Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding.

Introduction: The time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding. However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges for motor imagery decoding. Sparse regularization is an effective method for addressing this issue. However, the most commonly employed sparse regularization models in motor imagery decoding, such as the least absolute shrinkage and selection operator (LASSO), is a biased estimation method and leads to the loss of target feature information. Methods: In this paper, we propose a non-convex sparse regularization model that employs the Cauchy function. By designing a proximal gradient algorithm, our proposed model achieves closer-to-unbiased estimation than existing sparse models. Therefore, it can learn more accurate, discriminative, and effective feature information. Additionally, the proposed method can perform feature selection and classification simultaneously, without requiring additional classifiers. Results: We conducted experiments on two publicly available motor imagery EEG datasets. The proposed method achieved an average classification accuracy of 82.98% and 64.45% in subject-dependent and subject-independent decoding assessment methods, respectively. Conclusion: The experimental results show that the proposed method can significantly improve the performance of motor imagery decoding, with better classification performance than existing feature selection and deep learning methods. Furthermore, the proposed model shows better generalization capability, with parameter consistency over different datasets and robust classification across different training sample sizes. Compared with existing sparse regularization methods, the proposed method converges faster, and with shorter model training time.

Multilayer omics landscape analyses reveal the regulatory responses of tea plants to drought stress.

Adverse environments, especially drought conditions, deeply influence plant development and growth in all aspects, and the yield and quality of tea plants are largely dependent on favorable growth conditions. Although tea plant responses to drought stress (DS) have been studied, a comprehensive multilayer epigenetic, transcriptomic, and proteomic investigation of how tea responds to DS is lacking. In this study, we generated DNA methylome, transcriptome, proteome, and phosphoproteome data to explore multiple regulatory landscapes in the tea plant response to DS. An integrated multiomics analysis revealed the response of tea plants to DS at multiple regulatory levels. Furthermore, a set of DS-responsive genes involved in photosynthesis, transmembrane transportation, phytohormone metabolism and signaling, secondary metabolite pathways, transcription factors, protein kinases, posttranslational and epigenetic modification, and other key stress-responsive genes were identified for further functional investigation. These results reveal the multilayer regulatory landscape of the tea plant response to DS and provide insight into the mechanisms of these DS responses.

Discrepancy between inter- and intra-subject variability in EEG-based motor imagery brain-computer interface: Evidence from multiple perspectives.

Introduction: Inter- and intra-subject variability are caused by the variability of the psychological and neurophysiological factors over time and across subjects. In the application of in Brain-Computer Interfaces (BCI), the existence of inter- and intra-subject variability reduced the generalization ability of machine learning models seriously, which further limited the use of BCI in real life. Although many transfer learning methods can compensate for the inter- and intra-subject variability to some extent, there is still a lack of clear understanding about the change of feature distribution between the cross-subject and cross-session electroencephalography (EEG) signal. Methods: To investigate this issue, an online platform for motor-imagery BCI decoding has been built in this work. The EEG signal from both the multi-subject (Exp1) and multi-session (Exp2) experiments has been analyzed from multiple perspectives. Results: Firstly we found that with the similar variability of classification results, the time-frequency response of the EEG signal within-subject in Exp2 is more consistent than cross-subject results in Exp1. Secondly, the standard deviation of the common spatial pattern (CSP) feature has a significant difference between Exp1 and Exp2. Thirdly, for model training, different strategies for the training sample selection should be applied for the cross-subject and cross-session tasks. Discussion: All these findings have deepened the understanding of inter- and intra-subject variability. They can also guide practice for the new transfer learning methods development in EEG-based BCI. In addition, these results also proved that BCI inefficiency was not caused by the subject's unable to generate the event-related desynchronization/synchronization (ERD/ERS) signal during the motor imagery.

Aroma characteristics of Wuyi rock tea prepared from 16 different tea plant varieties.

