The effects of exosomes originating from different cell sources on the differentiation of bone marrow mesenchymal stem cells into schwann cells.

BACKGROUND: Bone marrow mesenchymal stem cells (BMSCs) can differentiate into Schwann cells (SCs) during peripheral nerve injury; in our previous research, we showed that SC-derived exosomes (SC-exos) played a direct induction role while fibroblast-derived exosomes (Fb-exos) had no obvious induction role. The induction role of neural stem cell (NSC)-derived exosomes (NSC-exos) has also been widely confirmed. However, no studies have compared the induction effects of these three types of cells at the same time. Therefore, by investigating the effect of these three cell-derived exosomes upon the induction of BMSCs to differentiate into SCs, this study explored the role of different exosomes in promoting the differentiation of stem cells into SCs cells, and conducted a comparison between the two groups by RNA sequencing to further narrow the range of target genes and related gene pathways in order to study their related mechanisms. MATERIALS AND METHODS: We extracted exosomes from SCs, fibroblasts (Fb) and neural stem cells (NSC) and then investigated the ability of these exosomes to induce differentiation into BMSCs under different culture conditions. The expression levels of key proteins and gene markers were detected in induced cells by fluorescence immunoassays, western blotting and polymerase chain reaction (PCR); then, we statistically compared the relative induction effects under different conditions. Finally, we analyzed the three types of exosomes by RNA-seq to predict target genes and related gene pathways. RESULTS: BMSCs were cultured by three media: conventional (no induction), pre-induction or pre-induction + original induction medium (ODM) with exosomes of the same cell origin under different culture conditions. When adding the three different types of exosomes separately, the overall induction of BMSCs to differentiate into SCs was significantly increased (P < 0.05). The induction ability was ranked as follows: pre-induction + ODM + exosome group > pre-induction + exosome group > non-induction + exosome group. Using exosomes from different cell sources under the same culture conditions, we observed the following trends under the three culture conditions: RSC96-exos group ≥ NSC-exos group > Fb-exos group. The overall ability to induce BMSCs into SCs was significantly greater in the RSC96-exos group and the NSC-exos group. Although there was no significant difference in induction efficiency when comparing these two groups, the overall induction ability of the RSC96-exos group was slightly higher than that of the NSC-exos group. By combining the differentiation induction results with the RNA-seq data, the three types of exosomes were divided into three comparative groups: RSC vs. NSC, RSC vs. Fb and NSC vs. Fb. We identified 203 differentially expressed mRNA target genes in these three groups. Two differentially expressed genes were upregulated simultaneously, namely riboflavin kinase (RFK, ENSRNOG00000022273) and ribosomal RNA processing 36 (Rrp36, ENSRNOG00000017836). We did not identify any co-upregulated target genes for the miRNAs, but did identify one target gene of the lncRNAs, namely ENSRNOG00000065005. Analysis identified 90 GO terms related to nerves and axons in the mRNAs; in addition, KEGG enrichment and GASA analysis identified 13 common differential expression pathways in the three groups. CONCLUSIONS: Our analysis found that pre-induction + ODM + RSC96/NSC-exos culture conditions were most conducive with regards to induction and differentiation. RSC96-exos and NSC-exos exhibited significantly greater differentiation efficiency of BMSCs into SCs. Although there was no statistical difference, the data indicated a trend for RSC96-exos to be advantageous We identified 203 differentially expressed mRNAs between the three groups and two differentially expressed target mRNAs were upregulated, namely riboflavin kinase (RFK, ENSRNOG00000022273) and ribosomal RNA processing 36 (Rrp36, ENSRNOG00000017836). 90 GO terms were related to nerves and axons. Finally, we identified 13 common differentially expressed pathways across our three types of exosomes. It is hoped that the efficiency of BMSCs induction differentiation into SCs can be improved, bringing hope to patients and more options for clinical treatment.

A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics.

