial clusters versus TB cases not in spatial clusters.
A total of 1815 active TB cases and 730 bacteriologically confirmed TB cases were recruited during 2006 - 2009. Chedun township and Xinqiao township was detected to be a spatial cluste (RR = 1.38, LLR = 16.78, P < 0.01), which was the location of the municipal industrial zone. No spatial cluster was found during 2006 - 2007, while during 2008 - 2009 Chedun township was detected to be a spatial cluster (RR = 1.70, LLR = 15.06, P < 0.01). Among resident population, the spatial cluster of TB cases was located in the southwestern par
Time series analysis is a valuable tool in epidemiology that complements the classical epidemiological models in two different ways: Prediction and forecast. Prediction is related to explaining past ...and current data based on various internal and external influences that may or may not have a causative role. Forecasting is an exploration of the possible future values based on the predictive ability of the model and hypothesized future values of the external and/or internal influences. The time series analysis approach has the advantage of being easier to use (in the cases of more straightforward and linear models such as Auto-Regressive Integrated Moving Average). Still, it is limited in forecasting time, unlike the classical models such as Susceptible-Exposed-Infectious-Removed. Its applicability in forecasting comes from its better accuracy for short-term prediction. In its basic form, it does not assume much theoretical knowledge of the mechanisms of spreading and mutating pathogens or the reaction of people and regulatory structures (governments, companies, etc. ). Instead, it estimates from the data directly. Its predictive ability allows testing hypotheses for different factors that positively or negatively contribute to the pandemic spread; be it school closures, emerging variants, etc. It can be used in mortality or hospital risk estimation from new cases, seroprevalence studies, assessing properties of emerging variants, and estimating excess mortality and its relationship with a pandemic.
To perform this meta-analysis, we investigated the risk of the most clinically relevant adverse events related to antivascular endothelial growth factor receptor (VEGFR) agents in advanced ...nonsmall-cell lung cancer (NSCLC).A comprehensive literature search for studies published up to October 2015 was performed. Prospective randomized controlled phase II/III clinical trials that comparing therapy with or without anti-VEGFR agents for advanced NSCLC were included for analysis. Summary relative risk (RR) and 95% confidence intervals (CIs) were calculated using random effects or fixed effects according to the heterogeneity among included trials.A total of 11,701 patients from 18 clinical trials were included for analysis. Pooled RR showed that the use of anti-VEGFR agents significantly increased the risk of developing hypertension (RR 4.71, 95% CI 3.29-6.73, P < 0.001) and fatal adverse events (RR 1.33, 95% CI 1.12-1.58, P = 0.001). No statistically significant differences were found for gastrointestinal (GI) perforation (P = 0.41), arterial or venous thromboembolic events (P = 0.49 and P = 0.16, respectively), or hemorrhagic events (P = 0.81). Sensitive analysis indicated that the significance estimate of pooled RR of fatal adverse event (FAEs) was not significantly influenced by omitting any single study.The use of anti-VEGFR agents in advanced NSCLC does significantly increase the risk of hypertension and fatal adverse events, but not for arterial or venous thromboembolic events, GI perforation, or hemorrhagic events.
Machine learning algorithms are expected to work side-by-side with humans in decision-making pipelines. Thus, the ability of classifiers to make reliable decisions is of paramount importance. Deep ...neural networks (DNNs) represent the state-of-the-art models to address real-world classification. Although the strength of activation in DNNs is often correlated with the network’s confidence, in-depth analyses are needed to establish whether they are well calibrated. In this paper, we demonstrate the use of DNN-based classification tools to benefit cancer registries by automating information extraction of disease at diagnosis and at surgery from electronic text pathology reports from the US National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) population-based cancer registries. In particular, we introduce multiple methods for selective classification to achieve a target level of accuracy on multiple classification tasks while minimizing the rejection amount—that is, the number of electronic pathology reports for which the model’s predictions are unreliable. We evaluate the proposed methods by comparing our approach with the current in-house deep learning-based abstaining classifier. Overall, all the proposed selective classification methods effectively allow for achieving the targeted level of accuracy or higher in a trade-off analysis aimed to minimize the rejection rate. On in-distribution validation and holdout test data, with all the proposed methods, we achieve on all tasks the required target level of accuracy with a lower rejection rate than the deep abstaining classifier (DAC). Interpreting the results for the out-of-distribution test data is more complex; nevertheless, in this case as well, the rejection rate from the best among the proposed methods achieving 97% accuracy or higher is lower than the rejection rate based on the DAC. We show that although both approaches can flag those samples that should be manually reviewed and labeled by human annotators, the newly proposed methods retain a larger fraction and do so without retraining—thus offering a reduced computational cost compared with the in-house deep learning-based abstaining classifier.
Reduced graphene oxide (rGO)-encapsulated amine functionalized Fe3O4 magnetic nanospheres (AMs), were used to support Pt catalysts (Pt-rGO-AMs). The Pt-rGO-AMs were fabricated by modifying ...positively-charged aminopropyltrimethoxysilane on the surface of Fe3O4 nanoparticles (NPs) to form functionalized Fe3O4 NPs. Then negatively-charged graphene oxide (GO) was coated on the surface of the functionalized Fe3O4 nanospheres by electrostatic layer-by-layer self-assembly. Finally, Pt NPs were uniformly anchored on the surface of GO by a polyol reduction reaction and the GO was simultaneously reduced to rGO. The Pt-rGO-AMs exhibit excellent ferromagnetic property, which makes it possible to realize controllable on–off reactions and convenient recycling of catalyst materials. The electrochemical activity of the catalyst for methanol oxidation is significantly improved compared to Pt NPs absorbed on a rGO sheet and has better stability. The superior performance of this Pt-rGO-AMs catalyst is attributed both to the structure, which improve the accessibility of the Pt NPs by exposing them on the surface of the support, and to the greatly improved electronic conductivity of the support.
The hybridization of magnetism and superconductivity has been an intriguing playground for correlated electron systems, hosting various novel physical phenomena. Usually, localized d or f electrons ...are central to magnetism. In this study, by placing a PTCDA (3,4,9,10-perylene tetracarboxylic dianhydride) molecular monolayer on ultrathin Pb films, we built a hybrid magnetism/superconductivity ( M / SC ) system consisting of only s p electronic levels. The magnetic moments reside in the unpaired molecular orbital originating from interfacial charge transfers. We reported distinctive tunneling spectroscopic features of such a Kondo screened π electron impurity lattice on a superconductor in the regime of TK ≫ Δ, suggesting the formation of a two-dimensional bound states band. Moreover, moiré superlattices with tunable twist angle and the quantum confinement in the ultrathin Pb films provide easy and flexible implementations to tune the interplay between the Kondo physics and the superconductivity, which are rarely present in M / SC hybrid systems.
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