Harnessing copper-palladium alloy tetrapod nanoparticle-induced pro-survival autophagy for optimized photothermal therapy of drug-resistant cancer.
Yunjiao ZhangRui ShaLan ZhangWenbin ZhangPeipei JinWeiguo XuJian-Xun DingJun LinJing QianGuangyu YaoRui ZhangFanchen LuoJie ZengJie CaoLong-Ping WenPublished in: Nature communications (2018)
Chemo-PTT, which combines chemotherapy with photothermal therapy, offers a viable approach for the complete tumor eradication but would likely fail in drug-resistant situations if conventional chemotherapeutic agents are used. Here we show that a type of copper (Cu)-palladium (Pd) alloy tetrapod nanoparticles (TNP-1) presents an ideal solution to the chemo-PTT challenges. TNP-1 exhibit superior near-infrared photothermal conversion efficiency, thanks to their special sharp-tip structure, and induce pro-survival autophagy in a shape- and composition-dependent manner. Inhibition of autophagy with 3-methyl adenine or chloroquine has a remarkable synergistic effect on TNP-1-mediated PTT in triple-negative (4T1), drug-resistant (MCF7/MDR) and patient-derived breast cancer models, achieving a level of efficacy unattainable with TNP-2, the identically-shaped CuPd nanoparticles that have a higher photothermal conversion efficiency but no autophagy-inducing activity. Our results provide a proof-of-concept for a chemo-PTT strategy, which utilizes autophagy inhibitors instead of traditional chemotherapeutic agents and is particularly useful for eradicating drug-resistant cancer.
Keyphrases
- drug resistant
- multidrug resistant
- acinetobacter baumannii
- cell death
- photodynamic therapy
- endoplasmic reticulum stress
- signaling pathway
- cancer therapy
- oxidative stress
- locally advanced
- machine learning
- endothelial cells
- diabetic rats
- high glucose
- gold nanoparticles
- pseudomonas aeruginosa
- free survival
- breast cancer cells
- deep learning
- artificial intelligence