메뉴 건너뛰기




Volumn 59, Issue 2, 1997, Pages 205-232

Chemotherapeutic treatments: A study of the interplay among drug resistance, toxicity and recuperation from side effects

Author keywords

[No Author keywords available]

Indexed keywords

ANTINEOPLASTIC AGENT;

EID: 0031104756     PISSN: 00928240     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02462001     Document Type: Article
Times cited : (15)

References (31)
  • 1
    • 0028120597 scopus 로고
    • Dynamics of tumor interaction with the host immune system
    • Bellomo, N. and G. Forni. 1994. Dynamics of tumor interaction with the host immune system. Math. Comput. Modelling 20, 107-122.
    • (1994) Math. Comput. Modelling , vol.20 , pp. 107-122
    • Bellomo, N.1    Forni, G.2
  • 4
    • 0020805347 scopus 로고
    • A model for the resistance of tumor cells to cancer chemotherapeutic agents
    • Coldman, A. J. and J. H. Goldie. 1983. A model for the resistance of tumor cells to cancer chemotherapeutic agents. Math. Biosci. 65, 291-307.
    • (1983) Math. Biosci. , vol.65 , pp. 291-307
    • Coldman, A.J.1    Goldie, J.H.2
  • 5
    • 0022871280 scopus 로고
    • A stochastic model for the origin and treatment of tumors containing drug-resistant cells
    • Coldman, A. J. and J. H. Goldie. 1986. A stochastic model for the origin and treatment of tumors containing drug-resistant cells. Bull. Math. Biol. 48, 279-292.
    • (1986) Bull. Math. Biol. , vol.48 , pp. 279-292
    • Coldman, A.J.1    Goldie, J.H.2
  • 7
    • 77957185341 scopus 로고
    • Optimal chemotherapy; a case study with drug resistance, saturation effect and toxicity
    • Costa, M. I. S., J. L. Boldrini and R. C. Bassanezi. 1994. Optimal chemotherapy; a case study with drug resistance, saturation effect and toxicity. IMA J. Math. Appl. Med. Biol. 11, 45-59.
    • (1994) IMA J. Math. Appl. Med. Biol. , vol.11 , pp. 45-59
    • Costa, M.I.S.1    Boldrini, J.L.2    Bassanezi, R.C.3
  • 8
    • 0029240378 scopus 로고
    • Drug kinetics and drug resistance in optimal chemotherapy
    • Costa, M. I. S., J. L. Boldrini and R. C. Bassanezi. 1995a. Drug kinetics and drug resistance in optimal chemotherapy. Math. Biosci. 125, 191-209.
    • (1995) Math. Biosci. , vol.125 , pp. 191-209
    • Costa, M.I.S.1    Boldrini, J.L.2    Bassanezi, R.C.3
  • 9
    • 0029240198 scopus 로고
    • Chemotherapeutic treatments involving drug resistance and level of normal cells as a criterion of toxicity
    • Costa, M. I. S., J. L. Boldrini and R. C. Bassanezi. 1995b. Chemotherapeutic treatments involving drug resistance and level of normal cells as a criterion of toxicity. Math. Biosci. 125, 211-228.
    • (1995) Math. Biosci. , vol.125 , pp. 211-228
    • Costa, M.I.S.1    Boldrini, J.L.2    Bassanezi, R.C.3
  • 10
    • 0003297714 scopus 로고
    • Mathematical models in cell biology and cancer chemotherapy
    • New York: Springer-Verlag
    • Eisen, M. 1978. Mathematical Models in Cell Biology and Cancer Chemotherapy. Lecture Notes in Biomathematics, Vol. 30. New York: Springer-Verlag.
    • (1978) Lecture Notes in Biomathematics , vol.30
    • Eisen, M.1
  • 11
    • 0018569942 scopus 로고
    • A mathematical model for relating the drug sensitivity of tumors to their spontaneous mutation rate
