Prediction model of no-response before the first transarterial chemoembolization for hepatocellular carcinoma: TACF score.

Previous clinic models for patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE) mainly focused on the overall survival, whereas a simple-to-use tool for predicting the response to the first TACE and the management of risk classification before TACE are lacking. Our aim was to develop a scoring system calculated manually for these patients. A total of 437 patients with hepatocellular carcinoma (HCC) who underwent TACE treatment were carefully selected for analysis. They were then randomly divided into two groups: a training group comprising 350 patients and a validation group comprising 77 patients. Furthermore, 45 HCC patients who had recently undergone TACE treatment been included in the study to validate the model's efficacy and applicability. The factors selected for the predictive model were comprehensively based on the results of the LASSO, univariate and multivariate logistic regression analyses. The discrimination, calibration ability and clinic utility of models were evaluated in both the training and validation groups. A prediction model incorporated 3 objective imaging characteristics and 2 indicators of liver function. The model showed good discrimination, with AUROCs of 0.735, 0.706 and 0.884 and in the training group and validation groups, and good calibration. The model classified the patients into three groups based on the calculated score, including low risk, median risk and high-risk groups, with rates of no response to TACE of 26.3%, 40.2% and 76.8%, respectively. We derived and validated a model for predicting the response of patients with HCC before receiving the first TACE that had adequate performance and utility. This model may be a useful and layered management tool for patients with HCC undergoing TACE.

Conflict detection and base-rate extremity.

People tend to ignore the probabilistic rules cued by the base-rate information and rely on the heuristic intuition cued by the descriptive information to make "stereotypical" responses in base-rate problems. Conflict detection studies have shown that reasoners can detect conflicts between heuristic intuition and probabilistic considerations despite ultimately stereotypical responses. However, these studies primarily used extreme base-rate tasks. A critical open question is the extent to which successful conflict detection relies on an extreme base rate. The present study explores this issue by manipulating the base-rate extremity of problems in which the descriptive information and the base-rate information conflict or not. As a result, when reasoners made stereotypical responses in the conflict version of the moderate base-rate task, they took longer to respond, had lower confidence in their responses, and were slower to evaluate their confidence than in the no-conflict version of the task. All three measures indicate that stereotypical reasoners can stably detect conflict in moderate base-rate tasks, which expands the scope of successful conflict detection. Moreover, our response confidence data found a larger detection effect size in the extreme base-rate condition than in the moderate base-rate condition. This suggests that conflict detection is more efficient as the base-rate extremity increases. Implications for the boundary conditions of conflict detection are discussed.

Conflict Detection in Moderate Base-Rate Tasks: A Multi-Measure Study.

Empirical studies have found that although humans often rely on heuristic intuition to make stereotypical judgments during extreme base-rate tasks, they can at least detect conflicts between stereotypical and base-rate responses, which supports the dual-processing view of flawless conflict detection. The current study combines the conflict detection paradigm with moderate base-rate tasks of different scales to test the generalization and boundaries of flawless conflict detection. After controlling for possible confounding by the "storage failure" factor, the conflict detection results indicated that reasoners providing stereotypical heuristic responses to conflict problems were slower to respond, less confident in their stereotypical responses, and slower to indicate their reduced confidence than reasoners who answered no-conflict problems. Moreover, none of these differences were affected by different scales. The results suggest that stereotypical reasoners are not blind heuristic performers and that they at least realize that their heuristic responses are not entirely warranted, which supports the argument for flawless conflict detection and extends the boundaries of flawless conflict detection. We discuss the implications of these findings for views of detection, human rationality, and the boundaries of conflict detection.

microRNA­577 inhibits cell proliferation and invasion in non­small cell lung cancer by directly targeting homeobox A1.

