USP9X regulates the proliferation, survival, migration and invasion of gastric cancer cells by stabilizing MTH1.

BACKGROUND: MutT homolog 1 (MTH1) sanitizes oxidized dNTP pools to promote the survival of cancer cells and its expression is frequently upregulated in cancers. Polyubiquitination stabilizes MTH1 to facilitate the proliferation of melanoma cells, suggesting the ubiquitin system controls the stability and function of MTH1. However, whether ubiquitination regulates MTH1 in gastric cancers has not been well defined. This study aims to investigate the interaction between MTH1 and a deubiquitinase, USP9X, in regulating the proliferation, survival, migration, and invasion of gastric cancer cells. METHODS: The interaction between USP9X and MTH1 was evaluated by co-immunoprecipitation (co-IP) in HGC-27 gastric cancer cells. siRNAs were used to interfere with USP9X expression in gastric cancer cell lines HGC-27 and MKN-45. MTT assays were carried out to examine the proliferation, propidium iodide (PI) and 7-AAD staining assays were performed to assess the cell cycle, Annexin V/PI staining assays were conducted to examine the apoptosis, and transwell assays were used to determine the migration and invasion of control, USP9X-deficient, and USP9X-deficient plus MTH1-overexpressing HGC-27 and MKN-45 gastric cancer cells. RESULTS: Co-IP data show that USP9X interacts with and deubiquitinates MTH1. Overexpression of USP9X elevates MTH1 protein level by downregulating its ubiquitination, while knockdown of USP9X has the opposite effect on MTH1. USP9X deficiency in HGC-27 and MKN-45 cells causes decreased proliferation, cell cycle arrest, extra apoptosis, and defective migration and invasion, which could be rescued by excessive MTH1. CONCLUSION: USP9X interacts with and stabilizes MTH1 to promote the proliferation, survival, migration and invasion of gastric cancer cells.

Non-neoplastic cells as prognostic biomarkers in diffuse large B-cell lymphoma: A system review and meta-analysis.

The microenvironment of diffuse large B-cell lymphoma (DLBCL) is composed of various components, including immune cells and immune checkpoints, some of which have been correlated with the prognosis of DLBCL, but their results remain controversial. Therefore, we conducted a systematic review and meta-analysis to investigate the association between the microenvironment and prognosis in DLBCL. We searched PubMed, Web of Science, and EMBASE for relevant articles between 2001 and 2022. Twenty-five studies involving 4495 patients with DLBCL were included in the analysis. This meta-analysis confirmed that high densities of Foxp3+Tregs and PD-1+T cells are good indicators for overall survival (OS) in DLBCL, while high densities of programmed cell death protein ligand1(PD-L1)-positive expression cells and T-cell immunoglobulin-and mucin domain-3-containing molecule 3 (TIM-3)-positive expression tumor-infiltrating cells (TILs) play a contrary role in OS. Additionally, higher numbers of T-cell intracytoplasmic antigen-1(TIA-1)-positive expression T cells imply better OS and progression-free survival (PFS), while high numbers of lymphocyte activation gene(LAG)-positive expression TILs predict bad OS and PFS. Various non-tumoral cells in the microenvironment play important roles in the prognosis of DLBCL.

PSAT1 promotes autophagy to resist insufficient autophagy caused by cigarette smoke extract in human airway epithelial cells.

The inhaling of cigarette smoke (CS) causes damage to airway epithelial cells, which is related to chronic obstructive pulmonary disease (COPD). It has been established that CS induces autophagy, but it is still unclear whether excessive or insufficient autophagy results in cell death. This study discovered that CS significantly elevates PSAT1 expression in bronchial epithelial cells. Further studies using autophagy inhibitor, RNA interference, RT-qPCR, western blot, and CCK-8 assay in 16-HBE cells have confirmed that autophagy is temporarily initiated by cigarette smoke extract (CSE), but insufficient autophagy leads to cell death. PSAT1 induced by CSE promotes autophagy and resists insufficient autophagy caused by CSE through Akt/mTOR pathway in human bronchial epithelial cells, playing a protective role.

