120 results on '"Thijssen, B."'
Search Results
2. Validation and clinical application of an LC-MS/MS method for the quantification of everolimus using volumetric absorptive microsampling
- Author
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Verheijen, R.B., Thijssen, B., Atrafi, F., Schellens, J.H.M., Rosing, H., de Vries, N., Beijnen, J.H., Mathijssen, R.H.J., Steeghs, N., and Huitema, A.D.R.
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- 2019
- Full Text
- View/download PDF
3. Targeting the RB-E2F pathway in breast cancer
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Johnson, J, Thijssen, B, McDermott, U, Garnett, M, Wessels, L F A, and Bernards, R
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- 2016
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4. 770P Neoadjuvant pembrolizumab in stage IV ovarian cancer: The phase II Neo-Pembro trial
- Author
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Aronson, L., Thijssen, B., Lopez-Yurda, M., Koole, S., van der Leest, P., León-Castillo, A., Harkes, R., Seignette, I., Sanders, J., Alkemade, M., Kemper, I., Holtkamp, M., Mandjes, I., Broeks, A., Lahaye, M., Rijlaarsdam, M., Van Den Broek, D., Horlings, H.M., van Driel, W., and Sonke, G.S.
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- 2024
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- View/download PDF
5. Development and validation of a high-performance liquid chromatography-tandem mass spectrometry assay for the quantification of Dexamphetamine in human plasma
- Author
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Herbrink, M., Thijssen, B., Hillebrand, M. J.X., Rosing, H., Schellens, J. H.M., Nuijen, B., and Beijnen, J. H.
- Published
- 2018
- Full Text
- View/download PDF
6. Development and validation of LC–MS/MS assays for the quantification of E7080 and metabolites in various human biological matrices
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Dubbelman, A.C., Rosing, H., Thijssen, B., Gebretensae, A., Lucas, L., Chen, H., Shumaker, R., Schellens, J.H.M., and Beijnen, J.H.
- Published
- 2012
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- View/download PDF
7. A highly sensitive bioanalytical method for the quantification of vinblastine, vincristine, vinorelbine and 4-O-deacetylvinorelbine in human plasma using LC-MS/MS
- Author
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van der Heijden, L.T., primary, Gebretensae, A., additional, Thijssen, B., additional, van Andel, L., additional, Nijstad, A.L., additional, Wang, Y., additional, Rosing, H., additional, Huitema, A.D.R., additional, and Beijnen, J.H., additional
- Published
- 2022
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- View/download PDF
8. A highly sensitive bioanalytical method for the quantification of vinblastine, vincristine, vinorelbine and 4-O-deacetylvinorelbine in human plasma using LC-MS/MS
- Author
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Cancer, Apotheek Onderzoek, Apotheek O&O&O, van der Heijden, L T, Gebretensae, A, Thijssen, B, van Andel, L, Nijstad, A L, Wang, Y, Rosing, H, Huitema, A D R, Beijnen, J H, Cancer, Apotheek Onderzoek, Apotheek O&O&O, van der Heijden, L T, Gebretensae, A, Thijssen, B, van Andel, L, Nijstad, A L, Wang, Y, Rosing, H, Huitema, A D R, and Beijnen, J H
- Published
- 2022
9. Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology
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Kramer, CJH, primary, Vreeswijk, MPG, additional, Thijssen, B, additional, Bosse, T, additional, and Wesseling, J, additional
- Published
- 2022
- Full Text
- View/download PDF
10. Phase I Study of Afatinib and Selumetinib in Patients with KRAS-Mutated Colorectal, Non-Small Cell Lung, and Pancreatic Cancer
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Brummelen, E.M.J. van, Huijberts, S., Herpen, C.M.L. van, Desar, I.M.E., Opdam, F., Geel, R. van, Marchetti, S., Steeghs, N., Monkhorst, K., Thijssen, B., Rosing, H., Huitema, A., Beijnen, J., Bernards, R., Schellens, J., Brummelen, E.M.J. van, Huijberts, S., Herpen, C.M.L. van, Desar, I.M.E., Opdam, F., Geel, R. van, Marchetti, S., Steeghs, N., Monkhorst, K., Thijssen, B., Rosing, H., Huitema, A., Beijnen, J., Bernards, R., and Schellens, J.
- Abstract
Item does not contain fulltext, LESSONS LEARNED: Afatinib and selumetinib can be combined in continuous and intermittent dosing schedules, albeit at lower doses than approved for monotherapy. Maximum tolerated dose for continuous and intermittent schedules is afatinib 20 mg once daily and selumetinib 25 mg b.i.d. Because the anticancer activity was limited, further development of this combination is not recommended until better biomarkers for response and resistance are defined. BACKGROUND: Antitumor effects of MEK inhibitors are limited in KRAS-mutated tumors because of feedback activation of upstream epidermal growth factor receptors, which reactivates the MAPK and the phosphoinositide 3-kinase-AKT pathway. Therefore, this phase I trial was initiated with the pan-HER inhibitor afatinib plus the MEK inhibitor selumetinib in patients with KRAS mutant, PIK3CA wild-type tumors. METHODS: Afatinib and selumetinib were administered according to a 3+3 design in continuous and intermittent schedules. The primary objective was safety, and the secondary objective was clinical efficacy. RESULTS: Twenty-six patients were enrolled with colorectal cancer (n = 19), non-small cell lung cancer (NSCLC) (n = 6), and pancreatic cancer (n = 1). Dose-limiting toxicities occurred in six patients, including grade 3 diarrhea, dehydration, decreased appetite, nausea, vomiting, and mucositis. The recommended phase II dose (RP2D) was 20 mg afatinib once daily (QD) and 25 mg selumetinib b.i.d. (21 days on/7 days off) for continuous afatinib dosing and for intermittent dosing with both drugs 5 days on/2 days off. Efficacy was limited with disease stabilization for 221 days in a patient with NSCLC as best response. CONCLUSION: Afatinib and selumetinib can be combined in continuous and intermittent schedules in patients with KRAS mutant tumors. Although target engagement was observed, the clinical efficacy was limited.
- Published
- 2021
11. Pilot Study to Predict Pharmacokinetics of a Therapeutic Gemcitabine Dose From a Microdose
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Van Nuland, M, Rosing, H, Thijssen, B, Burgers, J A, Huitema, A D R, Marchetti, S, Schellens, J H M, Beijnen, J H, Van Nuland, M, Rosing, H, Thijssen, B, Burgers, J A, Huitema, A D R, Marchetti, S, Schellens, J H M, and Beijnen, J H
- Abstract
Microdose studies are exploratory trials to determine early drug pharmacokinetics in humans. In this trial we examined whether the pharmacokinetics of gemcitabine at a therapeutic dose could be predicted from the pharmacokinetics of a microdose. In this prospective, open-label microdosing study, a gemcitabine microdose (100 µg) was given intravenously to participants on day 1, followed by a therapeutic dose (1250 mg/m2 ) on day 2. Gemcitabine and its metabolite 2',2'-difluorodeoxyuracil (dFdU) were quantified in plasma and intracellularly by using liquid chromatography-mass spectrometry). Noncompartmental pharmacokinetic analysis was performed. Ten patients participated in this study. The mean area under the plasma concentration-time curve (AUC0-8 ) of gemcitabine after microdosing was 0.00074 h·mg/L and after therapeutic dosing was 16 h·mg/L. The mean AUC0-8 of dFdU following the microdose and therapeutic dose were 0.022 h·mg/L and 169 h·mg/L, respectively. Exposure to gemcitabine after the therapeutic dose was within 2-fold of the exposure following a microdose, when linearly extrapolated to 1250 mg/m2 . However, the shape of the concentration-time curve was different, as reflected by poor scalability in volume of distribution (939 L versus 222 L). Furthermore, intracellularly phosphorylated gemcitabine and phosphorylated dFdU levels could not be predicted from the microdose. The AUC0-8 of gemcitabine at therapeutic dose was accurately predicted by the pharmacokinetics of a microdose, when linearly extrapolated to 1250 mg/m2 . Volume of distribution, elimination rate constant, and intracellular pharmacokinetics of the therapeutic dose could not be predicted from the microdose, which demonstrates limitations of the microdose approach in this case.