OBJECTIVES: This study aims to develop and validate a virtual biopsy model to predict microsatellite instability (MSI) status in preoperative gastric cancer (GC) patients based on clinical information and the radiomics of deep learning algorithms. METHODS: A total of 223 GC patients with MSI status detected by postoperative immunohistochemical staining (IHC) were retrospectively recruited and randomly assigned to the training (n = 167) and testing (n = 56) sets in a 3:1 ratio. In the training set, 982 high-throughput radiomic features were extracted from preoperative abdominal dynamic contrast-enhanced CT (CECT) and screened. According to the deep learning multilayer perceptron (MLP), 15 optimal features were optimized to establish the radiomic feature score (Rad-score), and LASSO regression was used to screen out clinically independent predictors. Based on logistic regression, the Rad-score and clinically independent predictors were integrated to build the clinical radiomics model and visualized as a nomogram and independently verified in the testing set. The performance and clinical applicability of hybrid model in identifying MSI status were evaluated by the area under the receiver operating characteristic (AUC) curve, calibration curve, and decision curve (DCA). RESULTS: The AUCs of the clinical image model in training set and testing set were 0.883 [95% CI: 0.822-0.945] and 0.802 [95% CI: 0.666-0.937], respectively. This hybrid model showed good consistency in the calibration curve and clinical applicability in the DCA curve, respectively. CONCLUSIONS: Using preoperative imaging and clinical information, we developed a deep-learning-based radiomics model for the non-invasive evaluation of MSI in GC patients. This model maybe can potentially support clinical treatment decision making for GC patients.

Osteoprotegerin deficiency aggravates methionine-choline-deficient diet-induced nonalcoholic steatohepatitis in mice.

Clinical studies have shown that osteoprotegerin (OPG) is reduced in patients with nonalcoholic steatohepatitis (NASH), but the underlying mechanisms are unclear. The current study focuses on the role of OPG in the NASH pathogenesis. OPG knockout mice and wild-type control mice fed a methionine choline-deficient diet (MCD) for 4 weeks resulted in an animal model of NASH. Measurement of triglycerides (TG) in serum and liver to assess steatosis. Hematoxylin eosin (HE), Sirius Red and Masson staining were used to assess the liver damage. Transcriptome sequencing analysis, qPCR and western blot were to analyze changes in lipid metabolism and inflammation-related indicators in the liver. In vivo knockout of OPG resulted in a reduction of TG levels in the liver and a significant increase in serum ALT and AST. The expression of inflammatory factors and fibrosis genes was significantly upregulated in the livers of OPG knockout mice. Transcriptome sequencing analysis showed that OPG knockout significantly enhanced MCD diet-induced activation of the mitogen-activated protein kinase (MAPK) signaling pathway. Mechanistically, OPG may inhibit MAPK signaling pathway activity by upregulating the expression of dual specificity phosphatase 14 (DUSP14), thereby reducing inflammatory injury. OPG could regulate the activity of the MAPK signaling pathway via DUSP14, thus regulating the expression of some inflammatory factors in NASH, it may be a promising target for the treatment of NASH.

Quantitative Radiological Features and Deep Learning for the Non-Invasive Evaluation of Programmed Death Ligand 1 Expression Levels in Gastric Cancer Patients: A Digital Biopsy Study.

RATIONALE AND OBJECTIVES: Programmed Death-Ligand 1 (PD-L1) is an important biomarker for patient selection of immunotherapy in gastric cancer (GC). This study aimed to construct and validate a non-invasive virtual biopsy system based on radiological features and clinical factors to predict the PD-L1 expression level in GC. MATERIALS AND METHODS: 217 patients who received gastrectomy for GC were consecutively enrolled in this study, with 157 patients from center 1 as the training cohort and 60 patients from center 2 as the external validation cohort. 1205 quantitative radiomics features were extracted from preprocessed pre-operative contrast-enhanced CT images of enrolled patients. A radiological signature was computed using a regression random forest model and was integrated with clinical factors in a multilayer perceptron. The performance of the digital biopsy system was evaluated by the receiver operating characteristic (ROC) curve and calibration curve in both the training and validation cohort. RESULTS: 15 features were selected for the construction of radiological signature, which was significantly associated with expression levels of PD-L1 in both the training cohort (p<0.0001) and the external validation cohort (p<0.01). The hybrid deep learning model integrating the radiological signature and clinical factor could accurately distinguish GCs with high PD-L1 expression levels in both the training cohort (AUC = 0.806, 95%CI: 0.736-0.875) and the validation cohort (AUC = 0.784, 95%CI: 0.668-0.901). CONCLUSIONS: Our results indicate that the combination of deep learning and quantitative radiological features are potential approaches for the non-invasive evaluation of PD-L1 expression levels in GC. The digital biopsy system could provide valuable suggestive information for clinical decision-making of immunotherapy in GC.

CircRNA_103948 inhibits autophagy in colorectal cancer in a ceRNA manner.