Wuyi rock tea (WRT) is famous for its long history and unique characteristic of floral, fruity and nutty flavors. This study investigated the aroma characteristics of WRTs prepared from 16 different oolong tea plant varieties. The sensory evaluation results showed that all WRTs had an 'Yan flavor' taste, and the odor was strong and lasting. Roasted, floral and fruity odors were the prime aroma profiles for WRTs. Furthermore, a total of 368 volatile compounds were detected using HS-SPME-GC-MS and analyzed with OPLS-DA and HCA methods. The volatile compounds heterocyclic compounds, esters, hydrocarbons, terpenoids and ketones were the major aromatic components of the WRTs. Specifically, the volatile profiles among newly selected cultivars were comparatively analyzed, and 205 differential volatile compounds were found with variable importance in the projection (VIP) values above 1.0. These results indicated that the aroma profiles of WRTs were mainly dependent on the cultivar specificities of volatile compounds.

M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge.

EEG signals exhibit commonality and variability across subjects, sessions, and tasks. But most existing EEG studies focus on mean group effects (commonality) by averaging signals over trials and subjects. The substantial intra- and inter-subject variability of EEG have often been overlooked. The recently significant technological advances in machine learning, especially deep learning, have brought technological innovations to EEG signal application in many aspects, but there are still great challenges in cross-session, cross-task, and cross-subject EEG decoding. In this work, an EEG-based biometric competition based on a large-scale M3CV (A Multi-subject, Multi-session, and Multi-task Database for investigation of EEG Commonality and Variability) database was launched to better characterize and harness the intra- and inter-subject variability and promote the development of machine learning algorithm in this field. In the M3CV database, EEG signals were recorded from 106 subjects, of which 95 subjects repeated two sessions of the experiments on different days. The whole experiment consisted of 6 paradigms, including resting-state, transient-state sensory, steady-state sensory, cognitive oddball, motor execution, and steady-state sensory with selective attention with 14 types of EEG signals, 120000 epochs. Two learning tasks (identification and verification), performance metrics, and baseline methods were introduced in the competition. In general, the proposed M3CV dataset and the EEG-based biometric competition aim to provide the opportunity to develop advanced machine learning algorithms for achieving an in-depth understanding of the commonality and variability of EEG signals across subjects, sessions, and tasks.

Risk Factors and Prediction Models for Nonalcoholic Fatty Liver Disease Based on Random Forest.

Objective: To establish a risk prediction model of nonalcoholic fatty liver disease (NAFLD) and provide management strategies for preventing this disease. Methods: A total of 200 inpatients and physical examinees were collected from the Department of Gastroenterology and Endocrinology and Physical Examination Center. The data of physical examination, laboratory examination, and abdominal ultrasound examination were collected. All subjects were randomly divided into a training set (70%) and a verification set (30%). A random forest (RF) prediction model is constructed to predict the occurrence risk of NAFLD. The receiver operating characteristic (ROC) curve is used to verify the prediction effect of the prediction models. Results: The number of NAFLD patients was 44 out of 200 enrolled patients, and the cumulative incidence rate was 22%. The prediction models showed that BMI, TG, HDL-C, LDL-C, ALT, SUA, and MTTP mutations were independent influencing factors of NAFLD, all of which has statistical significance (P < 0.05). The area under curve (AUC) of logistic regression and the RF model was 0.940 (95% CI: 0.870~0.987) and 0.945 (95% CI: 0.899~0.994), respectively. Conclusion: This study established a prediction model of NAFLD occurrence risk based on the RF, which has a good prediction value.

Discriminant Analysis of Pu-Erh Tea of Different Raw Materials Based on Phytochemicals Using Chemometrics.

Pu-erh tea processed from the sun-dried green tea leaves can be divided into ancient tea (AT) and terrace tea (TT) according to the source of raw material. However, their similar appearance makes AT present low market identification, resulting in a disruption in the tea market rules of fair trade. Therefore, this study analyzed the classification by principal component analysis/hierarchical clustering analysis and conducted the discriminant model through stepwise Fisher discriminant analysis and decision tree analysis based on the contents of water extract, phenolic components, alkaloid, and amino acids, aiming to investigate whether phytochemicals coupled with chemometric analyses distinguish AT and TT. Results showed that there were good separations between AT and TT, which was caused by 16 components with significant (p < 0.05) differences. The discriminant model of AT and TT was established based on six discriminant variables including water extract, (+)-catechin, (−)-epicatechin, (−)-epigallocatechin, theacrine, and theanine. Among them, water extract comprised multiple soluble solids, representing the thickness of tea infusion. The model had good generalization capability with 100% of performance indexes according to scores of the training set and model set. In conclusion, phytochemicals coupled with chemometrics analyses are a good approach for the identification of different raw materials.

