journal article·2025-05-06

Amplifying X-ray-Induced Charge Transfer Facilitates Direct Sensitization of Photosensitizers in Radiotherapy

Da Zhang, Qingjing Chen, Junrong Zhang, Xiaohua Xing, Yang Zhou, Xiangyu Ou, Shuheng Dai, Qiushui Chen, Xiaolong Liu, Xiaoyuan Chen, Yongyi Zeng

ACS Nano· Volume 19· Issue 17
Publisher page

Abstract

X-ray-induced photodynamic therapy offers substantial promise for treating deep-seated tumors, but it is still limited by highly inefficient energy transfer processes and the stringent requirements for scintillators with high luminescence quantum yield and significant singlet–triplet intersystem crossing ratios. Herein, we describe X-ray-induced electron-dynamic therapy (X-eDT), which obviates the need for intersystem crossing by exposing nonluminescent hafnium-silica nanoparticles to X-rays, to generate high-energy electrons that can sensitize lower-lying triplet states of various photosensitizers. Our approach strongly induced the production of singlet oxygen (6.18-fold) in vitro even at lower X-ray doses, and in mice it strongly inhibited the growth of xenografts derived from liver, breast, or colon cancer cell lines (CDX), and growth of patient-derived xenografts (PDX) of hepatocellular carcinoma. In these CDX preclinical systems, X-eDT was not only effective against the irradiated xenograft but also against untreated xenografts in the same animal, and these abscopal effects involved enhanced tumor infiltration by CD4 + T cells, CD8 + T cells, and IFN-γ-polarized M1 macrophages within the tumor microenvironment. X-eDT even stimulated the production of memory T cells that inhibited rechallenges after treatment. These findings suggest that X-eDT can be effective against primary and metastatic tumors as well as tumor recurrence, which makes it much more powerful than conventional X-PDT.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Photodynamic Therapy Research Studies · Photoacoustic and Ultrasonic Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province

Mengchao Hepatobiliary Hospital of Fujian Medical University

Mengchao Med-X Center

Fuzhou University

Department of General Surgery

Fujian Medical University Union Hospital

MOE Key Laboratory for Analytical Science of Food Safety and Biology

Department of Physics, Chemistry and Biology (IFM)

Linköping University

CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Institute of Research on the Structure of Matter

Chinese Academy of Sciences

Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and Faculty of Engineering

National University of Singapore

Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine

Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine

Liver Disease Center

The First Affiliated Hospital of Fujian Medical University

Funding

National Medical Research Council · Ministry of Education - Singapore · National Research Foundation Singapore · National University of Singapore · National Natural Science Foundation of China · Fujian Province Outstanding Youth Science Fund Projects · Key Clinical Specialty Discipline Construction Program of Fuzhou · Fujian Provincial Health and Middle-aged and Young Scientific Research Major Projects · Fuzhou Health Commission Scientific Research Innovation Team Cultivation Project · Fujian Provincial Health and Medical Innovation Project · Fujian Province Joint Funds for the Innovation of Science and Technology

References (46)

Show source-provided references
1. 10.1038/s41571-020-0410-210.1038/s41571-020-0410-2 ↗
2. 10.1038/nrc339310.1038/nrc3393 ↗
3. 10.1063/5.006042410.1063/5.0060424 ↗
4. 10.1039/C8CS00921J10.1039/C8CS00921J ↗
5. 10.1016/j.trechm.2022.05.00110.1016/j.trechm.2022.05.001 ↗
6. 10.1038/s41467-022-32054-010.1038/s41467-022-32054-0 ↗
7. 10.1021/acsnano.2c0728610.1021/acsnano.2c07286 ↗
8. 10.1038/s41551-018-0203-410.1038/s41551-018-0203-4 ↗
9. 10.1021/acscentsci.9b0112110.1021/acscentsci.9b01121 ↗
10. 10.1002/adma.20180802410.1002/adma.201808024 ↗
11. 10.1002/adfm.20170749610.1002/adfm.201707496 ↗
12. 10.1038/nphys345210.1038/nphys3452 ↗
13. 10.1038/s41467-018-04703-w10.1038/s41467-018-04703-w ↗
14. 10.1038/s41551-022-00846-w10.1038/s41551-022-00846-w ↗
15. 10.1021/acs.accounts.2c0069910.1021/acs.accounts.2c00699 ↗
16. 10.1021/acscentsci.0c0030310.1021/acscentsci.0c00303 ↗
17. 10.1002/anie.20140847210.1002/anie.201408472 ↗
18. 10.1039/C7MH00442G10.1039/C7MH00442G ↗
19. 10.1038/s41566-020-00744-010.1038/s41566-020-00744-0 ↗
20. 10.1021/nl504044p10.1021/nl504044p ↗
21. 10.1016/j.chempr.2021.03.00810.1016/j.chempr.2021.03.008 ↗
22. 10.1021/acsnano.0c0383310.1021/acsnano.0c03833 ↗
23. 10.1021/acs.chemrev.5b0058810.1021/acs.chemrev.5b00588 ↗
24. 10.1002/advs.20210563110.1002/advs.202105631 ↗
25. 10.1126/science.aal249010.1126/science.aal2490 ↗
26. 10.1002/adhm.20170146010.1002/adhm.201701460 ↗
27. 10.1021/acsnano.3c0806810.1021/acsnano.3c08068 ↗
28. 10.1021/acsnano.3c0929310.1021/acsnano.3c09293 ↗
29. 10.1016/S1470-2045(19)30326-210.1016/S1470-2045(19)30326-2 ↗
30. 10.1002/adma.20230222010.1002/adma.202302220 ↗
31. 10.1021/acsnano.3c0891710.1021/acsnano.3c08917 ↗
32. 10.1016/j.ccell.2023.04.01510.1016/j.ccell.2023.04.015 ↗
33. 10.1038/ncomms1561810.1038/ncomms15618 ↗
34. 10.1126/science.108010610.1126/science.1080106 ↗
35. 10.1002/advs.20230785810.1002/advs.202307858 ↗
36. 10.1136/jitc-2023-00784010.1136/jitc-2023-007840 ↗
37. 10.1016/j.celrep.2017.04.03610.1016/j.celrep.2017.04.036 ↗
38. 10.1016/j.cell.2016.08.06410.1016/j.cell.2016.08.064 ↗
39. 10.1038/s41591-018-0232-210.1038/s41591-018-0232-2 ↗
40. 10.1093/intimm/dxy05010.1093/intimm/dxy050 ↗
41. 10.4049/jimmunol.178.3.135710.4049/jimmunol.178.3.1357 ↗
42. 10.1016/j.xcrm.2023.10131510.1016/j.xcrm.2023.101315 ↗
43. 10.1038/s41467-023-44255-210.1038/s41467-023-44255-2 ↗
44. 10.1016/j.pdpdt.2020.10209110.1016/j.pdpdt.2020.102091 ↗
45. 10.1038/s41571-023-00782-x10.1038/s41571-023-00782-x ↗
46. 10.1021/acsnano.3c0762110.1021/acsnano.3c07621 ↗