Aphid Recognition and Counting Based on an Improved YOLOv5 Algorithm in a Climate Chamber Environment.

Due to changes in light intensity, varying degrees of aphid aggregation, and small scales in the climate chamber environment, accurately identifying and counting aphids remains a challenge. In this paper, an improved YOLOv5 aphid detection model based on CNN is proposed to address aphid recognition and counting. First, to reduce the overfitting problem of insufficient data, the proposed YOLOv5 model uses an image enhancement method combining Mosaic and GridMask to expand the aphid dataset. Second, a convolutional block attention mechanism (CBAM) is proposed in the backbone layer to improve the recognition accuracy of aphid small targets. Subsequently, the feature fusion method of bi-directional feature pyramid network (BiFPN) is employed to enhance the YOLOv5 neck, further improving the recognition accuracy and speed of aphids; in addition, a Transformer structure is introduced in front of the detection head to investigate the impact of aphid aggregation and light intensity on recognition accuracy. Experiments have shown that, through the fusion of the proposed methods, the model recognition accuracy and recall rate can reach 99.1%, the value mAP@0.5 can reach 99.3%, and the inference time can reach 9.4 ms, which is significantly better than other YOLO series networks. Moreover, it has strong robustness in actual recognition tasks and can provide a reference for pest prevention and control in climate chambers.

Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks.

Pepper leaf disease identification based on convolutional neural networks (CNNs) is one of the interesting research areas. However, most existing CNN-based pepper leaf disease detection models are suboptimal in terms of accuracy and computing performance. In particular, it is challenging to apply CNNs on embedded portable devices due to a large amount of computation and memory consumption for leaf disease recognition in large fields. Therefore, this paper introduces an enhanced lightweight model based on GoogLeNet architecture. The initial step involves compressing the Inception structure to reduce model parameters, leading to a remarkable enhancement in recognition speed. Furthermore, the network incorporates the spatial pyramid pooling structure to seamlessly integrate local and global features. Subsequently, the proposed improved model has been trained on the real dataset of 9183 images, containing 6 types of pepper diseases. The cross-validation results show that the model accuracy is 97.87%, which is 6% higher than that of GoogLeNet based on Inception-V1 and Inception-V3. The memory requirement of the model is only 10.3 MB, which is reduced by 52.31%-86.69%, comparing to GoogLeNet. We have also compared the model with the existing CNN-based models including AlexNet, ResNet-50 and MobileNet-V2. The result shows that the average inference time of the proposed model decreases by 61.49%, 41.78% and 23.81%, respectively. The results show that the proposed enhanced model can significantly improve performance in terms of accuracy and computing efficiency, which has potential to improve productivity in the pepper farming industry.

Treatment-free survival after discontinuation of immune checkpoint inhibitors in mNSCLC: a systematic review and meta-analysis.

Background: Recent research has suggested that patients with metastatic non-small cell lung cancer (mNSCLC) can achieve ongoing response after discontinuation of immune checkpoint inhibitor (ICI), but the best time to discontinue and the factors influencing efficacy remain unknown. Method: A systematic search was performed for prospective clinical trials in patients with mNSCLC treated with ICIs published up to July 10, 2022. Eligible studies reported treatment-free survival (TFS) after discontinuation of ICI in partial objective responders. We calculated objective response rate (ORR) and TFS using random-effects models with respective 95% confidence intervals (Cis), and performed subgroup analyses to discuss the specific associations between ORR and TFS and the associated influencing factors. Results: Across the 26 cohorts (3833 patients) included, the weighted mean ORR for all patients was 29.30% (95% CI 24.28% to 34.57%), with ICI plus chemotherapy (48.83%, 95% CI 44.36% to 53.30%) significantly higher than monotherapy (23.40%, 95% CI 18.53% to 28.62%). 395 patients were all patients who were complete or partial responders in the study, 194 discontinued ICI treatment, and nearly 35.5% achieved a durable response. No significant differences in TFS were found between subgroups according to the ICI regimen classification. Four cohorts of patients who completed 35 courses of treatment showed high levels of pooled TFS at 6 (80.18%, 95% CI 53.03% to 97.87%) and 12 months (66.98%, 95% CI 46.90% to 84.47%). Three cohorts of patients discontinued ICI treatment due to treatment-related adverse events (TRAEs) with the TFS rates at 6 (76.98%, 95% CI 65.79% to 86.65%) and 12 months (64.79%, 95% CI 50.20% to 78.19%). Conclusion: Patients with mNSCLC were able to achieve ongoing responses after discontinuation of ICI. In conclusion, the results of this meta-analysis indicate that different treatment regimens, different drugs or different treatment durations may have an impact on TFS.