Circular RNA (circRNA) is implicated in many types of cancer; however, the expression and role of circRNAs in colorectal cancer (CRC) remains poorly understood. In this study, a circRNA microarray assay was performed to detect abnormally expressed circRNAs in CRC, and tissue arrays were used to determine the prognosis for CRC patients. Cell counting kit-8, clone formation, wound healing, and transwell assays were used to evaluate cell functions in vitro, and a mouse subcutaneous tumor model was designed for in vivo analysis. Autophagy was observed using confocal laser scanning and transmission electron microscopy. The expression of circRNA, miRNA, and mRNA was detected using qPCR; western blot, RNA pull-down assay, RNA immunoprecipitation, and dual luciferase assessment were applied for mechanistic studies. We found that circRNA_103948 expression is upregulated in CRC tissues, compared with adjacent normal tissues, and associated with poor prognosis. Knockdown of circRNA_103948 suppressed CRC both in vitro and in vivo. Mechanistically, circRNA_103948 could directly bind to miR-1236-3p and relieve suppression of the target TPT1. Furthermore, circRNA_103948 inhibited autophagy of CRC cells. Taken together, circRNA_103948 knockdown inhibited CRC cell growth by targeting miR-1236-3p/TPT1 axis-mediated autophagy. Thus, the circRNA_103948/miR-1236-3p/TPT1 axis affects CRC progression via modulation of autophagy.

Comparative analysis of clonal evolution among patients with right- and left-sided colon and rectal cancer.

Tumor multiregion sequencing reveals intratumor heterogeneity (ITH) and clonal evolution playing a key role in tumor progression and metastases. Large-scale high-depth multiregional sequencing of colorectal cancer, comparative analysis among patients with right-sided colon cancer (RCC), left-sided colon cancer (LCC), and rectal cancer (RC), as well as the study of lymph node metastasis (LN) with extranodal tumor deposits (ENTDs) from evolutionary perspective remain weakly explored. Here, we recruited 68 patients with RCC (18), LCC (20), and RC (30). We performed high-depth whole-exome sequencing of 206 tumor regions including 176 primary tumors, 19 LN, and 11 ENTD samples. Our results showed ITH with a Darwinian pattern of evolution and the evolution pattern of LCC and RC was more complex and divergent than RCC. Genetic and evolutionary evidences found that both LN and ENTD originated from different clones. Moreover, ENTD was a distinct entity from LN and evolved later.

Long-term outcomes of juvenile-onset recurrent respiratory papillomatosis.

OBJECTIVE: To investigate the adult outcomes of children with juvenile-onset recurrent respiratory papillomatosis via long-term follow-up. STUDY DESIGN: Retrospective study. SETTING: Beijing Tongren Hospital. PARTICIPANTS: The study includes 121 patients with recurrent respiratory papillomatosis. MAIN OUTCOME AND MEASURE: We followed up respiratory papillomatosis patients aged least 14 years and analysed their clinical features based on recurrence-free time. RESULTS: In total, 112 (92.6%) patients underwent three or more operations. The age at initial operation was 4.3 ± 2.9 years; 47.9% (58/121) experienced recurrence and underwent surgical treatment after age 14. At follow-up, 5% (6/121) had died, 41.3% (50/121) had been recurrence-free for 5 years or more (cured group), and 53.7% (65/121) had recurrence in the past 5 years (recurrent group). The age at the last operation was 9.2 ± 4.6 years in the cured group. The overall operation frequency was higher in the recurrence group than in the cured group (17.8 ± 11.9 vs 8.7 ± 6.5). Additionally, the human papillomavirus (HPV) infection and tracheal dissemination rates were higher in the recurrence group than in the cured group (90.8% [59/65] vs 54.0% [27/50] and 26.2% [17/65] vs 10% [5/50], respectively). CONCLUSION: The mortality rate for juvenile-onset recurrent respiratory papillomatosis is 5%. Approximately 50% of children experience recurrence and require repeated operations in adulthood. No significant difference in sex, age at initial operation or adjuvant therapy between the cured and recurrent groups was observed; however, significant between-group differences were found in overall operation frequency, aggressive disease, tracheal dissemination of papilloma, and HPV infection.

Hypothalamic BMP9 suppresses glucose production by central PI3K/Akt/mTOR pathway.

