Results 211 to 220 of about 449,121 (298)

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects

Advanced Science, EarlyView.
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang, Tianyu Shao, Fengjiang Qu, Caiyun Bai, Sijie Li, Pin Gao, Wenna Li, Keman Cheng, Xiao Zhao, Zhimin Fan   +9 more
wiley   +1 more source

Bench‐to‐Bedside Translation of Self‐Healing Colloidal Hydrogels as Next Generation Design of Flowable Hemostatic Matrix: From Preclinical Evaluation to Human Clinical Trials

Advanced Science, EarlyView.
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng, Kaiwen Chen, Qiwei Ying, Shuya Wang, Xin Li, Guanlin Li, Yantao Zhao, Binghua Ma, Huanan Wang, Dawei Li, Lijun Zhang, Jian Zhang, Yu Zhao, Changle Ren, Baodong Chen, Yueming Song   +15 more
wiley   +1 more source

CD4+T cell metabolic reprogramming as therapeutic targets in neurodegenerative diseases. [PDF]

Mol Brain
Barnie PA, Pomeyie K, Amoani B, Kyei F, Mumuni AU, Afrifa J, Essien-Baidoo S, Boison D.   +7 more
europepmc   +1 more source

Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer

Advanced 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, Dingru Li, Yingna Liao, Zehua Wang, Chunbin Zhu, Zifeng Zhang, Liquan Jin, Yueyue Chen, Jiaoshun Chen, Junyi Xu, Miaoyan Wei, Rong Tang, Xianjun Yu, Si Shi   +13 more
wiley   +1 more source

The CXCL13 hub in obesity-related metabolic inflammation: regulation of spatiotemporal heterogeneity and targeted strategies. [PDF]

J Endocrinol
Huang M, Chen X, Jiang Y, Liu T.
europepmc   +1 more source

BZW1 Drives Immune Evasion in Lung Adenocarcinoma via Ferroptosis Suppression

Advanced 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, Yue Peng, Qing Liang, Shi Liu, Yang Li, Lei Ma, Menghan Hu, Sujuan Zheng, Zhihua Liu, Shugeng Gao   +9 more
wiley   +1 more source

Tumor Infiltrating Lymphocytes in Cutaneous Squamous Cell Carcinoma-A Systematic Review. [PDF]

Dermatopathology (Basel)
Loo LY, Tay SH, Oh CC.
europepmc   +1 more source

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

Advanced 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, Zhengcao Xing, Libo Luo, Jiale Wang, Xinyu Liu, Jia Yu, Jizhong Yin, Bin Chen, Yiwei Liu, Hui Sun, Guanghui Gao, Lei Wang, Xiaoxia Chen, Fei Li, Hu Ma, Lin Wang, Shuo Yang, Shengxiang Ren   +17 more
wiley   +1 more source

Targeting Leukopoiesis: Pharmacological and Biotechnological Strategies for the Treatment of Leukopenia. [PDF]

Biomedicines
Baktybayeva L, Kaldybayeva AB, Sokolenko A, Tursynova B, Ten AY, Daulet G, Svambayev E, Thevis M, Yu VK, Tassibekov KS.   +9 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced 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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source