Mettl3 Mediated m6A Methylation Involved in Epithelial-Mesenchymal Transition by Targeting SOCS3/STAT3/SNAI1 in Cigarette Smoking-Induced COPD.

Purpose: Persistent inflammation and epithelial-mesenchymal transition are essential pathophysiological processes in chronic obstructive pulmonary disease (COPD) and involve airway remodeling. m6A methylation modification was discovered to play an important role in various diseases. Nevertheless, the regulatory role of m6A methylation has not yet been investigated in cigarette smoking-induced COPD. The study aims to explore the regulatory role of m6A methylation in cigarette smoking-induced COPD. Patients and Methods: In this study, two Gene Expression Omnibus (GEO) datasets were first utilized to analyze the expression profiles of m6A RNA methylation regulators in COPD. We then established a cell model of COPD by exposing human bronchial epithelial cells (HBECs) to cigarette smoke extract (CSE) in vitro and detected the expression of m6A writer Mettl3 and EMT phenotype markers. RNA interference, cycloleucine, RT-qPCR, western blot, MeRIP-sequencing, and cell migration assay were performed to investigate the potential effect of Mettl3 on the EMT process in CSE-induced HBECs. Results: Our results showed that Mettl3 expression was significantly elevated in cigarette smoking-induced COPD patients and in a cellular model of COPD. Furthermore, Mettl3 silence and cycloleucine treatment inhibited the EMT process of HBECs caused by CSE. Mechanically, Mettl3 silence weakens the m6A methylation of SOCS3 mRNA to enhance the protein expression of SOCS3, inhibiting CSE-induced SOCS3/STAT3/SNAI1 signaling and EMT processes in HBECs. Conclusion: Our study inferred that Mettl3-mediated m6A RNA methylation modification modulates CSE-induced EMT by targeting SOCS3 mRNA and ultimately serves as a crucial regulator in the emergence of COPD. This conclusion reinforces the regulatory role of m6A methylation in COPD.

The Function and Mechanism of Long Non-Coding RNA RP11-23J9.4 in Thyroid Cancer.

INTRODUCTION: The objective of this research is to explore whether LncRNA RP11 23J9.4 can be used as a targeted marker for the treatment of thyroid cancer (TC), downregulation of LncRNA RP11 23J9.4 and X-ray radiation have synergistic inhibitory effect on TC. METHODS: The expression of LncRNA RP11 23J9.4 in papillary thyroid carcinoma (PTC) cell was downregulated by cell transfection, and its inhibitory effect on PTC cells was proved through proliferation, invasion experiment, apoptosis, and cell cycle analysis. The transfected cells were irradiated with 2 Gy X-ray. The above methods were also used to detect whether they had synergistic inhibitory effect on TC. The expression of Axin2 gene and protein were detected by real-time PCR, Western blotting, and immunohistochemistry. RESULTS: On the one hand, it is proved that downregulating the expression of LncRNA RP11 23J9.4 can inhibit the development of TC through Axin2. On the other hand, it is clear that downregulation of LncRNA RP11 23J9.4 and X-ray radiation have synergistic inhibitory effect on TC. CONCLUSIONS: LncRNA RP11 23J9.4 and X-ray have significant synergistic effect on TC. LncRNA RP11 23J9.4 can be used as a marker for TC targeted therapy.

Mettl3-mediated transcriptome-wide m6A methylation induced by cigarette smoking in human bronchial epithelial cells.

