m6A Modification Mediates Exosomal LINC00657 to Trigger Breast Cancer Progression Via Inducing Macrophage M2 Polarization.

BACKGROUND: Exosome-mediated transfer of long noncoding RNAs (lncRNAs) is critical for the cell-cell crosstalk in the tumor microenvironment. Nevertheless, the role of breast cancer (BC) cell-derived exosomal lncRNA in macrophage polarization during the development of BC remains unclear. METHODS: The key lncRNAs carried by BC cell-derived exosomes were identified by RNA-seq. CCK-8, flow cytometry, and transwell assay were conducted to analyze the role of LINC00657 in BC cells. In addition, immunofluorescence, qRT-PCR, western blot, and MeRIP-PCR were used to evaluate the function and underlying mechanism of exosomal LINC00657 in macrophage polarization. RESULTS: LINC00657 was distinctly upregulated in BC-derived exosomes and it was associated with increased m6A methylation modification levels. In addition, the depletion of LINC00657 significantly diminished the proliferative activity, migration and invasion potential of BC cells, and it also accelerated cell apoptosis. Exosomal LINC00657 from MDA-MB-231 cells could facilitate macrophage M2 activation, thus stimulating BC development in turn. Furthermore, LINC00657 activated the TGF-ß signaling pathway by sequestering miR-92b-3p in macrophages. CONCLUSION: Exosomal LINC00657 secreted by BC cells could induce macrophage M2 activation, and these macrophages preferentially contributed to the malignant phenotype of BC cells. These results improve our understanding of BC and suggest a new therapeutic strategy for patients with BC.

Deep Learning CT Image Restoration using System Blur Models.

Restoration of images contaminated by blur is an important processing tool across modalities including computed tomography where the blur induced by various system factors can be complex with dependencies on acquisition and reconstruction protocol, and even be patient-dependent. In many cases, such a blur can be modeled and predicted with high accuracy providing an important input to a classical deconvolution approach. While traditional deblurring methods tend to be highly noise magnifying, deep learning approaches have the potential to improve upon classic performance limits. However, most network architectures base their restoration on data inputs alone without knowledge of the system blur. In this work, we explore a deep learning approach that takes both image inputs as well as information that characterizes the system blur to combine modeling and deep learning approaches. We apply the approach to CT image restoration and compare with an image-only deep learning approach. We find that inclusion of the system blur model improves deblurring performance - suggesting the potential power of the combined modeling and deep learning technique.

An autophagy-related long non-coding RNA prognostic model and related immune research for female breast cancer.

Introduction: Breast cancer (BRCA) is the most common malignancy among women worldwide. It was widely accepted that autophagy and the tumor immune microenvironment play an important role in the biological process of BRCA. Long non-coding RNAs (lncRNAs), as vital regulatory molecules, are involved in the occurrence and development of BRCA. The aim of this study was to assess the prognosis of BRCA by constructing an autophagy-related lncRNA (ARlncRNA) prognostic model and to provide individualized guidance for the treatment of BRCA. Methods: The clinical data and transcriptome data of patients with BRCA were acquired from the Cancer Genome Atlas database (TCGA), and autophagy-related genes were obtained from the human autophagy database (HADb). ARlncRNAs were identified by conducting co­expression analysis. Univariate and multivariate Cox regression analysis were performed to construct an ARlncRNA prognostic model. The prognostic model was evaluated by Kaplan-Meier survival analysis, plotting risk curve, Independent prognostic analysis, clinical correlation analysis and plotting ROC curves. Finally, the tumor immune microenvironment of the prognostic model was studied. Results: 10 ARlncRNAs(AC090912.1, LINC01871, AL358472.3, AL122010.1, SEMA3B-AS1, BAIAP2-DT, MAPT-AS1, DNAH10OS, AC015819.1, AC090198.1) were included in the model. Kaplan-Meier survival analysis of the prognostic model showed that the overall survival(OS) of the low-risk group was significantly better than that of the high-risk group (p< 0.001). Multivariate Cox regression analyses suggested that the prognostic model was an independent prognostic factor for BRCA (HR = 1.788, CI = 1.534-2.084, p < 0.001). ROCs of 1-, 3- and 5-year survival revealed that the AUC values of the prognostic model were all > 0.7, with values of 0.779, 0.746, and 0.731, respectively. In addition, Gene Set Enrichment Analysis (GSEA) suggested that several tumor-related pathways were enriched in the high-risk group, while several immune­related pathways were enriched in the low-risk group. Patients in the low-risk group had higher immune scores and their immune cells and immune pathways were more active. Patients in the low-risk group had higher PD-1 and CTLA-4 levels and received more benefits from immune checkpoint inhibitors (ICIs) therapy. Discussion: The ARlncRNA prognostic model showed good performance in predicting the prognosis of patients with BRCA and is of great significance to guide the individualized treatment of these patients.

[Comparison of two types of T-shaped coronectomy applied in extraction of impacted mandibular third molars].

