메뉴 건너뛰기




Volumn 21, Issue 2, 2015, Pages 220-232

Bringing model-based prediction to oncology clinical practice: A review of Pharmacometrics principles and applications

Author keywords

Biological and disease models; Computer simulations; Individualized medicine; Patient specific modeling

Indexed keywords

ANGIOPEPTIN; BEVACIZUMAB; CAPECITABINE; DIFLOMOTECAN; DOCETAXEL; ERLOTINIB; FLUOROURACIL; LENALIDOMIDE; MOTESANIB; SUNITINIB; VASCULOTROPIN 165; ANTINEOPLASTIC AGENT;

EID: 84957536145     PISSN: 10837159     EISSN: 1549490X     Source Type: Journal    
DOI: 10.1634/theoncologist.2015-0322     Document Type: Review
Times cited : (33)

References (92)
  • 2
    • 84878238854 scopus 로고    scopus 로고
    • Modelbased drug development: A rational approach to efficiently accelerate drug development
    • Milligan PA, Brown MJ, Marchant B et al. Modelbased drug development: A rational approach to efficiently accelerate drug development. Clin Pharmacol Ther 2013;93:502–514.
    • (2013) Clin Pharmacol Ther , vol.93 , pp. 502-514
    • Milligan, P.A.1    Brown, M.J.2    Marchant, B.3
  • 4
    • 84921685466 scopus 로고    scopus 로고
    • What happened to themodeling and simulation revolution?
    • Bonate PL. What happened to themodeling and simulation revolution? Clin Pharmacol Ther 2014; 96:416–417.
    • (2014) Clin Pharmacol Ther , vol.96 , pp. 416-417
    • Bonate, P.L.1
  • 5
    • 0019289897 scopus 로고
    • Evaluation of methods for estimating population pharmacokinetics parameters. I. Michaelis-Menten model: Routine clinical pharmacokinetic data
    • Sheiner LB, Beal SL. Evaluation of methods for estimating population pharmacokinetics parameters. I. Michaelis-Menten model: Routine clinical pharmacokinetic data. J Pharmacokinet Biopharm 1980;8:553–571.
    • (1980) J Pharmacokinet Biopharm , vol.8 , pp. 553-571
    • Sheiner, L.B.1    Beal, S.L.2
  • 6
    • 0019818766 scopus 로고
    • Evaluation of methods for estimating population pharmacokinetic parameters. II. Biexponential model and experimental pharmacokinetic data
    • Sheiner LB, Beal SL. Evaluation of methods for estimating population pharmacokinetic parameters. II. Biexponential model and experimental pharmacokinetic data. J Pharmacokinet Biopharm 1981;9:635–651.
    • (1981) J Pharmacokinet Biopharm , vol.9 , pp. 635-651
    • Sheiner, L.B.1    Beal, S.L.2
  • 7
    • 0020958779 scopus 로고
    • Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: Routine clinical pharmacokinetic data
    • Sheiner LB, Beal SL. Evaluation of methods for estimating population pharmacokinetic parameters. III. Monoexponential model: Routine clinical pharmacokinetic data. J Pharmacokinet Biopharm 1983;11:303–319.
    • (1983) J Pharmacokinet Biopharm , vol.11 , pp. 303-319
    • Sheiner, L.B.1    Beal, S.L.2
  • 8
    • 79951765993 scopus 로고    scopus 로고
    • Physiologicallybased pharmacokinetics in drug development and regulatory science
    • Rowland M, Peck C, Tucker G. Physiologicallybased pharmacokinetics in drug development and regulatory science. Annu Rev Pharmacol Toxicol 2011;51:45–73.
    • (2011) Annu Rev Pharmacol Toxicol , vol.51 , pp. 45-73
    • Rowland, M.1    Peck, C.2    Tucker, G.3
  • 9
    • 0034807893 scopus 로고    scopus 로고
    • A physiologically based pharmacokinetic analysis of capecitabine, a triple prodrug of 5-FU, in humans: The mechanism for tumor-selective accumulation of 5-FU
    • Tsukamoto Y, Kato Y, Ura M et al. A physiologically based pharmacokinetic analysis of capecitabine, a triple prodrug of 5-FU, in humans: The mechanism for tumor-selective accumulation of 5-FU. Pharm Res 2001;18:1190–1202.
    • (2001) Pharm Res , vol.18 , pp. 1190-1202
    • Tsukamoto, Y.1    Kato, Y.2    Ura, M.3
  • 11
    • 0020315441 scopus 로고
    • Kinetics of pharmacologic response
    • Holford NH, Sheiner LB. Kinetics of pharmacologic response. Pharmacol Ther 1982;16:143–166.
    • (1982) Pharmacol Ther , vol.16 , pp. 143-166
    • Holford, N.H.1    Sheiner, L.B.2
  • 12
    • 0027998106 scopus 로고
    • Pharmacologic target-mediated drug disposition
    • Levy G. Pharmacologic target-mediated drug disposition. Clin Pharmacol Ther 1994;56:248–252.
    • (1994) Clin Pharmacol Ther , vol.56 , pp. 248-252
    • Levy, G.1
  • 13
    • 84897933951 scopus 로고    scopus 로고
    • Mechanistic considerations for the use of monoclonal antibodies for cancer therapy
    • Glassman PM, Balthasar JP. Mechanistic considerations for the use of monoclonal antibodies for cancer therapy. Cancer Biol Med 2014;11:20–33.
    • (2014) Cancer Biol Med , vol.11 , pp. 20-33
    • Glassman, P.M.1    Balthasar, J.P.2
  • 14
    • 0035730322 scopus 로고    scopus 로고
    • JuskoWJ. General pharmacokinetic model for drugs exhibiting target-mediated drug disposition
    • Mager DE, JuskoWJ. General pharmacokinetic model for drugs exhibiting target-mediated drug disposition. J Pharmacokinet Pharmacodyn 2001; 28:507–532.