    • Goldie, J. H. and A. J. Coldman. 1979. A mathematical model for relating the drug sensitivity of tumors to their spontaneous mutation rate. Cancer Treat. Rep. 63, 1727-1733.
    • (1979) Cancer Treat. Rep. , vol.63 , pp. 1727-1733
    • Goldie, J.H.1    Coldman, A.J.2
  • 12
    • 0026722363 scopus 로고
    • Drug resistance as a dynamic process in a model for multistep gene amplification under various levels of selection stringency
    • Harnevo, L. and Z. Agur. 1992. Drug resistance as a dynamic process in a model for multistep gene amplification under various levels of selection stringency. Cancer Chemother. Pharmacol. 30, 469-476.
    • (1992) Cancer Chemother. Pharmacol. , vol.30 , pp. 469-476
    • Harnevo, L.1    Agur, Z.2
  • 13
    • 0018895472 scopus 로고
    • Evaluation of toxicity: Statistical considerations
    • Herson, J. 1980. Evaluation of toxicity: statistical considerations. Cancer Treat. Rep. 64, 463-468.
    • (1980) Cancer Treat. Rep. , vol.64 , pp. 463-468
    • Herson, J.1
  • 14
    • 0025375922 scopus 로고
    • Mathematical models for gene amplification with application to cellular drug resistance and tumorigenicity
    • Kimmel, M. and D. E. Axelrod. 1990. Mathematical models for gene amplification with application to cellular drug resistance and tumorigenicity. Genetics 125, 633-644.
    • (1990) Genetics , vol.125 , pp. 633-644
    • Kimmel, M.1    Axelrod, D.E.2
  • 15
    • 13844310117 scopus 로고
    • A branching process model of gene amplification following chromosome breakage
    • Kimmel, M., D. E. Axelrod and G. M. Wahl. 1992. A branching process model of gene amplification following chromosome breakage. Mut. Res. 276, 225-239.
    • (1992) Mut. Res. , vol.276 , pp. 225-239
    • Kimmel, M.1    Axelrod, D.E.2    Wahl, G.M.3
  • 16
    • 0028388757 scopus 로고
    • Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysis
    • Kuznetsov, V. A., I. A. Makalin, M. A. Taylor and A. S. Perelson. 1994. Nonlinear dynamics of immunogenic tumors: parameter estimation and global bifurcation analysis. Bull. Math. Biol. 56, 295-321.
    • (1994) Bull. Math. Biol. , vol.56 , pp. 295-321
    • Kuznetsov, V.A.1    Makalin, I.A.2    Taylor, M.A.3    Perelson, A.S.4
  • 17
    • 0028467454 scopus 로고
    • Tumor growth in vivo and as multicellular spheroids compared by mathematical models
    • Marusic, M., Z. Bajzer, S. Vuk-Pavlovic and J. P. Fryer. 1994. Tumor growth in vivo and as multicellular spheroids compared by mathematical models. Bull. Math. Biol. 56, 617-631.
    • (1994) Bull. Math. Biol. , vol.56 , pp. 617-631
    • Marusic, M.1    Bajzer, Z.2    Vuk-Pavlovic, S.3    Fryer, J.P.4
  • 19
    • 0025372650 scopus 로고
    • Optimal control for a cancer chemotherapy problem with general growth and loss functions
    • Murray, J. M. 1990a. Optimal control for a cancer chemotherapy problem with general growth and loss functions. Math. Biosci. 98, 273-287.
    • (1990) Math. Biosci. , vol.98 , pp. 273-287
    • Murray, J.M.1
  • 20
    • 0025185334 scopus 로고
    • Some optimal control problems in cancer chemotherapy with a toxicity limit
    • Murray, J. M. 1990b. Some optimal control problems in cancer chemotherapy with a toxicity limit. Math. Biosci. 100, 49-67.