Middle ear adenomatous neuroendocrine tumors: suggestion for surgical strategy / Tumores neuroendócrinos adenomatosos da orelha média: sugestão de estratégia cirúrgica

Abstract Introduction Middle ear adenomatous neuroendocrine tumors are extremely rare neoplasms with epithelial and neuroendocrine differentiation, accounting for fewer than 2% of all middle and inner ear tumors. Universal standard surgical procedures for different stages of these tumors remain elusive due to the limitation of the small number of case reports or investigations. Objective(s) This study intends to investigate proper surgical strategies for patients with middle ear adenomatous neuroendocrine tumors. Methods Six patients with middle ear adenomatous neuroendocrine tumors who were treated at the Second Affiliated Hospital of Nanchang University (Nanchang, China) and the Eye, Ear, Nose, and Throat Hospital of Fudan University (Shanghai, China) respectively. Clinical characteristics and management strategies of patients were reviewed. The mean follow-up time was 63.7 months (range, 13-153 months). All the information was collected from medical records and prognosis postoperatively. Results Three patients underwent canal wall-up tympanomastoidectomy, including one patient with recurrence who underwent a previous tympanotomy; the other three patients underwent lateral temporal bone resection All of these patients were followed up with no evidence of recurrence or metastasis. Patients underwent canal wall-up surgery treatment accompanied with hearing function preservation measurements during follow-up periods. Conclusions Complete surgical resection provided good results for patients with middle ear adenomatous neuroendocrine tumors. The ossicular chain should be removed. Because of the propensity for local recurrence and invasiveness, as well as regional or distant metastasis of these tumors, it is necessary to schedule long-term follow-up and an observation plan postoperatively.

Resumo Introdução Os tumores neuroendócrinos adenomatosos da orelha média são neoplasias extremamente raras, com diferenciação epitelial e neuroendócrina, responsáveis por menos de 2% de todos os tumores de orelha média e interna. Os procedimentos cirúrgicos padrão universais para diferentes estágios desses tumores permanecem indefinidos, devido à limitação do pequeno número de relatos de casos ou investigações. Objetivo Este estudo foi feito com o objetivo de investigar estratégias cirúrgicas adequadas para pacientes com tumores neuroendócrinos adenomatosos da orelha média. Método Seis pacientes com tumores neuroendócrinos adenomatosos da orelha média foram tratados no Second Affiliated Hospital da Nanchang University (Nanchang, China) e no Eye, Ear, Nose, and Throat Hospital da Fudan University (Xanghai, China), respectivamente. As características clínicas e estratégias de tratamento dos pacientes foram revisadas. O tempo médio de seguimento foi de 63,7 meses (variação de 13 a 153 meses). Todas as informações foram coletadas dos prontuários e prognóstico no pós-operatório. Resultados Três pacientes foram submetidos à timpanomastoidectomia do tipo canal wall-up, inclusive um paciente com recorrência submetido a uma timpanotomia anterior; os outros três pacientes foram submetidos à ressecção lateral do osso temporal. Todos os pacientes foram acompanhados, sem evidência de recorrência ou metástase. Os pacientes foram submetidos ao tratamento cirúrgico com a técnica de canal wall-up acompanhado de medidas de preservação da função auditiva durante os períodos de seguimento. Conclusões A ressecção cirúrgica completa proporcionou bons resultados para pacientes com tumores neuroendócrinos adenomatosos da orelha média. A cadeia ossicular deve ser removida. Devido a propensão à recorrência e invasão local, bem como metástases regionais ou distantes desses tumores, é necessário um seguimento de longo prazo e um plano de seguimento no pós-operatório.

Multi-Metabolomics Coupled with Quantitative Descriptive Analysis Revealed Key Alterations in Phytochemical Composition and Sensory Qualities of Decaffeinated Green and Black Tea from the Same Fresh Leaves.