An increasing number of studies have indicated that the dysregulation of microRNAs (miRNAs/miR) is closely associated with non­small cell lung cancer (NSCLC) development and progression by acting as tumor suppressors or oncogenes. Therefore, an in­depth understanding of the biological roles of miRNAs in NSCLC may provide novel therapeutic methods for the treatment of patients with this disease. In the present study, reverse transcription­quantitative polymerase chain reaction was used to detect miR­577 expression in NSCLC tissues and cell lines. Cell Counting Kit­8 and Transwell invasion assays were performed to determine the effects of miR­577 on NSCLC cell proliferation and invasion. Luciferase reporter assays were used to demonstrate the relationship between miR­577 and homeobox A1 (HOXA1) in NSCLC cells. The results revealed that miR­577 was markedly downregulated in NSCLC tissues and cell lines. Additionally, restoration of miR­577 expression significantly decreased the proliferation and invasion of NSCLC cells. Furthermore, miR­577 negatively regulated HOXA1 expression in NSCLC cells by directly binding to its 3'­untranslated region. HOXA1 was significantly upregulated in NSCLC tissues, and its upregulation was inversely correlated with miR­577. Notably, restored HOXA1 expression abrogated the reduced proliferation and invasion of NSCLC cells caused by miR­577 overexpression. Taken together, these results indicated that miR­577 may have served tumor suppressive roles in NSCLC by directly targeting HOXA1. Therefore, this miRNA may be developed as a potential therapeutic target for the therapy of patients with NSCLC.

Role of miR-214 in modulating proliferation and invasion of human colon cancer SW620 cells.

This study investigated the role of miR-214 in modulating proliferation and invasion of human colon cancer SW620 cells. Fifty-five patients with colon cancer who were treated in China-Japan Union Hospital of Jilin University from March 2014 to March 2015 were enrolled into this study. Their cancer and corresponding paracancerous tissues were collected and the expression levels of miR-214 were determined by RT-qPCR. A miR-214 expression vector was constructed. SW620 cells were transfected with the miR-214 expression vector and a blank vector. Cells transfected with the miR-214 expression vector were assigned to the miR-214 positive group and cells transfected with the blank vector were assigned to the miR-214 negative group. Cell proliferation, invasion and apoptosis were assessed by MTT assay, Transwell migration assay and TUNEL apoptosis assay, respectively. The RT-qPCR results showed that the expression level of miR-214 in colon cancer tissue, as well as in miR-214 negative cells, was significantly lower than that in paracancerous tissue (P<0.05 for both). In cell comparison, the expression level of miR-214 in the miR-214 positive group was significantly higher than that in the miR-214 negative group (0.483±0.001 vs. 0.172±0.001; P<0.05). The proliferation level of SW620 cells in the miR-214 positive group was lower than that in the miR-214 negative group (P<0.05). The Transwell migration assay indicated that there were less cells penetrating the membrane in the miR-214 positive group than in the miR-214 negative group (P<0.05). In addition, The apoptosis rate of cells in the miR-214 negative group was significantly lower than that in the miR-214 positive group (P<0.05). Finally, the low expression of miR-214 was found in colon cancer, indicating that miR-214 is a cancer suppressor playing an opposing role in colon cancer onset and progression. Therefore, miR-214 can promote apoptosis of colon cancer cells SW620 by inhibiting their proliferation and invasion.

[Determination of 53 pesticide residues in tea by gas chromatography-tandem mass spectrometry and double internal standard method].

A gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) method with tandem double columns was established for the determination of 53 pesticide residues in tea. The sample was extracted by acetonitrile with buffering salts of QuEChERS method, cleaned up with an ENVI-Carb/NH2 solid-phase extractant, and determined by GC-MS/MS. To reduce the matrix effect in GC-MS/MS, gulonic acid lactone and sorbitol were added to the standard solutions as protectants; additionally, anthraquione-D8 and triphenyl phosphate were used as double internal standards. The linear ranges were from 20 to 500 µg/L for 52 pesticides, and from 40 to 1000 µg/L for cypermethrin, with correlation coefficients higher than 0.99. The limits of quantification (LOQs) of 28 pesticides were less than 10 µg/kg, and the LOQs of the other 25 pesticides ranged from 10 to 20 µg/kg. The recoveries were in the range 72.5%-130.9%, and the relative standard deviations (RSDs) were in the range 0.4%-19.4%. This method is simple, rapid, sensitive, and reliable for the simultaneous identification and quantification of multiple residues in tea.

Effect of honokiol on exotoxin proteins listeriolysin O and p60 secreted by Listeria monocytogenes.