- Published
- 2020
12. Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference
- Author
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Thijssen, B. (author), Wessels, L.F.A. (author), Thijssen, B. (author), and Wessels, L.F.A. (author)
- Abstract
An important feature of Bayesian statistics is the opportunity to do sequential inference: The posterior distribution obtained after seeing a dataset can be used as prior for a second inference. However, when Monte Carlo sampling methods are used for inference, we only have a set of samples from the posterior distribution. To do sequential inference, we then either have to evaluate the second posterior at only these locations and reweight the samples accordingly, or we can estimate a functional description of the posterior probability distribution from the samples and use that as prior for the second inference. Here, we investigated to what extent we can obtain an accurate joint posterior from two datasets if the inference is done sequentially rather than jointly, under the condition that each inference step is done using Monte Carlo sampling. To test this, we evaluated the accuracy of kernel density estimates, Gaussian mixtures, mixtures of factor analyzers, vine copulas and Gaussian processes in approximating posterior distributions, and then tested whether these approximations can be used in sequential inference. In low dimensionality, Gaussian processes are more accurate, whereas in higher dimensionality Gaussian mixtures, mixtures of factor analyzers or vine copulas perform better. In our test cases of sequential inference, using posterior approximations gives more accurate results than direct sample reweighting, but joint inference is still preferable over sequential inference whenever possible. Since the performance is case-specific, we provide an R package mvdens with a unified interface for the density approximation methods., Pattern Recognition and Bioinformatics
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- 2020
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13. Pilot Study to Predict Pharmacokinetics of a Therapeutic Gemcitabine Dose From a Microdose
- Author
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Apotheek Onderzoek, Cancer, Van Nuland, M, Rosing, H, Thijssen, B, Burgers, J A, Huitema, A D R, Marchetti, S, Schellens, J H M, Beijnen, J H, Apotheek Onderzoek, Cancer, Van Nuland, M, Rosing, H, Thijssen, B, Burgers, J A, Huitema, A D R, Marchetti, S, Schellens, J H M, and Beijnen, J H
- Published
- 2020
14. Pilot Study to Predict Pharmacokinetics of a Therapeutic Gemcitabine Dose From a Microdose
- Author
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Van Nuland, M., primary, Rosing, H., additional, Thijssen, B., additional, Burgers, J.A., additional, Huitema, A.D.R., additional, Marchetti, S., additional, Schellens, J.H.M., additional, and Beijnen, J.H., additional
- Published
- 2020
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15. Phase I study of lapatinib and trametinib in patients with KRAS mutant colorectal, non-small cell lung and pancreatic cancer
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Huijberts, S C F A, primary, van Brummelen, E., additional, van Geel, R., additional, Opdam, F.L., additional, Marchetti, S., additional, Steeghs, N., additional, Pulleman, S., additional, Thijssen, B., additional, Rosing, H., additional, Monkhorst, K., additional, Huitema, A.D.R., additional, Beijnen, J.H., additional, Bernards, R., additional, and Schellens, J.H.M., additional
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- 2019
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16. Addition of an oral docetaxel treatment (ModraDoc006/r) to androgen deprivation therapy (ADT) and intensity-modulated radiation therapy (IMRT) in patients with high risk N+M0 prostate cancer
- Author
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Vermunt, M.A.C., primary, Janssen, J.M., additional, Vrijenhoek, G.L., additional, van der Poel, H.G., additional, Thijssen, B., additional, Beijnen, J.H., additional, and van Triest, B., additional
- Published
- 2019
- Full Text
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17. Validation and clinical application of an LC-MS/MS method for the quantification of everolimus using volumetric absorptive microsampling
- Author
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Verheijen, R. B., Thijssen, B., Atrafi, F., Schellens, J. H.M., Rosing, H., de Vries, N., Beijnen, J. H., Mathijssen, R. H.J., Steeghs, N., Huitema, A. D.R., Verheijen, R. B., Thijssen, B., Atrafi, F., Schellens, J. H.M., Rosing, H., de Vries, N., Beijnen, J. H., Mathijssen, R. H.J., Steeghs, N., and Huitema, A. D.R.
- Published
- 2019
18. Validation and clinical application of an LC-MS/MS method for the quantification of everolimus using volumetric absorptive microsampling
- Author
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Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Verheijen, R B, Thijssen, B, Atrafi, F, Schellens, J H M, Rosing, H, de Vries, N, Beijnen, J H, Mathijssen, R H J, Steeghs, N, Huitema, A D R, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Verheijen, R B, Thijssen, B, Atrafi, F, Schellens, J H M, Rosing, H, de Vries, N, Beijnen, J H, Mathijssen, R H J, Steeghs, N, and Huitema, A D R
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- 2019
19. Validation and clinical application of an LC-MS/MS method for the quantification of everolimus using volumetric absorptive microsampling
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UMC Utrecht, Apotheek Onderzoek, Verheijen, R. B., Thijssen, B., Atrafi, F., Schellens, J. H.M., Rosing, H., de Vries, N., Beijnen, J. H., Mathijssen, R. H.J., Steeghs, N., Huitema, A. D.R., UMC Utrecht, Apotheek Onderzoek, Verheijen, R. B., Thijssen, B., Atrafi, F., Schellens, J. H.M., Rosing, H., de Vries, N., Beijnen, J. H., Mathijssen, R. H.J., Steeghs, N., and Huitema, A. D.R.
- Published
- 2019
20. Integrative modeling of inhibitor response in breast cancer cells
- Author
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Thijssen, B., Wessels, L.F.A., and Delft University of Technology
- Abstract
Cancer patients often respond very differently to any given drug. Some patients respond very well, while others do not respond at all, leaving the cancer to grow unimpeded. If we have a good understanding of how this variability in response arises, we will be better able to choose the optimal treatment strategy for each patient. The variability in drug response observed in patients is also seen in cancer cell lines when they are cultured in vitro. Detailed cell-biological studies have revealed many different mechanisms which affect the response of cancer cells to anticancer drugs. Certain mutations can render cells sensitive to a certain drug, while other mutations, or changes in gene expression, can cause resistance. However, since any combination of these drug sensitivity mechanisms can be operating in a particular cell line, it is difficult to predict whether it will be sensitive or resistant to a particular drug. Computational modeling can be used to better understand this complexity. In this dissertation, we developed a novel method, which we call Inference of Signaling Activity, that can be used to infer the contributions of different drug sensitivity- and resistance mechanisms. We used the available knowledge of signal transduction in cells, and integrated multiple data types including mutations, gene amplifications and deletions, gene expression levels, protein phosphorylation, growth rates and drug response data to infer the signaling activities in each cell line. After an extensive characterization of thirty different breast cancer cell lines, we developed a model that can explain a large part of the variability in the response of these cell lines to seven different kinase inhibitors. At the same time, the response of some cell lines was not recapitulated exactly. Using further data-driven analysis, we found a novel determinant of mTOR inhibitor sensitivity. Overexpression of 4EBP1 in breast cancer cells renders them more sensitive to these inhibitors. This modeling approach can now be further developed to determine whether it can also be used to explain and predict the response of cancer patients. Initially this modeling framework did not permit the inclusion of feedback signaling mechanisms, even though we know feedback control to be an important feature of cellular signaling networks. We therefore subsequently extended our framework such that feedback could be included, and with this extension we were able to delineate signaling activities in regulatory networks with multiple, interrelated feedback loops, again taking into account different datasets. An important consideration in this dissertation was the quantification of uncertainty in model parameters, for which we used Bayesian statistics. If the uncertainty in parameter estimates is not taken into account, we can be lulled into a false sense of security and misinterpret which elements of the model are important. We developed a software package with efficient, multi-threaded implementations of various Monte Carlo sampling algorithms, which allowed the inference to be done in workable amounts of time. We further showed in a different biological system – cell cycle regulation in yeast – that the integration of different types of measurements can increase the identifiability of parameters. Finally, we investigated whether Bayesian inference with multiple datasets can be done sequentially using intermediate posterior approximations. Each of these contributions to Bayesian inference with multiple datasets may be used more broadly in modeling different biological systems. Although further development and validation of the drug response models is needed, the use of integrative computational modeling appears to be a promising approach for enabling precision medicine for cancer patients in the future.