    • (2001) J Pharmacokinet Pharmacodyn , vol.28 , pp. 507-532
    • Mager, D.E.1
  • 15
    • 39149088612 scopus 로고    scopus 로고
    • Population pharmacokinetics of cetuximab in patients with squamous cell carcinoma of the head andneck
    • Dirks NL, Nolting A, Kovar A et al. Population pharmacokinetics of cetuximab in patients with squamous cell carcinoma of the head andneck. J Clin Pharmacol 2008;48:267–278.
    • (2008) J Clin Pharmacol , vol.48 , pp. 267-278
    • Dirks, N.L.1    Nolting, A.2    Kovar, A.3
  • 16
    • 84925463593 scopus 로고    scopus 로고
    • A pharmacokinetic binding model for bevacizumab and VEGF165 in colorectal cancer patients
    • Panoilia E, Schindler E, Samantas E et al. A pharmacokinetic binding model for bevacizumab and VEGF165 in colorectal cancer patients. Cancer Chemother Pharmacol 2015;75:791–803.
    • (2015) Cancer Chemother Pharmacol , vol.75 , pp. 791-803
    • Panoilia, E.1    Schindler, E.2    Samantas, E.3
  • 17
    • 84904642413 scopus 로고    scopus 로고
    • Pharmacological profiles of acute myeloid leukemia treatments in patient samples by automated flow cytometry: A bridge to individualized medicine
    • Bennett TA, Montesinos P, Moscardo F et al. Pharmacological profiles of acute myeloid leukemia treatments in patient samples by automated flow cytometry: A bridge to individualized medicine. Clin Lymphoma Myeloma Leuk 2014;14:305–318.
    • (2014) Clin Lymphoma Myeloma Leuk , vol.14 , pp. 305-318
    • Bennett, T.A.1    Montesinos, P.2    Moscardo, F.3
  • 18
    • 0033730929 scopus 로고    scopus 로고
    • Pharmacokinetic/pharmacodynamic modeling in drug research and development
    • Derendorf H, Lesko LJ, Chaikin P et al. Pharmacokinetic/pharmacodynamic modeling in drug research and development. J Clin Pharmacol 2000;40:1399–1418.
    • (2000) J Clin Pharmacol , vol.40 , pp. 1399-1418
    • Derendorf, H.1    Lesko, L.J.2    Chaikin, P.3
  • 19
    • 0035100888 scopus 로고    scopus 로고
    • Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
    • Atkinson AJ, Colburn WA, DeGruttola VG et al. Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework. Clin Pharmacol Ther 2001;69:89–95.
    • (2001) Clin Pharmacol Ther , vol.69 , pp. 89-95
    • Atkinson, A.J.1    Colburn, W.A.2    Degruttola, V.G.3
  • 20
    • 27944442853 scopus 로고    scopus 로고
    • Primer: An evidencebased approach to prognostic markers
    • Altman DG, Riley RD. Primer: An evidencebased approach to prognostic markers. Nat Clin Pract Oncol 2005;2:466–472.
    • (2005) Nat Clin Pract Oncol , vol.2 , pp. 466-472
    • Altman, D.G.1    Riley, R.D.2
  • 21
    • 31344435149 scopus 로고    scopus 로고
    • Dichotomizing continuous predictors inmultiple regression: A bad idea
    • Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors inmultiple regression: A bad idea. Stat Med 2006;25:127–141.
    • (2006) Stat Med , vol.25 , pp. 127-141
    • Royston, P.1    Altman, D.G.2    Sauerbrei, W.3
  • 22
    • 58149145635 scopus 로고    scopus 로고
    • Andridge RR.Validation of biomarker-based risk prediction models
    • Taylor JM, Ankerst DP, Andridge RR.Validation of biomarker-based risk prediction models. Clin Cancer Res 2008;14:5977–5983.
    • (2008) Clin Cancer Res , vol.14 , pp. 5977-5983
    • Taylor, J.M.1    Ankerst, D.P.2
  • 23
    • 84894154060 scopus 로고    scopus 로고
    • A critical review of the analytical approaches for circulating tumor biomarker kinetics during treatment
    • Almufti R, Wilbaux M, Oza A et al. A critical review of the analytical approaches for circulating tumor biomarker kinetics during treatment. Ann Oncol 2014;25:41–56.
    • (2014) Ann Oncol , vol.25 , pp. 41-56
    • Almufti, R.1    Wilbaux, M.2    Oza, A.3
  • 24
    • 0031890386 scopus 로고    scopus 로고
    • Characteristics of indirect pharmacodynamic models and applications to clinical drug responses
    • Sharma A, Jusko WJ. Characteristics of indirect pharmacodynamic models and applications to clinical drug responses. Br J Clin Pharmacol 1998; 45:229–239.
    • (1998) Br J Clin Pharmacol , vol.45 , pp. 229-239
    • Sharma, A.1    Jusko, W.J.2
  • 25
    • 84901647383 scopus 로고    scopus 로고
    • Dynamic modeling in ovarian cancer: An original approach linking early changes inmodeled longitudinal CA- 125 kinetics and survival to help decisions in early drug development
    • Wilbaux M, Hénin E, Oza A et al. Dynamic modeling in ovarian cancer: An original approach linking early changes inmodeled longitudinal CA- 125 kinetics and survival to help decisions in early drug development. Gynecol Oncol 2014; 133:460–466.
    • (2014) Gynecol Oncol , vol.133 , pp. 460-466
    • Wilbaux, M.1    Hénin, E.2    Oza, A.3
  • 26
    • 84899988808 scopus 로고    scopus 로고
    • A population pharmacodynamic model for lactate dehydrogenase and neuronspecific enolase to predict tumor progression in small cell lung cancer patients
    • Buil-Bruna N, López-Picazo JM, Moreno-Jiménez M et al. A population pharmacodynamic model for lactate dehydrogenase and neuronspecific enolase to predict tumor progression in small cell lung cancer patients. AAPS J 2014;16:609–619.