The supercritical CO2-based decaffeination (SCD) method can be used to prepare decaffeinated tea, but its overall effect on the phytochemicals, volatiles, and sensory qualities of green and black teas is still unclear, and its suitability to prepare decaffeinated green and black teas still needs to be compared. This study revealed the effect of SCD on phytochemicals, volatiles, and sensory qualities in black and green tea prepared from the same tea leaves, and compared the suitability of preparing decaffeinated green and black teas using SCD. The results showed that the SCD could remove 98.2 and 97.1% of the caffeine in green and black tea, respectively. However, it can cause further losses of phytochemicals in green and black teas, specifically the loss of epigallocatechin gallate, epigallocatechin, epicatechin gallate, and gallocatechin gallate in green tea and the loss of theanine and arginine in green and black teas. After the decaffeination, both green and black teas lost some volatiles but also generated new volatiles. Especially, the fruit/flower-like aroma, ocimene, linalyl acetate, geranyl acetate, and D-limonene, were generated in the decaffeinated black tea, while herbal/green-like aroma, ß-cyclocitral, 2-ethylhexanol, and safranal, were generated in the decaffeinated green tea. The overall acceptance of decaffeinated green tea decreased due to the substantial reduction in bitterness and astringency, while the overall acceptance of decaffeinated black tea significantly increased. Therefore, SCD is more suitable for the preparation of decaffeinated black tea.

Middle ear adenomatous neuroendocrine tumors: suggestion for surgical strategy.

INTRODUCTION: Middle ear adenomatous neuroendocrine tumors are extremely rare neoplasms with epithelial and neuroendocrine differentiation, accounting for fewer than 2% of all middle and inner ear tumors. Universal standard surgical procedures for different stages of these tumors remain elusive due to the limitation of the small number of case reports or investigations. OBJECTIVE(S): This study intends to investigate proper surgical strategies for patients with middle ear adenomatous neuroendocrine tumors. METHODS: Six patients with middle ear adenomatous neuroendocrine tumors who were treated at the Second Affiliated Hospital of Nanchang University (Nanchang, China) and the Eye, Ear, Nose, and Throat Hospital of Fudan University (Shanghai, China) respectively. Clinical characteristics and management strategies of patients were reviewed. The mean follow-up time was 63.7 months (range, 13-153 months). All the information was collected from medical records and prognosis postoperatively. RESULTS: Three patients underwent canal wall-up tympanomastoidectomy, including one patient with recurrence who underwent a previous tympanotomy; the other three patients underwent lateral temporal bone resection All of these patients were followed up with no evidence of recurrence or metastasis. Patients underwent canal wall-up surgery treatment accompanied with hearing function preservation measurements during follow-up periods. CONCLUSIONS: Complete surgical resection provided good results for patients with middle ear adenomatous neuroendocrine tumors. The ossicular chain should be removed. Because of the propensity for local recurrence and invasiveness, as well as regional or distant metastasis of these tumors, it is necessary to schedule long-term follow-up and an observation plan postoperatively.

Effect of brewing conditions on phytochemicals and sensory profiles of black tea infusions: A primary study on the effects of geraniol and ß-ionone on taste perception of black tea infusions.

As a worldwide popular drink, black tea has always been one of the main focuses of tea studies. However, few studies have addressed the flavor profiles and related components, and most researches were based on a single factor. This study investigated the effects of multiple brewing conditions (temperature, time, water/tea ratio, and particle size) on the phytochemicals (non-volatile and volatile compounds) and sensory profiles of black tea infusions through response surface methodology. The regression models describing the brewing of detected indexes were significant (p ≤ 0.01) and reliable (R2 ≥ 0.902). The particle size led to the greatest variation of non-volatile compounds and presented negative correlations, while the water/tea ratio affected the composition of volatile compounds the most. Meanwhile, through the addition of the selected aroma compounds (geraniol and ß-ionone), an enhancement of black tea infusion sweetness was observed, proved the existence of odor-taste interaction in black tea infusions.

Parotidectomy in the management of squamous cell carcinoma of the external auditory canal.