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- 2018
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21. Development and validation of a high-performance liquid chromatography-tandem mass spectrometry assay for the quantification of Dexamphetamine in human plasma
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Herbrink, Maikel, Thijssen, B, Hillebrand, Michel J X, Rosing, H., Schellens, J H M, Nuijen, B., Beijnen, J H, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Afd Pharmacoepi & Clinical Pharmacology, and Pharmacoepidemiology and Clinical Pharmacology
- Subjects
Analyte ,Dextroamphetamine ,Clinical Biochemistry ,GLP ,Liquid-Liquid Extraction ,Pharmaceutical Science ,01 natural sciences ,Analytical Chemistry ,Clinical study ,03 medical and health sciences ,Plasma ,0302 clinical medicine ,Liquid chromatography–mass spectrometry ,Limit of Detection ,Tandem Mass Spectrometry ,Triple quadrupole mass spectrometry ,Drug Discovery ,Validation ,Humans ,Spectroscopy ,Chromatography, High Pressure Liquid ,Aqueous extract ,Chromatography ,Isocratic elution ,Chemistry ,HPLC-MS/MS ,010401 analytical chemistry ,Dexamphetamine ,Reproducibility of Results ,0104 chemical sciences ,Hplc ms ms ,Human plasma ,Calibration ,030217 neurology & neurosurgery - Abstract
Dexamphetamine is registered for the treatment of attention deficit hyperactivity disorder and narcolepsy. Current research has highlighted the possible application of dexamphetamine in the treatment of cocaine addiction. To support clinical pharmacologic trials a new simple, fast, and sensitive assay for the quantification of dexamphetamine in human plasma using liquid chromatography tandem mass spectrometry (LC-MS/MS) was developed. Additionally, it is the first reported LC-MS assay with these advantages to be fully validated according to current US FDA and EMA guidelines. Human plasma samples were collected on an outpatient basis and stored at nominally -20°C. The analyte and the internal standard (stable isotopically labeled dexamphetamine) were extracted using double liquid-liquid extraction (plasma-organic and organic-water) combined with snap-freezing. The aqueous extract was filtered and 2μL was injected on a C18-column with isocratic elution and analyzed with triple quadrupole mass spectrometry in positive ion mode. The validated concentration range was from 2.5-250ng/mL and the calibration model was linear. A weighting factor of 1 over the squared concentration was applied and correlation coefficients of 0.997 or better were obtained. At all concentrations the bias was within ±15% of the nominal concentrations and imprecision was ≤15%. All results were within the acceptance criteria of the latest US FDA guidance and EMA guidelines on method validation. In conclusion, the developed method to quantify dexamphetamine in human plasma was fit to support a clinical study with slow-release dexamphetamine.
- Published
- 2017
22. PO-467 Integrative modelling to understand and predict cancer drug response
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Jastrzebski, K., primary, Thijssen, B., additional, Majewski, I., additional, Mulder, L., additional, Ramshorst, M. Van, additional, Lips, E., additional, Sonke, G., additional, Wesseling, J., additional, Beijersbergen, R., additional, and Wessels, L., additional
- Published
- 2018
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23. Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates
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Thijssen, B., Dijkstra, T.M.H., Heskes, T., Wessels, L.F.A., Thijssen, B., Dijkstra, T.M.H., Heskes, T., and Wessels, L.F.A.
- Abstract
Contains fulltext : 189760.pdf (Publisher’s version ) (Open Access)
- Published
- 2018
24. Integrative modeling of inhibitor response in breast cancer cells
- Author
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Thijssen, B. (author) and Thijssen, B. (author)
- Abstract
Cancer patients often respond very differently to any given drug. Some patients respond very well, while others do not respond at all, leaving the cancer to grow unimpeded. If we have a good understanding of how this variability in response arises, we will be better able to choose the optimal treatment strategy for each patient. The variability in drug response observed in patients is also seen in cancer cell lines when they are cultured in vitro. Detailed cell-biological studies have revealed many different mechanisms which affect the response of cancer cells to anticancer drugs. Certain mutations can render cells sensitive to a certain drug, while other mutations, or changes in gene expression, can cause resistance. However, since any combination of these drug sensitivity mechanisms can be operating in a particular cell line, it is difficult to predict whether it will be sensitive or resistant to a particular drug. Computational modeling can be used to better understand this complexity. In this dissertation, we developed a novel method, which we call Inference of Signaling Activity, that can be used to infer the contributions of different drug sensitivity- and resistance mechanisms. We used the available knowledge of signal transduction in cells, and integrated multiple data types including mutations, gene amplifications and deletions, gene expression levels, protein phosphorylation, growth rates and drug response data to infer the signaling activities in each cell line. After an extensive characterization of thirty different breast cancer cell lines, we developed a model that can explain a large part of the variability in the response of these cell lines to seven different kinase inhibitors. At the same time, the response of some cell lines was not recapitulated exactly. Using further data-driven analysis, we found a novel determinant of mTOR inhibitor sensitivity. Overexpression of 4EBP1 in breast cancer cells renders them more sensitive to these inhibitors. Thi, Pattern Recognition and Bioinformatics
- Published
- 2018
25. Development and validation of a high-performance liquid chromatography-tandem mass spectrometry assay for the quantification of Dexamphetamine in human plasma
- Author
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Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Herbrink, Maikel, Thijssen, B, Hillebrand, Michel J X, Rosing, H., Schellens, J H M, Nuijen, B., Beijnen, J H, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Herbrink, Maikel, Thijssen, B, Hillebrand, Michel J X, Rosing, H., Schellens, J H M, Nuijen, B., and Beijnen, J H
- Published
- 2018
26. 899TiP - Addition of an oral docetaxel treatment (ModraDoc006/r) to androgen deprivation therapy (ADT) and intensity-modulated radiation therapy (IMRT) in patients with high risk N+M0 prostate cancer
- Author
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Vermunt, M.A.C., Janssen, J.M., Vrijenhoek, G.L., van der Poel, H.G., Thijssen, B., Beijnen, J.H., and van Triest, B.
- Published
- 2019
- Full Text
- View/download PDF
27. 473P - Phase I study of lapatinib and trametinib in patients with KRAS mutant colorectal, non-small cell lung and pancreatic cancer
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Huijberts, S C F A, van Brummelen, E., van Geel, R., Opdam, F.L., Marchetti, S., Steeghs, N., Pulleman, S., Thijssen, B., Rosing, H., Monkhorst, K., Huitema, A.D.R., Beijnen, J.H., Bernards, R., and Schellens, J.H.M.
- Published
- 2019
- Full Text
- View/download PDF
28. BCM: toolkit for Bayesian analysis of Computational Models using samplers
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Thijssen, B., Dijkstra, T.M.H., Heskes, T., Wessels, L.F.A., Thijssen, B., Dijkstra, T.M.H., Heskes, T., and Wessels, L.F.A.
- Abstract
Contains fulltext : 161382.pdf (publisher's version ) (Open Access)
- Published
- 2016
29. BMC: Toolkit for Bayesian analysis of Computational Models using samplers
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Thijssen, B. (author), Dijkstra, Tjeerd M.H. (author), Heskes, Tom (author), Wessels, L.F.A. (author), Thijssen, B. (author), Dijkstra, Tjeerd M.H. (author), Heskes, Tom (author), and Wessels, L.F.A. (author)
- Abstract
Background Computational models in biology are characterized by a large degree of uncertainty. This uncertainty can be analyzed with Bayesian statistics, however, the sampling algorithms that are frequently used for calculating Bayesian statistical estimates are computationally demanding, and each algorithm has unique advantages and disadvantages. It is typically unclear, before starting an analysis, which algorithm will perform well on a given computational model. Results We present BCM, a toolkit for the Bayesian analysis of Computational Models using samplers. It provides efficient, multithreaded implementations of eleven algorithms for sampling from posterior probability distributions and for calculating marginal likelihoods. BCM includes tools to simplify the process of model specification and scripts for visualizing the results. The flexible architecture allows it to be used on diverse types of biological computational models. In an example inference task using a model of the cell cycle based on ordinary differential equations, BCM is significantly more efficient than existing software packages, allowing more challenging inference problems to be solved. Conclusions BCM represents an efficient one-stop-shop for computational modelers wishing to use sampler-based Bayesian statistics., Pattern Recognition and Bioinformatics
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- 2016
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30. Validation of high-performance liquid chromatography–tandem mass spectrometry assays for the quantification of eribulin (E7389) in various biological matrices
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Dubbelman, A.C., Rosing, H., Thijssen, B., Lucas, L., Copalu, W., Wanders, J., Schellens, J.H.M., and Beijnen, J.H.