Cigarette smoke exposure is a well-recognized causative factor for Chronic obstructive pulmonary disease (COPD), but the molecular mechanisms responsible for this effect need to be further investigated. An expanding number of studies suggest that m6A modification is involved in the progression of various diseases. Nevertheless, evidence on the regulatory function of m6A modification in human bronchial epithelial cells exposed to cigarette smoke is scarce. In this study, we investigated for the first time the effect of cigarette smoke exposure on contributing to high Mettl3 expression in HBE cells in vitro, an essential m6A writer. To investigate the pattern of m6A modification in HBE cells following cigarette smoke exposure, Mettl3 was down-regulated in HBE cells and a MeRIP-seq analysis revealed differences in m6A methylation between wild-type (WT) and Mettl3 knockdown HBE cells exposed to CSE. There were 1584 significantly hypomethylated genes engaged in multicellular organismal developments. We identified 200 differentially expressed genes with hypomethylated m6A peaks in conjunction with Mettl3 knockdown, among four candidate genes (NR1H4, TSPEAR, ACSBG1, and SLC5A5) that could be further explored in COPD. According to the research, cigarette smoke may control the behavior of human bronchial epithelial cells through m6A modification in COPD, providing a unique molecular mechanism.

Sandwich-type electrochemical immunosensing of hypopharyngeal carcinoma biomarker carcinoembryonic antigen based on N-doped hollow mesoporous nanocarbon spheres/gold hybrids as sensing platform and gold/ferrocene as signal amplifier.

In the present work, a highly sensitive sandwich-type electrochemical immunosensor of carcinoembryonic antigen (CEA) was developed by preparing N-doped hollow mesoporous nanocarbon spheres/gold hybrids (NHMN/Au) hybridsas sensing platformand Au/ferrocene (Au/Fc) as signal amplifiers. The large surface area and high conductivity as well as good biocompatibility of NHMN/Au can increase the loading of primary antibody (Ab1) and accelerate the electron transport rate of the electrode surface, while Au can carry immobilized secondary antibodies (Ab2) and Fc derivative (Fc-SH).By using Fc-SH as response probe, the experiments show that the peak current of probe could increase after occurring the specific recognition of Ab1-CEA-Ab2, thus a novel sandwich-type immunosensor of CEA was developed. Finally, the proposed method for CEA detection was applied in human serum and the obtained results are satisfactory, indicating the developed method has important clinical applications for CEA determination.

Hsa_circ_0136666 mediates the antitumor effect of curcumin in colorectal carcinoma by regulating CXCL1 via miR-1301-3p.

BACKGROUND: This study investigate the anti-tumor effect of curcumin and whether its mediated by hsa_circ_0136666 through miR-1301-3p/CXCL1 in colorectal carcinoma (CRC). Through multiple experiments, we have drawn the conclusion that curcumin inhibited CRC development through the hsa_circ_0136666/miR-1301-3p/CXCL1 axis, hinting at a novel treatment option for curcumin to prevent CRC development. AIM: To determine whether hsa_circ_0136666 involvement in curcumin-triggered CRC progression was mediated by sponging miR-1301-3p. METHODS: Cell counting kit-8, colony-forming cell, 5-ethynyl-2'-deoxyuridine, and flow cytometry assays were carried out to determine cell proliferation, apoptosis, and cell cycle progression. Real-time quantitative polymerase chain reaction quantified hsa_circ_0136666, miR-1301-3p, and chemokine (C-X-C motif) ligand 1 (CXCL1), and western blot analysis determined CXCL1, B-cell lymphoma-2 (Bcl-2), and Bcl-2 related X protein (Bax) protein levels. CircBank or starbase software was first used for the prediction of miR-1301-3p binding with hsa_circ_0136666 and CXCL1, followed by RNA pull-down, RNA immunoprecipitation, and dual-luciferase reporter assay validation. In vivo experiments were implemented in a murine xenograft model. RESULTS: Curcumin blocked CRC cell proliferation but boosted apoptosis. Moreover, elevated hsa_circ_0136666 Levels were observed in CRC cells, which were reduced by curcumin. In vitro, hsa_circ_0136666 overexpression abolished the antitumor activity of CRC cells. Mechanical analysis revealed the ability of hsa_circ_0136666 to sponge miR-1301-3p to modulate CXCL1 levels. CONCLUSION: Curcumin inhibited CRC development through the hsa_circ_0136666/miR-1301-3p/CXCL1 axis, hinting at a novel treatment option for curcumin to prevent CRC development.

