Triple-negative breast cancer (TNBC) remains a refractory subtype of breast cancer due to its resistance to various therapeutic strategies. In this study, we introduce a "brake-release and accelerator-pressing" approach to engineer a microneedle patch embedded with copper-doped Prussian blue nanoparticles (Cu-PB) and the ferroptosis inducer sorafenib (SRF) for raised chemodynamic (CDT)/photothermal (PTT) combination therapy against TNBC. Upon transdermal insertion, the dissolving microneedles swiftly disintegrate and facilitate the release of SRF. Under gentle external light exposure, copper ions (Cu²⁺) and iron ions (Fe³⁺) were liberated from Cu-PB. The direct chelation of Cu²⁺ and the indirect suppression by SRF, collectively attenuate glutathione peroxidase 4 (GPX4) enzymatic function, destabilizing the cellular redox equilibrium (referred to as the "brake-release" strategy). The release of Cu²⁺ and Fe³⁺ ions instigates a Fenton/Fenton-like reaction within tumor cells, further yielding hydroxyl radicals and elevating reactive oxygen species (ROS) concentrations (referred to as the "accelerator-pressing" strategy). This overwhelming ROS accumulation, coupled with the impaired clearance of resultant lipid peroxides (LPO), ultimately triggers a robust ferroptosis cell death response. In summary, this study presents an innovative combinatorial therapeutic strategy based on dual-ferroptosis induction for TNBC, implying a promising therapeutic platform for developing ferroptosis-centered treatments for this aggressive breast cancer subtype.

Objective Based on clinical consultation practices,it systematically evaluates the outcomes of remote video consultation services,identifies key factors influencing these outcomes,and provides empirical evidence for optimizing telemedicine services.Methods It recruited 201 patients nationwide requiring video consultations,objectively recorded diagnostic outcomes,and analyzed influencing factors using hierarchical regression.Results Among the 201 participants,62(30.84％)achieved effective diagnosis and treatment,while 139(69.16％)did not meet expected outcomes.Hierarchical regression results revealed that disease category,physician title,availability of auxiliary diagnostic information,and presence of assisting personnel significantly impacted consultation outcomes(P＜0.05).Higher physician titles,richer auxiliary diagnostic information provided by patients,and involvement of assisting personnel correlated with better alignment of outcomes with expectations.Conclusion Significant variations in video consultation outcomes were observed,primarily influenced by assisting personnel,physician qualifications,auxiliary diagnostic information and disease category.It is suggested to introduce a large artificial intelligence model for pre-triage,set up standardized video consulting rooms in primary medical and health institutions and configure collaborative personnel,and build a regional patient information sharing platform,so as to improve patient satisfaction during treatment and promote the further development and optimization of video consultation.

Objective Based on clinical consultation practices,it systematically evaluates the outcomes of remote video consultation services,identifies key factors influencing these outcomes,and provides empirical evidence for optimizing telemedicine services.Methods It recruited 201 patients nationwide requiring video consultations,objectively recorded diagnostic outcomes,and analyzed influencing factors using hierarchical regression.Results Among the 201 participants,62(30.84％)achieved effective diagnosis and treatment,while 139(69.16％)did not meet expected outcomes.Hierarchical regression results revealed that disease category,physician title,availability of auxiliary diagnostic information,and presence of assisting personnel significantly impacted consultation outcomes(P＜0.05).Higher physician titles,richer auxiliary diagnostic information provided by patients,and involvement of assisting personnel correlated with better alignment of outcomes with expectations.Conclusion Significant variations in video consultation outcomes were observed,primarily influenced by assisting personnel,physician qualifications,auxiliary diagnostic information and disease category.It is suggested to introduce a large artificial intelligence model for pre-triage,set up standardized video consulting rooms in primary medical and health institutions and configure collaborative personnel,and build a regional patient information sharing platform,so as to improve patient satisfaction during treatment and promote the further development and optimization of video consultation.