    • (2014) AAPS J , vol.16 , pp. 609-619
    • Buil-Bruna, N.1    López-Picazo, J.M.2    Moreno-Jiménez, M.3
  • 27
    • 84941738723 scopus 로고    scopus 로고
    • Early prediction of disease progression in small cell lung cancer: Toward model-based personalized medicine in oncology
    • Buil-Bruna N, Sahota T, López-Picazo JM et al. Early prediction of disease progression in small cell lung cancer: Toward model-based personalized medicine in oncology. Cancer Res 2015;75: 2416–2425.
    • (2015) Cancer Res , vol.75 , pp. 2416-2425
    • Buil-Bruna, N.1    Sahota, T.2    López-Picazo, J.M.3
  • 28
    • 84936743694 scopus 로고    scopus 로고
    • A joint model for the kinetics of CTC count and PSA concentration during treatment in metastatic castration-resistant prostate cancer
    • Wilbaux M, Tod M, De Bono J et al. A joint model for the kinetics of CTC count and PSA concentration during treatment in metastatic castration-resistant prostate cancer. CPT Pharmacometrics Syst Pharmacol 2015;4:277–285.
    • (2015) CPT Pharmacometrics Syst Pharmacol , vol.4 , pp. 277-285
    • Wilbaux, M.1    Tod, M.2    De Bono, J.3
  • 29
    • 79953066756 scopus 로고    scopus 로고
    • Pharmacodynamic biomarkers in model-based drug development in oncology
    • Keizer RJ, Schellens JHM, Beijnen JH et al. Pharmacodynamic biomarkers in model-based drug development in oncology. Curr Clin Pharmacol 2011;6:30–40.
    • (2011) Curr Clin Pharmacol , vol.6 , pp. 30-40
    • Keizer, R.J.1    Schellens, J.2    Beijnen, J.H.3
  • 30
    • 84878529600 scopus 로고    scopus 로고
    • Early prediction of treatment resistance in low-risk gestational trophoblastic neoplasia using population kinetic modelling of hCG measurements
    • You B, Harvey R, Henin E et al. Early prediction of treatment resistance in low-risk gestational trophoblastic neoplasia using population kinetic modelling of hCG measurements. Br J Cancer 2013; 108:1810–1816.
    • (2013) Br J Cancer , vol.108 , pp. 1810-1816
    • You, B.1    Harvey, R.2    Henin, E.3
  • 31
    • 84860506962 scopus 로고    scopus 로고
    • Reconsidering the paradigm of cancer immunotherapy by computationally aided real-time personalization
    • Kogan Y, Halevi-Tobias K, Elishmereni M et al. Reconsidering the paradigm of cancer immunotherapy by computationally aided real-time personalization. Cancer Res 2012;72:2218–2227.
    • (2012) Cancer Res , vol.72 , pp. 2218-2227
    • Kogan, Y.1    Halevi-Tobias, K.2    Elishmereni, M.3
  • 32
    • 78650111045 scopus 로고    scopus 로고
    • ElishmereniMet al. Predicting outcomes of prostate cancer immunotherapy by personalized mathematical models
    • Kronik N, Kogan Y, ElishmereniMet al. Predicting outcomes of prostate cancer immunotherapy by personalized mathematical models. PLoS One 2010; 5:e15482.
    • (2010) Plos One , vol.5
    • Kronik, N.1    Kogan, Y.2
  • 33
    • 84891800143 scopus 로고    scopus 로고
    • PKPD modeling of predictors for adverse effects and overall survival in sunitinib-treated patients with GIST
    • Hansson EK, Ma G, Amantea MA et al. PKPD modeling of predictors for adverse effects and overall survival in sunitinib-treated patients with GIST. CPT Pharmacometrics Syst Pharmacol 2013;2:e85.
    • (2013) CPT Pharmacometrics Syst Pharmacol , vol.2
    • Hansson, E.K.1    Ma, G.2    Amantea, M.A.3
  • 34
    • 84891785804 scopus 로고    scopus 로고
    • PKPD modeling of VEGF, sVEGFR-2, sVEGFR-3, and sKIT as predictors of tumor dynamics and overall survival following sunitinib treatment in GIST
    • Hansson EK, Amantea MA, Westwood P et al. PKPD modeling of VEGF, sVEGFR-2, sVEGFR-3, and sKIT as predictors of tumor dynamics and overall survival following sunitinib treatment in GIST. CPT Pharmacometrics Syst Pharmacol 2013;2:e84.
    • (2013) CPT Pharmacometrics Syst Pharmacol , vol.2
    • Hansson, E.K.1    Amantea, M.A.2    Westwood, P.3
  • 35
    • 84957603995 scopus 로고    scopus 로고
    • May 2007
    • FDA—Clinical Trial Endpoints for the Approval of Cancer Drugs and Biologics—May 2007. Available at http://www.fda.gov/downloads/Drugs/Guidances/ucm071590.pdf.
  • 36
    • 84988905874 scopus 로고    scopus 로고
    • Population pharmacokinetic-pharmacodynamic modelling in oncology: A tool for predicting clinical response
    • Bender BC, Schindler E, Friberg LE. Population pharmacokinetic-pharmacodynamic modelling in oncology: A tool for predicting clinical response. Br J Clin Pharmacol 2015;79:56–71.
    • (2015) Br J Clin Pharmacol , vol.79 , pp. 56-71
    • Bender, B.C.1    Schindler, E.2    Friberg, L.E.3
  • 37
    • 84902511572 scopus 로고    scopus 로고
    • A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis
    • Ribba B, Holford NH, Magni P et al. A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis. CPT Pharmacometrics Syst Pharmacol 2014; 3:e113.