PURPOSE: To investigate optimal approaches for appropriate removal of the parotid gland in the management of squamous cell carcinoma (SCC) of the external auditory canal (EAC) at different tumor stages. METHODS: In total, 39 patients with SCC of EAC treated at the Second Affiliated Hospital of Nanchang University between September 2003 and April 2019 were enrolled in this study. All patients underwent lateral temporal bone resection or subtotal temporal bone resection. Total parotidectomy was performed in patients with direct parotid invasion. Superficial parotidectomy was performed in patients with parotid node metastasis and patients with advanced stages without evidence of parotid involvement. RESULTS: The mean follow-up period was 68.7 months. Local recurrences or distant metastases occurred in five patients (12.8%). The 5-year overall survival rate was 78.4%. The 5-year survival rate was 100% in early stage (T1 and T2) patients, and 58.9 and 50.0% in patients staged III and IV, respectively. Direct parotid invasion was observed in only advanced-stage patients, while parotid node metastasis was noted in both early and advanced-stage patients preoperatively. There were no significant differences (χ2 = 0.1026; p = 0.749) between different tumor primary locations. However, soft tissue or preauricular organs became vulnerable once the anterior wall was infiltrated or eroded. CONCLUSION: Parotid management is important for achieving safer and wider tumor-free margins. Total parotidectomy should be mandatory for all advanced-staged (T3 and T4) patients. An optimal decision for parotid management in early stages depends on the infiltration or erosion of the anterior wall of the EAC.

The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.

The common spatial pattern (CSP) is a very effective feature extraction method in motor imagery based brain computer interface (BCI), but its performance depends on the selection of the optimal frequency band. Although a lot of research works have been proposed to improve CSP, most of these works have the problems of large computation costs and long feature extraction time. To this end, three new feature extraction methods based on CSP and a new feature selection method based on non-convex log regularization are proposed in this paper. Firstly, EEG signals are spatially filtered by CSP, and then three new feature extraction methods are proposed. We called them CSP-wavelet, CSP-WPD and CSP-FB, respectively. For CSP-Wavelet and CSP-WPD, the discrete wavelet transform (DWT) or wavelet packet decomposition (WPD) is used to decompose the spatially filtered signals, and then the energy and standard deviation of the wavelet coefficients are extracted as features. For CSP-FB, the spatially filtered signals are filtered into multiple bands by a filter bank (FB), and then the logarithm of variances of each band are extracted as features. Secondly, a sparse optimization method regularized with a non-convex log function is proposed for the feature selection, which we called LOG, and an optimization algorithm for LOG is given. Finally, ensemble learning is used for secondary feature selection and classification model construction. Combing feature extraction and feature selection methods, a total of three new EEG decoding methods are obtained, namely CSP-Wavelet+LOG, CSP-WPD+LOG, and CSP-FB+LOG. Four public motor imagery datasets are used to verify the performance of the proposed methods. Compared to existing methods, the proposed methods achieved the highest average classification accuracy of 88.86, 83.40, 81.53, and 80.83 in datasets 1-4, respectively. The feature extraction time of CSP-FB is the shortest. The experimental results show that the proposed methods can effectively improve the classification accuracy and reduce the feature extraction time. With comprehensive consideration of classification accuracy and feature extraction time, CSP-FB+LOG has the best performance and can be used for the real-time BCI system.

Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference.

