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Candido MF, Medeiros M, Veronez LC, Bastos D, Oliveira KL, Pezuk JA, Valera ET, Brassesco MS. Drugging Hijacked Kinase Pathways in Pediatric Oncology: Opportunities and Current Scenario. Pharmaceutics 2023; 15:pharmaceutics15020664. [PMID: 36839989 PMCID: PMC9966033 DOI: 10.3390/pharmaceutics15020664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/18/2023] Open
Abstract
Childhood cancer is considered rare, corresponding to ~3% of all malignant neoplasms in the human population. The World Health Organization (WHO) reports a universal occurrence of more than 15 cases per 100,000 inhabitants around the globe, and despite improvements in diagnosis, treatment and supportive care, one child dies of cancer every 3 min. Consequently, more efficient, selective and affordable therapeutics are still needed in order to improve outcomes and avoid long-term sequelae. Alterations in kinases' functionality is a trademark of cancer and the concept of exploiting them as drug targets has burgeoned in academia and in the pharmaceutical industry of the 21st century. Consequently, an increasing plethora of inhibitors has emerged. In the present study, the expression patterns of a selected group of kinases (including tyrosine receptors, members of the PI3K/AKT/mTOR and MAPK pathways, coordinators of cell cycle progression, and chromosome segregation) and their correlation with clinical outcomes in pediatric solid tumors were accessed through the R2: Genomics Analysis and Visualization Platform and by a thorough search of published literature. To further illustrate the importance of kinase dysregulation in the pathophysiology of pediatric cancer, we analyzed the vulnerability of different cancer cell lines against their inhibition through the Cancer Dependency Map portal, and performed a search for kinase-targeted compounds with approval and clinical applicability through the CanSAR knowledgebase. Finally, we provide a detailed literature review of a considerable set of small molecules that mitigate kinase activity under experimental testing and clinical trials for the treatment of pediatric tumors, while discuss critical challenges that must be overcome before translation into clinical options, including the absence of compounds designed specifically for childhood tumors which often show differential mutational burdens, intrinsic and acquired resistance, lack of selectivity and adverse effects on a growing organism.
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Affiliation(s)
- Marina Ferreira Candido
- Department of Cell Biology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil
| | - Mariana Medeiros
- Regional Blood Center, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil
| | - Luciana Chain Veronez
- Department of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil
| | - David Bastos
- Department of Biology, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-901, SP, Brazil
| | - Karla Laissa Oliveira
- Department of Biology, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-901, SP, Brazil
| | - Julia Alejandra Pezuk
- Departament of Biotechnology and Innovation, Anhanguera University of São Paulo, UNIAN/SP, São Paulo 04119-001, SP, Brazil
| | - Elvis Terci Valera
- Department of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil
| | - María Sol Brassesco
- Departament of Biotechnology and Innovation, Anhanguera University of São Paulo, UNIAN/SP, São Paulo 04119-001, SP, Brazil
- Correspondence: ; Tel.: +55-16-3315-9144; Fax: +55-16-3315-4886
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Morosi L, Matteo C, Meroni M, Ceruti T, Fuso Nerini I, Bello E, Frapolli R, D'Incalci M, Zucchetti M, Davoli E. Quantitative measurement of pioglitazone in neoplastic and normal tissues by AP-MALDI mass spectrometry imaging. Talanta 2022; 237:122918. [PMID: 34736656 DOI: 10.1016/j.talanta.2021.122918] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 11/26/2022]
Abstract
Pioglitazone is a Peroxisome Proliferator-Activated Receptor (PPAR) agonist of the thiazolidinedione class of compounds with promising anticancer activity. An innovative quantitative mass spectrometry imaging (MSI) method and a HPLC-UV method were developed and validated to investigate its distribution in tumor and liver tissues. The MSI method is based on stable isotope normalization and resulted highly specific and sensitive (0.2 pmol/spot). The correct identification of the drug ion signal is confirmed by MS/MS analysis on tissue. The method shows an optimal lateral resolution (25 μm) relying on the ionization efficiency and fine laser diameter of the atmospheric pressure MALDI source. The HPLC-UV method is simple and straightforward involving quick protein precipitation and shows good sensitivity (50ng/sample) using a small starting volume of biological sample. Thus, it is applicable to samples obtained from both preclinical models and clinical surgical procedures. MSI and HPLC-UV assays were validated assessing linearity, intra- and inter-day precision and accuracy, limit of quantification, selectivity and recovery. These are the first methods developed and validated for the analysis of pioglitazone in tissues, and they were applied successfully to myxoid liposarcoma xenograft-bearing mice, which received clinically relevant drug doses. Pioglitazone was measured by either method in sections of tumor and liver 2, 6 and 24 h post-treatment. Drug distribution was relatively homogeneous.
