Results 111 to 120 of about 33,742 (266)
Significance of some factors in the pathogenesis of hemorrhagic fevers [PDF]
Bojić Ivanko +4 more
doaj +1 more source
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 +12 more
wiley +1 more source
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 +12 more
wiley +1 more source
Objectives: Retained cement is an idiopathic factor contributing to early implant loss, making the selection of cement with minimal toxicity to peri-implant hard and soft tissues crucial.
Siamak Yaghobee +3 more
doaj
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
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
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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
Combining Tumor Treating Fields with Immunotherapy in Pancreatic Ductal Adenocarcinoma: Mechanisms, Preclinical Evidence, and Emerging Therapeutic Synergy. [PDF]
Albelal D +5 more
europepmc +1 more source
This study developed a double‐network hydrogel with piezoelectric properties, exhibiting excellent antibacterial activity and promoting fibroblast migration, angiogenesis, and lymphangiogenesis through piezoelectric stimulation, thereby accelerating the healing of infected chronic wounds.
Xiang Li +7 more
wiley +1 more source
A Single Dose Study of Pembrolizumab in People With HIV Infection Who are Immunologic Nonresponders. [PDF]
Kuruppu J +19 more
europepmc +1 more source