- Published
- 2011
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31. 91 4E-BP1 expression levels determine sensitivity of triple negative breast cancer cells to mTOR inhibitors
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Jastrzebski, K., primary, Thijssen, B., additional, Rodriguez, J. Vidal, additional, de Lint, K., additional, Lieftink, C., additional, Wessels, L.F., additional, and Beijersbergen, R.L., additional
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- 2014
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32. CREAtive ways: The art of looking sideways
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Meijer Timmerman Thijssen, B. (author) and Meijer Timmerman Thijssen, B. (author)
- Abstract
A design for a cultural center and a swimming pool designed at the Binnengasthuisterrein in Amsterdam, a former cloister and hospital. The design is a (happily naive) exploration of the possibility to reconstruct and elaborate on the delicate and unusual local urban condition., Interiors of Buildings and Cities, Architecture
- Published
- 2011
33. A novel self-microemulsifying formulation of paclitaxel for oral administration to patients with advanced cancer
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Veltkamp, S A, primary, Thijssen, B, additional, Garrigue, J S, additional, Lambert, G, additional, Lallemand, F, additional, Binlich, F, additional, Huitema, A D R, additional, Nuijen, B, additional, Nol, A, additional, Beijnen, J H, additional, and Schellens, J H M, additional
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- 2006
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34. Tumour microenvironment characterisation to stratify patients for hyperthermic intraperitoneal chemotherapy in high-grade serous ovarian cancer (OVHIPEC-1).
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Aronson SL, Walker C, Thijssen B, van de Vijver KK, Horlings HM, Sanders J, Alkemade M, Koole SN, Lopez-Yurda M, Lok CAR, Rottenberg S, van Rheenen J, Sonke GS, van Driel WJ, Kester LA, and Hahn K
- Subjects
- Aged, Female, Humans, Middle Aged, Cytoreduction Surgical Procedures, Macrophages pathology, Biomarkers, Tumor analysis, Biomarkers, Tumor genetics, Biomarkers, Tumor immunology, Cystadenocarcinoma, Serous pathology, Cystadenocarcinoma, Serous therapy, Cystadenocarcinoma, Serous drug therapy, Hyperthermic Intraperitoneal Chemotherapy, Ovarian Neoplasms drug therapy, Ovarian Neoplasms pathology, Ovarian Neoplasms therapy, Tumor Microenvironment
- Abstract
Background: Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial., Methods: Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models., Results: While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence., Conclusion: Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation., Clinical Trial Registration: NCT00426257., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2024
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35. B-cells and regulatory T-cells in the microenvironment of HER2+ breast cancer are associated with decreased survival: a real-world analysis of women with HER2+ metastatic breast cancer.
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Steenbruggen TG, Wolf DM, Campbell MJ, Sanders J, Cornelissen S, Thijssen B, Salgado RA, Yau C, O-Grady N, Basu A, Bhaskaran R, Mittempergher L, Hirst GL, Coppe JP, Kok M, Sonke GS, van 't Veer LJ, and Horlings HM
- Subjects
- Female, Humans, Receptor, ErbB-2 metabolism, T-Lymphocytes, Regulatory, Trastuzumab, Prognosis, Antineoplastic Combined Chemotherapy Protocols, Tumor Microenvironment, Breast Neoplasms pathology
- Abstract
Background: Despite major improvements in treatment of HER2-positive metastatic breast cancer (MBC), only few patients achieve complete remission and remain progression free for a prolonged time. The tumor immune microenvironment plays an important role in the response to treatment in HER2-positive breast cancer and could contain valuable prognostic information. Detailed information on the cancer-immune cell interactions in HER2-positive MBC is however still lacking. By characterizing the tumor immune microenvironment in patients with HER2-positive MBC, we aimed to get a better understanding why overall survival (OS) differs so widely and which alternative treatment approaches may improve outcome., Methods: We included all patients with HER2-positive MBC who were treated with trastuzumab-based palliative therapy in the Netherlands Cancer Institute between 2000 and 2014 and for whom pre-treatment tissue from the primary tumor or from metastases was available. Infiltrating immune cells and their spatial relationships to one another and to tumor cells were characterized by immunohistochemistry and multiplex immunofluorescence. We also evaluated immune signatures and other key pathways using next-generation RNA-sequencing data. With nine years median follow-up from initial diagnosis of MBC, we investigated the association between tumor and immune characteristics and outcome., Results: A total of 124 patients with 147 samples were included and evaluated. The different technologies showed high correlations between each other. T-cells were less prevalent in metastases compared to primary tumors, whereas B-cells and regulatory T-cells (Tregs) were comparable between primary tumors and metastases. Stromal tumor-infiltrating lymphocytes in general were not associated with OS. The infiltration of B-cells and Tregs in the primary tumor was associated with unfavorable OS. Four signatures classifying the extracellular matrix of primary tumors showed differential survival in the population as a whole., Conclusions: In a real-world cohort of 124 patients with HER2-positive MBC, B-cells, and Tregs in primary tumors are associated with unfavorable survival. With this paper, we provide a comprehensive insight in the tumor immune microenvironment that could guide further research into development of novel immunomodulatory strategies., (© 2023. BioMed Central Ltd., part of Springer Nature.)
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- 2023
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36. Characterization of the Tumor Microenvironment of De Novo Oligometastatic Breast Cancer in a Nationwide Cohort.
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Steenbruggen TG, Wolf DM, Thijssen B, Sanders J, Cornelissen S, Salgado R, Mittempergher L, Bhaskaran R, Broeks A, Lips EH, Siesling S, Sonke GS, Horlings HM, and van 't Veer LJ
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- Humans, Female, Tumor Microenvironment, High-Throughput Nucleotide Sequencing, Progression-Free Survival, RNA, Breast Neoplasms therapy
- Abstract
Purpose: Oligometastatic breast cancer (OMBC) has a more favorable outcome than widespread metastatic breast cancer. Some patients with OMBC achieve long-term remission if treated with multimodality therapy, including systemic and locally ablative therapies. However, not all patients with OMBC benefit from such treatment, while all experience toxicity. To explore biomarkers identifying patients with OMBC and potential long-term survival, we compared tumor-immune characteristics of patients with OMBC and long-term versus shorter-term survival., Materials and Methods: We collected tumor tissue of 97 patients with de novo OMBC (≤5 metastases) via the Dutch nationwide cancer and pathology registries using a case-control design. Long-term survivors (LTS) were defined as patients alive ≥10 years since OMBC diagnosis. Fifty-five LTS and 42 shorter-term survivors (STS) were included. Median follow-up was 15 years (IQR, 14-16). Tumor characteristics and infiltrating immune cells were assessed by immunohistochemistry and next-generation RNA-sequencing. Association of the resulting 52 biomarkers with long-term survival was assessed using logistic regression. Associations with survival within LTS were assessed using Cox-proportional hazards modeling. P values were adjusted for multiple hypothesis testing., Results: Most patients had estrogen receptor (ER)-positive OMBC (n = 86; 89%) and 23 (24%) had human epidermal growth factor receptor 2-positive disease. ER positivity in primary tumors distinguished LTS from STS. In addition, extracellular matrix (ECM)2-low and ECM4-high distinguished between long-term and shorter-term survival. Immune levels in the primary tumor did not associate with LTS. However, within the LTS subset, higher immune levels associated with improved progression-free survival., Conclusion: We identified tumor and ECM features in the primary tumor of patients with de novo OMBC that were associated with long-term survival. Our data should be validated in other patients with OMBC before they can be used in clinical practice.
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- 2023
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37. Extensive preclinical validation of combined RMC-4550 and LY3214996 supports clinical investigation for KRAS mutant pancreatic cancer.
