Results 241 to 250 of about 12,899,769 (365)

The Pathogenic Roles of Local Vitamin D Metabolism Defect in Valve Inflammation and Calcification

open access: yesAdvanced Science, EarlyView.
This study identifies the valvular interstitial cell populations responsible for valvular calcification induced by hyperphosphatemia and likely aging, uncovers local vitamin D metabolism defect‐induced inflammation as a critical pathogenic factor of calcific aortic valve disease, and highlights active vitamin D and ERK inhibitor as potential preventive
Ruichen Yang   +10 more
wiley   +1 more source

Effector-Memory γδ T Lymphocytes Predict CMV Disease After the Withdrawal of Prophylaxis in Kidney Transplant Recipients. [PDF]

open access: yesTranspl Int
Abadie Y   +9 more
europepmc   +1 more source

Life Factors and Melanoma: From the Macroscopic State to the Molecular Mechanism

open access: yesAdvanced Science, EarlyView.
Melanoma, an aggressive skin cancer, arises from dynamic interactions between genetic, environmental, and lifestyle factors. This review explores how age, gender, obesity, diet, exercise, smoking, alcohol, UV exposure, circadian rhythms, and medications influence melanoma risk and progression.
Hanbin Wang   +4 more
wiley   +1 more source

Cancer Immunotherapy via Disruption of Integrin αvβ3 and CD47 Costabilization on Cancer Cell Surface

open access: yesAdvanced Science, EarlyView.
This study identifies a cancer‐specific interaction between CD47 and integrin αvβ3 that facilitates immune evasion. A rationally designed peptide, PSFL‐NK13, disrupts this axis, enhancing macrophage‐mediated phagocytosis and suppressing tumor growth without inducing anemia.
Peng‐Cheng Yu   +12 more
wiley   +1 more source

HLA-DR expression in cytotoxic T lymphocytes: a key to boost the therapeutic potential of T cell-based strategies for breast cancer. [PDF]

open access: yesFront Immunol
Salvador R   +13 more
europepmc   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang   +32 more
wiley   +1 more source

Home - About - Disclaimer - Privacy