    • (2014) CPT Pharmacometrics Syst Pharmacol , vol.3
    • Ribba, B.1    Holford, N.H.2    Magni, P.3
  • 38
    • 70249134646 scopus 로고    scopus 로고
    • Model-based prediction of phase III overall survival in colorectal canceronthe basis of phase II tumor dynamics
    • Claret L, Girard P, Hoff PM et al. Model-based prediction of phase III overall survival in colorectal canceronthe basis of phase II tumor dynamics. JClin Oncol 2009;27:4103–4108.
    • (2009) Jclin Oncol , vol.27 , pp. 4103-4108
    • Claret, L.1    Girard, P.2    Hoff, P.M.3
  • 39
    • 84957540084 scopus 로고    scopus 로고
    • Strategic Research Agenda, 2008/2011, Accessed September 12, 2015
    • Innovative Medicines Initiative. Strategic Research Agenda, 2008/2011. Available at http://www. imi.europa.eu/content/research-agenda. Accessed September 12, 2015.
  • 40
    • 84881185232 scopus 로고    scopus 로고
    • Drug and disease model resources: A consortium to create standards and tools to enhance model-based drug development
    • Harnisch L, Matthews I, Chard J et al. Drug and disease model resources: A consortium to create standards and tools to enhance model-based drug development. CPT Pharmacometrics Syst Pharmacol 2013;2:e34.
    • (2013) CPT Pharmacometrics Syst Pharmacol , vol.2
    • Harnisch, L.1    Matthews, I.2    Chard, J.3
  • 41
    • 57849117384 scopus 로고    scopus 로고
    • New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
    • Eisenhauer EA, Therasse P, Bogaerts J et al. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1). Eur J Cancer 2009;45:228–247.
    • (2009) Eur J Cancer , vol.45 , pp. 228-247
    • Eisenhauer, E.A.1    Therasse, P.2    Bogaerts, J.3
  • 42
    • 16544380415 scopus 로고    scopus 로고
    • Phase II studies of modern drugs directed against new targets: If you are fazed, too, then resist RECIST
    • Ratain MJ, Eckhardt SG. Phase II studies of modern drugs directed against new targets: If you are fazed, too, then resist RECIST. J Clin Oncol 2004; 22:4442–4445.
    • (2004) J Clin Oncol , vol.22 , pp. 4442-4445
    • Ratain, M.J.1    Eckhardt, S.G.2
  • 43
    • 84867495878 scopus 로고    scopus 로고
    • RECIST: No longer the sharpest tool in the oncology clinical trials toolbox—Point
    • discussion 5150
    • Sharma MR, Maitland ML, Ratain MJ. RECIST: No longer the sharpest tool in the oncology clinical trials toolbox—Point. Cancer Res 2012;72: 5145–5149; discussion 5150.
    • (2012) Cancer Res , vol.72 , pp. 5145-5149
    • Sharma, M.R.1    Maitland, M.L.2    Ratain, M.J.3
  • 44
    • 84908354848 scopus 로고    scopus 로고
    • Antiprogrammed-death-receptor-1 treatment with pembrolizumab in ipilimumab-refractory advanced melanoma: A randomised dose-comparison cohort of a phase 1 trial
    • Robert C, Ribas A, Wolchok JD et al. Antiprogrammed-death-receptor-1 treatment with pembrolizumab in ipilimumab-refractory advanced melanoma: A randomised dose-comparison cohort of a phase 1 trial. Lancet 2014;384:1109–1117.
    • (2014) Lancet , vol.384 , pp. 1109-1117
    • Robert, C.1    Ribas, A.2    Wolchok, J.D.3
  • 45
    • 28844471692 scopus 로고    scopus 로고
    • Tumoral and immunologic response after vaccination of melanoma patients with an ALVAC virus encoding MAGE antigens recognized by T cells
    • van Baren N, Bonnet MC, Dréno B et al. Tumoral and immunologic response after vaccination of melanoma patients with an ALVAC virus encoding MAGE antigens recognized by T cells. J Clin Oncol 2005;23:9008–9021.
    • (2005) J Clin Oncol , vol.23 , pp. 9008-9021
    • Van Baren, N.1    Bonnet, M.C.2    Dréno, B.3
  • 46
    • 27144514758 scopus 로고    scopus 로고
    • Phase 1/2 study of subcutaneous and intradermal immunization with a recombinant MAGE-3 protein in patients with detectable metastatic melanoma
    • Kruit WH, van Ojik HH, Brichard VG et al. Phase 1/2 study of subcutaneous and intradermal immunization with a recombinant MAGE-3 protein in patients with detectable metastatic melanoma. Int J Cancer 2005;117:596–604.
    • (2005) Int J Cancer , vol.117 , pp. 596-604
    • Kruit, W.H.1    Van Ojik, H.H.2    Brichard, V.G.3
  • 47
    • 67349182592 scopus 로고    scopus 로고
    • Therapeutic efficacy of ipilimumab, an anti-CTLA-4 monoclonal antibody, in patients with metastatic melanoma unresponsive to prior systemic treatments: Clinical and immunological evidence from three patient cases
    • Di Giacomo AM, Danielli R, Guidoboni M et al. Therapeutic efficacy of ipilimumab, an anti-CTLA-4 monoclonal antibody, in patients with metastatic melanoma unresponsive to prior systemic treatments: Clinical and immunological evidence from three patient cases. Cancer Immunol Immunother 2009;58:1297–1306.
    • (2009) Cancer Immunol Immunother , vol.58 , pp. 1297-1306
    • Di Giacomo, A.M.1    Danielli, R.2    Guidoboni, M.3
  • 48
    • 33745081884 scopus 로고    scopus 로고
    • Activity of subcutaneous interleukin-12 in AIDS-related Kaposi sarcoma
    • Little RF, Pluda JM, Wyvill KM et al. Activity of subcutaneous interleukin-12 in AIDS-related Kaposi sarcoma. Blood 2006;107:4650–4657.