Bone morphogenetic proteins (BMPs) are secreted ligands that belong to the transforming growth factor-ß (TGF-ß) superfamily. BMP7 has been reported to play a role in reversing obesity and regulating appetite in the hypothalamus. Whether BMP9 plays a central role in regulating glucose metabolism and insulin sensitivity remains unclear. Here, we investigated the impact of central BMP9 signaling and possible route of transmission. We performed intracerebroventricular (ICV) surgery and injected adenovirus expressing BMP9 (Ad-BMP9) into the cerebral ventricle of mice. Metabolic analysis, hyperinsulinemic-euglycemic clamp test, and analysis of phosphatidylinositol 3,4,5-trisphosphate (PIP3) formation were then performed. Real-time PCR and Western blotting were performed to detect gene expression and potential pathways involved. We found that hypothalamic BMP9 expression was downregulated in obese and insulin-resistant mice. Overexpression of BMP9 in the mediobasal hypothalamus reduced food intake, body weight, and blood glucose level, and elevated the energy expenditure in high-fat diet (HFD)-fed mice. Importantly, central treatment with BMP9 improved hepatic insulin resistance (IR) and inhibited hepatic glucose production in HFD-fed mice. ICV BMP9-induced increase in hepatic insulin sensitivity and related metabolic effects were blocked by ICV injection of rapamycin, an inhibitor of mammalian target of rapamycin (mTOR) signaling. In addition, ICV BMP9 promoted the ability of insulin to activate the insulin receptor/phosphoinositide 3-kinase (PI3K)/Akt pathway in the hypothalamus. Thus, this study provides insights into the potential mechanism by which central BMP9 ameliorates hepatic glucose metabolism and IR via activating the mTOR/PI3K/Akt pathway in the hypothalamus.

A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.

BACKGROUND: Preoperative diagnoses of metastatic lymph nodes (LNs) by the most advanced deep learning technology of Faster Region-based Convolutional Neural Network (Faster R-CNN) have not yet been reported. MATERIALS AND METHODS: In total, 545 patients with pathologically confirmed rectal cancer between January 2016 and March 2019 were included and were randomly allocated with a split ratio of 2:1 to the training and validation sets, respectively. The MRI images for metastatic LNs were evaluated by Faster R-CNN. Multivariate regression analyses were used to develop the predictive models. Faster R-CNN nomograms were constructed based on the multivariate analyses in the training sets and were validated in the validation sets. RESULTS: The Faster R-CNN nomogram for predicting metastatic LN status contained predictors of age, metastatic LNs by Faster R-CNN and differentiation degrees of tumors, with areas under the curves (AUCs) of 0.862 (95% CI: 0.816-0.909) and 0.920 (95% CI: 0.876-0.964) in the training and validation sets, respectively. The Faster R-CNN nomogram for predicting LN metastasis degree contained predictors of metastatic LNs by Faster R-CNN and differentiation degrees of tumors, with AUCs of 0.859 (95% CI: 0.804-0.913) and 0.886 (95% CI: 0.822-0.950) in the training and validation sets, respectively. Calibration plots and decision curve analyses demonstrated good calibrations and clinical utilities. The two nomograms were used jointly as a kit for predicting metastatic LNs. CONCLUSION: The Faster R-CNN nomogram kit exhibits excellent performance in discrimination, calibration, and clinical utility and is convenient and reliable for predicting metastatic LNs preoperatively. CLINICAL TRIAL REGISTRATION: ChiCTR-DDD-17013842.

Establishment and Applicability of a Diagnostic System for Advanced Gastric Cancer T Staging Based on a Faster Region-Based Convolutional Neural Network.

Background: The accurate prediction of the tumor infiltration depth in the gastric wall based on enhanced CT images of gastric cancer is crucial for screening gastric cancer diseases and formulating treatment plans. Convolutional neural networks perform well in image segmentation. In this study, a convolutional neural network was used to construct a framework for automatic tumor recognition based on enhanced CT images of gastric cancer for the identification of lesion areas and the analysis and prediction of T staging of gastric cancer. Methods: Enhanced CT venous phase images of 225 patients with advanced gastric cancer from January 2017 to June 2018 were retrospectively collected. Ftable LabelImg software was used to identify the cancerous areas consistent with the postoperative pathological T stage. The training set images were enhanced to train the Faster RCNN detection model. Finally, the accuracy, specificity, recall rate, F1 index, ROC curve, and AUC were used to quantify the classification performance of T staging on this system. Results: The AUC of the Faster RCNN operating system was 0.93, and the recognition accuracies for T2, T3, and T4 were 90, 93, and 95%, respectively. The time required to automatically recognize a single image was 0.2 s, while the interpretation time of an imaging expert was ~10 s. Conclusion: In enhanced CT images of gastric cancer before treatment, the application of Faster RCNN to diagnosis the T stage of gastric cancer has high accuracy and feasibility.

