Restoration of Neuronal Progenitors by Partial Reprogramming in the Aged Neurogenic Niche

Scientific Research Report Background Introduction For a long time, aging has been considered an irreversible process. However, recent research suggests that aging is a biological process that can be regulated. Various interventions have been shown to delay or even reverse certain characteristics of aging. Partial reprogramming is a method that rev...

Spatiotemporal Transcriptomic Changes of Human Ovarian Aging and the Regulatory Role of FOXP1

Research Report on Spatiotemporal Transcriptomic Changes in Human Ovarian Aging and the Regulatory Role of FOXP1 Academic Background With the continuous increase in global average life expectancy, health issues faced by women during menopause are receiving increasing attention. Ovarian aging is one of the significant issues, closely related to vari...

Inhibition of S6K Lowers Age-Related Inflammation and Increases Lifespan Through the Endolysosomal System

Inhibition of S6K Reduces Age-Related Inflammation and Extends Lifespan through the Endosomal-Lysosomal System Research Background and Problem Description As organisms age, chronic low-grade inflammation (inflammaging) and declined immune function (immunosenescence) become important pathological foundations of many diseases in the elderly, such as ...

Nature of Epigenetic Aging from a Single-Cell Perspective

Research on the Essence of Epigenetic Aging from a Single-Cell Perspective Research Background As biological research progresses, scientists have discovered that changes in DNA methylation (DNAm) constitute one of the most reliable predictors of age—known as the epigenetic clock. However, the mechanisms underlying what these clocks precisely measur...

Genomic Profiling of Small Bowel Adenocarcinoma: A Pooled Analysis from 3 Databases

Overview of Genomics in Small Bowel Adenocarcinoma: A Data Integration Analysis Based on Three Major Databases Background and Significance of the Study Small Bowel Adenocarcinoma (SBA) is a rare tumor, but its incidence has increased in recent years, especially in duodenal adenocarcinoma. Approximately 20% of SBA patients have certain susceptibilit...

Efficacy-Effectiveness Analysis on Survival in a Population-Based Real-World Study of BRAF-Mutated Metastatic Colorectal Cancer Patients Treated with Encorafenib-Cetuximab

Efficacy-Effectiveness Analysis of Encorafenib-Cetuximab Treatment in Patients with Oncogene-Mutated Metastatic Colorectal Cancer: A Cohort Study Research Background With the advancement of personalized medicine, targeted therapy has become an important means to treat various cancers. In metastatic colorectal cancer (mCRC), the combination of encor...

Comprehensive Genomic and Transcriptomic Characterization of High-Grade Gastro-Entero-Pancreatic Neoplasms

Comprehensive Genomic and Transcriptomic Characterization of High-Grade Gastro-Entero-Pancreatic Neoplasms

Research Report on Comprehensive Genomic and Transcriptomic Characteristics of High-Grade Gastro-Entero-Pancreatic Neuroendocrine Tumors Research Background High-grade gastro-entero-pancreatic neuroendocrine neoplasms (HG GEP-NENs) are a heterogeneous group of malignant tumors characterized by neuroendocrine differentiation. According to WHO 2019 [...

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...