Results 191 to 200 of about 19,911 (301)

Blocking the voltage‐gated sodium channel hNav1.5 as a novel pH‐dependent mechanism of action for tamoxifen

open access: yesFEBS Open Bio, EarlyView.
Patch‐clamp recordings revealed that tamoxifen inhibits voltage‐gated sodium channels, especially under acidic conditions, both common in metastatic cancer cells. These effects may explain certain antitumor properties of tamoxifen, highlighting a novel mechanism of action beyond its known endocrine effects.
Karl Josef Föhr   +5 more
wiley   +1 more source

High LRIG1 expression predicts lymph node metastasis in patients with uterine cervical cancer

open access: yesFEBS Open Bio, EarlyView.
Lymph node status is crucial in determining treatment for women with early‐stage cervical cancer. We demonstrate that high LRIG1 protein expression in primary tumors can predict lymph node metastases. Our findings support further investigation of LRIG1 as a biomarker to improve staging accuracy and guide treatment decisions in cervical cancer patients.
Pernilla Israelsson   +5 more
wiley   +1 more source

Discontinuation of Immunotherapy in Patients With Relapsing Myelitis Without AQP4/MOG Antibodies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This study assesses the outcomes of immunotherapy discontinuation in patients with relapsing seronegative idiopathic myelitis (SIM), a condition that remains uninvestigated due to its rarity. We reviewed records from 77 patients with relapsing SIM at the National Cancer Center of Korea, focusing on 11 who discontinued treatment after a median ...
Ki Hoon Kim   +4 more
wiley   +1 more source

Aftercare following fatal traumatic injuries, needs and questions: a level 1 trauma center study and scoping review. [PDF]

open access: yesEur J Trauma Emerg Surg
Hakkenbrak NAG   +4 more
europepmc   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope   +4 more
wiley   +1 more source

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