A long-term self-driven metronomic photodynamic system for cancer therapy

Metronomic photodynamic therapy is a long-term, low-dose treatment strategy that employs optical devices with continuous photosensitizer administration and requires stable device attachment with a consistent power source. These factors significantly limit patient mobility. Currently, no metronomic photodynamic therapy modality can operate independent of external devices, underscoring the critical need for in vivo light sources that function without external energy inputs. In this study, we integrate self-luminous bacteria with a photosensitizer in alginate microcapsules to create a self-driven metronomic photodynamic therapy that can be securely implanted within a tumour, thereby enabling continuous light emission without requiring an external energy source or ongoing replenishment of photosensitive reactants. By harnessing nutrients from the tumour microenvironment, this system sustains the generation of reactive oxygen species. A single injection effectively eliminates larger tumours (>300 mm<sup>3</sup>) in an opaque melanoma mouse model and transplanted hepatocarcinoma rabbit model. Self-driven metronomic photodynamic therapy demonstrates advantages over traditional photodynamic therapy, indicating its potential as a versatile therapeutic approach for cancer treatment with deeply situated lesions.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-10-03
DOI
https://doi.org/10.1038/s41467-025-63868-3
Citations
5
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
3.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A long-term self-driven metronomic photodynamic system for cancer therapy

Zhengwei Mao, Yuan Ding, Binglin Ye, Min Hu et al.
5 citations
Nature Communications
Nanoplatforms for cancer theranostics
3.37
article

A long-term self-driven metronomic photodynamic system for cancer therapy

Zhengwei Mao, Yuan Ding, Binglin Ye, Min Hu, Wei-Lin Wang, Yao Liu, Weili Wang, Jun Jiang, Zhi Li, Qianying Huang, Jialin Zhou
article en
5 citations

Abstract

Metronomic photodynamic therapy is a long-term, low-dose treatment strategy that employs optical devices with continuous photosensitizer administration and requires stable device attachment with a consistent power source. These factors significantly limit patient mobility. Currently, no metronomic photodynamic therapy modality can operate independent of external devices, underscoring the critical need for in vivo light sources that function without external energy inputs. In this study, we integrate self-luminous bacteria with a photosensitizer in alginate microcapsules to create a self-driven metronomic photodynamic therapy that can be securely implanted within a tumour, thereby enabling continuous light emission without requiring an external energy source or ongoing replenishment of photosensitive reactants. By harnessing nutrients from the tumour microenvironment, this system sustains the generation of reactive oxygen species. A single injection effectively eliminates larger tumours (>300 mm<sup>3</sup>) in an opaque melanoma mouse model and transplanted hepatocarcinoma rabbit model. Self-driven metronomic photodynamic therapy demonstrates advantages over traditional photodynamic therapy, indicating its potential as a versatile therapeutic approach for cancer treatment with deeply situated lesions.

Nature CommunicationsVol. 16(1)
Ministry of Education (NZ), Zhejiang University of Science and Technology (CN), Soochow University (CN), Zhejiang Cancer Hospital (CN), Ministry of Education (IR), Zhejiang Lab (CN), First Affiliated Hospital of Soochow University (CN), Second Affiliated Hospital of Zhejiang University (CN), Ministry of Education (KN), Zhejiang Modern Architectural Design & Research Institute (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Nanoplatforms for cancer theranostics
3.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.