BACKGROUND: Image segmentation is an important part of computer-aided diagnosis (CAD), the segmentation of small ground glass opacity (GGO) pulmonary nodules is beneficial for the early detection of lung cancer. For the segmentation of small GGO pulmonary nodules, an integrated active contour model based on Markov random field energy and Bayesian probability difference (IACM_MRFEBPD) is proposed in this paper. METHODS: First, the Markov random field (MRF) is constructed on the computed tomography (CT) images, then the MRF energy is calculated. The MRF energy is used to construct the region term. It can not only enhance the contrast between pulmonary nodule and the background region, but also solve the problem of intensity inhomogeneity using local spatial correlation information between neighboring pixels in the image. Second, the Gaussian mixture model is used to establish the probability model of the image, and the model parameters are estimated by the expectation maximization (EM) algorithm. So the Bayesian posterior probability difference of each pixel can be calculated. The probability difference is used to construct the boundary detection term, which is 0 at the boundary. Therefore, the blurred boundary problem can be solved. Finally, under the framework of the level set, the integrated active contour model is constructed. RESULTS: To verify the effectiveness of the proposed method, the public data of the lung image database consortium and image database resource initiative (LIDC-IDRI) and the clinical data of the Affiliated Jiangmen Hospital of Sun Yat-sen University are used to perform experiments, and the intersection over union (IOU) score is used to evaluate the segmentation methods. Compared with other methods, the proposed method achieves the best results with the highest average IOU of 0.7444, 0.7503, and 0.7450 for LIDC-IDRI test set, clinical test set, and all test sets, respectively. CONCLUSIONS: The experiment results show that the proposed method can segment various small GGO pulmonary nodules more accurately and robustly, which is helpful for the accurate evaluation of medical imaging.

Endoscopic-Assisted Repair of Spontaneous Temporomandibular Joint Herniation Through a Transcanal Approach.

OBJECTIVE: To report of the presentation, diagnosis, and management of a spontaneous temporomandibular joint (TMJ) herniation. PATIENTS: A 69-year-old man with a spontaneous TMJ herniation. INTERVENTIONS: Diagnostic evaluation and surgical approaches. MAIN OUTCOME MEASURES: Imaging, and medical and surgical treatment outcomes. RESULTS: At 14 months follow-up, the patient reported improved tinnitus and on examination there was no evidence of a hypertrophic scar or canal stenosis, no recurrence of TMJ herniation, no signs of otorrhea, otalgia; and with normal TMJ function. CONCLUSIONS: The advantages of repairing spontaneous TMJ herniation through a transcanal approach using oto-endoscopy include a high definition video of surgical field, minimal invasiveness, and good postoperative cosmetic outcome.

MicroRNA-let-7e regulates the progression and development of allergic rhinitis by targeting suppressor of cytokine signaling 4 and activating Janus kinase 1/signal transducer and activator of transcription 3 pathway.

The present study aimed to explore the microRNA-let-7e (miR-let-7e) expression in allergic rhinitis (AR), and to investigate the underlying molecular mechanisms. miR-let-7e expression in the nasal mucosa of mice and patients with AR were detected. The expression levels of three inflammatory factors, including histamine, immunoglobulin E and tumor necrosis factor-α (TNF-α), in the blood of AR mice and in interleukin (IL)-13-stimulated nasal epithelial cells (NECs) were also measured. Furthermore, the target gene of miR-let-7e was predicted and validated using a luciferase reporter assay. The expression levels of Janus kinase 1 (JAK1) and signal transducer and activator of transcription 3 (STAT3) were detected. The results demonstrated that miR-let-7e was downregulated in patients and mice with AR compared with the controls. In addition, the expression levels of inflammatory factors were higher in the blood of mice with AR compared with the control group, while miR-let-7e overexpression inhibited these levels in AR mice and IL-13-stimulated NECs. Furthermore, suppressor of cytokine signaling 4 (SOCS4) was revealed as a potential target gene of miR-let-7e and was negatively regulated by miR-let-7e. Overexpression of SOCS4 abrogated the anti-inflammatory activity of miR-let-7e overexpression. Finally, miR-let-7e overexpression activated the JAK1/STAT3 signaling pathway. In conclusion, miR-let-7e may serve an important role in the progression and development of AR, while overexpression of miR-let-7e had an anti-inflammatory effect by targeting SOCS4, which may be achieved by activation of the JAK1/STAT3 signaling pathway.

CD47 is a Potential Target for the Treatment of Laryngeal Squamous Cell Carcinoma.

