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Glioblastoma is the most malignant tumor occurring in the human central nervous system with overall median survival time less then 14.6 months. Current treatments such as chemotherapy and radiotherapy cannot reach an optimal remission since tumor resistance to therapy remains a challenge. Glioblastoma stem cells are considered to be responsible for tumor resistance in treating glioblastoma. Previous studies reported two subtypes, proneural and mesenchymal, of glioblastoma stem cells manifesting different sensitivity to radiotherapy or chemotherapy. Mesenchymal glioblastoma stem cells, as well as tumor cells generate from which, showed resistance to radiochemotherapies. Besides, two metabolic patterns, glutamine or glucose dependent, of mesenchymal glioblastoma stem cells also manifested different sensitivity to radiochemotherapies. Glutamine dependent mesenchymal glioblastoma stem cells are more sensitive to radiotherapy than glucose-dependent ones. Therefore, the transition between proneural and mesenchymal subtypes, or between glutamine-dependent and glucose-dependent, might lead to tumor resistance to radiochemotherapies. Moreover, neural stem cells were also hypothesized to participate in glioblastoma stem cells mediated tumor resistance to radiochemotherapies. In this review, we summarized the basic characteristics, adaptive transition and implications of glioblastoma stem cells in glioblastoma therapy.Gene-environment interactions (GxE) are often suggested to play an important role in the aetiology of psychiatric phenotypes, yet so far, only a handful of genome-wide environment interaction studies (GWEIS) of psychiatric phenotypes have been conducted. Representing the most comprehensive effort of its kind to date, we used data from the UK Biobank to perform a series of GWEIS for neuroticism across 25 broadly conceptualised environmental risk factors (trauma, social support, drug use, physical health). selleck chemicals llc We investigated interactions on the level of SNPs, genes, and gene-sets, and computed interaction-based polygenic risk scores (PRS) to predict neuroticism in an independent sample subset (N = 10,000). We found that the predictive ability of the interaction-based PRSs did not significantly improve beyond that of a traditional PRS based on SNP main effects from GWAS, but detected one variant and two gene-sets showing significant interaction signal after correction for the number of analysed environments. This study illustrates the possibilities and limitations of a comprehensive GWEIS in currently available sample sizes.Angiogenesis and osteogenesis are coupled. However, the cellular and molecular regulation of these processes remains to be further investigated. Both tissues have recently been recognized as endocrine organs, which has stimulated research interest in the screening and functional identification of novel paracrine factors from both tissues. This review aims to elaborate on the novelty and significance of endocrine regulatory loops between bone and the vasculature. In addition, research progress related to the bone vasculature, vessel-related skeletal diseases, pathological conditions, and angiogenesis-targeted therapeutic strategies are also summarized. With respect to future perspectives, new techniques such as single-cell sequencing, which can be used to show the cellular diversity and plasticity of both tissues, are facilitating progress in this field. Moreover, extracellular vesicle-mediated nuclear acid communication deserves further investigation. In conclusion, a deeper understanding of the cellular and molecular regulation of angiogenesis and osteogenesis coupling may offer an opportunity to identify new therapeutic targets.Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-based volumetric image inference framework that uses 2D images that are sparsely captured by a standard wide-field fluorescence microscope at arbitrary axial positions within the sample volume. Through a recurrent convolutional neural network, which we term as Recurrent-MZ, 2D fluorescence information from a few axial planes within the sample is explicitly incorporated to digitally reconstruct the sample volume over an extended depth-of-field. Using experiments on C. elegans and nanobead samples, Recurrent-MZ is demonstrated to significantly increase the depth-of-field of a 63×/1.4NA objective lens, also providing a 30-fold reduction in the number of axial scans required to image the same sample volume. We further illustrated the generalization of this recurrent network for 3D imaging by showing its resilience to varying imaging conditions, including e.g., different sequences of input images, covering various axial permutations and unknown axial positioning errors. We also demonstrated wide-field to confocal cross-modality image transformations using Recurrent-MZ framework and performed 3D image reconstruction of a sample using a few wide-field 2D fluorescence images as input, matching confocal microscopy images of the same sample volume. Recurrent-MZ demonstrates the first application of recurrent neural networks in microscopic image reconstruction and provides a flexible and rapid volumetric imaging framework, overcoming the limitations of current 3D scanning microscopy tools.Ecotropic viral integration site 1 (Evi1) was discovered in 1988 as a common site of ecotropic viral integration resulting in myeloid malignancies in mice. EVI1 is an oncogenic zinc-finger transcription factor whose overexpression contributes to disease progression and an aggressive phenotype, correlating with poor clinical