Circulating complement-1q tumor necrosis factor-α-related protein isoform 5 levels are low in type 2 diabetes patients and reduced by dapagliflozin.

AIMS/INTRODUCTION: As a member of the tumor necrosis factor-α-related protein family, complement-1q tumor necrosis factor-α-related protein isoform 5 (CTRP5) has been found to be associated with obesity and insulin resistance (IR). Previous studies in humans and animals have reported contradictory results related to the association between CTRP5 and IR. The purpose of the present study was to explore the relationship between CTRP5 and IR through a cross-sectional study and drug intervention study of type 2 diabetes patients. MATERIALS AND METHODS: A cross-sectional study was carried out with 118 newly diagnosed patients with type 2 diabetes and 116 healthy adults. In an interventional study, 78 individuals with newly diagnosed type 2 diabetes received sodium-glucose cotransporter 2 inhibitor (dapagliflozin) treatment for 3 months. Circulating CTRP5 concentrations were measured by enzyme-linked immunosorbent assay. RESULTS: Serum CTRP5 concentrations were markedly reduced in patients with type 2 diabetes when compared with those of healthy individuals (P < 0.01). When considering the study population as a whole, individuals with IR (homeostasis model of assessment of IR ≥2.78) had lower CTRP5 concentrations than the individuals without IR (homeostasis model of assessment of IR <2.78; P < 0.01). Serum CTRP5 negatively correlated with age, body mass index, waist-to-hip ratio, Systolic blood pressure, triglyceride, total cholesterol, glycated hemoglobin, fasting blood glucose, 2-h blood glucose, fasting insulin and homeostasis model of assessment of IR. After 12 weeks of sodium-glucose cotransporter 2 inhibitor treatment, serum CTRP5 levels in type 2 diabetes patients were significantly reduced accompanied with ameliorated glycometabolism and IR compared with before treatment (P < 0.01). CONCLUSIONS: CTRP5 is likely a marker for type 2 diabetes in humans.

Accuracy of endoscopic ultrasound in rectal cancer and its use in transanal endoscopic microsurgery.

Introduction: This study evaluated the accuracy of endoscopic ultrasound (EUS) for preoperative staging of rectal cancer and guiding the treatment of transanal endoscopic microsurgery (TEM) in early rectal cancer.Material and methods: One-hundred-twenty-six patients with rectal cancer were staged preoperatively using EUS and the results were compared with postoperative histopathology results. Radical surgeries, including low anterior resection (LAR), abdominal-perineal resection (APR) and Hartmann surgeries, were performed on patients with advanced rectal cancers, and TEM was performed on patients with stage T1. The Kappa statistic was used to determine agreement between EUS-based staging and pathology staging.Results: The overall accuracies of EUS for T and N stage were 90.8% (Kappa = 0.709) and 76.7% (Kappa = 0.419), respectively. The accuracies of EUS for uT1, uT2, uT3, and uT4 stages were 96.8%, 92.1%, 84.1%, and 88.9%, respectively, and for uN0, uN1, and uN2 stages, they were 71.9%, 64.9%, and 93.0%, respectively. Twelve patients underwent TEM and received confirmed pathology results of early rectal cancer. After postoperative follow-up, there were no local recurrences or distant metastases.Conclusion: EUS is a good and comparable technique for postoperative staging of rectal cancer. Moreover, EUS is used as indicator for preoperative staging and tumor assessment strategy when considering TEM.

Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images.

