Systems Biology Approach to Investigate Biomarkers, Boron-10 Carriers, and Mechanisms Useful for Improving Boron Neutron Capture Therapy

背景(考古学) 蛋白质组学 中子俘获 放射治疗 放射生物学 计算机科学 化学 纳米技术 计算生物学 生物信息学 医学 生物 材料科学 内科学 生物化学 基因 古生物学 有机化学
作者
Davide Perico,Dario Di Silvestre,Shoji Imamichi,Yu Sanada,Mitsuko Masutani,Pierluigi Mauri
出处
期刊:Cancer Biotherapy and Radiopharmaceuticals [Mary Ann Liebert, Inc.]
卷期号:38 (3): 152-159 被引量:6
标识
DOI:10.1089/cbr.2022.0053
摘要

Systems biology approach, carried out with high-throughput omics technologies, has become a fundamental aspect of the study of complex diseases like cancer. It can molecularly characterize subjects, physiopathological conditions, and interactions, allowing a precise description, to reach personalized medicine. In particular, proteomics, typically performed with liquid chromatography coupled to mass spectrometry, is a powerful tool for systems biology, giving the possibility to perform diagnosis, patient stratification, and prediction of therapy effects. Boron Neutron Capture Therapy (BNCT) is a selective antitumoral radiotherapy based on a nuclear reaction that occurs when Boron-10 (10B) atoms are irradiated by low-energy thermal neutrons, leading to cell death, thanks to the production of high-energy α particles. Since BNCT is recently becoming an important therapy for the treatment of different types of solid tumors such as gliomas, head and neck cancers, and others, it can take advantage of molecular investigation to improve the understanding of effects and mechanisms and so help its clinical applications. In this context, proteomics can provide a better understanding of mechanisms related to BNCT effect, identify potential biomarkers, and individuate differential responses by specific patients, stratifying responders and nonresponders. Another key aspect of BNCT is the study of new potential 10B carriers to improve the selectivity of Boron delivery to tumors and proteomics can be important in this application, studying the effectiveness of new boron delivery agents, including protein-based carriers, also using computational studies that can investigate new molecules, such as boronated monoclonal antibodies, for improving BNCT.
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