The DOI matches its Crossref record.
Quantitative and Mechanistic Understanding of AZD1775 Penetration across Human Blood–Brain Barrier in Glioblastoma Patients Using an IVIVE–PBPK Modeling Approach
Open accessPublished version of a preprint
Abstract
Abstract Purpose: AZD1775, a first-in-class, small-molecule inhibitor of the Wee1 tyrosine kinase, is under evaluation as a potential chemo- and radiosensitizer for treating glioblastoma. This study was to prospectively, quantitatively, and mechanistically investigate the penetration of AZD1775 across the human blood–brain barrier (BBB). Experimental Design: AZD1775 plasma and tumor pharmacokinetics were evaluated in 20 patients with glioblastoma. The drug metabolism, transcellular passive permeability, and interactions with efflux and uptake transporters were determined using human derived in vitro systems. A whole-body physiologically based pharmacokinetic (PBPK) model integrated with a four-compartment permeability-limited brain model was developed for predicting the kinetics of AZD1775 BBB penetration and assessing the factors modulating this process. Results: AZD1775 exhibited good tumor penetration in patients with glioblastoma, with the unbound tumor-to-plasma concentration ratio ranging from 1.3 to 24.4 (median, 3.2). It was a substrate for ABCB1, ABCG2, and OATP1A2, but not for OATP2B1 or OAT3. AZD1775 transcellular passive permeability and active efflux clearance across MDCKII–ABCB1 or MDCKII–ABCG2 cell monolayers were dependent on the basolateral pH. The PBPK model well predicted observed drug plasma and tumor concentrations in patients. The extent and rate of drug BBB penetration were influenced by BBB integrity, efflux and uptake active transporter activity, and drug binding to brain tissue. Conclusions: In the relatively acidic tumor microenvironment where ABCB1/ABCG2 transporter-mediated efflux clearance is reduced, OATP1A2-mediated active uptake becomes dominant, driving AZD1775 penetration into brain tumor. Variations in the brain tumor regional pH, transporter expression/activity, and BBB integrity collectively contribute to the heterogeneity of AZD1775 penetration into brain tumors. Clin Cancer Res; 23(24); 7454–66. ©2017 AACR. See related commentary by Peer et al., p. 7437
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
IVIVE is more physiologically relevant than AS because it incorporates physiological factors and includes the possibility to expand with mechanistic models.
“it is more physiologically relevant than AS, considering that IVIVE incorporates physiological factors and includes the possibility to expand with the mechanistic model [8,9].”
From Interpretation of Non-Clinical Data for Prediction of Human Pharmacokinetic Parameters: In Vitro-In Vivo Extrapolation and Allometric Scaling (2019) · cites this paper as [9]
The Introduction (page not provided) describes IVIVE–PBPK modeling as integrating drug-specific and physiological, system-specific parameters into a mechanistic model. The paper does not compare it with AS or establish that it is more physiologically relevant than AS. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 45
- Henderson, 2015, Blood-brain barrier: an impediment to neuropharmaceuticals, Clin Pharmacol Ther, 97, 308, 10.1002/cpt.77 · DOI
- Pardridge, 2012, Drug transport across the blood-brain barrier, J Cereb Blood Flow Metab, 32, 1959, 10.1038/jcbfm.2012.126 · DOI · Paper page
- Bronger, 2005, ABCC drug efflux pumps and organic anion uptake transporters in human gliomas and the blood-tumor barrier, Cancer Res, 65, 11419, 10.1158/0008-5472.CAN-05-1271 · DOI
- Miller, 2015, Regulation of ABC transporters at the blood-brain barrier, Clin Pharmacol Ther, 97, 395, 10.1002/cpt.64 · DOI
- Hammarlund-Udenaes, 2008, On the rate and extent of drug delivery to the brain, Pharm Res, 25, 1737, 10.1007/s11095-007-9502-2 · DOI
- de Lange, 2013, The mastermind approach to CNS drug therapy: translational prediction of human brain distribution, target site kinetics, and therapeutic effects, Fluids Barriers CNS, 10, 12, 10.1186/2045-8118-10-12 · DOI
- Yamamoto, 2017, Microdialysis: the key to physiologically based model prediction of human CNS target site concentrations, AAPS J, 19, 891, 10.1208/s12248-017-0050-3 · DOI
- Hirai, 2009, Small-molecule inhibition of Wee1 kinase by MK-1775 selectively sensitizes p53-deficient tumor cells to DNA-damaging agents, Mol Cancer Ther, 8, 2992, 10.1158/1535-7163.MCT-09-0463 · DOI · Paper page
- Parker, 1992, Inactivation of the p34cdc2-cyclin B complex by the human WEE1 tyrosine kinase, Science, 257, 1955, 10.1126/science.1384126 · DOI