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Affiliation(s)
- Lavinia Morosi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Cristina Matteo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Marina Meroni
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Tommaso Ceruti
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Ilaria Fuso Nerini
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Ezia Bello
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Roberta Frapolli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy.
| | - Maurizio D'Incalci
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Massimo Zucchetti
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology, Via Mario Negri 2, Milan, Italy
| | - Enrico Davoli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Mass Spectrometry Research Center for Health and Environment and Laboratory of Mass Spectrometry, Via Mario Negri 2, Milan, Italy
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3
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Understanding carotenoid biosynthetic pathway control points using metabolomic analysis and natural genetic variation. Methods Enzymol 2022; 671:127-151. [DOI: 10.1016/bs.mie.2022.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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4
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Jo H, Yagishita S, Hayashi Y, Ryu S, Suzuki M, Kohsaka S, Ueno T, Matsumoto Y, Horinouchi H, Ohe Y, Watanabe SI, Motoi N, Yatabe Y, Mano H, Takahashi K, Hamada A. Comparative study on the efficacy and exposure of molecular target agents in non-small cell lung cancer PDX models with driver genetic alterations. Mol Cancer Ther 2021; 21:359-370. [PMID: 34911818 DOI: 10.1158/1535-7163.mct-21-0371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/11/2021] [Accepted: 12/13/2021] [Indexed: 11/16/2022]
Abstract
Patient-derived xenografts (PDXs) can adequately reflect clinical drug efficacy. However, the methods for evaluating drug efficacy are not fully established. We selected five non-small cell lung cancer (NSCLC) PDXs with genetic alterations from established PDXs and the corresponding molecular targeted therapy was administered orally for 21 consecutive days. Genetic analysis, measurement of drug concentrations in blood and tumors using liquid chromatography and tandem mass spectrometry, and analysis of drug distribution in tumors using matrix-assisted laser desorption/ionization mass spectrometry were performed. Fifteen (20%) PDXs were established using samples collected from 76 NSCLC patients with genetic alterations. The genetic alterations observed in original patients were largely maintained in PDXs. We compared the drug efficacy in original patients and PDX models; the efficacies against certain PDXs correlated with the clinical effects, while those against the others did not. We determined blood and intratumor concentrations in the PDX model, but both concentrations were low, and no evident correlation with the drug efficacy could be observed. The intratumoral spatial distribution of the drugs was both homogeneous and heterogeneous for each drug, and the distribution was independent of the expression of the target protein. The evaluation of drug efficacy in PDXs enabled partial reproduction of the therapeutic effect in original patients. A more detailed analysis of systemic and intratumoral pharmacokinetics may help clarify the mode of action of drugs. Further development of evaluation methods and indices to improve the prediction accuracy of clinical efficacy is warranted.
