Results 141 to 150 of about 287,222 (242)

Group 3 innate lymphocytes (ILC3s) upregulate IL-22 in response to elevated intracellular cAMP levels. [PDF]

Cytokine, 2022
Sah P, Derouen JT, Alexander JL, Zenewicz LA.   +3 more
europepmc   +1 more source

Gamma-delta T lymphocytes in adipose tissue

, 2023
T lymphocytes are a unique type of T lymphocytes which, because of their innate-like qualities, belong to the so-called innate lymphocytes. Although they are a relatively rare population of T lymphocytes in peripheral blood, they are enriched in many ...
Sztoláriková, Adéla
core  

Pharmacologic Modulation of ARID3A with Rimegepant Reactivates Type I Interferon Signaling and Sensitizes Triple‐Negative Breast Cancer to PD‐1 Blockade

Advanced Science, EarlyView.
This study identifies ARID3A as a key immunosuppressive transcription factor in TNBC. Its inhibition activates the type I IFN pathway, boosting CD8+ T cell infiltration and sensitizing tumors to anti‐PD‐1. The FDA‐approved migraine drug Rimegepant targets ARID3A, enhances immunotherapy efficacy in preclinical models, and establishes a druggable axis to
Teng Zhou, Yifei Zhu, Cheng Zeng, Jinlu Han, Huiying Huang, Doudou Li, Mingxi Lin, Yizi Jin, Qin Guo, Yuxin Yan, Xinhui Mao, Yifei Zhou, Jian Zhang   +12 more
wiley   +1 more source

Editorial: Therapeutic potential of innate and innate-like effector lymphocytes in autoimmune and inflammatory diseases

Frontiers in Immunology, 2023
Lan Wu, Fu-Dong Shi, Fu-Dong Shi, Luc Van Kaer   +3 more
doaj   +1 more source

Single‐Cell Dissection of Tumor‐Infiltrating Lymphocytes Reveals Cellular Architecture Predictive of Therapeutic Efficacy in Acral Melanoma

Advanced Science, EarlyView.
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang, Wanyi Xiao, Hongru Shen, Fenge Li, Ting Li, Weihong Zhang, Haotian Liu, Ziwei Gao, Hongyu Wang, Xiubao Ren, Kexin Chen, Xiangchun Li, Jilong Yang   +12 more
wiley   +1 more source

Innate lymphocytes: pathogenesis and therapeutic targets of liver diseases and cancer. [PDF]

Cell Mol Immunol, 2021
Chen Y, Tian Z.
europepmc   +1 more source

Immune mediated and direct killing of colorectal cancer by reovirus [PDF]

, 2012
Colorectal cancer remains the second most prevalent cancer in the world. Novel treatment strategies are necessary, especially for the treatment of metastatic disease.
Adair, Robert Allan
core  

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

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

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