Objective
Colorectal neoplasia differentially expressed (CRNDE), a vital cancer‐related long non‐coding RNA (lncRNA), has been brought to reports for playing quintessential functions in the growth ...and progression of several human malignancies. Nevertheless, the expression as well as the functional mechanisms of CRNDE in pancreatic cancer is not known so for. This study aimed at investigating the biological and clinical importance of CRNDE in human pancreatic cancer.
Materials and methods
The expression levels of CRNDE in pancreatic cancer tissues as well as cell lines were identified with the help of quantitative real‐time PCR (qRT‐PCR). Furthermore, the analysis of the relationship between CRNDE expression and clinicopathologic characteristics of patients with pancreatic cancer was also performed. Novel target of CRNDE was identified with the use of bioinformatics analysis and confirmed by a dual‐luciferase reporter assay. Colorectal neoplasia differentially expressed was knocked down using siRNA in pancreatic cancer cells. Thereafter, cell proliferation, migration and invasion were examined. Tumour xenograft was created to explore the function of CRNDE in tumorigenesis in vivo.
Results
Upregulation of the expression of CRNDE was found in pancreatic cancer tissues as well as cell lines, in comparison with the adjacent non‐tumour tissues and human pancreatic duct epithelial cells. High expression of CRNDE was correlated with poor clinicpathological characteristics and shorter overall survival. We identified miR‐384 as a direct target for CRNDE. Moreover, the CRNDE knockdown considerably inhibited pancreatic cancer cell proliferation, migration and invasion not only in vitro but also in vivo. In addition, CRNDE positively regulated IRS1 expression through sponging miR‐384.
Conclusions
Colorectal neoplasia differentially expressed performed an oncogenic function in cell proliferation as well as metastasis of pancreatic cancer. Our results suggest that CRNDE is likely to serve as an efficient therapeutic approach in respect of pancreatic cancer treatment.
Despite advancements in face anti-spoofing technology, attackers continue to pose challenges with their evolving deceptive methods. This is primarily due to the increased complexity of their attacks, ...coupled with a diversity in presentation modes, acquisition devices, and prosthetic materials. Furthermore, the scarcity of negative sample data exacerbates the situation by causing domain shift issues and impeding robust generalization. Hence, there is a pressing need for more effective cross-domain approaches to bolster the model's capability to generalize across different scenarios.
This method improves the effectiveness of face anti-spoofing systems by analyzing pseudo-negative sample features, expanding the training dataset, and boosting cross-domain generalization. By generating pseudo-negative features with a new algorithm and aligning these features with the use of KL divergence loss, we enrich the negative sample dataset, aiding the training of a more robust feature classifier and broadening the range of attacks that the system can defend against.
Through experiments on four public datasets (MSU-MFSD, OULU-NPU, Replay-Attack, and CASIA-FASD), we assess the model's performance within and across datasets by controlling variables. Our method delivers positive results in multiple experiments, including those conducted on smaller datasets.
Through controlled experiments, we demonstrate the effectiveness of our method. Furthermore, our approach consistently yields favorable results in both intra-dataset and cross-dataset evaluations, thereby highlighting its excellent generalization capabilities. The superior performance on small datasets further underscores our method's remarkable ability to handle unseen data beyond the training set.
In resin transfer molding, void type defect is one of common process problems, it degenerates the mechanical performances of the final products seriously. Void content prediction has become a ...research hotspot in RTM, while the void formation when the flow direction and the tow direction are not identical or the fabric is sheared has not been studied to date. In this paper, based on the analysis of the resin flow velocities inside and outside fiber tows, a mathematical model to describe the formation of micro- and meso-scale-voids has been developed. Particular attention has been paid on the influence of flow direction and fabric shear on the impregnation of the unit cell, so their effects on the generation and size of voids have been obtained. Experimental validation has been conducted by measuring the formation and size of voids, a good agreement between the model prediction and experimental results has been found.
We have theoretically investigated the modulation between the opposite- and equal-spin pairings and the related transport properties in silicene-based ferromagnet/ferromagnet/superconductor hybrid ...structures with noncollinear magnetizations. Due to the exotic electronic properties of silicene, the exclusive fully spin-polarized equal-spin pairing state appears without any contamination from the opposite-spin pairing state in a perpendicular magnetic configuration. Furthermore, the switch effect between fully spin-polarized opposite- and equal-spin pairings can be realized by tuning the Fermi level. In addition, the fully spin-polarized equal-spin pairing correlation can be enhanced by modulation of the magnitude and orientation of the exchange field in the central region. It is also a significant finding that for the formation of the fully spin-polarized equal-spin pairing state, the length of the central layer can be taken to be large, but not for opposite-spin pairing. Our findings provide an ideal platform to explore fully spin-polarized opposite- and equal-spin pairing states separately.
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•Synthesized BC@Cu-BTC composed of copper-based organic skeleton and bamboo charcoal.•BC@Cu-BTC electrochemical sensor showed good current response for dopamine.•BC@Cu-BTC has good ...repeatability, reproducibility, selectivity and stability.