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Frank KJ, Mulero-Sánchez A, Berninger A, Ruiz-Cañas L, Bosma A, Görgülü K, Wu N, Diakopoulos KN, Kaya-Aksoy E, Ruess DA, Kabacaoğlu D, Schmidt F, Kohlmann L, van Tellingen O, Thijssen B, van de Ven M, Proost N, Kossatz S, Weber WA, Sainz B Jr, Bernards R, Algül H, Lesina M, and Mainardi S
- Subjects
- Animals, Mice, Cell Line, Tumor, Protein Kinase Inhibitors pharmacology, Proto-Oncogene Proteins p21(ras) genetics, Clinical Trials as Topic, Carcinoma, Pancreatic Ductal drug therapy, Pancreatic Neoplasms drug therapy
- Abstract
Over 90% of pancreatic cancers present mutations in KRAS, one of the most common oncogenic drivers overall. Currently, most KRAS mutant isoforms cannot be targeted directly. Moreover, targeting single RAS downstream effectors induces adaptive resistance mechanisms. We report here on the combined inhibition of SHP2, upstream of KRAS, using the allosteric inhibitor RMC-4550 and of ERK, downstream of KRAS, using LY3214996. This combination shows synergistic anti-cancer activity in vitro, superior disruption of the MAPK pathway, and increased apoptosis induction compared with single-agent treatments. In vivo, we demonstrate good tolerability and efficacy of the combination, with significant tumor regression in multiple pancreatic ductal adenocarcinoma (PDAC) mouse models. Finally, we show evidence that
18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) can be used to assess early drug responses in animal models. Based on these results, we will investigate this drug combination in the SHP2 and ERK inhibition in pancreatic cancer (SHERPA; ClinicalTrials.gov: NCT04916236) clinical trial, enrolling patients with KRAS-mutant PDAC., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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38. Development and validation of an ultra-high performance liquid chromatography coupled to tandem mass spectrometry method for the quantification of the antileishmanial drug paromomycin in human skin tissue.
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Roseboom IC, Thijssen B, Rosing H, Alves F, Younis BM, Musa AM, Beijnen JH, and Dorlo TPC
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- Humans, Tandem Mass Spectrometry methods, Chromatography, High Pressure Liquid methods, Paromomycin therapeutic use, Reproducibility of Results, Leishmaniasis, Visceral drug therapy, Antiprotozoal Agents
- Abstract
Bioanalytical assay development and validation procedures were performed to quantify antiprotozoal drug paromomycin in human skin tissue by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. Paromomycin, an aminoglycoside drug, is administered intra-muscularly and used in the treatment of multiple clinical presentations of the neglected tropical disease leishmaniasis. It is currently studied in the treatment of post-kala-azar dermal leishmaniasis, a disease where the Leishmania parasites divide and reside in the skin. We present a target-site bioanalytical method to accurately quantify paromomycin in human skin tissue, with the clinical purpose of quantifying paromomycin in skin biopsies from post-kala-azar dermal leishmaniasis patients originating from Sudan. Enzymatic digestion using collagenase A incubated at 37 °C overnight was employed as homogenization method to produce skin tissue homogenates. Further sample preparation was performed by protein precipitation using trichloroacetic acid and a dilution step. Final extracts were injected onto a C18 analytical column and isocratic heptafluorobutyric acid ion-pair separation and elution were employed. The chromatography system was coupled to a triple quadrupole mass spectrometer for detection. The method was validated in digestion solution over a linear range from 5 to 1000 ng/mL (r
2 ≥ 0.9967) with the assay performance of accuracy and precision within acceptable criteria values as stated by the EMA guidelines. Furthermore, matrix effects were observed in human skin tissue and were corrected by the multiple deuterated paromomycin internal standard. No substantial IS-normalized matrix effect was detected along with relatively high sample preparation recovery. Consequently, digestion solution matrix serving as the preparation of calibration standards can be used as surrogate matrix for human skin tissue, which is convenient given the limited availability of control matrix. Finally, paromomycin was accurately quantified in skin of post-kala-azar dermal leishmaniasis patients originating from clinical trials in Sudan., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.)- Published
- 2022
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39. Comprehensive multiplexed immune profiling of the ductal carcinoma in situ immune microenvironment regarding subsequent ipsilateral invasive breast cancer risk.
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Almekinders MM, Bismeijer T, Kumar T, Yang F, Thijssen B, van der Linden R, van Rooijen C, Vonk S, Sun B, Parra Cuentas ER, Wistuba II, Krishnamurthy S, Visser LL, Seignette IM, Hofland I, Sanders J, Broeks A, Love JK, Menegaz B, Wessels L, Thompson AM, de Visser KE, Hooijberg E, Lips E, Futreal A, and Wesseling J
- Subjects
- Biomarkers, Tumor analysis, CD8-Positive T-Lymphocytes pathology, Female, Forkhead Transcription Factors, Humans, Ki-67 Antigen, Tumor Microenvironment, Breast Neoplasms pathology, Carcinoma, Ductal, Breast pathology, Carcinoma, Intraductal, Noninfiltrating pathology
- Abstract
Background: Ductal carcinoma in situ (DCIS) is treated to prevent subsequent ipsilateral invasive breast cancer (iIBC). However, many DCIS lesions will never become invasive. To prevent overtreatment, we need to distinguish harmless from potentially hazardous DCIS. We investigated whether the immune microenvironment (IME) in DCIS correlates with transition to iIBC., Methods: Patients were derived from a Dutch population-based cohort of 10,090 women with pure DCIS with a median follow-up time of 12 years. Density, composition and proximity to the closest DCIS cell of CD20
+ B-cells, CD3+ CD8+ T-cells, CD3+ CD8- T-cells, CD3+ FOXP3+ regulatory T-cells, CD68+ cells, and CD8+ Ki67+ T-cells was assessed with multiplex immunofluorescence (mIF) with digital whole-slide analysis and compared between primary DCIS lesions of 77 women with subsequent iIBC (cases) and 64 without (controls)., Results: Higher stromal density of analysed immune cell subsets was significantly associated with higher grade, ER negativity, HER-2 positivity, Ki67 ≥ 14%, periductal fibrosis and comedonecrosis (P < 0.05). Density, composition and proximity to the closest DCIS cell of all analysed immune cell subsets did not differ between cases and controls., Conclusion: IME features analysed by mIF in 141 patients from a well-annotated cohort of pure DCIS with long-term follow-up are no predictors of subsequent iIBC, but do correlate with other factors (grade, ER, HER2 status, Ki-67) known to be associated with invasive recurrences., (© 2022. The Author(s).)- Published
- 2022
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40. Development and validation of a high-performance liquid chromatography tandem mass spectrometry method for the quantification of the antiparasitic and antifungal drug amphotericin B in human skin tissue.
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Roseboom IC, Thijssen B, Rosing H, Alves F, Sundar S, Beijnen JH, and Dorlo TPC
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- Amphotericin B, Antifungal Agents, Antiparasitic Agents therapeutic use, Chromatography, High Pressure Liquid methods, Humans, Reproducibility of Results, Tandem Mass Spectrometry methods, Leishmaniasis drug therapy, Leishmaniasis, Visceral drug therapy
- Abstract
Amphotericin B is an antifungal and antiparasitic drug used in first-line treatment of the parasitic neglected tropical disease leishmaniasis. Liposomal amphotericin B is currently studied for the treatment of cutaneous and post-kala-azar dermal leishmaniasis, where the dermis of the skin is infected with Leishmania parasites. For the optimization of known treatment regimens, accurate target-site concentrations of the drug are required. To date, no assay was available to assess human skin concentrations of amphotericin B. We here present a bioanalytical assay for the quantification of amphotericin B in 4-mm human skin biopsies. Human skin biopsies were homogenized by overnight digestion using collagenase A and were processed afterwards by simple protein precipitation using methanol. Separation and detection were achieved using a Gemini C18 column with slightly acidic chromatographic conditions and a quadrupole - linear ion trap mass spectrometer, respectively. The method was validated in digestion solution over a range of 10-2,000 ng/mL using natamycin as internal standard, with a correlation coefficient (r
2 ) of at least 0.9974. The assay performance, accuracy and precision, were acceptable over the validated range, using international (EMA and FDA) acceptance criteria. In the skin tissue extracts, amphotericin B ion enhancement was observed, however, the internal standard (IS) corrected for this effect hence calibration standards in digestion solvent could be used as a surrogate matrix for the quantification in skin tissue. Sample preparation recoveries were low (around 27%) because of degradation of amphotericin B during digestion and sample preparation processes, albeit highly reproducible, without compromising the accuracy and precision of the method. Using this assay, amphotericin B could be detected and quantified in skin biopsies originating from treated Indian post-kala-azar dermal leishmaniasis patients., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2022
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41. Everolimus Concentration in Saliva to Predict Stomatitis: A Feasibility Study in Patients with Cancer.