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Affiliation(s)
- Hitomi Jo
- Division of Molecular Pharmacology, National Cancer Center Research Institute
| | - Shigehiro Yagishita
- Division of Molecular Pharmacology, National Cancer Center Research Institute
| | - Yoshiharu Hayashi
- Division of Molecular Pharmacology, National Cancer Center Research Institute
| | - Shoraku Ryu
- Division of Molecular Pharmacology, National Cancer Center Research Institute
| | - Mikiko Suzuki
- Division of Molecular Pharmacology, National Cancer Center Research Institute
| | - Shinji Kohsaka
- Division of Cellular Signaling, National Cancer Center Research Institute
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Research Institute
| | | | | | - Yuichiro Ohe
- Department of Thoracic Oncology, National Cancer Center Hospital
| | | | - Noriko Motoi
- Department of Pathology, National Cancer Center Hospital
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital
| | | | | | - Akinobu Hamada
- Division of Molecular Pharmacology, National Cancer Center Research Institute
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Guo R, Zhou L, Chen X. Desorption electrospray ionization (DESI) source coupling ion mobility mass spectrometry for imaging fluoropezil (DC20) distribution in rat brain. Anal Bioanal Chem 2021; 413:5835-5847. [PMID: 34405263 DOI: 10.1007/s00216-021-03563-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/28/2021] [Accepted: 07/19/2021] [Indexed: 12/15/2022]
Abstract
Fluoropezil (DC20) is a new selective acetylcholinesterase inhibitor, and it was developed for the treatment of Alzheimer's disease patients. In this study, a desorption electrospray ionization source coupling ion mobility mass spectrometry imaging (DESI/IMS-MSI) method was developed to explore the distribution of DC20 in brain tissue following oral administration. Rat brain coronal slices obtained 1 h and 3 h following drug dosing were used in the study. D6-DC20 was used as internal standard and sprayed by matrix sprayer on the brain slices to calibrate the matrix effect. Ion mobility separation was used to reduce the interference from background noise and the biological matrix. By optimizing DESI-MSI parameters for improved sensitivity, the limit of quantitation of the method was 1.45 pg/mm2 with a linear range from 1.45 to 72.7 pg/mm2. DESI-MSI data showed that DC20 could quickly enter and diffuse across whole brain and tended to be much more enriched in striatum than cerebral cortex and hippocampus, which was consistent with quantitative analysis using high-performance liquid chromatography-electrospray tandem mass spectrometry to measure DC20 concentration in each homogenized brain sub-region. The workflow of tissue imaging method optimization and strategy were established, and for the first time, the DESI-MSI technique and optimized method were used to explore the distribution characteristics of DC20 in rat brain, which could help elucidate pharmacological effect mechanisms and improve clinical outcomes.
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Affiliation(s)
- Runcong Guo
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, No. 501 Haike Road, Shanghai, 201203, People's Republic of China.,University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, 100049, People's Republic of China
| | - Lei Zhou
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, No. 501 Haike Road, Shanghai, 201203, People's Republic of China
| | - Xiaoyan Chen
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, No. 501 Haike Road, Shanghai, 201203, People's Republic of China. .,University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, 100049, People's Republic of China.
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6
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Zhou H, Xu B, Xu J, Zhu G, Guo Y. Novel MRPS9-ALK Fusion Mutation in a Lung Adenocarcinoma Patient: A Case Report. Front Oncol 2021; 11:670907. [PMID: 34168990 PMCID: PMC8217641 DOI: 10.3389/fonc.2021.670907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/10/2021] [Indexed: 12/25/2022] Open
Abstract
Anaplastic lymphoma kinase (ALK) rearrangements account for approximately 5-6% of non-small-cell lung cancer (NSCLC) patients. In this study, a case of lung adenocarcinoma harboring a novel MRPS9-ALK fusion is reported. The patient responded well to the first and second generation of ALK-tyrosine kinase inhibitors (ALK-TKIs) (crizotinib then alectinib), as her imaging findings and clinical symptoms significantly improved. At last follow-up, over 21 months of overall survival (OS) has been achieved since ALK-TKI treatment. The progression-free survival (PFS) is already ten months since alectinib. The adverse effects were manageable. The case presented here provides first clinical evidence of the efficacy of ALK-TKIs in NSCLC patients with MRPS9-ALK fusion.