BACKGROUND/AIMS: This study aims to investigate the effect of CD47 on the development of laryngeal squamous cell carcinoma (LSCC) and the therapeutic potential of monoclonal antibody against CD47 and its ligand SIRPα in the treatment of LSCC. METHODS: We firstly detected the expressions of CD47 mRNA and protein in LSCC and para-carcinoma tissues, introduced the most efficient CD47siRNA sequence into LSCC cells by lentiviral transfection and employed three monoclonal antibodies to evaluate their anti-LSCC effects in vitro and in vivo. RESULTS: We observed that the mRNA and protein expressions of CD47 in LSCC tissue had significant increase in LSCC tissues compared with those in para-carcinoma tissue (p < 0.05). After the treatments of three monoclonal antibodies, i.e. anti-SIRPα, anti-CD47 BRIC126, anti-CD47 B6H12.2, in rats transfected with Hep-2 cell, it has been showed that the mRNA and protein expressions of CD47 in LSCC tissue decreased, macrophage efficiency was promoted when anti-SIRPα and/or CD47siRNA were used, the amounts, viabilities and expressions of CD47 protein of tumor cell were significantly inhibited. Additionally, combined use of CD47siRNA and anti-SIRPα seemed more efficient than solo use of CD47siRNA/anti-SIRPα. CONCLUSION: The results suggested a critical role of CD47 in LSCC development and the promising treatment of antiCD47/SIRPα and/or CD47siRNA in LSCC.

Long noncoding RNA PVT1 promotes cervical cancer progression through epigenetically silencing miR-200b.

Long noncoding RNA PVT1 has been reported to be dysregulated and play vital roles in a variety of cancers. However, the functions and molecular mechanisms of PVT1 in cervical cancer remain unclear. The objective of this study was to investigate the expression, clinical significance, biological roles, and underlying functional mechanisms of PVT1 in cervical cancer. Our results revealed that PVT1 is upregulated in cervical cancer tissues. Enhanced expression of PVT1 is associated with larger tumor size, advanced International Federation of Gynecology and Obstetrics stage, and poor prognosis of cervical cancer patients. Using gain-of-function and loss-of-function approaches, we demonstrated that overexpression of PVT1 promotes cervical cancer cells proliferation, cell cycle progression and migration, and depletion of PVT1 inhibits cervical cancer cell proliferation, cell cycle progression, and migration. Mechanistically, we verified that PVT1 binds to EZH2, recruits EZH2 to the miR-200b promoter, increases histone H3K27 trimethylation level on the miR-200b promoter, and inhibits miR-200b expression. Furthermore, the effects of PVT1 on cervical cell proliferation and migration depend upon silencing of miR-200b. Taken together, our findings confirmed that PVT1 functions as an oncogene in cervical cancer and indicated that PVT1 is not only an important prognostic marker, but also a potential therapy target for cervical cancer.

Thymic stromal lymphopoietin polymorphisms and allergic rhinitis risk: a systematic review and meta-analysis with 6351 cases and 11472 controls.

Previous studies suggested a close association between the thymic stromal lymphopoietin (TSLP) genetic variants and allergic diseases. Here, we explored the correlation between the TSLP polymorphisms and allergic rhinitis susceptibility using meta-analysis. We searched PubMed, Ovid, Cochrane libraries, CNKI, Wanfang, and CQVIP databases until Apr 19, 2015. Quality assessment was conducted for each article according to the Strengthening the Reporting of Genetic Association studies (STREGA). The pooled measure was calculated as the inverse variance-weighted mean of the logarithm of the OR with 95% CI to assess the strength of association between TSLP polymorphisms and the risk of allergic rhinitis. Five case-control studies with 6351 cases and 11472 controls were included in this study. TSLP rs1898671 polymorphism was significantly associated with an increased risk of allergic rhinitis (OR=1.13; 95% CI, 1.07-1.20; P<0.0001). In the subgroup analysis by race, TSLP rs1898671 polymorphism was significantly associated with an increased risk of allergic rhinitis in Caucasian (OR=1.14; 95% CI, 1.08-1.21; P<0.00001). In the subgroup analysis by age group, adult individuals with TSLP rs1898671 polymorphism showed increased risk of allergic rhinitis (OR=1.13; 95% CI, 1.07-1.21; P<0.0001). Because only one study investigated the association between other SNPs in TSLP and allergic rhinitis risk, the meta-analyses were not performed. In summary, we demonstrated that TSLP rs1898671 polymorphism was associated with a higher risk for allergic rhinitis.