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Molenaar-Kuijsten L, Verheijen RB, Jacobs BAW, Thijssen B, Rosing H, Dorlo TPC, Beijnen JH, Steeghs N, and Huitema ADR
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- Everolimus adverse effects, Feasibility Studies, Humans, Quality of Life, Saliva, Neoplasms drug therapy, Stomatitis chemically induced
- Abstract
Background: Most patients with cancer treated with everolimus experience stomatitis, which seriously affects the quality of life. The salivary concentrations of everolimus may predict the incidence and severity of stomatitis. The authors aimed to examine whether it was feasible to quantify the everolimus concentration in saliva and subsequently use it to predict stomatitis., Methods: Saliva and whole blood samples were taken from patients with cancer, who were treated with everolimus in the dosage of either 10 mg once a day or 5 mg twice a day. Everolimus concentrations in saliva samples were measured by liquid chromatography-tandem mass spectrometry. A published population pharmacokinetic model was extended with the everolimus concentration in saliva to assess any association between everolimus in the blood and saliva. Subsequently, the association between the occurrence of stomatitis and the everolimus concentration in saliva was studied., Results: Eleven patients were included in this study; saliva samples were available from 10 patients, including 3 patients with low-grade stomatitis. Everolimus concentrations were more than 100-fold lower in saliva than in whole blood (accumulation ratio 0.00801 and relative standard error 32.5%). Interindividual variability (67.7%) and residual unexplained variability (84.0%) were high. The salivary concentration of everolimus tended to be higher in patients with stomatitis, 1 hour postdose ( P = 0.14)., Conclusions: Quantification of the everolimus concentration in saliva was feasible and revealed a nonsignificant correlation between everolimus concentration in the saliva and the occurrence of stomatitis. If future research proves this relationship to be significant, the everolimus concentration in the saliva may be used as an early predictor of stomatitis without invasive sampling. Thereby, in patients with high salivary everolimus concentrations, precautions can be taken to decrease the incidence and severity of stomatitis., Competing Interests: J. H. Beijnen (partly) holds a patent on oral taxane formulations and is a part-time employee and stockholder of Modra Pharmaceuticals, a spin-out company developing oral taxanes. This is not related to the manuscript. N. Steeghs provided consultation or attended advisory boards for AIMM Therapeutics, Boehringer Ingelheim, and Ellipses Pharma and received research grants for the institute from AB Science, Abbvie, Actuate Therapeutics, Amgen, Array, AstraZeneca/MedImmune, Bayer, Blueprint Medicines, Boehringer Ingelheim, Bristol-Myers Squibb, Cantargia, Cytovation, Deciphera, Genentech/Roche, GlaxoSmithKline, Incyte, InteRNA, Lilly, Merck Sharp & Dohme, Merus, Novartis, Pfizer, Pierre Fabre, Roche, Sanofi, Taiho, and Takeda (outside the submitted work). R. B. Verheijen reports share ownership and employment at Johnson & Johnson, prior share ownership and employment at AstraZeneca, and share ownership of Galapagos and Chinook Tx (outside of the submitted work). The other authors declare no conflict of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2022
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42. Genetic and compound screens uncover factors modulating cancer cell response to indisulam.
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Pogacar Z, Groot K, Jochems F, Dos Santos Dias M, Mulero-Sánchez A, Morris B, Roosen M, Wardak L, De Conti G, Velds A, Lieftink C, Thijssen B, Beijersbergen RL, Bernards R, and Leite de Oliveira R
- Subjects
- Intracellular Signaling Peptides and Proteins, RNA Splicing Factors, Sulfonamides pharmacology, Antineoplastic Agents pharmacology, Neoplasms drug therapy, Neoplasms genetics
- Abstract
Discovering biomarkers of drug response and finding powerful drug combinations can support the reuse of previously abandoned cancer drugs in the clinic. Indisulam is an abandoned drug that acts as a molecular glue, inducing degradation of splicing factor RBM39 through interaction with CRL4
DCAF15 Here, we performed genetic and compound screens to uncover factors mediating indisulam sensitivity and resistance. First, a dropout CRISPR screen identified SRPK1 loss as a synthetic lethal interaction with indisulam that can be exploited therapeutically by the SRPK1 inhibitor SPHINX31. Moreover, a CRISPR resistance screen identified components of the degradation complex that mediate resistance to indisulam: DCAF15, DDA1, and CAND1. Last, we show that cancer cells readily acquire spontaneous resistance to indisulam. Upon acquiring indisulam resistance, pancreatic cancer (Panc10.05) cells still degrade RBM39 and are vulnerable to BCL-xL inhibition. The better understanding of the factors that influence the response to indisulam can assist rational reuse of this drug in the clinic., (© 2022 Pogacar et al.)- Published
- 2022
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43. Development and validation of an HPLC-MS/MS method for the quantification of the anti-leishmanial drug miltefosine in human skin tissue.
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Roseboom IC, Thijssen B, Rosing H, Alves F, Mondal D, Teunissen MBM, Beijnen JH, and Dorlo TPC
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- Chromatography, High Pressure Liquid, Humans, Phosphorylcholine analogs & derivatives, Reproducibility of Results, Tandem Mass Spectrometry, Antiprotozoal Agents, Leishmania, Pharmaceutical Preparations
- Abstract
Miltefosine is the only oral drug approved for the treatment of various clinical presentations of the neglected parasitic disease leishmaniasis. In cutaneous leishmaniasis and post-kala-azar dermal leishmaniasis, Leishmania parasites reside and multiply in the dermis of the skin. As miltefosine is orally administered and this drug is currently studied for the treatment of these skin-related types of leishmaniasis, there is an urgent need for an accurate assay to determine actual miltefosine levels in human skin tissue to further optimize treatment regimens through target-site pharmacokinetic studies. We describe here the development and validation of a sensitive method to quantify miltefosine in 4-mm human skin biopsies utilizing high-performance liquid chromatography coupled to tandem mass spectrometry. After the skin tissues were homogenized overnight by enzymatic digestion using collagenase A, the skin homogenates were further processed by protein precipitation and phenyl-bonded solid phase extraction. Final extracts were injected onto a Gemini C18 column using alkaline eluent for separation and elution. Detection was performed by positive ion electrospray ionization followed by a quadrupole - linear ion trap mass spectrometer, using deuterated miltefosine as an internal standard. The method was validated over a linear calibration range of 4-1000 ng/mL (r
2 ≥ 0.9996) using miltefosine spiked digestion solution for calibration and quality control samples. Validation parameters were all within internationally accepted criteria, including intra- and inter-assay accuracies and precisions within± 15% and ≤ 15% (within± 20% and ≤ 20% at the lower limit of quantitation). There was no significant matrix effect of the human skin tissue matrix and the recovery for miltefosine, and internal standard were comparable. Miltefosine in human skin tissue homogenates was stable during the homogenization incubation (37 °C,± 16 h) and after a minimum of 10 days of storage at - 20 °C after the homogenization process. With our assay we could successfully detect miltefosine in skin biopsies from patients with post-kala azar dermal leishmaniasis who were treated with this drug in Bangladesh., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest related to this study., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2022
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44. Intra-Tumoral Pharmacokinetics of Pazopanib in Combination with Radiotherapy in Patients with Non-Metastatic Soft-Tissue Sarcoma.
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Molenaar-Kuijsten L, van Meekeren M, Verheijen RB, Bovée JVMG, Fiocco M, Thijssen B, Rosing H, Huitema ADR, Miah AB, Gelderblom H, Haas RLM, and Steeghs N
- Abstract
There is a lack of understanding whether plasma levels of anticancer drugs (such as pazopanib) correlate with intra-tumoral levels and whether the plasma compartment is the best surrogate for pharmacokinetic and pharmacodynamic evaluation. Therefore, we aimed to quantify pazopanib concentrations in tumor tissue, to assess the correlation between tumor concentrations and plasma concentrations and between tumor concentrations and efficacy. In this clinical trial, non-metastatic STS patients were treated with neo-adjuvant concurrent radiotherapy and pazopanib. Plasma samples and tumor biopsies were collected, and pazopanib concentrations were measured using liquid chromatography-tandem mass spectrometry. Twenty-four evaluable patients were included. The median pazopanib tumor concentration was 19.2 µg/g (range 0.149-200 µg/g). A modest correlation was found between tumor concentrations and plasma levels of pazopanib ( ρ = 0.41, p = 0.049). No correlation was found between tumor concentrations and percentage of viable tumor cells ( p > 0.05); however, a trend towards less viable tumor cells in patients with high pazopanib concentrations in tumor tissue was observed in a categorical analysis. Possible explanations for the lack of correlation might be heterogeneity of the tumors and timing of the biopsy procedure.