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Affiliation(s)
- Huamiao Zhou
- Department of Oncology, Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, China
| | - Binyue Xu
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jili Xu
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Guomeng Zhu
- Department of Oncology, Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, China
| | - Yong Guo
- Department of Oncology, Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, China
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Davoli E, Zucchetti M, Matteo C, Ubezio P, D'Incalci M, Morosi L. THE SPACE DIMENSION AT THE MICRO LEVEL: MASS SPECTROMETRY IMAGING OF DRUGS IN TISSUES. MASS SPECTROMETRY REVIEWS 2021; 40:201-214. [PMID: 32501572 DOI: 10.1002/mas.21633] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/24/2020] [Accepted: 04/29/2020] [Indexed: 06/11/2023]
Abstract
Mass spectrometry imaging (MSI) has seen remarkable development in recent years. The possibility of getting quantitative or semiquantitative data, while maintaining the spatial component in the tissues has opened up unique study possibilities. Now with a spatial window of few tens of microns, we can characterize the events occurring in tissue subcompartments in physiological and pathological conditions. For example, in oncology-especially in preclinical models-we can quantitatively measure drug distribution within tumors, correlating it with pharmacological treatments intended to modify it. We can also study the local effects of the drug in the tissue, and their effects in relation to histology. This review focuses on the main results in the field of drug MSI in clinical pharmacology, looking at the literature on the distribution of drugs in human tissues, and also the first preclinical evidence of drug intratissue effects. The main instrumental techniques are discussed, looking at the different instrumentation, sample preparation protocols, and raw data management employed to obtain the sensitivity required for these studies. Finally, we review the applications that describe in situ metabolic events and pathways induced by the drug, in animal models, showing that MSI makes it possible to study effects that go beyond the simple concentration of the drug, maintaining the space dimension. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Enrico Davoli
- Laboratory of Mass Spectrometry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Massimo Zucchetti
- Laboratory of Antitumoral Pharmacology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Cristina Matteo
- Laboratory of Antitumoral Pharmacology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Paolo Ubezio
- Laboratory of Antitumoral Pharmacology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Maurizio D'Incalci
- Laboratory of Antitumoral Pharmacology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Lavinia Morosi
- Laboratory of Antitumoral Pharmacology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
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8
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He Q, Sun C, Liu J, Pan Y. MALDI-MSI analysis of cancer drugs: Significance, advances, and applications. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Hayashi Y, Ohuchi M, Ryu S, Yagishita S, Hamada A. A procedure for method development and protein binding ratio as the indicator of sensitivity with anticancer agents on MALDI mass spectrometry imaging. Drug Metab Pharmacokinet 2021; 38:100385. [PMID: 33878680 DOI: 10.1016/j.dmpk.2021.100385] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 12/21/2020] [Accepted: 01/20/2021] [Indexed: 01/02/2023]
Abstract
The concentration and distribution of a drug and its metabolites in tissues are key factors for elucidating both drug efficacy and toxicity in drug development. In this study we developed a pharamaco-imaging procedure for 12 agents and investigated the relationship between the properties of target compounds and the sensitivities of detection in matrix-assisted laser desorption/ionization-mass spectrometer imaging (MALDI-MSI). We prepared mock samples with mouse liver homogenates diluted with gelatin solution, limit of detection concentrations of each compound was confirmed. The correlation was evaluated between the intensities of mass signals obtained in MALDI-MSI with each test compound (the intensities of the test compounds) at a consistent concentration and the properties of each test compound. The liver homogenate diluted with gelatin solution showed easier handling and lower coefficients of variation than did liver homogenate only, and can be used as a good surrogate matrix. Based on the analysis of 12 agents, the protein binding ratios showed significant correlation to the detection sensitivities. We presented a procedure for standardization of pharmaco-imaging method development with an in-tissue method using MALDI-MS. Our results indicated the correlation between test compound's sensitivity and their protein binding ratios in plasma or serum.
