Results 151 to 160 of about 41,326 (302)

ZMAT1 Promotes Osteoclastogenesis Through TRIM46 Mediated YAP1 Degradation and Inhibits Osteoblastogenesis

open access: yesAdvanced Science, EarlyView.
Zmat1 deficiency mitigates pathological bone loss by impairing osteoclastogenesis and promoting osteoblastogenesis. Mechanistically, in osteoclasts, Zmat1 loss relieves transcriptional repression of the E3 ligase TRIM46, promoting YAP1 degradation and inhibiting osteoclastogenic genes.
Xinyu Chang   +13 more
wiley   +1 more source

Tumor‐Derived Exosomes Deliver Membrane‐Bound Fgl2 to Activate FcγRIIB‐Mediated Immunosuppression in Myeloid‐Derived Suppressor Cells

open access: yesAdvanced Science, EarlyView.
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin   +12 more
wiley   +1 more source

Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
Immune‐enriched pancreatic cancer does not confer a significant survival advantage. SAHA sensitizes these “hot” tumors to chemoimmunotherapy by disrupting a FASN/PARP9‐driven “metabolic trap” and enhancing CD8+ T cell function. A CD8high/FASNhigh/PARP9high signature identifies patients who are most likely to benefit from the “gemcitabine‐nivolumab‐SAHA”
Chen Chen   +13 more
wiley   +1 more source

Lipoic Acid‐Intervened Decellularized Stem Cell Spheroid‐Based Injectable Granular Gel for Diabetic Tissue Regeneration

open access: yesAdvanced Science, EarlyView.
ABSTRACT Advancements in tissue engineering have revolutionized therapeutic paradigms for diabetic tissue defects; however, the lack of applicable scaffold containing various bioactive substance aggregates remained a critical bottleneck hindering satisfactory repair effect.
Tao Wang   +8 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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