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- 2021
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45. ModraDoc006, an oral docetaxel formulation in combination with ritonavir (ModraDoc006/r), in metastatic castration-resistant prostate cancer patients: A phase Ib study.
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Vermunt MAC, Robbrecht DGJ, Devriese LA, Janssen JM, Thijssen B, Keessen M, van Eijk M, Kessels R, Eskens FALM, Beijnen JH, Mehra N, and Bergman AM
- Subjects
- Administration, Oral, Aged, Aged, 80 and over, Antineoplastic Combined Chemotherapy Protocols adverse effects, Docetaxel adverse effects, Dose-Response Relationship, Drug, Drug Administration Schedule, Humans, Kallikreins blood, Male, Middle Aged, Neoplasm Grading, Prostate-Specific Antigen blood, Prostatic Neoplasms, Castration-Resistant blood, Prostatic Neoplasms, Castration-Resistant diagnosis, Ritonavir adverse effects, Treatment Outcome, Antineoplastic Combined Chemotherapy Protocols administration & dosage, Docetaxel administration & dosage, Prostatic Neoplasms, Castration-Resistant drug therapy, Ritonavir administration & dosage
- Abstract
Background: ModraDoc006 is an oral formulation of docetaxel, which is co-administered with the cytochrome P450 3A4 and P-glycoprotein inhibitor ritonavir (r): ModraDoc006/r. Weekly treatment with ModraDoc006/r had been evaluated in phase I trials in patients with different types of advanced solid tumors, but up to this point in time not in patients with metastatic castration-resistant prostate cancer (mCRPC)., Aim: We assessed safety and pharmacokinetics (PK) of ModraDoc006/r to establish the recommended phase 2 dose (RP2D) in patients with mCRPC., Methods: mCRPC patients, treatment naïve or following abiraterone or enzalutamide treatment, were included. Dose-escalation of ModraDoc006/r was based on safety and docetaxel PK. Antitumor activity was assessed by serum prostate-specific antigen (PSA) and radiological evaluation., Results: Cohort 1 (n = 5) received once weekly ModraDoc006 30 mg with ritonavir 100 mg in the morning, and ModraDoc006 20 mg with ritonavir 100 mg in the evening (30-20/100-100). The mean docetaxel area under the plasma concentration-time curve (mAUC0-inf) was 461 ng/mL × h with 1 dose limiting toxicity (DLT); grade 3 alanine transferase increase. In cohort 2 (n = 6, ModraDoc006/r 30-20/200-200), the mAUC0-inf was 1687 ng/mL × h with 2 DLTs; grade 3 diarrhea and mucositis. In cohort 3A (n = 6, ModraDoc006/r 30-20/200-100), the mAUC0-inf was 1517 ng/mL × h with 1 DLT; grade 3 diarrhea. In cohort 3B (n = 3, ModraDoc006/r 20-20/200-100), the mAUC0-inf was 558 ng/mL × h without DLTs. The mAUC0-inf exceeded estimated exposures of intravenous docetaxel in cohort 2 and 3A, was lower in cohort 1 and was in range in cohort 3B. PSA decreases of >50% occurred in 6/10 evaluable patients throughout the various cohorts. In five radiological evaluable patients, two confirmed partial responses were observed., Conclusion: The RP2D was established at weekly ModraDoc006/r 30-20/200-100. Observed PSA and radiological responses suggest promising clinical activity. These results have led to an ongoing randomized Phase 2b study, comparing weekly ModraDoc006/r with 3-weekly IV docetaxel in patients with mCRPC., (© 2021 The Authors. Cancer Reports published by Wiley Periodicals LLC.)
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- 2021
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46. The Cancer SENESCopedia: A delineation of cancer cell senescence.
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Jochems F, Thijssen B, De Conti G, Jansen R, Pogacar Z, Groot K, Wang L, Schepers A, Wang C, Jin H, Beijersbergen RL, Leite de Oliveira R, Wessels LFA, and Bernards R
- Subjects
- Aniline Compounds pharmacology, Azepines pharmacology, Cell Line, Tumor, Etoposide pharmacology, Gene Expression Regulation, Neoplastic drug effects, Humans, Neoplasms genetics, Pyrimidines pharmacology, Reproducibility of Results, Senescence-Associated Secretory Phenotype drug effects, Senescence-Associated Secretory Phenotype genetics, Senotherapeutics pharmacology, Sulfonamides pharmacology, Cellular Senescence drug effects, Neoplasms pathology
- Abstract
Cellular senescence is characterized as a stable proliferation arrest that can be triggered by multiple stresses. Most knowledge about senescent cells is obtained from studies in primary cells. However, senescence features may be different in cancer cells, since the pathways that are involved in senescence induction are often deregulated in cancer. We report here a comprehensive analysis of the transcriptome and senolytic responses in a panel of 13 cancer cell lines rendered senescent by two distinct compounds. We show that in cancer cells, the response to senolytic agents and the composition of the senescence-associated secretory phenotype are more influenced by the cell of origin than by the senescence trigger. Using machine learning, we establish the SENCAN gene expression classifier for the detection of senescence in cancer cell samples. The expression profiles and senescence classifier are available as an interactive online Cancer SENESCopedia., Competing Interests: Declaration of interests R.B. is the founder of the company Oncosence (https://www.oncosence.com), which aims to develop senescence-inducing and senolytic compounds to treat cancer. L.F.A.W. received research funding from Genmab BV., (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
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47. Phase I Study of Afatinib and Selumetinib in Patients with KRAS-Mutated Colorectal, Non-Small Cell Lung, and Pancreatic Cancer.
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van Brummelen EMJ, Huijberts S, van Herpen C, Desar I, Opdam F, van Geel R, Marchetti S, Steeghs N, Monkhorst K, Thijssen B, Rosing H, Huitema A, Beijnen J, Bernards R, and Schellens J
- Subjects
- Afatinib therapeutic use, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Benzimidazoles, Humans, Lung, Mutation, Phosphatidylinositol 3-Kinases, Protein Kinase Inhibitors adverse effects, Proto-Oncogene Proteins p21(ras) genetics, Carcinoma, Non-Small-Cell Lung drug therapy, Carcinoma, Non-Small-Cell Lung genetics, Colorectal Neoplasms drug therapy, Colorectal Neoplasms genetics, Lung Neoplasms drug therapy, Lung Neoplasms genetics, Pancreatic Neoplasms drug therapy
- Abstract
Lessons Learned: Afatinib and selumetinib can be combined in continuous and intermittent dosing schedules, albeit at lower doses than approved for monotherapy. Maximum tolerated dose for continuous and intermittent schedules is afatinib 20 mg once daily and selumetinib 25 mg b.i.d. Because the anticancer activity was limited, further development of this combination is not recommended until better biomarkers for response and resistance are defined., Background: Antitumor effects of MEK inhibitors are limited in KRAS-mutated tumors because of feedback activation of upstream epidermal growth factor receptors, which reactivates the MAPK and the phosphoinositide 3-kinase-AKT pathway. Therefore, this phase I trial was initiated with the pan-HER inhibitor afatinib plus the MEK inhibitor selumetinib in patients with KRAS mutant, PIK3CA wild-type tumors., Methods: Afatinib and selumetinib were administered according to a 3+3 design in continuous and intermittent schedules. The primary objective was safety, and the secondary objective was clinical efficacy., Results: Twenty-six patients were enrolled with colorectal cancer (n = 19), non-small cell lung cancer (NSCLC) (n = 6), and pancreatic cancer (n = 1). Dose-limiting toxicities occurred in six patients, including grade 3 diarrhea, dehydration, decreased appetite, nausea, vomiting, and mucositis. The recommended phase II dose (RP2D) was 20 mg afatinib once daily (QD) and 25 mg selumetinib b.i.d. (21 days on/7 days off) for continuous afatinib dosing and for intermittent dosing with both drugs 5 days on/2 days off. Efficacy was limited with disease stabilization for 221 days in a patient with NSCLC as best response., Conclusion: Afatinib and selumetinib can be combined in continuous and intermittent schedules in patients with KRAS mutant tumors. Although target engagement was observed, the clinical efficacy was limited., (© AlphaMed Press; the data published online to support this summary are the property of the authors.)