The nanocomposite (BC@Cu-BTC) composed of copper-based organic skeleton (Cu-BTC) and bamboo charcoal (BC) was successfully fabricated. The large specific surface area of Cu-BTC (1245.25 m2/g) and the synergistic effect with BC are beneficial for enhancing the current signal used to detect dopamine in aqueous solution. Additionally, cyclic voltammetry studies have shown that diffusion regulates the kinetic process of dopamine on the surface of the BC@Cu-BTC electrode, which is confirmed by the Warburg impedance in the low frequency region. The results show that the sensor has a very low detection limit (1.572 μmol/L at S/N = 3) and a wide detection range (1 ∼ 100 μmol/L). Based on excellent selectivity, stability, repeatability and reproducibility, the analytical performance of dopamine detection is evaluated. Finally, when BC@Cu-BTC is used as the electrode material, dopamine is detected in the urine, and the results are satisfactory.
Although the National Comprehensive Cancer Network and the Chinese Society of Clinical Oncology guidelines recommend comprehensive genomic profiling of lung adenocarcinoma, it has not been widely ...applied in Chinese hospitals. This observational study aimed to determine real-world evidence of whether comprehensive genomic profiling can benefit the survival of patients with lung cancer. We investigated the frequency of genomic alterations, treatment strategies, and clinical outcomes in 233 patients with advanced non-small cell lung carcinoma who were routinely screened using a 508-gene panel. The most prevalent drivers were mutations of EGFR (51%), KRAS (9%), PIK3CA (7%), ALK (7%), MET (6%), and BRAF (5%). Mutations in tumor suppressor genes included TP53, KEAP1, RB1, PTEN, and APC. Median overall survival (OS) was significantly shorter among patients harboring KRAS (mutant, n = 17; WT, n = 154) and TP53 (mutant, n = 103; WT n =68) mutations (11.3
24.0 months; P = 0.16 and 18.7
28.7 months; P = 0.018, respectively). The OS was longer among patients with tumors harboring EGFR (P = 0.069) and ALK (P = 0.51) mutations. Most patients (65.4%) with the driver gene-positive (EGFR, ALK, and ROS1) tumors were received TKI treatment, whereas those with driver gene wild tumors (53.1%) chose platinum-based therapy. Univariate and multivariate analyses associated a shorter OS among patients with tumors harboring concomitant TP53 and EGFR mutations. These findings provide additional evidence from real-world on the potential importance of targeted therapies as a treatment option in NSCLC patients harboring clinically actionable mutation.
In a ferromagnetic resonance experiment, the frequency vs resonance field data is fitted to the resonance condition formula for extraction of the effective magnetization and gyromagnetic ratio of the ...ferromagnetic material under test. We found that the fitting may result in significant error in some cases. We studied the influence of the number of data points, frequency range and noise level on the precision of the fittings by means of numerical simulation. The results suggest that the fitting is sensitive to the frequency range but an optimal frequency range can be estimated. The precision of the fitting is found to be proportional to the uncertainty in field measurements. As one increases the number of data points, the precision increases sharply in the beginning but the effect vanishes when the number of data points exceeds 40. The findings offer practical guidance for the design of ferromagnetic resonance experiments, which is a popular technique for ferromagnetic material characterization.
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•The hierarchically heterostructured UIO-66-NH2/CNTs was successfully prepared.•The SBET of the UIO-66-NH2/CNTs are 4–7 times higher than that of CNTs and more mesoporous structures ...appear in composites.•The CNTs can improve the conductivity of the composites especially for the UIO-66-NH2/CNTs-15.•The UIO-66-NH2/CNTs-15 exhibits excellent sensing behavior towards the Pb2+ ions detection.•The probable sensing mechanism of the composites was analyzed simply.
Developing electroactive materials with superior sensitivity, selectivity, and so on is an important issue for target ions detection. Hierarchically heterostructured nanomaterials represent a kind of promising active materials for electrochemical sensors due to the synthetic effect between different components and the high surface area. Herein, heterostructured UIO-66-NH2/CNTs nanocomposites have been successfully synthesized via the solvothermal method and investigated for the detection of Pb2+ ions. The SEM, TEM, XRD and FTIR collectively confirmed that the UIO-66-NH2 was successfully loaded on the surface of the CNTs. The specific surface areas of the UIO-66-NH2/CNTs are 4–7 times higher than that of activated CNTs and more mesoporous structures appear in composite materials. The electrochemical impedance spectroscopy measurements showed that the concentration of CNTs could influence the electron mobility and the UIO-66-NH2/CNTs-15 exhibits the lowest charge transfer resistance and the highest capacitive property. The cyclic voltammetry study towards K3Fe(CN)6 further demonstrated that the CNTs can improve the conductivity of the composites especially for the UIO-66-NH2/CNTs-15, which was conducive to the sensing behavior confirmed by follow-up performance experiments. Under the optimized condition, UIO-66-NH2/CNTs-15 exhibits the best sensing performance towards Pb2+. Correspondingly, a high sensitivity of 1.64 μA (μmol/L)−1 and a low detection limitation of 0.206 μmol/L (S/N = 3) are achieved. Meanwhile, a wide detection range, excellent selectivity, repeatability, and stability are also obtained. The recovery experiment by standard addition method is also carried out and a satisfactory result has been attained indicating a promising sensor for practical application.
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