    • (2006) Blood , vol.107 , pp. 4650-4657
    • Little, R.F.1    Pluda, J.M.2    Wyvill, K.M.3
  • 49
    • 84929572937 scopus 로고    scopus 로고
    • Nivolumab for metastatic renal cell carcinoma: Results of a randomized phase II trial
    • Motzer RJ, Rini BI, McDermott DF et al. Nivolumab for metastatic renal cell carcinoma: Results of a randomized phase II trial. J Clin Oncol 2015;33:1430–1437.
    • (2015) J Clin Oncol , vol.33 , pp. 1430-1437
    • Motzer, R.J.1    Rini, B.I.2    McDermott, D.F.3
  • 50
    • 0038402581 scopus 로고    scopus 로고
    • A joint model for nonlinear longitudinal data with informative dropout
    • Hu C, Sale ME. A joint model for nonlinear longitudinal data with informative dropout. J Pharmacokinet Pharmacodyn 2003;30:83–103.
    • (2003) J Pharmacokinet Pharmacodyn , vol.30 , pp. 83-103
    • Hu, C.1    Sale, M.E.2
  • 51
    • 0037115430 scopus 로고    scopus 로고
    • Model of chemotherapy-induced myelosuppression with parameter consistency across drugs
    • Friberg LE, Henningsson A, Maas H et al. Model of chemotherapy-induced myelosuppression with parameter consistency across drugs. J Clin Oncol 2002;20:4713–4721.
    • (2002) J Clin Oncol , vol.20 , pp. 4713-4721
    • Friberg, L.E.1    Henningsson, A.2    Maas, H.3
  • 52
    • 84859790996 scopus 로고    scopus 로고
    • The shape of the myelosuppression time profile is related to the probability of developing neutropenic fever in patients with docetaxel-induced grade IV neutropenia
    • Hansson EK, Friberg LE. The shape of the myelosuppression time profile is related to the probability of developing neutropenic fever in patients with docetaxel-induced grade IV neutropenia. Cancer Chemother Pharmacol 2012;69: 881–890.
    • (2012) Cancer Chemother Pharmacol , vol.69 , pp. 881-890
    • Hansson, E.K.1    Friberg, L.E.2
  • 53
    • 21044442985 scopus 로고    scopus 로고
    • Semi-physiological model describing the hematological toxicity of the anti-cancer agent indisulam
    • van Kesteren C, Zandvliet AS, Karlsson MO et al. Semi-physiological model describing the hematological toxicity of the anti-cancer agent indisulam. Invest New Drugs 2005;23:225–234.
    • (2005) Invest New Drugs , vol.23 , pp. 225-234
    • Van Kesteren, C.1    Zandvliet, A.S.2    Karlsson, M.O.3
  • 54
    • 30644478368 scopus 로고    scopus 로고
    • Clinical application of a semimechanistic-physiologic population PK/PD model for neutropenia following pemetrexed therapy
    • Latz JE, Rusthoven JJ, Karlsson MO et al. Clinical application of a semimechanistic-physiologic population PK/PD model for neutropenia following pemetrexed therapy. Cancer Chemother Pharmacol 2006;57:427–435.
    • (2006) Cancer Chemother Pharmacol , vol.57 , pp. 427-435
    • Latz, J.E.1    Rusthoven, J.J.2    Karlsson, M.O.3
  • 55
    • 77953775745 scopus 로고    scopus 로고
    • A semimechanisticmodel of CP-690,550-induced reduction in neutrophil counts in patients with rheumatoid arthritis
    • Gupta P, Friberg LE, Karlsson MO et al. A semimechanisticmodel of CP-690,550-induced reduction in neutrophil counts in patients with rheumatoid arthritis. J Clin Pharmacol 2010;50:679–687.
    • (2010) J Clin Pharmacol , vol.50 , pp. 679-687
    • Gupta, P.1    Friberg, L.E.2    Karlsson, M.O.3
  • 56
    • 35948943122 scopus 로고    scopus 로고
    • Population pharmacokinetics and pharmacodynamics of paclitaxel and carboplatin in ovarian cancer patients: A study by the European Organization for Research and Treatment of Cancer- Pharmacology and Molecular Mechanisms Group and New Drug Development Group
    • Joerger M, Huitema AD, Richel DJ et al. Population pharmacokinetics and pharmacodynamics of paclitaxel and carboplatin in ovarian cancer patients: A study by the European Organization for Research and Treatment of Cancer- Pharmacology and Molecular Mechanisms Group and New Drug Development Group. Clin Cancer Res 2007;13:6410–6418.
    • (2007) Clin Cancer Res , vol.13 , pp. 6410-6418
    • Joerger, M.1    Huitema, A.D.2    Richel, D.J.3
  • 57
    • 84862262408 scopus 로고    scopus 로고
    • A simultaneous analysis of the time-course of leukocytes and neutrophils following docetaxel administration using a semi-mechanistic myelosuppression model
    • Quartino AL, Friberg LE, Karlsson MO. A simultaneous analysis of the time-course of leukocytes and neutrophils following docetaxel administration using a semi-mechanistic myelosuppression model. Invest New Drugs 2012;30:833–845.
    • (2012) Invest New Drugs , vol.30 , pp. 833-845
    • Quartino, A.L.1    Friberg, L.E.2    Karlsson, M.O.3
  • 58
    • 53249131199 scopus 로고    scopus 로고
    • Pharmacokinetic/pharmacodynamic modeling and simulation of neutropenia during phase I development of liposome-entrapped paclitaxel
    • Fetterly GJ, Grasela TH, Sherman JW et al. Pharmacokinetic/pharmacodynamic modeling and simulation of neutropenia during phase I development of liposome-entrapped paclitaxel. Clin Cancer Res 2008;14:5856–5863.
    • (2008) Clin Cancer Res , vol.14 , pp. 5856-5863
    • Fetterly, G.J.1    Grasela, T.H.2    Sherman, J.W.3
  • 59
    • 14544270541 scopus 로고    scopus 로고
    • Model describing the relationship between pharmacokinetics and hematologic toxicity of the epirubicin-docetaxel regimen in breast cancer patients
    • Sandström M, Lindman H, Nygren P et al. Model describing the relationship between pharmacokinetics and hematologic toxicity of the epirubicin-docetaxel regimen in breast cancer patients. J Clin Oncol 2005;23:413–421.