BACKGROUND: High-resolution MRI is regarded as the best method to evaluate whether there is an involved circumferential resection margin in rectal cancer. OBJECTIVE: We explored the application of the faster region-based convolutional neural network to identify positive circumferential resection margins in high-resolution MRI images. DESIGN: This was a retrospective study. SETTINGS: The study conducted at a single surgical unit of a public university hospital. PATIENTS: We studied 240 patients with rectal cancer in the Affiliated Hospital of Qingdao University from July 2016 to August 2018, who were determined to have a positive circumferential resection margin and who had received a high-resolution MRI. All posttreatment cases were excluded from this study. MAIN OUTCOME MEASURES: The faster region-based convolutional neural network was trained by 12,258 transverse relaxation-weighted (T2-weighted imaging) images of pelvic high-resolution MRI to build an artificial intelligence platform and complete clinical tests. In this network, the proportion of positive and negative circumferential resection margin images was 1:2. In accordance with the test results of the validation group, the metrics of the receiver operating characteristic curves and the area under the curve were applied to compare the diagnostic results of the artificial intelligence platform with those of senior radiology experts. RESULTS: In this artificial intelligence platform, the accuracy, sensitivity, and specificity of the circumferential resection margin status as determined were 0.932, 0.838, and 0.956. The area under the receiver operating characteristic curves was 0.953. The time required to automatically recognize an image was 0.2 seconds. LIMITATIONS: This is a single-center retrospective study with limited data volume and a highly selected patient cohort. CONCLUSIONS: In high-resolution MRI images of rectal cancer before treatment, the application of faster region-based convolutional neural network to segment the positive circumferential resection margin has high accuracy and feasibility. See Video Abstract at http://links.lww.com/DCR/B88. EVALUACIÓN DEL MARGEN DE RESECCIÓN CIRCUNFERENCIAL DEL CÁNCER RECTAL MEDIANTE EL USO DE UNA RED NEURONAL CONVOLUCIONAL MÁS RÁPIDA BASADA EN UNA REGIÓN EN IMÁGENES DE RESONANCIA MAGNÉTICA DE ALTA RESOLUCIÓN: La resonancia magnética de alta resolución se considera el mejor método para evaluar si existe un margen de resección circunferencial involucrado en el cáncer de recto.Se exploró la aplicación de la red neuronal convolucional más rápida basada en una región para identificar márgenes de resección circunferencial positivos en imágenes de resonancia magnética de alta resolución.Este fue un estudio retrospectivo realizado en una única unidad quirúrgica de un hospital universitario público.Estudiamos 240 pacientes con cáncer rectal en el Hospital Afiliado de la Universidad de Qingdao desde el 2 de julio de 2006 hasta el 2 de agosto de 2008, a los que se determinó que tenían un margen de resección circunferencial positivo y que habían recibido una resonancia magnética de alta resolución. Todos los casos posteriores al tratamiento fueron excluidos de este estudio.La red neuronal convolucional más rápida basada en una región recibió capacitación de 12,258 imágenes de RM pélvica de alta resolución con relajación transversal para construir una plataforma de inteligencia artificial y completar pruebas clínicas. En esta red, la proporción de imágenes con margen de resección circunferencial positivo y negativo fue 1: 2. De acuerdo con los resultados de las pruebas del grupo de validación, se aplicaron las métricas de las curvas de las características operativas del receptor y del área bajo la curva para comparar los resultados de diagnóstico de la plataforma de inteligencia artificial con los de expertos de radiología de alto nivel.En esta plataforma de inteligencia artificial, la precisión, sensibilidad y especificidad del estado del margen de resección circunferencial según lo determinado fueron 0.932, 0.838 y 0.956, respectivamente. El área bajo las curvas características de operación del receptor fue de 0.953. El tiempo requerido para reconocer automáticamente una imagen fue de 0.2 segundos.Este es un estudio retrospectivo de centro único con volumen de datos limitado y una cohorte de pacientes altamente seleccionada.En las imágenes de resonancia magnética de alta resolución de cáncer rectal antes del tratamiento, la aplicación de la red neuronal convolucional más rápida basada en una región, para segmentar el margen de resección circunferencial positivo tiene una alta precisión y factibilidad. Consulte Video Resumen en http://links.lww.com/DCR/B88.

Use of Hisense Computer-Assisted Surgery System Enhances Infrapyloric Lymph Node Dissection for Gastric Cancer.

BACKGROUND: This study aimed to establish a three-dimensional model of infrapyloric vessels using the Hisense computer-assisted surgery (CAS) system before the operation to understand blood vessel variation types and determine the group 6 lymph node (LN) metastasis status. METHODS: One hundred and four gastric cancer patients were randomly assigned to a CAS group and a computed tomography (CT) group. Intraoperative and postoperative complications in the two groups were recorded. The number of group 6 LNs dissected and the metastasis status were compared between the groups. The independent risk factors influencing group 6 LN metastasis were determined by multiple logistic regression analysis. RESULTS: In the 50 CAS group patients, the gastrocolic trunk of Henle was divided into a gastrocolic type (34.0%) and a gastropancreatic colonic type (66.0%); the right gastroepiploic artery was divided into a coarse blood supply type (24.0%) and a fine blood supply type (76.0%); and the relationship between the right gastroepiploic artery and right gastroepiploic vein was divided into an adjacent type (58.0%) and a separated type (42.0%). Although the difference was not significant, the CAS group had fewer cases of intraoperative gastrocolic trunk injury and postoperative pancreatic leakage in trend than the CT group. The CAS group had more dissected LNs (P < 0.001) and metastatic LNs (P = 0.011) than the CT group; meanwhile, it had higher LN metastasis rate and LN metastasis degree in trend than the CT group. According to the multiple logistic regression model, tumor location and TNM stage were significantly correlated with group 6 LN metastases. CONCLUSIONS: By establishing a three-dimensional model of the infrapyloric vessels using the Hisense CAS system, we comprehensively determined the anatomic variations in each collateral vessel. The application of the Hisense CAS system significantly improved the number of LNs dissected and the discovery rate of LN metastases without increasing the incidence of complications.