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Affiliation(s)
- Yoshiharu Hayashi
- Division of Molecular Pharmacology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan; Department of Medical Oncology and Translational Research, Graduate School of Medical and Pharmaceutical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan; Bioanalysis Research Department, CMIC Pharma Science Co., Ltd., 17-18 Nakahata-cho,Nishiwaki, Hyogo, 677-0032, Japan
| | - Mayu Ohuchi
- Division of Molecular Pharmacology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan; Department of Medical Oncology and Translational Research, Graduate School of Medical and Pharmaceutical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Shoraku Ryu
- Division of Molecular Pharmacology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Shigehiro Yagishita
- Division of Molecular Pharmacology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Akinobu Hamada
- Division of Molecular Pharmacology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan; Department of Medical Oncology and Translational Research, Graduate School of Medical and Pharmaceutical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
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Hamada A. [Drug Development Based on Intracellular Pharmacokinetic Analysis of Molecular Target Drug in Mice Bearing Patient-derived Xenograft Model]. YAKUGAKU ZASSHI 2020; 140:641-648. [PMID: 32378664 DOI: 10.1248/yakushi.19-00218-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Traditionally, anticancer drug discovery research has been conducted based on immortalized cancer cell lines, either cultured in vitro or grown in vivo. In the USA and Europe, patient derived xenograft (PDX) model is rapidly expelling traditional in vitro and in vivo models due to the good predictability of clinical outcome and its nature of retaining characteristics and heterogeneity in the original tumor. Furthermore, a significant association was also reported between drug responses in patient and corresponding PDX as high as 87%. We are preparing a PDX model for Japanese cancer patients including drug resistance examples and rare cancers. Using the established PDX model, we confirmed the possibility that the tumor microenvironment might affect the efficacy and distribution of drugs even if the target receptor is expressed in tumor sites as compared to the cell line (CDX) model, which has been widely used in drug discovery. Interestingly, although expressing a target receptor in viable tumor cells, we also have found a PDX model with a lower distribution of molecular target drug. Therefore we will evaluate the usefulness of the PDX model in drug development by exploring new biomarkers and elucidating the mechanisms of drug resistance in target tumors. Moreover, pharmaco-imaging system will allow us to visualize the exposure and distribution of drugs in tumors at macro and micro levels. Finally, we evaluate relations between distribution of drugs in the tumor microenvironment including target tumor cells, neovessels, stromal cells, immune cells, and fibroblasts.
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Affiliation(s)
- Akinobu Hamada
- Division of Molecular Pharmacology, National Cancer Center Research Institute
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Morosi L, Matteo C, Ceruti T, Giordano S, Ponzo M, Frapolli R, Zucchetti M, Davoli E, D'Incalci M, Ubezio P. Quantitative determination of niraparib and olaparib tumor distribution by mass spectrometry imaging. Int J Biol Sci 2020; 16:1363-1375. [PMID: 32210725 PMCID: PMC7085221 DOI: 10.7150/ijbs.41395] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 01/18/2020] [Indexed: 12/15/2022] Open
Abstract
Rationale: Optimal intratumor distribution of an anticancer drug is fundamental to reach an active concentration in neoplastic cells, ensuring the therapeutic effect. Determination of drug concentration in tumor homogenates by LC-MS/MS gives important information about this issue but the spatial information gets lost. Targeted mass spectrometry imaging (MSI) has great potential to visualize drug distribution in the different areas of tumor sections, with good spatial resolution and superior specificity. MSI is rapidly evolving as a quantitative technique to measure the absolute drug concentration in each single pixel. Methods: Different inorganic nanoparticles were tested as matrices to visualize the PARP inhibitors (PARPi) niraparib and olaparib. Normalization by deuterated internal standard and a custom preprocessing pipeline were applied to achieve a reliable single pixel quantification of the two drugs in human ovarian tumors from treated mice. Results: A quantitative method to visualize niraparib and olaparib in tumor tissue of treated mice was set up and validated regarding precision, accuracy, linearity, repeatability and limit of detection. The different tumor penetration of the two drugs was visualized by MSI and confirmed by LC-MS/MS, indicating the homogeneous distribution and higher tumor exposure reached by niraparib compared to olaparib. On the other hand, niraparib distribution was heterogeneous in an ovarian tumor model overexpressing the multidrug resistance protein P-gp, a possible cause of resistance to PARPi. Conclusions: The current work highlights for the first time quantitative distribution of PAPRi in tumor tissue. The different tumor distribution of niraparib and olaparib could have important clinical implications. These data confirm the validity of MSI for spatial quantitative measurement of drug distribution providing fundamental information for pharmacokinetic studies, drug discovery and the study of resistance mechanisms.