    • (2005) J Clin Oncol , vol.23 , pp. 413-421
    • Sandström, M.1    Lindman, H.2    Nygren, P.3
  • 60
    • 77955877412 scopus 로고    scopus 로고
    • Semi-mechanistic population pharmacokinetic/pharmacodynamic model for neutropenia following therapy with the Plk-1 inhibitor BI 2536 and its application in clinical development
    • Soto E, Staab A, Tillmann C et al. Semi-mechanistic population pharmacokinetic/pharmacodynamic model for neutropenia following therapy with the Plk-1 inhibitor BI 2536 and its application in clinical development. Cancer Chemother Pharmacol 2010;66:785–795.
    • (2010) Cancer Chemother Pharmacol , vol.66 , pp. 785-795
    • Soto, E.1    Staab, A.2    Tillmann, C.3
  • 61
    • 10044237568 scopus 로고    scopus 로고
    • Mechanismbased models for topotecan-induced neutropenia
    • Léger F, Loos WJ, Bugat R et al. Mechanismbased models for topotecan-induced neutropenia. Clin Pharmacol Ther 2004;76:567–578.
    • (2004) Clin Pharmacol Ther , vol.76 , pp. 567-578
    • Léger, F.1    Loos, W.J.2    Bugat, R.3
  • 62
    • 84856077668 scopus 로고    scopus 로고
    • Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: Two case studies
    • Soto E, Keizer RJ, Troćoniz IF et al. Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: Two case studies. Invest New Drugs 2011; 29:984–995.
    • (2011) Invest New Drugs , vol.29 , pp. 984-995
    • Soto, E.1    Keizer, R.J.2    Troćoniz, I.F.3
  • 63
    • 84939451287 scopus 로고    scopus 로고
    • Semimechanistic cell-cycle type-based pharmacokinetic/pharmacodynamic model of chemotherapy-induced neutropenic effects of diflomotecan under different dosing schedules
    • Mangas-Sanjuan V, Buil-Bruna N, Garrido MJ et al. Semimechanistic cell-cycle type-based pharmacokinetic/pharmacodynamic model of chemotherapy-induced neutropenic effects of diflomotecan under different dosing schedules. J Pharmacol Exp Ther 2015;354:55–64.
    • (2015) J Pharmacol Exp Ther , vol.354 , pp. 55-64
    • Mangas-Sanjuan, V.1    Buil-Bruna, N.2    Garrido, M.J.3
  • 64
    • 33748748732 scopus 로고    scopus 로고
    • Development and evaluation of a population pharmacokinetic-pharmacodynamic model of darbepoetin alfa in patients with nonmyeloid malignancies undergoing multicycle chemotherapy
    • Agoram B, Heatherington AC, Gastonguay MR. Development and evaluation of a population pharmacokinetic-pharmacodynamic model of darbepoetin alfa in patients with nonmyeloid malignancies undergoing multicycle chemotherapy.AAPS J 2006;8:E552–E563.
    • (2006) AAPS J , vol.8 , pp. E552-E563
    • Agoram, B.1    Heatherington, A.C.2    Gastonguay, M.R.3
  • 65
    • 42149132719 scopus 로고    scopus 로고
    • Semimechanistic pharmacokinetic/pharmacodynamic model for hepatoprotective effect of dexamethasone on transient transaminitis after trabectedin (ET-743) treatment
    • Fetterly GJ, Owen JS, Stuyckens K et al. Semimechanistic pharmacokinetic/pharmacodynamic model for hepatoprotective effect of dexamethasone on transient transaminitis after trabectedin (ET-743) treatment. Cancer Chemother Pharmacol 2008;62:135–147.
    • (2008) Cancer Chemother Pharmacol , vol.62 , pp. 135-147
    • Fetterly, G.J.1    Owen, J.S.2    Stuyckens, K.3
  • 66
    • 77953033291 scopus 로고    scopus 로고
    • Relationship between exposure to sunitinib and efficacy and tolerability endpoints in patients with cancer: Results of a pharmacokinetic/pharmacodynamic meta-analysis
    • Houk BE, Bello CL, Poland B et al. Relationship between exposure to sunitinib and efficacy and tolerability endpoints in patients with cancer: Results of a pharmacokinetic/pharmacodynamic meta-analysis. Cancer Chemother Pharmacol 2010; 66:357–371.
    • (2010) Cancer Chemother Pharmacol , vol.66 , pp. 357-371
    • Houk, B.E.1    Bello, C.L.2    Poland, B.3
  • 67
    • 77956611236 scopus 로고    scopus 로고
    • A model of hypertension and proteinuria in cancer patients treated with the anti-angiogenic drug E 7080
    • Keizer RJ, Gupta A, Mac Gillavry MR et al. A model of hypertension and proteinuria in cancer patients treated with the anti-angiogenic drug E 7080. J Pharmacokinet Pharmacodyn 2010;37: 347–363.
    • (2010) J Pharmacokinet Pharmacodyn , vol.37 , pp. 347-363
    • Keizer, R.J.1    Gupta, A.2    Mac Gillavry, M.R.3
  • 68
    • 0036738120 scopus 로고    scopus 로고
    • Clinical pharmacokinetics of irinotecan and its metabolites in relation with diarrhea
    • Xie R, Mathijssen RH, Sparreboom A et al. Clinical pharmacokinetics of irinotecan and its metabolites in relation with diarrhea. Clin Pharmacol Ther 2002;72:265–275.