- Watanabe, 1995, Regulation of the human WEE1Hu CDK tyrosine 15-kinase during the cell cycle, EMBO J, 14, 1878, 10.1002/j.1460-2075.1995.tb07180.x · DOI
- Beck, 2010, Regulators of cyclin-dependent kinases are crucial for maintaining genome integrity in S phase, J Cell Biol, 188, 629, 10.1083/jcb.200905059 · DOI
- De Witt Hamer, 2011, WEE1 kinase targeting combined with DNA-damaging cancer therapy catalyzes mitotic catastrophe, Clin Cancer Res, 17, 4200, 10.1158/1078-0432.CCR-10-2537 · DOI
- Kuerbitz, 1992, Wild-type p53 is a cell cycle checkpoint determinant following irradiation, Proc Natl Acad Sci U S A, 89, 7491, 10.1073/pnas.89.16.7491 · DOI
- Leijen, 2010, Abrogation of the G2 checkpoint by inhibition of Wee-1 kinase results in sensitization of p53-deficient tumor cells to DNA-damaging agents, Curr Clin Pharmacol, 5, 186, 10.2174/157488410791498824 · DOI
- Wu, 2016, An aqueous normal-phase chromatography coupled with tandem mass spectrometry method for determining unbound brain-to-plasma concentration ratio of AZD1775, a Wee1 kinase inhibitor, in patients with glioblastoma, J Chromatogr B Anal Technol Biomed Life Sci, 1028, 25, 10.1016/j.jchromb.2016.05.050 · DOI
- Gaohua, 2016, Development of a permeability-limited model of the human brain and cerebrospinal fluid (CSF) to integrate known physiological and biological knowledge: estimating time varying CSF drug concentrations and their variability using in vitro data, Drug Metab Pharmacokinet, 31, 224, 10.1016/j.dmpk.2016.03.005 · DOI
- Badhan, 2014, Development of a physiologically-based pharmacokinetic model of the rat central nervous system, Pharmaceutics, 6, 97, 10.3390/pharmaceutics6010097 · DOI
- Kalvass, 2007, Kinetic considerations for the quantitative assessment of efflux activity and inhibition: implications for understanding and predicting the effects of efflux inhibition, Pharm Res, 24, 265, 10.1007/s11095-006-9135-x · DOI
- Uchida, 2011, Quantitative targeted absolute proteomics of human blood-brain barrier transporters and receptors, J Neurochem, 117, 333, 10.1111/j.1471-4159.2011.07208.x · DOI · Paper page
- Neuhoff, 2003, pH-dependent bidirectional transport of weakly basic drugs across Caco-2 monolayers: implications for drug-drug interactions, Pharm Res, 20, 1141, 10.1023/A:1025032511040 · DOI
- Goda, 1996, Intracellular pH does not affect drug extrusion by P-glycoprotein, J Photochem Photobiol B Biol, 34, 177, 10.1016/1011-1344(95)07282-9 · DOI
- Altenberg, 1993, Changes in intra- or extracellular pH do not mediate P-glycoprotein-dependent multidrug resistance, Proc Natl Acad Sci U S A, 90, 9735, 10.1073/pnas.90.20.9735 · DOI
- Pokorny, 2015, The efficacy of the Wee1 inhibitor MK-1775 combined with temozolomide is limited by heterogeneous distribution across the blood-brain barrier in glioblastoma, Clin Cancer Res, 21, 1916, 10.1158/1078-0432.CCR-14-2588 · DOI
- Lee, 2005, Polymorphisms in human organic anion-transporting polypeptide 1A2 (OATP1A2): implications for altered drug disposition and central nervous system drug entry, J Biol Chem, 280, 9610, 10.1074/jbc.M411092200 · DOI
- Eechoute, 2011, Environmental and genetic factors affecting transport of imatinib by OATP1A2, Clin Pharmacol Ther, 89, 816, 10.1038/clpt.2011.42 · DOI
- van de Steeg, 2013, Influence of human OATP1B1, OATP1B3, and OATP1A2 on the pharmacokinetics of methotrexate and paclitaxel in humanized transgenic mice, Clin Cancer Res, 19, 821, 10.1158/1078-0432.CCR-12-2080 · DOI
- Shukla, 2011, Improving cancer chemotherapy with modulators of ABC drug transporters, Curr Drug Targets, 12, 621, 10.2174/138945011795378540 · DOI
- Park, 2007, Genetic polymorphisms in the ABCB1 gene and the effects of fentanyl in Koreans, Clin Pharmacol Ther, 81, 539, 10.1038/sj.clpt.6100046 · DOI
- Moriki, 2004, Involvement of P-glycoprotein in blood-brain barrier transport of pentazocine in rats using brain uptake index method, Biol Pharm Bull, 27, 932, 10.1248/bpb.27.932 · DOI
- Henthorn, 1999, Active transport of fentanyl by the blood-brain barrier, J Pharmacol Exp Ther, 289, 1084, 10.1016/S0022-3565(24)38239-4 · DOI
- Suzuki, 2002, Investigation on the influx transport mechanism of pentazocine at the blood-brain barrier in rats using the carotid injection technique, Biol Pharm Bull, 25, 1351, 10.1248/bpb.25.1351 · DOI
- Gerweck, 1996, Cellular pH gradient in tumor versus normal tissue: potential exploitation for the treatment of cancer, Cancer Res, 56, 1194
