Results 141 to 150 of about 283,745 (306)
This study develops a GSH‐responsive nanoplatform, NP@Fla‐Cu, to co‐activate cuproptosis and excessive mitophagy in uveal melanoma. The nanoplatform enhances tumor‐specific copper delivery, depletes antioxidant defenses, and remodels the tumor immune microenvironment.
Hong Ren +5 more
wiley +1 more source
Hepatocellular carcinoma (HCC)‐derived extracellular vesicles (EVs) enrich the metabolic enzyme ATP‐citrate lyase (ACLY). EV‐transferred ACLY enhances palmitate biosynthesis, increases the S‐palmitoylation and stability of multiple immune checkpoint proteins, augments the cellular immunosuppressive activity, and ultimately accelerates the malignant ...
Zhijun Liu +11 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
Experimental models in oncology: melanoma
Hospital Cuf Infante Santo, Farmácia ...
openaire +1 more source
A multifaceted chemical strategy, integrating bacterial tropism, metal‐ion interference therapy, and immunotherapy, resulted in significant tumor regression in murine models. A pioneering paradigm for the design of biohybrid materials was established, highlighting how sophisticated chemical engineering of living systems can unlock new avenues for ...
Tingting Zhang +7 more
wiley +1 more source
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
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
Stimuli-Responsive Drug Delivery Systems for Enhanced Melanoma Immunotherapy
Guoqing Zhang,1,2 Xiaojuan Zhang,1 Qiuxiang Dong,3 Shuaizhi Kong,2 Lihua Chen,2 Xiaoqing Zhang,1 Jianqing Gao,4 Jie Zhang,1 Baoyue Ding1 1Department of Pharmaceutics, Jiaxing Key Laboratory for Photonanomedicine and Experimental Therapeutics, College of ...
Zhang G +8 more
doaj
An Experimental Approach to the Chemotherapy of Melanoma
openaire +2 more sources
DNA Replication Errors Drive Genome‐Wide Small Inverted Triplication Dynamics
This study provides insight into the dynamic equilibrium mechanism of a novel structural variant, small inverted triplication (SIT), which is generated by misalignment of the 3’ flap generated under DNA replication stress with palindromic sequence. Alternatively, the end sequence may fold back on itself to form an inverted fragment.
Yi Lei +12 more
wiley +1 more source