Dissection of transcriptome and metabolome insights into the isoquinoline alkaloid biosynthesis during stem development in Phellodendron amurense (Rupr.).

Phellodendron amurense (Rupr.) is a well-known medicinal plant with high medicinal value, and its various tissues are enriched in various active pharmaceutical ingredients. Isoquinoline alkaloids are the primary medicinal component of P. amurense and have multiple effects, such as anti-inflammation, antihypertension, and antitumor effects. However, the potential regulatory mechanism of isoquinoline alkaloid biosynthesis during stem development in P. amurense is still poorly understood. In the present study, a total of eight plant hormones for each stem development stage were detected; of those, auxin, gibberellins and brassinosteroids were significantly highly increased in perennial stems and played key roles during stem development in P. amurense. We also investigated the content and change pattern of secondary metabolites and comprehensively identified some key structural genes involved in the isoquinoline alkaloid biosynthesis pathway by combining the transcriptome and metabolomics. A total of 39,978 DEGs were identified in the present study, and six of those had candidate structural genes (NCS, GOT2, TYNA, CODM, TYR, TAT and PSOMT1) that were specifically related to isoquinoline alkaloid biosynthesis in P. amurense. Corydalmine, cyclanoline, dehydroyanhunine, (S)-canadine and corybulbine were the most significantly upregulated metabolites among the different comparative groups. Three differentially expressed metabolites, dopamine, (S)-corytuberine and (S)-canadine, were enriched in the isoquinoline alkaloid biosynthesis pathway. Furthermore, bHLH and WRKY transcription factors play key roles in the isoquinoline alkaloid biosynthesis pathway in P. amurense. The results not only provide comprehensive genetic information for understanding the molecular mechanisms of isoquinoline alkaloid biosynthesis but also lay a foundation for the combinatory usage of the medicinal active ingredient of P. amurense.

Diagnostic accuracy of DNA-based SDC2 methylation test in colorectal cancer screening: a meta-analysis.

BACKGROUND: A growing body of research suggests that methylated genes can be used as early diagnostic markers for cancer. Some studies on methylated Syndecan 2 (SDC2) have shown that it has a great diagnostic ability in colorectal cancer. This meta-analysis was aimed to estimate the diagnostic performance of methylated SDC2 as a potential novel biomarker to screen for the colorectal cancer. METHODS: Two independent researchers conducted a comprehensive literature search to identify all relevant studies on SDC2 methylation for the diagnosis of colorectal cancer from inception to March 1, 2021. By using STATA and Revman software, the data were analyzed using a Bivariate mixed model. The quality of each study was also evaluated. RESULTS: A total of 12 studies comprised of 1574 colorectal cancer patients and 1945 healthy people were included in our meta-analysis. Bivariate analysis showed a pooled sensitivity of 0.81 [95% confidence interval (CI) 0.74-0.86], specificity of 0.95 (95% CI 0.93-0.96), positive likelihood ratio of 15.29 (95% CI 10.83-21.60), and negative likelihood ratio of 0.21 (95% CI 0.15-0.27). The diagnostic odds ratio and the area under the summary ROC curve for diagnosing colorectal cancer were 74.42 (95% CI45.44-121.89) and 0.96 (95% CI 0.94-0.97), respectively. For adenomas, the pooled sensitivity and specificity were 0.47 (95% CI 0.34-0.61) and 0.95 (95% CI 0.92-0.97), respectively. CONCLUSIONS: Our analysis revealed that methylated SDC2 could be considered as a potential novel biomarker to screen for colorectal cancer.

A novel signal enhancement strategy for the detection of DNA oxidative damage biomarker 8-OHdG based on the synergy between ß-CD-CuNCs and multi-walled carbon nanotubes.

