Ion channel gene signature for diagnosis and antifibrotic therapy in liver fibrosis. [PDF]
Li Y, Shen D, Qin F, Chen D, Li J.
europepmc +1 more source
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Identification and analysis of endoplasmic reticulum stress-related genes in neuroblastoma and construction of a prognostic gene signature. [PDF]
Lu W +9 more
europepmc +1 more source
Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito +8 more
wiley +1 more source
Identification of a Prognostic Gene Signature Based on Lenvatinib Resistance in Hepatocellular Carcinoma with Functional Validation of the Key Gene CPB2. [PDF]
Liu K +6 more
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Construction of an actin cytoskeleton-related gene signature for predicting prognosis and therapeutic response in glioblastoma: based on machine learning. [PDF]
Li M +10 more
europepmc +1 more source
Prominent Movement Disorders in RNU2‐2‐Related Spliceosomopathy
ABSTRACT Pediatric movement disorders often overlap with neurodevelopmental diseases, suggesting shared molecular mechanisms. Variants in small nuclear RNA (snRNA) genes encoding spliceosome components have recently been associated with neurodevelopmental disorders, termed “RNUopathies.” We analyzed genome sequencing data from 14 patients with ...
Magdalena Krygier +6 more
wiley +1 more source
Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer. [PDF]
Wu N, Fan Z.
europepmc +1 more source

