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Volumn 26, Issue 4 B, 2006, Pages 2933-2936

Predicting tumor cell repopulation after response: Mathematical modeling of cancer cell growth

Author keywords

Mathematical modeling; Tumor cell repopulation

Indexed keywords

ETOPOSIDE;

EID: 33746695420     PISSN: 02507005     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (12)
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    • Effect of the selective estrogen receptor modulator arzoxifene on repopulation of hormone-responsive breast cancer xenografts between courses of chemotherapy
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    • Wu, L.1    Tannock, I.F.2
  • 2
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    • Decreased repopulation as well as increased reoxygenation contribute to the improvement in local control after targeting of the EGFR by C225 during fractionated irradiation
    • Krause M, Ostermann G, Petersen C, Yaromina A, Hessel F, Harstrick A, van der Kogel AJ, Thames HD and Baumann M: Decreased repopulation as well as increased reoxygenation contribute to the improvement in local control after targeting of the EGFR by C225 during fractionated irradiation. Radiother Oncol 76(2): 162-167, 2005.
    • (2005) Radiother Oncol , vol.76 , Issue.2 , pp. 162-167
    • Krause, M.1    Ostermann, G.2    Petersen, C.3    Yaromina, A.4    Hessel, F.5    Harstrick, A.6    Van Der Kogel, A.J.7    Thames, H.D.8    Baumann, M.9
  • 3
    • 1542472979 scopus 로고    scopus 로고
    • Apoptosis genes and resistance to cancer therapy: What does the experimental and clinical data tell us?
    • Brown JM and Wilson G: Apoptosis genes and resistance to cancer therapy: what does the experimental and clinical data tell us? Cancer Biol Ther 2(5): 477-490, 2003.
    • (2003) Cancer Biol Ther , vol.2 , Issue.5 , pp. 477-490
    • Brown, J.M.1    Wilson, G.2
  • 4
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    • In vitro chemosensitivity testing in chronic lymphocytic leukaemia patients
    • Hanson JA, Bentley DP, Bean EA, Nute SR and Moore JL: In vitro chemosensitivity testing in chronic lymphocytic leukaemia patients. Leuk Res 15(7): 565-569, 1991.
    • (1991) Leuk Res , vol.15 , Issue.7 , pp. 565-569
    • Hanson, J.A.1    Bentley, D.P.2    Bean, E.A.3    Nute, S.R.4    Moore, J.L.5
  • 6
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    • Modeling killing and repopulation kinetics of subclinical cancer: Direct calculations from clinical data
    • Kirkpatrick JP and Marks LB: Modeling killing and repopulation kinetics of subclinical cancer: direct calculations from clinical data. Int J Rad One Biol Phys 58(2): 641-654, 2004.
    • (2004) Int J Rad One Biol Phys , vol.58 , Issue.2 , pp. 641-654
    • Kirkpatrick, J.P.1    Marks, L.B.2
  • 7
    • 0001315130 scopus 로고
    • Dynamics of tumor growth: Comparison of growth rates and extrapolation of growth curves to one cell
    • Laird AK: Dynamics of tumor growth: comparison of growth rates and extrapolation of growth curves to one cell. Br J Cancer 20: 278-291, 1965.
    • (1965) Br J Cancer , vol.20 , pp. 278-291
    • Laird, A.K.1
  • 9
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    • The case against apoptosis
    • Steel GG: The case against apoptosis. Acta Oncol 40(8): 968-975, 2001.
    • (2001) Acta Oncol , vol.40 , Issue.8 , pp. 968-975
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  • 10
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    • Virtual and real brain tumors: Using mathematical modeling to quantify glioma growth and invasion
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    • Swanson, K.R.1    Bridge, C.2    Murray, J.D.3    Alvord, E.C.4
  • 11
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    • Long recovery times improve the detection of cellular resistance in vitro
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.