An Adaptable Nanoprobe Integrated with Quantitative T 1 -Mapping MRI for Accurate Differential Diagnosis of Multidrug-Resistant Lung Cancer.

Autor: Shen A; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Sun Y; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.; Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200438, China., Wang G; Department of Urology, Huashan Hospital, Fudan University, 200040, Shanghai, China., Meng X; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Tongji University Cancer Center, Shanghai, 200072, China.; Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, 200438, China., Ren X; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Wan Q; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Lv Q; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Wang X; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Ni J; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Li M; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Ma X; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Xu Y; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Jiang Y; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Wang F; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Cheng Y; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China., Wang P; Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Jazyk: angličtina
Zdroj: Advanced healthcare materials [Adv Healthc Mater] 2023 Dec; Vol. 12 (31), pp. e2300684. Date of Electronic Publication: 2023 Nov 28.
DOI: 10.1002/adhm.202300684
Abstrakt: Multidrug resistance (MDR) is one of the major factors causing failure of non-small-cell lung cancer (NSCLC) chemotherapy. Real-time and accurate differentiation between drug-resistant and sensitive NSCLC is of primary importance for guiding the subsequent treatments and improving the therapeutic outcome. However, there is no effective method to provide such an accurate differentiation. This study creates an innovative strategy of integrating H 2 O 2 -responsive nanoprobes with the quantitative T 1 -mapping magnetic resonance imaging (MRI) technique to achieve an accurate differential diagnosis between drug-resistant and sensitive NSCLC in light of differences in H 2 O 2 content in the tumor microenvironment (TME). The result demonstrates that the synthesized MIL-53(Fe)@MnO 2 nanocomposites possess an excellent capability of shortening the cancer longitudinal relaxation time (T 1 ) when meeting H 2 O 2 in TME. T 1 -mapping MRI could sensitively detect this T 1 variation (about 2.6-fold that of T1-weighted imaging (T 1 WI)) to accurately differentiate the H 2 O 2 content between drug-resistant and sensitive NSCLC. In addition, the quantitative data provided by the T 1 -mapping MRI dedicates correct comparison across imaging tests and is more reliable than T 1 WI, thus giving it a chance for precise assessment of the anti-cancer effect. This innovative strategy of merging TME adaptable nanoprobes with the quantitative MRI technique provides a new approach for the precise diagnosis of multidrug-resistant NSCLC.
(© 2023 Wiley-VCH GmbH.)
Databáze: MEDLINE
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