TY - JOUR
T1 - Bacterial targeted AIE photosensitizers synergistically promote chemotherapy for the treatment of inflammatory cancer
AU - Zhang, Tianfu
AU - Liu, Yang
AU - Deng, Yanlin
AU - Chua, Song Lin
AU - Tang, Ben Zhong
AU - Khoo, Bee Luan
N1 - Funding Information:
This study was supported by the City University of Hong Kong, which is funded by the Research Grants Council (RGC). This work was also supported by the City University of Hong Kong [9610430, 7020002, 7005208, 7005464, 9667220]; Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE); Research Grants Council of the Hong Kong Special Administrative Region [9048206]; Pneumoconiosis Compensation Fund Board [9211276]; and the Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park Project (HZQB-KCZYZ-2021017).
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Tumor-associated components, especially extratumoral bacteria (EB) in the form of biofilms, could exacerbate cancer progression and hinder the effectiveness of antitumor drugs by covering the interstitial tumor space. Although photodynamic therapy (PDT) is a promising modality to kill cancer cells and bacteria with high spatiotemporal precision, the low penetration of light limits its potential in deep tumor therapy. Furthermore, current 2D culture-based preclinical in vitro models failed to reflect the complexity of the tumor microenvironment. Here, we developed an unprecedented “1 + 1 > 2″ combinatorial strategy of PDT and chemotherapy by co-delivering a bacterial-targeted photosensitizer with aggregation-induced emission (AIE) property and an anticancer drug, doxorubicin. The theranostic system could selectively visualize and rapidly kill EB, using a microfluidic-based 3D bladder cancer model. The effect of combinatorial therapy was synergistic, resulting in improved efficacy, as evidenced by at least a 2.5-fold reduction in the half-maximal inhibitory concentration of doxorubicin. Validation using a fish wound infection model further demonstrated the feasibility of AIE photosensitizers for efficient fluorescence imaging-guided PDT in vivo. Overall, we proposed a robust AIE PDT/chemotherapy strategy that shows great potential for rapid and concurrent treatment of bacterially infected cancer patients.
AB - Tumor-associated components, especially extratumoral bacteria (EB) in the form of biofilms, could exacerbate cancer progression and hinder the effectiveness of antitumor drugs by covering the interstitial tumor space. Although photodynamic therapy (PDT) is a promising modality to kill cancer cells and bacteria with high spatiotemporal precision, the low penetration of light limits its potential in deep tumor therapy. Furthermore, current 2D culture-based preclinical in vitro models failed to reflect the complexity of the tumor microenvironment. Here, we developed an unprecedented “1 + 1 > 2″ combinatorial strategy of PDT and chemotherapy by co-delivering a bacterial-targeted photosensitizer with aggregation-induced emission (AIE) property and an anticancer drug, doxorubicin. The theranostic system could selectively visualize and rapidly kill EB, using a microfluidic-based 3D bladder cancer model. The effect of combinatorial therapy was synergistic, resulting in improved efficacy, as evidenced by at least a 2.5-fold reduction in the half-maximal inhibitory concentration of doxorubicin. Validation using a fish wound infection model further demonstrated the feasibility of AIE photosensitizers for efficient fluorescence imaging-guided PDT in vivo. Overall, we proposed a robust AIE PDT/chemotherapy strategy that shows great potential for rapid and concurrent treatment of bacterially infected cancer patients.
KW - Aggregation-induced emission
KW - Inflammatory cancer
KW - Microfluidics
KW - Photodynamic therapy
KW - Synergistic therapy
UR - http://www.scopus.com/inward/record.url?scp=85133218344&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2022.137579
DO - 10.1016/j.cej.2022.137579
M3 - Journal article
SN - 1385-8947
VL - 447
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 137579
ER -