Identification of Metastatic Lymph Nodes in MR Imaging with Faster Region-Based Convolutional Neural Networks.

MRI is the gold standard for confirming a pelvic lymph node metastasis diagnosis. Traditionally, medical radiologists have analyzed MRI image features of regional lymph nodes to make diagnostic decisions based on their subjective experience; this diagnosis lacks objectivity and accuracy. This study trained a faster region-based convolutional neural network (Faster R-CNN) with 28,080 MRI images of lymph node metastasis, allowing the Faster R-CNN to read those images and to make diagnoses. For clinical verification, 414 cases of rectal cancer at various medical centers were collected, and Faster R-CNN-based diagnoses were compared with radiologist diagnoses using receiver operating characteristic curves (ROC). The area under the Faster R-CNN ROC was 0.912, indicating a more effective and objective diagnosis. The Faster R-CNN diagnosis time was 20 s/case, which was much shorter than the average time (600 s/case) of the radiologist diagnoses.Significance: Faster R-CNN enables accurate and efficient diagnosis of lymph node metastases. Cancer Res; 78(17); 5135-43. ©2018 AACR.

17ß-estradiol regulates the malignancy of cancer stem-like cells derived from the MCF7 cell line partially through Sox2.

As a major common malignant tumor in women, the malignant behavior of breast cancer, which includes tumorigenesis and metastasis, is associated with estrogen, particularly 17ß-estradiol (E2). With accumulating evidence demonstrating that cancer stem-like cells (CSCs) serve a function in the malignant behavior of breast cancer, including metastasis, recurrence and chemoresistance, the effects of E2 on the physiological processes of CSCs have been attracting more attention. In the present study, in order to investigate the effects of E2 on CSCs, CSCs from the MCF7 breast cancer cell line were isolated and treated with 1, 10 and 50 nM E2. Detection of cell proliferation following E2 treatment revealed that 10 nM E2 treatment inhibited cell proliferation, whereas 50 nM E2 treatment resulted in the induction of apoptosis on CSCs. In order to further investigate the effects of E2 treatment on migration, colony formation and the self-renewal capacity of CSCs in vitro, cells were treated with 1 and 10 nM E2. As expected, compared with mock group, the self-renewal capacity of the CSCs was slightly increased by 10 nM E2 treatment, while 1 nM exhibited no observable effect. E2 treatment demonstrated different effects on the proliferation, migration, colony formation and self-renewal capacity of CSCs in a dose-dependent manner.

Polyene phosphatidylcholine overcomes oxaliplatin resistance in human gastric cancer BGC823 cells.

Intrinsic or acquired resistance to oxaliplatin (L-OHP) is a major reason of treatment failure in gastric cancer and limits therapeutic success. Here we generated an oxaliplatin resistant gastric cancer cell line, BGC823/L-OHP, to investigate the effect of a hepatoprotective compound, polyene phosphatidylcholine (PPC), on conquest of oxaliplatin resistance. BGC823/L-OHP cells showed less sensitive to L-OHP directed growth inhibition than the parental BGC823 cells. PPC treatment significantly increased anti-proliferative activity of L-OHP on resistant cells and promoted L-OHP triggered apoptosis, indicating that drug resistance was overcome. Mechanistically, L-OHP incubation stimulated upregulation of an ABC family protein, ABCF2, and the expression was inhibited by PPC. Moreover, expression levels of the stemness factor Nanog and its regulator TLR4 were notably enhanced in BGC823/L-OHP cells and reduced by PPC treatment. To conclude, PPC can overcome oxaliplatin resistance in gastric cancer cells via promoting apoptosis, inhibiting ABCF2, as well via reducing cancer stem cell-like features. The combination therapeutic strategy could serve to increase oxaliplatin effectiveness in the clinic.

HOXA3 promotes tumor growth of human colon cancer through activating EGFR/Ras/Raf/MEK/ERK signaling pathway.