Listeria monocytogenes is considered one of the most important foodborne pathogens. The virulence-related proteins listeriolysin O (LLO) and p60 are critical factors involved in Listeria pathogenesis. In the present study, we investigated the effect of honokiol on LLO and p60 secreted from L. monocytogenes. A listeriolysin assay was used to investigate the haemolytic activities of L. monocytogenes exposed to honokiol, and the secretion of LLO and p60 was detected by immunoblot analysis. Additionally, the influence of honokiol on the transcription of LLO and p60 genes (hly and iap, respectively) was analysed by real-time reverse transcription PCR. TNF-α release assays were performed to elucidate the biological relevance of changes in LLO and p60 secretion induced by honokiol. According to the data, honokiol showed good anti-L. monocytogenes activity, with MICs of 8-16 µg ml(-1), and the secretion of LLO and p60 was decreased by honokiol. In addition, the transcription of hly and iap was inhibited by honokiol. Our results indicate that TNF-α production by RAW264.7 cells stimulated with L. monocytogenes supernatants was inhibited by honokiol. Based on these data, we propose that honokiol could be used as a promising natural compound against L. monocytogenes and its virulence factors.

A G-quadruplex based label-free fluorescent biosensor for lead ion.

Many Pb(2+) biosensors based on Pb(2+)-specific RNA-cleaving DNAzyme have been developed in the past years. However, many of them have limited practical use because of high cost (e.g., enzymes), complicated processing and the use of unstable molecules (e.g., RNA). In this study, a novel label-free fluorescent biosensor for Pb(2+) was proposed based on Pb(2+)-induced allosteric G-quadruplex (PS2.M). In the presence of K(+), N-methyl mesoporphyrin IX (NMM) could bind to K(+)-stabilized G-quadruplexes, giving rise to high fluorescence. On addition of Pb(2+), Pb(2+) competitively binded to K(+)-stabilized G-quadruplexes to form more compact DNA folds. The Pb(2+)-stabilized G-quadruplexes did not bind to NMM, which resulted in fluorescence decrease. This allowed us to utilize PS2.M for quantitative analysis of Pb(2+) using the NMM-G-quadruplex system by convenient "mix-and-detect" protocol. The fluorescence emission ratio (F(0)/F) showed a good linear response toward Pb(2+) over the range from 5.0 nM to 1.0 µM with a limit of detection of 1.0 nM. This proposed biosensor was simple and cost efficiency in design and in operation with high sensitivity and selectivity. We validated the practicality of this biosensor for the determination of Pb(2+) in lake water samples.

A sensitive and selective DNAzyme-based flow cytometric method for detecting Pb2+ ions.

A sensitive and selective Pb(2+) sensor based on GR-5 DNAzyme has been developed by a flow cytometric method.

An ultrasensitive electrochemical sensor for the mercuric ion via controlled assembly of SWCNTs.

An ultrasensitive "turn-on" electrochemical sensor for the Hg(2+) ion was proposed based on the T-Hg(2+)-T coordination chemistry and the controlled assembly of SWCNTs on the MHA/SAM-modified gold electrode.

Label-free fluorescent sensor for mercury(II) ion by using carbon nanotubes to reduce background signal.

A simple, selective and sensitive turn-on fluorescent sensor for the detection of mercury(II) ion was developed using Sybr Green I as the signal reporter and SWCNTs as the quencher. Due to the affinity of SWCNTs towards ssDNA and organic dye, Sybr Green I, thymine-rich ssDNA and SWCNTs could form a self-assembly of three components, resulting in fluorescence quenching. Upon addition of another thymine-rich ssDNA and mercury(II) ion, formation of dsDNA via T-Hg(2+)-T base pairs enabled Sybr Green I to intercalate into the dsDNA, resulting in the restoration of fluorescence. SWCNTs were found to reduce the background signal and improve the analytical sensitivity. A linear relationship between the fluorescence intensity and the concentration of mercury(II) ion was observed in the range of 20-1250 nM (R = 0.9985) with a detection limit of 7.9 nM. The proposed method was applied to detect mercury(II) ion in tap water samples with good results.