OBJECTIVE: To propose a novel signal enhancement strategy based on the synergy between ß-CD-CuNCs and multi-walled carbon nanotubes (MWCNTs) for the detection of DNA oxidative damage biomarker 8-Hydroxy-2'-deoxyguanosine (8-OHdG). METHODS: The sensor was constructed with the ß-CD-CuNCs-MWCNTs-nafion film and successfully used for the quantitative detection of 8-OhdG in the presence of biomolecules such as ascorbic acid (AA) and uric acid (UA). To investigate the surface morphology of the modified electrode, Transmission Electron Microscopy (TEM), Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS) were performed on bare and modified electrodes. RESULTS: According to Differential Pulse Voltammetry (DPV) results, there was a linear relationship between peak current and concentration of 8-OhdG, ranging from 1.0×10-7 to 1.0×10-6 mol/L (R2=0.9926) and 1.0×10-6 to 2.0×10-5 mol/L (R2=0.9933). The detection limit (S/N=3) was 33 nmol/L. CONCLUSIONS: The proposed sensor had been successfully applied to the determination of 8-OHdG in human urine samples with high recovery rates.

Design of a Blockchain-Enabled Traceability System Framework for Food Supply Chains.

Tracing food products along the entire supply chain is important for achieving better management of food products. Traditionally, centralized traceability systems have been developed for such purposes. One major drawback of this approach is that different users of the supply chain have their own systems with their own complexities and distinct features; thus, the interaction among them creates challenges when implementing a single centralized system. Therefore, a decentralized traceability system is favorable for tracing food products along the supply chain. In this study, we develop a supply chain traceability system framework based on blockchain and radio frequency identification (RFID) technology. The system consists of a decentralized blockchain-enabled data storage platform for data management and an RFID system at the packaging level for data collection and storage. We applied a consortium blockchain to the application. Fabric 2.0 in Hyperledger was chosen as the development platform. The proposed blockchain-enabled platform can provide decentralized data management and its underlying algorithm can guarantee data security. The system includes a creatively designed blockchain-enabled data structure in the RFID tag. When people scan the tag, the relevant information is written in the tag as a block linked to the previous blocks; simultaneously, the information is transmitted to the blockchain platform and recorded on the platform. No battery is required and the system works when there is an RFID reader nearby. The usage conditions included shipment, stocking, and storage. The RFID tag can be directly attached to paper packaging. This approach embeds the blockchain technique into the RFID tag and develops a corresponding system. The new traceability system has the potential to simplify the tracking of products and can be scaled for industrial use.

Chain Mediation Model of Perceived Stress, Resilience, and Social Support on Coping Styles of Chinese Patients on Hemodialysis During COVID-19 Pandemic Lockdown.

BACKGROUND The recurrence of COVID-19 and the continuous escalation of prevention and control policies can lead to an increase in mental health problems. This study aimed to investigate the perceived stress, coping style, resilience, and social support among patients on maintenance hemodialysis (MHD) during the COVID-19 epidemic lockdown in China. MATERIAL AND METHODS This cross-sectional observational study enrolled 197 patients on MHD from the Guangdong Province Traditional Chinese Medical Hospital and the Hedong Hospital of Guangzhou Liwan District People's Hospital during July 2021. AMOS 24.0 and PROCESS Macro 3.1 model 6 were used for analyses of moderating mediating effects. RESULTS Perceived stress was negatively correlated with positive coping style (r=-0.305, P<0.001) and resilience (r=-0.258, P<0.001), whereas resilience (r=0.631, P<0.001) and social support (r=0.300, P<0.001) were positively correlated with positive coping style among patients on MHD. In the moderated mediating model, perceived stress had significant direct predictive effects on positive coping style (95% CI -0.33, -0.07), and perceived stress had significant indirect predictive effects on positive coping styles through resilience (95% CI -0.26, -0.06) or social support (95% CI 0.01, 0.06). Perceived stress had significant indirect predictive effects on positive coping style through both resilience and social support (95% CI -0.04, -0.01). CONCLUSIONS Perceived stress not only predicted coping style directly, but also indirectly predicted coping style through resilience and social support. Coping style was affected by internal and external factors during the COVID-19 pandemic lockdown period.

MicroRNA-625-3p improved proliferation and involved chemotherapy resistance via targeting PTEN in high grade ovarian serous carcinoma.