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- 2021
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48. Breast adipocyte size associates with ipsilateral invasive breast cancer risk after ductal carcinoma in situ.
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Almekinders MMM, Schaapveld M, Thijssen B, Visser LL, Bismeijer T, Sanders J, Isnaldi E, Hofland I, Mertz M, Wessels LFA, Broeks A, Hooijberg E, Zwart W, Lips EH, Desmedt C, and Wesseling J
- Abstract
Although ductal carcinoma in situ (DCIS) is a non-obligate precursor to ipsilateral invasive breast cancer (iIBC), most DCIS lesions remain indolent. Hence, overdiagnosis and overtreatment of DCIS is a major concern. There is an urgent need for prognostic markers that can distinguish harmless from potentially hazardous DCIS. We hypothesised that features of the breast adipose tissue may be associated with risk of subsequent iIBC. We performed a case-control study nested in a population-based DCIS cohort, consisting of 2658 women diagnosed with primary DCIS between 1989 and 2005, uniformly treated with breast conserving surgery (BCS) alone. We assessed breast adipose features with digital pathology (HALO
® , Indica Labs) and related these to iIBC risk in 108 women that developed subsequent iIBC (cases) and 168 women who did not (controls) by conditional logistic regression, accounting for clinicopathological and immunohistochemistry variables. Large breast adipocyte size was significantly associated with iIBC risk (odds ratio (OR) 2.75, 95% confidence interval (95% CI) = 1.25-6.05). High cyclooxygenase (COX)-2 protein expression in the DCIS cells was also associated with subsequent iIBC (OR 3.70 (95% CI = 1.59-8.64). DCIS with both high COX-2 expression and large breast adipocytes was associated with a 12-fold higher risk (OR 12.0, 95% CI = 3.10-46.3, P < 0.001) for subsequent iIBC compared with women with smaller adipocyte size and low COX-2 expression. Large breast adipocytes combined with high COX-2 expression in DCIS is associated with a high risk of subsequent iIBC. Besides COX-2, adipocyte size has the potential to improve clinical management in patients diagnosed with primary DCIS.- Published
- 2021
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49. Effect of Food on the Pharmacokinetics of the Oral Docetaxel Tablet Formulation ModraDoc006 Combined with Ritonavir (ModraDoc006/r) in Patients with Advanced Solid Tumours.
- Author
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Vermunt MAC, de Weger VA, Janssen JM, Lopez-Yurda MI, Keessen M, Thijssen B, Rosing H, Huitema ADR, Beijnen JH, and Marchetti S
- Subjects
- Administration, Oral, Aged, Antineoplastic Agents administration & dosage, Antineoplastic Agents adverse effects, Antineoplastic Agents blood, Area Under Curve, Cross-Over Studies, Cytochrome P-450 CYP3A Inhibitors administration & dosage, Cytochrome P-450 CYP3A Inhibitors adverse effects, Diarrhea chemically induced, Diet, High-Fat, Docetaxel administration & dosage, Docetaxel adverse effects, Docetaxel blood, Drug Combinations, Fasting, Fatigue chemically induced, Female, Food-Drug Interactions, Humans, Hypokalemia chemically induced, Male, Middle Aged, Ritonavir administration & dosage, Ritonavir adverse effects, Ritonavir blood, Tablets, Therapeutic Equivalency, Antineoplastic Agents pharmacokinetics, Cytochrome P-450 CYP3A Inhibitors pharmacokinetics, Docetaxel pharmacokinetics, Neoplasms drug therapy, Ritonavir pharmacokinetics
- Abstract
Introduction: ModraDoc006 is a novel docetaxel tablet formulation that is co-administrated with the cytochrome P450 3A4 and P-glycoprotein inhibitor ritonavir (r): ModraDoc006/r., Objectives: This study evaluated the effect of food consumed prior to administration of ModraDoc006/r on the pharmacokinetics of docetaxel and ritonavir., Methods: Patients with advanced solid tumours were enrolled in this randomized crossover study to receive ModraDoc006/r in a fasted state in week 1 and after a standardized high-fat meal in week 2 and vice versa. Pharmacokinetic sampling was conducted until 48 h after both study drug administrations. Docetaxel and ritonavir plasma concentrations were determined using liquid chromatography with tandem mass spectrometry. Safety was evaluated with the Common Terminology Criteria for Adverse Events, version 4.03., Results: In total, 16 patients completed the food-effect study. The geometric mean ratio (GMR) for the docetaxel area under the plasma concentration-time curve (AUC)
0-48 , AUC0-inf and maximum concentration (Cmax ) were 1.11 (90% confidence interval [CI] 0.93-1.33), 1.19 (90% CI 1.00-1.41) and 1.07 (90% CI 0.81-1.42) in fed versus fasted conditions, respectively. For the ritonavir Cmax , the GMR was 0.79 (90% CI 0.69-0.90), whereas the AUC0-48 and AUC0-inf were bioequivalent. The most frequent treatment-related toxicities were grade ≤ 2 diarrhoea and fatigue. Hypokalaemia was the only observed treatment-related grade 3 toxicity., Conclusions: The docetaxel and ritonavir exposure were not bioequivalent, as consumption of a high-fat meal prior to administration of ModraDoc006/r resulted in a slightly higher docetaxel exposure and lower ritonavir Cmax . Since docetaxel exposure is the only clinically relevant parameter in our patient population, the overall conclusion is that combined ModraDoc006 and ritonavir treatment may be slightly affected by concomitant intake of a high-fat meal. In view of the small effect, it is most likely that the intake of a light meal will not affect the systemic exposure to docetaxel. CLINICALTRIALS., Gov Identifier: NCT03147378, date of registration: May 10 2017.- Published
- 2021
- Full Text
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50. Cost-Neutral Optimization of Pazopanib Exposure by Splitting Intake Moments: A Prospective Pharmacokinetic Study in Cancer Patients.
- Author
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Groenland SL, van Eerden RAG, Verheijen RB, de Vries N, Thijssen B, Rosing H, Beijnen JH, Koolen SLW, Mathijssen RHJ, Huitema ADR, and Steeghs N
- Subjects
- Humans, Indazoles administration & dosage, Prospective Studies, Pyrimidines administration & dosage, Sulfonamides administration & dosage, Carcinoma, Renal Cell drug therapy, Indazoles pharmacokinetics, Kidney Neoplasms drug therapy, Pyrimidines pharmacokinetics, Sulfonamides pharmacokinetics
- Abstract
Background and Objective: Pazopanib is an oral tyrosine kinase inhibitor used in the treatment of renal cell carcinoma and soft-tissue sarcoma. At the approved dose of 800 mg once daily (QD), 16-20% of patients are being underdosed and at risk of decreased efficacy. This study aimed to show whether splitting intake moments, as a cost-neutral alternative to a dose increase, leads to an increased exposure., Methods: We performed a cross-over trial comparing the pharmacokinetics of pazopanib 800 mg QD with pazopanib 400 mg twice daily. Pharmacokinetic sampling was performed at steady-state for both dosing schedules., Results: Nine evaluable patients were included. At the 800 mg QD dosing schedule, median minimum plasma concentration (C
min ), area under the concentration-time curve from 0 to 24 h (AUC0-24h ), and maximum plasma concentration (Cmax ) were 23.2 mg/L (interquartile range 18.5-27.6), 773 mg h/L (557-1009), and 40.6 mg/L (36.4-56.4) compared with 41.6 mg/L (30.5-55.8, p = 0.004), 942 mg h/L (885-1419, p = 0.027), and 50.2 mg/L (46.8-72.5, p = 0.074) at 400 mg twice daily. One patient experienced a grade 3 event (i.e., diarrhea)., Conclusions: This study demonstrates that splitting intake moments of pazopanib leads to a 79% increase in Cmin , with acceptable tolerability. Therefore, this new dosing schedule offers a cost-neutral opportunity to optimize treatment in patients with low exposure., Clinical Trial Registration: NL6137 ( http://www.trialregister.nl ).- Published
- 2020
- Full Text
- View/download PDF
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