Homeobox A3 (HOXA3), one of HOX transcription factors, regulates gene expression during embryonic development. HOXA3 expression has been reported to be associated with several cancers; however, its role in colon cancer and underlying mechanism are still unclear. The expression of HOXA3 in 232 paired of human colon tumor and adjacent non-tumorous tissues were measured by qPCR. The relationship between HOXA3 expression and clinical outcomes were analyzed by Kaplan-Meier survival curves analysis. Human colon cancer cell lines HT29 and HTC116 were transfected with HOXA3 siRNA, or HOXA3 expressing vector, and then cell proliferation and apoptosis were assessed, respectively. Western blot was performed to detect the activation of EGFR/Ras/Raf/MEK/ERK signaling pathway. Moreover, HOXA3-overexpressing and HOXA3-suppressing HT29 cells were subcutaneous injected into nod mice to confirm the regulation of HOXA3 on EGFR/Ras/Raf/MEK/ERK signaling in regulating tumor growth. HOXA3 was upregulated in colon tumor tissues and cell lines, and upregulated expression of HOXA3 was associated with low survival rate. Knockdown of HOXA3 suppressed cell viability and clone formation, while induced cell apoptosis. HOXA3 knockdown could not induce the increase of cell apoptosis on the condition of EGFR overexpression. In vivo xenograft studies, HOXA3-suppressing cells showed less tumorigenic. Moreover, HOXA3 knockdown suppressed the activation of EGFR/Ras/Raf/MEK/ERK signaling pathway. To conclude, this study indicated that HOXA3 might act as a promoter of human colon cancer formation by regulating EGFR/Ras/Raf/MEK/ERK signaling pathway. HOXA3 might be a potential therapeutic target for the treatment of colon cancer.

Madelung's Disease: Is Insobriety the Chief Cause?

BACKGROUND: Madelung's disease (MD) is a rare disease of unknown etiology that is characterized by massive fatty deposits distributed in a symmetrical pattern mainly in the head, neck, and upper trunk. Here, we sought to explore the pathogeny and treatment of MD. METHODS: We enrolled ten patients who underwent surgical operations and one patient who refused an operation at our hospital between January 2009 and December 2016. We collected their medical histories and the preoperative and postoperative serological indices. The serum chemistry clinical outcomes were compared between the preoperative and postoperative states. RESULTS: The mean alcohol intake of the eleven patients exceeded 450 g daily. Ten patients underwent open excisions, and the other patient refused an operation. No significant differences were observed between the preoperative and postoperative serum chemistry results. No recurrence has yet been observed in any of the ten operated patients. CONCLUSIONS: All of the patients in our study had associated alcoholism. Thus, insobriety might be one of the causes of MD. We believe that open operations may be an effective treatment based on the outcomes of the surgeries. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Decreased circulating BMP-9 levels in patients with Type 2 diabetes is a signature of insulin resistance.

Bone morphogenetic protein 9 (BMP-9) has been demonstrated to improve glucose homoeostasis in diabetic mice. However, no report has demonstrated the relationship of circulating BMP-9 levels with insulin resistance (IR) or Type 2 diabetes mellitus (T2DM) in humans. The objective of the present study was to investigate the relationship between BMP-9 and IR in cross-sectional and interventional studies. Circulating BMP-9 levels were analysed by ELISA in 280 well-characterized individuals. Two-hour oral glucose tolerance test (OGTT) and euglycaemic-hyperinsulinaemic clamp (EHC) were performed in 20 healthy subjects. Acute IR was induced by lipid infusion for 4 h in 20 healthy volunteers. Real-time (RT)-PCR and Western blotting were used to assess mRNA and protein expression of BMP-9. The effect of a glucagon-like peptide-1 (GLP-1) receptor agonist (PEX168) on circulating BMP-9 was investigated in a 24-week treatment trial. Circulating BMP-9 levels were significantly higher in healthy subjects than in newly diagnosed patients with T2DM. Circulating BMP-9 negatively correlated with HbA1c, fasting blood glucose (FBG), OGTT, the area under the curve for glucose (AUCglucose) and homoeostasis model assessment of insulin resistance (HOMA-IR). Multivariate regression analyses showed that BMP-9 levels were independently associated with non-esterified fatty acid (NEFA) and AUCglucose Both hyperinsulinaemia and lipid infusion decreased circulating BMP-9 levels. BMP-9 mRNA and protein expressions were significantly decreased in muscle and adipose tissues of T2DM patients. In the placebo treated group, BMP-9 levels continued to decline over time, whereas in the PEX 168 treated groups BMP-9 levels remained stable. Our data suggest that BMP-9 is likely to play an important role in IR in humans.