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Affiliation(s)
- Lavinia Morosi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Cristina Matteo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Tommaso Ceruti
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Silvia Giordano
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Laboratory of Mass Spectrometry
| | - Marianna Ponzo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Roberta Frapolli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Massimo Zucchetti
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Enrico Davoli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Laboratory of Mass Spectrometry
| | - Maurizio D'Incalci
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Paolo Ubezio
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
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12
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Ornell KJ, Coburn JM. Developing preclinical models of neuroblastoma: driving therapeutic testing. BMC Biomed Eng 2019; 1:33. [PMID: 32903387 PMCID: PMC7422585 DOI: 10.1186/s42490-019-0034-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 11/19/2019] [Indexed: 12/14/2022] Open
Abstract
Despite advances in cancer therapeutics, particularly in the area of immuno-oncology, successful treatment of neuroblastoma (NB) remains a challenge. NB is the most common cancer in infants under 1 year of age, and accounts for approximately 10% of all pediatric cancers. Currently, children with high-risk NB exhibit a survival rate of 40–50%. The heterogeneous nature of NB makes development of effective therapeutic strategies challenging. Many preclinical models attempt to mimic the tumor phenotype and tumor microenvironment. In vivo mouse models, in the form of genetic, syngeneic, and xenograft mice, are advantageous as they replicated the complex tumor-stroma interactions and represent the gold standard for preclinical therapeutic testing. Traditional in vitro models, while high throughput, exhibit many limitations. The emergence of new tissue engineered models has the potential to bridge the gap between in vitro and in vivo models for therapeutic testing. Therapeutics continue to evolve from traditional cytotoxic chemotherapies to biologically targeted therapies. These therapeutics act on both the tumor cells and other cells within the tumor microenvironment, making development of preclinical models that accurately reflect tumor heterogeneity more important than ever. In this review, we will discuss current in vitro and in vivo preclinical testing models, and their potential applications to therapeutic development.
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Affiliation(s)
- Kimberly J Ornell
- Department of Biomedical Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01605 USA
| | - Jeannine M Coburn
- Department of Biomedical Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01605 USA
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13
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Applications of MALDI mass spectrometry imaging for pharmacokinetic studies during drug development. Drug Metab Pharmacokinet 2019; 34:209-216. [DOI: 10.1016/j.dmpk.2019.04.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/14/2019] [Accepted: 04/19/2019] [Indexed: 12/23/2022]
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Precision pharmacology: Mass spectrometry imaging and pharmacokinetic drug resistance. Crit Rev Oncol Hematol 2019; 141:153-162. [PMID: 31302407 DOI: 10.1016/j.critrevonc.2019.06.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 06/08/2019] [Accepted: 06/13/2019] [Indexed: 12/27/2022] Open
Abstract
Failure of systemic cancer treatment can be, at least in part, due to the drug not being delivered to the tumour at sufficiently high concentration and/or sufficiently homogeneous distribution; this is termed as "pharmacokinetic drug resistance". To understand whether a drug is being adequately delivered to the tumour, "precision pharmacology" techniques are needed. Mass spectrometry imaging (MSI) is a relatively new and complex technique that allows imaging of drug distribution within tissues. In this review we address the applicability of MSI to the study of cancer drug distribution from the bench to the bedside. We address: (i) the role of MSI in pre-clinical studies to characterize anti-cancer drug distribution within the body and the tumour, (ii) the application of MSI in pre-clinical studies to define optimal drug dose or schedule, combinations or new drug delivery systems, and finally (iii) the emerging role of MSI in clinical research.
