Single-Center Epidemiological Analysis of Malignant Transformation With Skin Ulcers in Outpatients. [PDF]
Kong Y +11 more
europepmc +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
A YAP/TAZ-CDC6 Axis Initiates and Maintains Malignant Transformation. [PDF]
Nduru D +5 more
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Adhesive hydrogel delivering ALA prevents the malignant transformation of oral leukoplakia. [PDF]
Lin L +9 more
europepmc +1 more source
Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi +19 more
wiley +1 more source
LncRNA <i>Dlx4os</i> drives malignant transformation and phenotype switching in melanoma. [PDF]
Ayub ALP +10 more
europepmc +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source
Bioinformatics combined with machine learning for the identification of malignant transformation markers in colorectal polyps. [PDF]
He T, Liang C, Li K, Li D.
europepmc +1 more source
Immunogenomic Characterization of Malignant Transformation in Intraductal Papillary Mucinous Neoplasms. [PDF]
Ecker BL +6 more
europepmc +1 more source