    • (1990) Math. Biosci. , vol.100 , pp. 49-67
    • Murray, J.M.1
  • 21
    • 77957177742 scopus 로고
    • An example of the effects of drug resistance on the optimal schedule for a single drug in cancer chemotherapy
    • Murray, J. M. 1995. An example of the effects of drug resistance on the optimal schedule for a single drug in cancer chemotherapy. IMA J. Math. Appl. Med. Biol. 12, 55-71.
    • (1995) IMA J. Math. Appl. Med. Biol. , vol.12 , pp. 55-71
    • Murray, J.M.1
  • 22
    • 0342447350 scopus 로고
    • Forschungsbericht Nr. 116, Institut für Ökonometrie, OR und Systemtheorie, Technische Universität Wien
    • Schandl, F. R. 1989. Optimal treatment strategies in cancer chemotherapy. Forschungsbericht Nr. 116, Institut für Ökonometrie, OR und Systemtheorie, Technische Universität Wien.
    • (1989) Optimal Treatment Strategies in Cancer Chemotherapy
    • Schandl, F.R.1
  • 23
    • 0020999092 scopus 로고
    • The forty year old mutation theory of luria and Delbruck and its pertinence to cancer chemotherapy
    • Skipper, H. E. 1983. The forty year old mutation theory of Luria and Delbruck and its pertinence to cancer chemotherapy. Adv. Cancer Res. 40, 331.
    • (1983) Adv. Cancer Res. , vol.40 , pp. 331
    • Skipper, H.E.1
  • 24
    • 0004984617 scopus 로고
    • Tumor growth models and cancer chemotherapy
    • J. R. Thompson and B. W. Brown (Eds). New York: Dekker
    • Swan, G. W. 1987. Tumor growth models and cancer chemotherapy. In Cancer Modeling, J. R. Thompson and B. W. Brown (Eds). New York: Dekker.
    • (1987) Cancer Modeling
    • Swan, G.W.1
  • 25
    • 0025049681 scopus 로고
    • Role of optimal control theory in cancer chemotherapy
    • Swan, G. W. 1990. Role of optimal control theory in cancer chemotherapy. Math. Biosci. 101, 237-284.
    • (1990) Math. Biosci. , vol.101 , pp. 237-284
    • Swan, G.W.1
  • 27
    • 0023740420 scopus 로고
    • Prescheduling graphic displays for optimal cancer therapies to reveal possible tumor regression or stabilization
    • Thornton, B. S. 1988. Prescheduling graphic displays for optimal cancer therapies to reveal possible tumor regression or stabilization. J. Med. Syst. 12, 31-41.
    • (1988) J. Med. Syst. , vol.12 , pp. 31-41
    • Thornton, B.S.1
  • 28
    • 0020043432 scopus 로고
    • Evaluation of some mathematical models for tumor growth
    • Vaidya, V. G. and F. J. Alexandro, Jr. 1982. Evaluation of some mathematical models for tumor growth. Int. J. Bio-Med. Comp. 13, 19-35.
    • (1982) Int. J. Bio-med. Comp. , vol.13 , pp. 19-35
    • Vaidya, V.G.1    Alexandro F.J., Jr.2
  • 30
    • 0018839725 scopus 로고
    • Evaluation of toxicity: Clinical issues
    • Vietti, T. J. 1980. Evaluation of toxicity: clinical issues. Cancer Treat. Rep. 64, 457-461.
    • (1980) Cancer Treat. Rep. , vol.64 , pp. 457-461
    • Vietti, T.J.1
  • 31
    • 0018764144 scopus 로고
    • Mathematical approaches to optimization of cancer chemotherapy
    • Zietz, S. and C. Nicolini. 1979. Mathematical approaches to optimization of cancer chemotherapy. Bull. Math. Biol. 41, 305-324.
    • (1979) Bull. Math. Biol. , vol.41 , pp. 305-324
    • Zietz, S.1    Nicolini, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.