OBJECTIVE: High-grade serous ovarian cancer (HGSOC) is an aggressive gynaecological malignancy and associated with poor prognosis. Here we examined the effects of miR-625-3p on proliferation, treatment, migration and invasion in HGSOC. METHODS: The proliferation of HGSOC cells was evaluated by MTT assay. Transwell assay was performed to examine migration and matrigel assay were used to assess invasion. The effect of miR-625-3p on cisplatin-induced apoptosis was investigated by Caspase-Glo3/7 assay. The dual-luciferase reporter assay was carried out to confirm the potential binding site. RESULTS: Overexpression of miR-625-3p promoted proliferation, and increased migration and invasion in HGSOC cells. MiR-625-3p significantly inhibited cisplatin sensitivity in HGSOC cells. Meanwhile, miR-625-3p decreased cisplatin-induced apoptosis by regulation of BAX and Bcl-2 expression. Furthermore, aberrant expression of miR-625-3p changed PTEN expression by directly binding to 3'UTR of PTEN. Further study showed miR-625-3p expression was higher in human HGSOC tissue than normal ovarian tissues and associated with higher clinical stage. CONCLUSIONS: miR-625-3p promotes HGSOC growth, involves chemotherapy resistance and might serve as a potential biomarker to predict chemotherapy response and prognosis in HGSOC.

Research on Indoor 3D Positioning Algorithm Based on WiFi Fingerprint.

Indoor 3D positioning is useful in multistory buildings, such as shopping malls, libraries, and airports. This study focuses on indoor 3D positioning using wireless access points (AP) in an environment without adding additional hardware facilities in large-scale complex places. The integration of a deep learning algorithm into indoor 3D positioning is studied, and a 3D dynamic positioning model based on temporal fingerprints is proposed. In contrast to the traditional positioning models with a single input, the proposed method uses a sliding time window to build a temporal fingerprint chip as the input of the positioning model to provide abundant information for positioning. Temporal information can be used to distinguish locations with similar fingerprint vectors and to improve the accuracy and robustness of positioning. Moreover, deep learning has been applied for the automatic extraction of spatiotemporal features. A temporal convolutional network (TCN) feature extractor is proposed in this paper, which adopts a causal convolution mechanism, dilated convolution mechanism, and residual connection mechanism and is not limited by the size of the convolution kernel. It is capable of learning hidden information and spatiotemporal relationships from the input features and the extracted spatiotemporal features are connected with a deep neural network (DNN) regressor to fit the complex nonlinear mapping relationship between the features and position coordinates to estimate the 3D position coordinates of the target. Finally, an open-source public dataset was used to verify the performance of the localization algorithm. Experimental results demonstrated the effectiveness of the proposed positioning model and a comparison between the proposed model and existing models proved that the proposed model can provide more accurate three-dimensional position coordinates.

Volatile organic compounds as a potential screening tool for neoplasm of the digestive system: a meta-analysis.

This meta-analysis was aimed to estimate the diagnostic performance of volatile organic compounds (VOCs) as a potential novel tool to screen for the neoplasm of the digestive system. An integrated literature search was performed by two independent investigators to identify all relevant studies investigating VOCs in diagnosing neoplasm of the digestive system from inception to 7th December 2020. STATA and Revman software were used for data analysis. The methodological quality of each study was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A bivariate mixed model was used and meta-regression and subgroup analysis were performed to identify possible sources of heterogeneity. A total of 36 studies comprised of 1712 cases of neoplasm and 3215 controls were included in our meta-analysis. Bivariate analysis showed a pooled sensitivity of 0.87 (95% confidence interval (CI) 0.83-0.90), specificity of 0.86 (95% CI 0.82-0.89), a positive likelihood ratio of 6.18 (95% CI 4.68-8.17), and a negative likelihood ratio of 0.15 (95% CI 0.12-0.20). The diagnostic odds ratio and the area under the summary ROC curve for diagnosing neoplasm of the digestive system were 40.61 (95% CI 24.77-66.57) and 0.93 (95% CI 0.90-0.95), respectively. Our analyses revealed that VOCs analysis could be considered as a potential novel tool to screen for malignant diseases of the digestive system.