- Tannock, 1989, Acid pH in tumors and its potential for therapeutic exploitation, Cancer Res, 49, 4373
- Martin, 1994, Noninvasive measurement of interstitial pH profiles in normal and neoplastic tissue using fluorescence ratio imaging microscopy, Cancer Res, 54, 5670
- Bauer, 2016, Pilot PET study to assess the functional interplay between ABCB1 and ABCG2 at the human blood-brain barrier, Clin Pharmacol Ther, 100, 131, 10.1002/cpt.362 · DOI
- Zhou, 2015, Genetic polymorphisms and function of the organic anion-transporting polypeptide 1A2 and its clinical relevance in drug disposition, Pharmacology, 95, 201, 10.1159/000381313 · DOI
- Iida, 2001, Catalog of 258 single-nucleotide polymorphisms (SNPs) in genes encoding three organic anion transporters, three organic anion-transporting polypeptides, and three NADH:ubiquinone oxidoreductase flavoproteins, J Hum Genet, 46, 668, 10.1007/s100380170019 · DOI
- Badagnani, 2006, Interaction of methotrexate with organic-anion transporting polypeptide 1A2 and its genetic variants, J Pharmacol Exp Ther, 318, 521, 10.1124/jpet.106.104364 · DOI
- Lockman, 2010, Heterogeneous blood-tumor barrier permeability determines drug efficacy in experimental brain metastases of breast cancer, Clin Cancer Res, 16, 5664, 10.1158/1078-0432.CCR-10-1564 · DOI
- Gerstner, 2007, Increased permeability of the blood-brain barrier to chemotherapy in metastatic brain tumors: establishing a treatment paradigm, J Clin Oncol, 25, 2306, 10.1200/JCO.2006.10.0677 · DOI
- Ewing, 2006, Model selection in magnetic resonance imaging measurements of vascular permeability: Gadomer in a 9L model of rat cerebral tumor, J Cereb Blood Flow Metab, 26, 310, 10.1038/sj.jcbfm.9600189 · DOI
- Heye, 2014, Assessment of blood-brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review, Neuroimage Clin, 6, 262, 10.1016/j.nicl.2014.09.002 · DOI
- Liu, 2004, Development of a computational approach to predict blood-brain barrier permeability, Drug Metab Dispos, 32, 132, 10.1124/dmd.32.1.132 · DOI
- Leggas, 2004, Mrp4 confers resistance to topotecan and protects the brain from chemotherapy, Mol Cell Biol, 24, 7612, 10.1128/MCB.24.17.7612-7621.2004 · DOI
- Blakeley, 2009, Effect of blood brain barrier permeability in recurrent high grade gliomas on the intratumoral pharmacokinetics of methotrexate: a microdialysis study, J Neurooncol, 91, 51, 10.1007/s11060-008-9678-2 · DOI
Cited by
Sorted by citations
Choi, G.-W., Lee, Y.-B., & Cho, H.-Y. (2019) · Pharmaceutics · doi:10.3390/pharmaceutics11040168 · Cited by 79
“Although to project in vitro to in vivo data is difficult due to the complexity of the interdependent biological processes and their dynamic nature [7], it is more physiologically relevant than AS, considering that IVIVE incorporates physiological factors and includes the possibility to expand with the mechanistic mod…”
BackgroundLiang, J., Zhao, H., Diplas, B. H., Liu, S., Liu, J., Wang, D., Lu, Y., Zhu, Q., Wu, J., Wang, W., et al. (2020) · Cancer Research · doi:10.1158/0008-5472.can-18-3374 · Cited by 75
Self-citation
Metadata
- Authors
- Li, J., Wu, J., Bao, X., Honea, N., Xie, Y., Kim, S., Sparreboom, A., & Sanai, N.
- Affiliations
- Wayne State University (US)
- Barrow Neurological Institute (US)
- The Ohio State University (US)
- Corresponding author
- Li, Jing
- Sanai, Nader
- Venue
- Clinical Cancer Research
- Published
- 2017-12-14
- Volume
- 23
- Issue
- 24
- Pages
- 7454-7466
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC6097184
- OpenAlex
- W2754610420
- Cited by
- 68
- References
- 0
- Citations by year
- 2026: 11 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 11 · 2021: 13 · 2020: 6 · 2019: 6 · 2018: 2 · 2017: 1
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- United States Public Health Service (P30 CA022453)
- Topics
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
- Keywords
- AZD1775, glioblastoma, blood-brain barrier penetration, Wee1 kinase inhibitor, P-glycoprotein, ABCG2, OATP1A2, efflux pumps, tumor microenvironment pH, physiologically based pharmacokinetic modeling
- MeSH terms
- ATP Binding Cassette Transporter, Subfamily G, Member 2, Adult, Aged, Aged, 80 and over, Animals, Biological Transport, Blood-Brain Barrier, Dogs, Glioblastoma, Humans, Middle Aged, Neoplasm Proteins, Nuclear Proteins, Protein-Tyrosine Kinases, Pyrazoles, Pyrimidines, Pyrimidinones, Gene Expression Regulation, Neoplastic, ATP Binding Cassette Transporter, Subfamily B, Cell Cycle Proteins, Organic Anion Transporters, Tumor Microenvironment, Madin Darby Canine Kidney Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review