A Fully Automated Multimodal MRI-Based Multi-task Learning for Glioma Segmentation and IDH Genotyping

A Fully Automated Multimodal MRI-Based Multi-task Learning for Glioma Segmentation and IDH Genotyping

Research Report on Fully Automated Multimodal MRI Multi-task Learning for Glioma Segmentation and IDH Gene Typing Background of the Study Glioma is the most common primary brain tumor in the central nervous system. According to the World Health Organization (WHO) 2016 classification, gliomas are divided into low-grade gliomas (LGG, grades II and II...

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients

Globally, the most common and deadly malignant brain tumor is glioblastoma (Glioblastoma, GBM). In recent years, research has continuously attempted to predict the overall survival time (OS) of GBM patients using machine learning techniques based on preoperative single-modality or multi-modality imaging phenotypes. Although these machine learning m...

CHD2 Regulates Neuron-Glioma Interactions in Pediatric Glioma

Research Report on the Regulation of Neuron-Glioma Interactions by CHD2 in Pediatric Gliomas Background High-grade gliomas (HGG) are fatal diseases in both adult and pediatric patients. Recent studies have shown that neuronal activity can promote the progression of various high-grade glioma subgroups. However, the epigenetic mechanisms regulating t...

St. Jude Survivorship Portal: Sharing and Analyzing Large Clinical and Genomic Datasets from Pediatric Cancer Survivors

St. Jude Survivorship Portal: Sharing and Analyzing Large Clinical and Genomic Datasets from Pediatric Cancer Survivors

St. Jude Survivorship Portal: Analysis and Sharing of Large-Scale Clinical and Genomic Data of Pediatric Cancer Survivors Research Background In the United States, the five-year survival rate for childhood cancer has increased from about 60% in the 1970s to over 85% today. Despite the significant improvement in survival rates, these childhood cance...

Identification of Clonal Hematopoiesis Driver Mutations Through In Silico Saturation Mutagenesis

Introduction In the process of healthy hematopoiesis, a group of hematopoietic stem cells (HSC) contribute to all blood-related lineages. However, as we age, this process often leads to clonal hematopoiesis (CH), meaning the expansion of clones originating from a particular HSC, which then occupies a significant portion of blood cells and platelets...

Novel WRN Helicase Inhibitors Selectively Target Microsatellite-Unstable Cancer Cells

In the current field of tumor treatment, precision medicine continues to be a research hotspot and development trend. With the advancement of science and technology, we have begun to more accurately understand the characteristics of tumor cells and their dependencies for survival, in hopes of finding new therapeutic targets. Particularly, strategie...

ZNF397 Deficiency Triggers TET2-driven Lineage Plasticity and AR-targeted Therapy Resistance in Prostate Cancer

ZNF397 Deficiency Triggers TET2-driven Lineage Plasticity and AR-targeted Therapy Resistance in Prostate Cancer

ZNF397 Deficiency Triggers TET2-Driven Lineage Plasticity and AR-Targeted Therapy Resistance in Prostate Cancer Academic Background and Research Motivation Existing research evidence suggests that cancer cell lineage plasticity and epigenetic reprogramming enable them to evade lineage-dependent targeted therapy by adopting lineage plasticity. Howev...

Activating Point Mutations in the MET Kinase Domain Represent a Unique Molecular Subset of Lung Cancer and Other Malignancies Targetable with MET Inhibitors

This study reveals a new targetable cancer subtype characterized by activating point mutations in the MET tyrosine kinase domain (TKD). Researchers identified MET TKD activating mutations in approximately 0.5% of patients across a genomic data set of over 600,000 cancer cases, encompassing various tumor types, with the highest prevalence in renal c...

Iron-(Fe3+)-Dependent Reactivation of Telomerase Drives Colorectal Cancers

Iron-(Fe3+)-Dependent Reactivation of Telomerase Drives Colorectal Cancers

Iron (Ferric Ion, Fe3+)-Dependent Telomerase Reactivation Drives Colorectal Cancer Development I. Research Background Colorectal Cancer (CRC) is the third most common cancer globally, involving both genetic and non-genetic factors in its pathogenesis. Existing research shows a significant association between high iron content, hereditary iron overl...

Identifying behaviour-related and physiological risk factors for suicide attempts in the UK Biobank

Research Background: Suicide is a global public health challenge, but there is still significant uncertainty regarding the relationship between behavioral and physiological factors and suicide attempts (SA). Previous studies often focus on limited hypothesized factors such as mental illnesses (e.g., depression), personality and psychological traits...