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http://dx.doi.org/10.1007/s00134-025-07924-y | DOI Listing |
Int J Mol Sci
August 2025
First Division of Neurology, Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.
Motor Neuron Diseases (MNDs) such as Amyotrophic Lateral Sclerosis (ALS), Primary Lateral Sclerosis (PLS), Hereditary Spastic Paraplegia (HSP), Spinal Muscular Atrophy with Respiratory Distress Type 1 (SMARD1), Multisystem Proteinopathy (MSP), Spinal and Bulbar Muscular Atrophy (SBMA), and ALS associated to Frontotemporal Dementia (ALS-FTD), have traditionally been studied as distinct entities, each one with unique genetic and clinical characteristics. However, emerging research reveals that these seemingly disparate conditions converge on shared molecular mechanisms that drive progressive neuroaxonal degeneration. This narrative review addresses a critical gap in the field by synthesizing the most recent findings into a comprehensive, cross-disease mechanisms framework.
View Article and Find Full Text PDFHaematologica
April 2025
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pôle de Recherches Sino-Français en Science du Vivant et Gé
The multi-center randomized phase 3 NHL-004 study compared etoposide, dexamethasone and pegaspargase (ESA) versus methotrexate, etoposide, dexamethasone and pegaspargase (MESA) regimen, combined with sandwiched radiotherapy, in newly diagnosed early-stage nasal natural killer/T-cell lymphoma (NKTCL). Here we report the long-term outcomes (median follow-up, 64 months) and biomarker analysis. 256 eligible patients aged 14-70 years were randomly assigned (1:1) to ESA or MESA arm.
View Article and Find Full Text PDFAbdom Radiol (NY)
April 2025
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Purpose: To develop and validate a deep learning-based feature ensemble model using multiparametric magnetic resonance imaging (MRI) for predicting tumor budding (TB) grading in patients with rectal cancer (RC).
Methods: A retrospective cohort of 458 patients with pathologically confirmed rectal cancer (RC) from three institutions was included. Among them, 355 patients from Center 1 were divided into two groups at a 7:3 ratio: the training cohort (n = 248) and the internal validation cohort (n = 107).
Commun Med (Lond)
February 2025
Precision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong, PR China.
Background: Tumor dormancy is a substantial clinical obstacle in treatment of estrogen receptor positive mammary carcinoma (ER+MC), contributing to drug resistance, metastatic outgrowth, relapse, and consequent mortality.
Methods: Preclinical models mimicking clinical anti-estrogen-induced ER+MC dormancy were generated in vivo. Function and a mechanism-based combination treatment were determined in the generated dormancy-like models in vitro, ex vivo, and in vivo.