outcome in myeloid malignancies. Despite progress in understanding the biology of EVI1 dysregulation, significant improvements in therapeutic outcome remain elusive. Here, we highlight advances in understanding EVI1 biology and discuss how this new knowledge informs development of novel therapeutic interventions. EVI1 is overexpression is correlated with poor outcome in some epithelial cancers. However, the focus of this review is the genetic lesions, biology, and current therapeutics of myeloid malignancies overexpressing EVI1.BACKGROUND Hemangiomas are relatively rare, slow-growing, benign neoplasms that can cause necrosis, ulceration, and infection leading to airway obstruction or intractable hemorrhage. Controversy persists regarding the treatment options for these tumors, which include active observation, corticosteroids, sclerotherapy, laser treatment, and surgical resection. CASE REPORT A 61-year-old man presented with a 6-month history of persistent throat clearing and foreign body sensation in the throat. He was receiving medical treatment and psychotherapy for major depressive disorder and anxiety disorder. Laryngoscopy and computed tomography revealed a large, irregular, lobulated mass covered by bluish mucosa in the hypopharynx and larynx on the right without involvement of the true vocal fold or subglottis. Orotracheal intubation was performed under general anesthesia. The hemangioma abutting the epiglottis and arytenoid was dissected by CO₂ laser. The hemangioma in the pharyngoepiglottic fold and aryepiglottic fold was resected using an ultrasonic scalpel. The hemangioma in the ventricle, false vocal fold, and paraglottic space was treated by potassium-titanyl-phosphate (KTP) laser photocoagulation. Pathological examination confirmed hemangioma. There has been no recurrence during 18 months of follow-up. CONCLUSIONS The treatment of pharyngolaryngeal hemangiomas is challenging. It is important to select treatment options considering the characteristics of the treatments and the anatomical and functional relationship between the hemangioma and the surrounding structures. Single-session KTP laser photocoagulation combined with surgical resection using an ultrasonic scalpel via a transoral approach according to anatomic site could be an effective treatment for pharyngolaryngeal hemangioma.BACKGROUND Orthotopic liver transplantation has become the procedure of choice for end-stage liver disease. There are 3 commonly used methods of vena cava anastomosis. Here, we report a new technique for native hepatectomy. MATERIAL AND METHODS The data of 12 patients who underwent orthotopic liver transplantation using a new surgical technique were retrospectively collected for analysis. The new separation and reconstruction surgical technique mainly involved the second portal isolation and hepatectomy that followed. We performed recipient liver resection without the occlusion of the inferior vena cava, which was then followed by classic, piggyback, modified piggyback, or side-to-side orthotopic liver transplantation. The graft function index and complications were collected after transplantation. RESULTS The length of the anhepatic phase was 30.92±9.1 min. Alanine transaminase (ALT) levels were 138 to 2027 U/L, with a median of 361.5 U/L. The ALT levels of all patients gradually decreased to normal levels 7 to 10 days after surgery. Only 2 recipients had elevated levels of ALT higher than 1000 U/L. Four of 12 patients did not require red blood cell transfusion during surgery. Four patients appeared to have early allograft dysfunction, while others recovered smoothly. CONCLUSIONS This new surgical technique may shorten the anhepatic phase and decrease blood loss volume, aiding the success of liver transplant surgery. It can be used for most patients and does not increase the risk of complications or impair prognosis.BACKGROUND Bladder cancer is a malignant tumor of the genitourinary system. Different subtypes of bladder cancer have different treatment methods and prognoses. Therefore, identifying hub genes affecting other genes is of great significance for the treatment of bladder cancer. MATERIAL AND METHODS We obtained expression profiles from the GSE13507 and GSE77952 datasets from the Gene Expression Omnibus database. First, principal component analysis was used to identify the difference in gene expression in different types of tissues. Differential expression analysis was used to find the differentially expressed genes between normal and tumor tissues, and between tumors with and without muscle infiltration. Further, based on differentially expressed genes, we constructed 2 decision trees for differentiating between tumor and normal tissues, and between muscle-infiltrating and non-muscle-infiltrating tumor tissues. A receiver operating characteristic curve was used to evaluate the prediction effect of the decision trees. RESULTS FAM107A and C8orf4 showed significantly lower expression in bladder cancer tissues than in normal tissues. Regarding muscle infiltration, CTHRC1 showed lower expression and HMGCS2 showed higher expression in non-muscle-infiltrating samples than in those with muscle infiltration. We constructed 2 decision trees for differentiating between tumor and normal tissue, and between tissues with and without muscle infiltration. Both decision trees showed good prediction results. CONCLUSIONS These newly discovered hub genes will be helpful in understanding the occurrence and development of different subtypes of bladder cancer, and will provide new therapeutic targets and biomarkers for bladder cancer.
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