由悉尼科技大学、哈佛大学和河南大学组成的研究团队开发了一种“双功能”智能纳米颗粒平台，用于胶质母细胞瘤的术中成像与术后光疗 1。该研究成果于2026年8月27日发表在《Science Translational Medicine》第18卷第861期，DOI为10.1126/scitranslmed.aeb8054 1。这种纳米颗粒能够在手术中通过近红外光成像，精准定位隐藏的胶质母细胞瘤细胞，并在术后利用同一波长的光进行光疗，从而清除残留的癌细胞 1。
在技术细节方面，该纳米颗粒能够成像小至44微米的肿瘤细胞簇 1。在小鼠模型实验中，接受该联合治疗的小鼠术后60天存活率达到100%，而仅接受手术的小鼠存活期为42天，且治疗组未检测到神经或运动功能损伤 1。目前，胶质母细胞瘤的五年生存率仅约为7% 1。研究人员强调，该成果仍处于动物实验的早期阶段，尚未在人体上进行测试 1。
A research team from the University of Technology Sydney, Harvard University, and Henan University has developed a dual-function smart nanoparticle platform designed to locate hidden glioblastoma cells during surgery and eliminate residual cancer cells afterward 1. Published on August 27, 2026, in Science Translational Medicine (Volume 18, Issue 861), the study details how the nanoparticles utilize near-infrared light imaging to identify tumor cell clusters as small as 44 micrometers 1. Following the surgical removal of the primary tumor, the same wavelength of light is applied to trigger phototherapy, effectively destroying any remaining cancer cells 1.
In mouse models, this combined approach significantly improved survival outcomes, with the treatment group achieving a 100% survival rate at 60 days post-surgery, compared to just 42 days for the surgery-only group 1. Furthermore, the procedure did not result in any detectable nerve or motor function damage 1. Glioblastoma currently has a five-year survival rate of approximately 7% 1. Researchers emphasize that this technology remains in the early stages of animal experimentation and has not yet been tested in humans 1.
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