Results 211 to 220 of about 17,377 (294)

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

BZW1 Drives Immune Evasion in Lung Adenocarcinoma via Ferroptosis Suppression

open access: yesAdvanced Science, EarlyView.
BZW1 attenuates ferroptosis by competitively binding NCOA4 and suppress ferrtinophagy‐mediated iron release. The depletion of BZW1 triggers lipid peroxidation through iron homeostasis. Extracellularly, BZW1 attenuates immunogenic cell death and reinvigorates cytotoxic T‐cell responses.
Linyao Zhao   +9 more
wiley   +1 more source

Promoter Hypermethylation‐Induced Silencing of FXYD1 Drives Breast Cancer Metastasis via DDX5‐Mediated Wnt/β‐Catenin Pathway Activation

open access: yesAdvanced Science, EarlyView.
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen   +11 more
wiley   +1 more source

Cryoablation Activates the cGAS–STING‐CXCL10 Axis in Macrophages to Enhance Anti‐Tumor Immunity in NSCLC

open access: yesAdvanced Science, EarlyView.
Tumor dsDNA released by cryoablation is taken up by macrophages, activating the cGAS‐STING signaling pathway. This leads to an expansion of the CXCL10+ macrophage pool and increased secretion of CXCL10, which in turn recruits CXCR3+ T cells from draining lymph nodes into the tumor microenvironment to exert anti‐tumor effects.
Xinxin Zhi   +17 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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