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15
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Ryu S, Hayashi M, Aikawa H, Okamoto I, Fujiwara Y, Hamada A. Heterogeneous distribution of alectinib in neuroblastoma xenografts revealed by matrix-assisted laser desorption ionization mass spectrometry imaging: a pilot study. Br J Pharmacol 2017; 175:29-37. [PMID: 29027209 DOI: 10.1111/bph.14067] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 08/07/2017] [Accepted: 09/27/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND AND PURPOSE The penetration of the anaplastic lymphoma kinase (ALK) inhibitor alectinib in neuroblastomas and the relationship between alectinib and ALK expression are unknown. The aim of this study was to perform a quantitative investigation of the inter- and intra-tumoural distribution of alectinib in different neuroblastoma xenograft models using matrix-assisted laser desorption ionization MS imaging (MALDI-MSI). EXPERIMENTAL APPROACH The distribution of alectinib in NB1 (ALK amplification) and SK-N-FI (ALK wild-type) xenograft tissues was analysed using MALDI-MSI. The abundance of alectinib in tumours and intra-tumoural areas was quantified using ion signal intensities from MALDI-MSI after normalization by correlation with LC-MS/MS. KEY RESULTS The distribution of alectinib was heterogeneous in neuroblastomas. The penetration of alectinib was not significantly different between ALK amplification and ALK wide-type tissues using both LC-MS/MS concentrations and MSI intensities. Normalization with an internal standard increased the quantitative property of MSI by adjusting for the ion suppression effect. The distribution of alectinib in different intra-tumoural areas can alternatively be quantified from MS images by correlation with LC-MS/MS. CONCLUSION AND IMPLICATIONS The penetration of alectinib into tumour tissues may not be homogenous or influenced by ALK expression in the early period after single-dose administration. MALDI-MSI may prove to be a valuable pharmaceutical method for elucidating the mechanism of action of drugs by clarifying their microscopic distribution in heterogeneous tissues.
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Affiliation(s)
- Shoraku Ryu
- Division of Molecular Pharmacology, National Cancer Center Research Institute, Tokyo, Japan.,Department of Pharmacology and Therapeutics, Fundamental Innovative Oncology Core, National Cancer Center Research Institute, Tokyo, Japan
| | - Mitsuhiro Hayashi
- Division of Molecular Pharmacology, National Cancer Center Research Institute, Tokyo, Japan.,Division of Clinical Pharmacology and Translational Research Exploratory Oncology Research and Clinical Trial Center National Cancer Center, Tokyo, Japan
| | - Hiroaki Aikawa
- Division of Molecular Pharmacology, National Cancer Center Research Institute, Tokyo, Japan.,Division of Clinical Pharmacology and Translational Research Exploratory Oncology Research and Clinical Trial Center National Cancer Center, Tokyo, Japan
| | - Isamu Okamoto
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Akinobu Hamada
- Division of Molecular Pharmacology, National Cancer Center Research Institute, Tokyo, Japan.,Division of Clinical Pharmacology and Translational Research Exploratory Oncology Research and Clinical Trial Center National Cancer Center, Tokyo, Japan.,Department of Pharmacology and Therapeutics, Fundamental Innovative Oncology Core, National Cancer Center Research Institute, Tokyo, Japan.,Department of Medical Oncology and Translational Research, Graduate school of Medical Sciences, Kumamoto University, Kumamoto, Japan
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