Results 251 to 260 of about 545,238 (360)

Self‐Assembling Multi‐Antigen T Cell Hybridizers for Precision Immunotherapy of Multiple Myeloma

open access: yesAdvanced Healthcare Materials, EarlyView.
A novel modular T‐cell engager platform, MATCH, is developed for personalized multiple myeloma therapy. MATCH uses complementary oligonucleotide‐linked Fab’ fragments to enable flexible targeting of MM antigens and controlled T‐cell activation. The system shows potent, antigen‐specific cytotoxicity in vitro and in vivo, highlighting its potential for ...
Shannuo Li   +8 more
wiley   +1 more source

Antitumoral Efficacy of AuNRs‐Laden ECFCs In Vitro and In Vivo: Decoding the Heat and Rays Combo Treatment in Breast Cancer and Melanoma Cells

open access: yesAdvanced Healthcare Materials, EarlyView.
Endothelial Colony Forming Cells (ECFCs) acted as cellular cyborgs, stealthily transporting gold nanorods (AuNRs) into tumors to enable targeted near‐infrared (NIR) hyperthermia combined with radiotherapy. This approach triggers ferroptosis in melanoma and inhibits autophagy in breast cancer, revealing a tumor‐specific response to nanomaterial‐assisted
Cecilia Anceschi   +26 more
wiley   +1 more source

The Multifaceted Role of the IL-2 Cytokine Family in Melanoma: Mechanisms, Therapeutic Implications, and Immune Modulation. [PDF]

open access: yesJ Immunol Res
Daghaighei M   +15 more
europepmc   +1 more source

Digitonin‐Loaded Nanoscale Metal–Organic Framework for Mitochondria‐Targeted Radiotherapy‐Radiodynamic Therapy and Disulfidptosis

open access: yesAdvanced Materials, EarlyView.
A mitochondria‐targeted cationic nanoscale metal organic framework shows strong radiotherapy‐radiodynamic therapy effects and selectively releases digitonin in acidic tumor microenvironments to induce disulfidptosis of cancer cells and downregulate immune checkpoints in cancer and T cells, thereby eliciting strong antitumor immunity to effectively ...
Wenyao Zhen   +7 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle   +9 more
wiley   +1 more source

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