2015
DOI: 10.1021/ac504734s
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Mass Spectrometry Imaging in Drug Development

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Cited by 164 publications
(132 citation statements)
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“…However this method provides a measure of total drug concentrations that does not give a picture of the heterogeneity of drug distribution in tissues, related to the structural complexity of the neoplastic tissue and the influence of tumor microenvironment that markedly affect drug penetration2. Therefore methods are needed to show the drug’s spatial distribution in the tumor tissue3. The penetration of a drug in tumor depends first on its physicochemical characteristics, but the abnormal vasculature, reactive stroma, and inflammation that characterize tumor microenvironment are all important4.…”
mentioning
confidence: 99%
“…However this method provides a measure of total drug concentrations that does not give a picture of the heterogeneity of drug distribution in tissues, related to the structural complexity of the neoplastic tissue and the influence of tumor microenvironment that markedly affect drug penetration2. Therefore methods are needed to show the drug’s spatial distribution in the tumor tissue3. The penetration of a drug in tumor depends first on its physicochemical characteristics, but the abnormal vasculature, reactive stroma, and inflammation that characterize tumor microenvironment are all important4.…”
mentioning
confidence: 99%
“…MALDI imaging mass spectrometry (IMS) is a popular alternative to ICP-MS. MALDI IMS analysis visualizes multiple mass to charge ( m/z) ratios of molecules of interest simultaneously, and has been widely used for proteins, peptides, lipids, drugs and metabolites13. In a previous study, MALDI IMS was used to map the distribution of oxaliplatin and its metabolites in rat kidneys10.…”
mentioning
confidence: 99%
“…The resulting data may be visualized using a variety of software [2] to depict the localization and abundance of each molecule. MSI has been routinely applied to the study of plants [3], proteins [4], lipids [5], and drug distributions [6]. A common goal of nearly all applications is to achieve high spatial resolution without a loss in analyte detectability.…”
Section: Introductionmentioning
confidence: 99%