    • (2002) Clin Pharmacol Ther , vol.72 , pp. 265-275
    • Xie, R.1    Mathijssen, R.H.2    Sparreboom, A.3
  • 69
    • 84866552473 scopus 로고    scopus 로고
    • Population pharmacokinetic/pharmacodynamic modeling of drug-induced adverse effects of a novel homocamptothecin analog, elomotecan (BN80927), in a phase I dose finding study in patients with advanced solid tumors
    • Troćoniz IF, Cendros JM, Soto E et al. Population pharmacokinetic/pharmacodynamic modeling of drug-induced adverse effects of a novel homocamptothecin analog, elomotecan (BN80927), in a phase I dose finding study in patients with advanced solid tumors. Cancer Chemother Pharmacol 2012; 70:239–250.
    • (2012) Cancer Chemother Pharmacol , vol.70 , pp. 239-250
    • Troćoniz, I.F.1    Cendros, J.M.2    Soto, E.3
  • 70
    • 62649109804 scopus 로고    scopus 로고
    • A dynamic model of hand-and-foot syndrome in patients receiving capecitabine
    • Hénin E, You B, VanCutsem E et al. A dynamic model of hand-and-foot syndrome in patients receiving capecitabine. Clin Pharmacol Ther 2009; 85:418–425.
    • (2009) Clin Pharmacol Ther , vol.85 , pp. 418-425
    • Hénin, E.1    You, B.2    Vancutsem, E.3
  • 71
  • 73
    • 67651171223 scopus 로고    scopus 로고
    • Elucidation of relationship between tumor sizeand survival in nonsmall- cell lung cancer patients can aid early decision making in clinical drug development
    • Wang Y, Sung C, Dartois C et al. Elucidation of relationship between tumor sizeand survival in nonsmall- cell lung cancer patients can aid early decision making in clinical drug development. Clin Pharmacol Ther 2009;86:167–174.
    • (2009) Clin Pharmacol Ther , vol.86 , pp. 167-174
    • Wang, Y.1    Sung, C.2    Dartois, C.3
  • 74
    • 84904821834 scopus 로고    scopus 로고
    • The use of model based tumor-size metrics to predict survival
    • Ribba B, Holford N, Mentré F. The use of model based tumor-size metrics to predict survival. Clin Pharmacol Ther 2014;96:133–135.
    • (2014) Clin Pharmacol Ther , vol.96 , pp. 133-135
    • Ribba, B.1    Holford, N.2    Mentré, F.3
  • 75
    • 85019298445 scopus 로고    scopus 로고
    • Population PK/PD modelling of the biomarker and progressionfreesurvival effects of lanreotideautogel in patients with non-functioning gastroenteropancreatic neuroendocrine tumors
    • AccessedNovember24,2015
    • Buil-Bruna N, Dehez M, Manon A et al. Population PK/PD modelling of the biomarker and progressionfreesurvival effects of lanreotideautogel in patients with non-functioning gastroenteropancreatic neuroendocrine tumors. PAGE 2015;24: 3628a. Available at http://www. Page-Meeting.Org/?abstract53628.AccessedNovember24,2015.
    • (2015) PAGE , vol.24
    • Buil-Bruna, N.1    Dehez, M.2    Manon, A.3
  • 76
    • 84939999221 scopus 로고    scopus 로고
    • Nonlinear mixed-effect models for prostate-specific antigen kinetics and link with survival in the context of metastatic prostate cancer: A comparison by simulation of two-stage and joint approaches
    • Desmée S, Mentré F, Veyrat-Follet C et al. Nonlinear mixed-effect models for prostate-specific antigen kinetics and link with survival in the context of metastatic prostate cancer: a comparison by simulation of two-stage and joint approaches. AAPS J 2015;17:691–699.
    • (2015) AAPS J , vol.17 , pp. 691-699
    • Desmée, S.1    Mentré, F.2    Veyrat-Follet, C.3
  • 77
    • 47049112936 scopus 로고    scopus 로고
    • Population pharmacokinetics and pharmacodynamics for treatment optimization in clinical oncology
    • Zandvliet AS, Schellens JH, Beijnen JH et al. Population pharmacokinetics and pharmacodynamics for treatment optimization in clinical oncology. Clin Pharmacokinet 2008;47:487–513.
    • (2008) Clin Pharmacokinet , vol.47 , pp. 487-513
    • Zandvliet, A.S.1    Schellens, J.H.2    Beijnen, J.H.3
  • 78
    • 33846334827 scopus 로고    scopus 로고
    • Modelling response time profiles in the absence of drug concentrations: Definition and performance evaluation of the K-PD model
    • Jacqmin P, Snoeck E, van Schaick EA et al. Modelling response time profiles in the absence of drug concentrations: Definition and performance evaluation of the K-PD model. J Pharmacokinet Pharmacodyn 2007;34:57–85.
    • (2007) J Pharmacokinet Pharmacodyn , vol.34 , pp. 57-85
    • Jacqmin, P.1    Snoeck, E.2    Van Schaick, E.A.3
  • 81
    • 0034520354 scopus 로고    scopus 로고
    • Clinical trial simulation of docetaxel in patients with cancer as a tool for dosage optimization
    • Veyrat-Follet C, Bruno R, Olivares R et al. Clinical trial simulation of docetaxel in patients with cancer as a tool for dosage optimization. Clin Pharmacol Ther 2000;68:677–687.
    • (2000) Clin Pharmacol Ther , vol.68 , pp. 677-687
    • Veyrat-Follet, C.1    Bruno, R.2    Olivares, R.3
  • 82
    • 78149412952 scopus 로고    scopus 로고
    • Development of a modeling framework to simulate efficacy endpoints for motesanib in patients with thyroid cancer
    • Claret L, Lu JF, Sun YN et al. Development of a modeling framework to simulate efficacy endpoints for motesanib in patients with thyroid cancer. Cancer Chemother Pharmacol 2010;66:1141–1149.
