Design of Multi-Stimuli Responsive Nanocarriers for Co-delivery of Phytochemicals and Immune Modulators: A Synergistic Approach to Overcoming Tumor Resistance

Stimuli-responsive nanocarriers for precision cancer therapy: a short communication

The paper reviews current developments concerning stimulus-responsive nanoparticles; it also describes how these agents work as a means to treat cancers precisely.

Research Progress of Multicomponent Co-Loaded Nanomedicine Delivery Systems for Tumor Immunotherapy

Abstract Tumor immunotherapy has substantially advanced cancer treatment by activating or enhancing the antitumor immune response. However, tumor heterogeneity, the immunosuppressive tumor microenvironment (TME), and therapeutic resistance limit the efficacy of single-agent immunotherapy, making mechanistically complem...

Tumor Microenvironment-Responsive Polymeric Nanocarriers for the Treatment of Triple-Negative Breast Cancer

This review provides a concise framework for the rational design of programmable, multi-responsive polymeric nanomedicines for TNBC therapy and summarizes recent advances in pH-, redox-, ROS-, hypoxia-, photo- and temperature-responsive polymers.

Stimuli-Responsive Mesoporous Silica Nanoparticles for Precision Cancer Therapy: Design Principles, Cellular Uptake, and Translational Perspectives.

This review highlights recent progress in the design and application of stimuli-responsive MSNs for cancer therapy, with particular emphasis on mechanisms of intracellular uptake, factors influencing cellular internalization, and strategies for controlled drug release.

Recent Advances in Stimuli-responsive Hybrid Natural, Synthetic, and Inorganic Biomaterial Platform Systems for Diverse Cancer Immunotherapy and Therapeutic Applications

New insights into breast cancer therapy: application and mechanisms of novel targeted nano-formulation

This review systematically summarizes targeted nanomedicines constructed from mainstream carriers, including polymeric, metallic, and biomimetic nanoparticles, and discusses the future prospects of artificial intelligence-assisted optimization strategies for nanomedicine development.