PURPOSE: To compare the clinical efficiency of two types of T-shaped coronectomy applied in extraction of impacted mandibular third molars. METHODS：One hundred and twenty patients meeting with the criteria were randomly divided into 2 groups. Two types of T-shaped coronectomy were applied in extraction of impacted mandibular third molars. Indexes including operation time, intraoperative anxiety, postoperative pain and limitation of mouth opening were recorded and analyzed with SPSS 22.0 software package. RESULTS: Patients with transverse method experienced more time in operation [(17.41±3.72) vs (15.22±2.53) min], with less intraoperative anxiety (P<0.05). There was no significant difference in postoperative pain and limitation of mouth opening(P>0.05) between two methods. CONCLUSIONS: Transverse T-shaped method can alleviate intraoperative anxiety, while longitudinal method is more conducive to shortening operation time.

Adverse Events at Baseline in a Chinese General Hospital: A Pilot Study of the Global Trigger Tool.

OBJECTIVE: To investigate adverse events (AEs) at baseline in a Chinese general hospital using the Institute for Healthcare Improvement (IHI) Global Trigger Tool (GTT) and discuss the feasibility of this tool to detect AEs in China. METHODS: A total of 10 inpatient records from the hospital were sampled randomly half a month in 2014. The records were reviewed to identify AEs according to the second edition of the IHI GTT for measuring AEs. Triggers and AEs were analyzed using Microsoft Excel 2007. Statistical analyses were performed using IBM SPSS software, version 19.0. RESULTS: A review of 240 patient records identified 51.0% (26/51) triggers in the worksheet, and 33.3% (17/51) were associated with AEs. A total of 70 AEs were identified in 54 patients, including 65.7% (46/70) category E AEs, which represent temporary harm requiring intervention, and 34.3% (24/70) category F AEs, which represent temporary harm requiring initial or prolonged hospitalization. The average rate of AEs per 1000 patient-days was 32.1 ± 20.9. The average rate of AEs per 100 admissions was 29.2 ± 16.1. The average rate of admissions with an AE was 22.5% ± 13.9%. The most significant characteristic of patients with AEs was longer hospital stay. CONCLUSIONS: More than one fifth of adult inpatients in the current study experienced at least one AE resulting in temporary harm, most commonly caused by surgical operations and medication. With some modifications, the IHI GTT is a feasible and effective tool for detecting the overall status of AEs in a Chinese hospital.

PtFeCu Concave Octahedron Nanocrystals as Electrocatalysts for the Methanol Oxidation Reaction.

In this work, PtFeCu concave octahedron nanocrystals were synthesized by a one-pot solvothermal method. The PtFeCu concave octahedron nanocrystals were applied as an electrocatalyst for the electrooxidation of methanol and have shown high electrocatalytic activity and long-term durability. The electrocatalysis performances of the PtFeCu concave octahedron nanocrystals are better than those of the PtFe and PtCu nanocrystals and commercial Pt/C. The synergistic effect of the Pt, Fe, and Cu metals and the unique concave octahedron morphology may be the main cause of the superior electrocatalytic performances of the PtFeCu nanocrystals. The PtFeCu concave octahedron nanocrystals have a potential application as an anode catalyst for direct methanol fuel cells.

[Diagonal root separation method for extracting impacted double-root mandibular third molars].

Double-root mandibular third molars are the common types of mandibular third molars that are prone to impac-tion. Based on the summary of clinical cases and experience, the commonly used crown-root separation technique is improved as diagonal root separation technique that divides the roots by the line connecting the distal axis angle to the root furcation. This new method improves the efficiency of the operation and reduces surgical trauma. This paper details the surgical method, minimally invasive mechanics, and key points of this technique, compares the technique with the crown-root separation tech-nique, and discusses their joint applications.

Predictors for malignancy risk in subcentimeter thyroid nodules categorized as atypia/follicular lesion of undetermined significance by fine needle aspiration.

Little work has been done on the prediction of malignancy risk in patients with subcentimeter thyroid nodule (TN) categorized as atypia/follicular lesion of undetermined significance (AUS/FLUS). We performed a retrospective analysis on the medical records of subcentimeter TNs whose initial fine-needle aspiration (FNA) diagnosis was AUS/FLUS at our center between November 2013 and August 2018. Univariate analysis and multivariate logistic regression analysis were used to select independent factors associated with malignancy. Of the 324 patients who were classified as AUS/FLUS on initial FNA, 153 patients underwent surgical procedures and showed an associated malignancy rate of 45.10% (69/153). The malignancy rates in AUS/FLUS settings with and without repeat FNA were 38.30% (18/47), and 48.11% (51/106), respectively, p = 0.260. Multivariate logistic regression analysis revealed that age < 55 (OR 3.015, 95% CI 1.196-7.596), microcalcification (OR 9.162, 95% CI 3.332-25.916) and taller than wide shape (OR 10.785, 95% CI 4.108-28.319) were three independent predictors for malignancy. The malignancy rates in the patients with one or none of predictor and patients with two or three above predictors were 20.5% (17/83) and 74.3% (52/70), respectively, p < 0.001 (OR 11.216, 95% CI 5.266-23.885). In conclusion, our study showed that for subcentimeter TNs with AUS/FLUS category, patient's age, taller than wide shape and microcalcification were three independent predictive factors for malignancy, which was helpful for decision-making of surgery or observation in such patient population.