    • (2010) Cancer Chemother Pharmacol , vol.66 , pp. 1141-1149
    • Claret, L.1    Lu, J.F.2    Sun, Y.N.3
  • 83
    • 84875453552 scopus 로고    scopus 로고
    • ZakiMet al. Simulation of clinical outcome for pomalidomide plus low-dose dexamethasone in patients with refractory multiple myeloma based on week 8 M-protein response
    • Bruno R, Jonsson F, ZakiMet al. Simulation of clinical outcome for pomalidomide plus low-dose dexamethasone in patients with refractory multiple myeloma based on week 8 M-protein response. Blood 2011;118:1881a.
    • (2011) Blood , vol.118
    • Bruno, R.1    Jonsson, F.2
  • 84
    • 84995739948 scopus 로고    scopus 로고
    • Modeling sunitinib and biomarker response as potentialpredictors of time to progression in patients with metastatic colorectal cancer
    • Abstract 52354. Accessed November 25, 2015
    • Kanefendt F, Lindauer A, Kinzig M et al. Modeling sunitinib and biomarker response as potentialpredictors of time to progression in patients with metastatic colorectal cancer. PAGE 2012;21: 2354a. Available at http://www.Page-Meeting.Org/? Abstract 52354. Accessed November 25, 2015.
    • (2012) PAGE , vol.21
    • Kanefendt, F.1    Lindauer, A.2    Kinzig, M.3
  • 85
    • 85019302866 scopus 로고    scopus 로고
    • PKPD-modeling of standard uptake value (SUV) in gastro-intestinal stromal tumors (GIST) patients treated with sunitinib
    • Accessed November 25, 2015
    • E. Schindler P, Westwood M, Amantea EK et al. PKPD-modeling of standard uptake value (SUV) in gastro-intestinal stromal tumors (GIST) patients treated with sunitinib. PAGE 2012;21: 2595a. Available at http://www.Page-Meeting. Org/?Abstract 52595. Accessed November 25, 2015.
    • (2012) PAGE , vol.21
    • Schindler, E.1    Westwood, M.2    Amantea, E.K.3
  • 86
    • 84867879434 scopus 로고    scopus 로고
    • Simulations usinga drug-diseasemodeling framework and phase II data predict phase III survival outcome in first-line nonsmall-cell lung cancer
    • Claret L, Lu JF, Bruno R et al. Simulations usinga drug-diseasemodeling framework and phase II data predict phase III survival outcome in first-line nonsmall-cell lung cancer. Clin Pharmacol Ther 2012;92: 631–634.
    • (2012) Clin Pharmacol Ther , vol.92 , pp. 631-634
    • Claret, L.1    Lu, J.F.2    Bruno, R.3
  • 87
    • 84881212890 scopus 로고    scopus 로고
    • Simulations to assess phase II noninferiority trials of different doses of capecitabine in combination with docetaxel for metastatic breast cancer
    • Bruno R, Lindbom L, Schaedeli Stark F et al. Simulations to assess phase II noninferiority trials of different doses of capecitabine in combination with docetaxel for metastatic breast cancer. CPT Pharmacometrics Syst Pharmacol 2012;1: e19.
    • (2012) CPT Pharmacometrics Syst Pharmacol , vol.1
    • Bruno, R.1    Lindbom, L.2    Schaedeli Stark, F.3
  • 88
    • 84905906379 scopus 로고    scopus 로고
    • Evaluation of tumor size metrics to predict survival in advanced gastric cancer
    • Accessed November 25, 2015
    • Quartino A, Claret L, Li J et al. Evaluation of tumor size metrics to predict survival in advanced gastric cancer. PAGE 2013;22:2812a. Available at http://www.Page-Meeting.Org/?Abstract 52812. Accessed November 25, 2015.
    • (2013) PAGE , vol.22
    • Quartino, A.1    Claret, L.2    Li, J.3
  • 89
    • 84887454644 scopus 로고    scopus 로고
    • Evaluation of tumor-size response metrics to predict overall survival in Western and Chinese patients with first-line metastaticcolorectalcancer
    • Claret L, Gupta M, Han K et al. Evaluation of tumor-size response metrics to predict overall survival in Western and Chinese patients with first-line metastaticcolorectalcancer. JClinOncol2013;31:2110–2114.
    • Jclinoncol2013 , vol.31 , pp. 2110-2114
    • Claret, L.1    Gupta, M.2    Han, K.3
  • 90
    • 84898648618 scopus 로고    scopus 로고
    • Prediction of overall survival or progression free survival by disease control rate at week 8 is independent of ethnicity: Western versus Chinese patients with first-line non-small cell lung cancer treated with chemotherapy with or without bevacizumab
    • Claret L, Gupta M, Han K et al. Prediction of overall survival or progression free survival by disease control rate at week 8 is independent of ethnicity: Western versus Chinese patients with first-line non-small cell lung cancer treated with chemotherapy with or without bevacizumab. J Clin Pharmacol 2014;54:253–257.
    • (2014) J Clin Pharmacol , vol.54 , pp. 253-257
    • Claret, L.1    Gupta, M.2    Han, K.3
  • 91
    • 84926418887 scopus 로고    scopus 로고
    • Modeling tumor dynamics and overall survival in advanced non-small-cell lung cancer treated with erlotinib
    • Suleiman AA, Frechen S, Scheffler M et al. Modeling tumor dynamics and overall survival in advanced non-small-cell lung cancer treated with erlotinib. J Thorac Oncol 2015;10:84–92.
    • (2015) J Thorac Oncol , vol.10 , pp. 84-92
    • Suleiman, A.A.1    Frechen, S.2    Scheffler, M.3
  • 92
    • 0028800137 scopus 로고
    • Convergence of direct and indirect pharmacodynamic response models
    • discussion 9–10
    • Jusko WJ, Ko HC, Ebling WF. Convergence of direct and indirect pharmacodynamic response models. J Pharmacokinet Biopharm 1995;23:5–8; discussion 9–10.
    • (1995) J Pharmacokinet Biopharm , vol.23 , pp. 5-8
    • Jusko, W.J.1    Ko, H.C.2    Ebling, W.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.