Definition
The log-kill hypothesis proposes a model for the effect of cytotoxic chemotherapy on tumor size. It states that a given dose of chemotherapy kills the same fraction of tumor cells regardless of the size of the tumor at the time of treatment.
Characteristics
Experimental and mathematical models have attempted to describe the fundamentals of tumor cell growth and kinetics. From these systems arose an improved understanding of tumor growth characteristics, a foundation for the key principles of chemotherapy, and, eventually, recognition of the importance of dose scheduling. The Skipper-Schabel-Wilcox model is one of the most influential and pioneering experiments in the history of oncology.
Investigators at the Southern Research Institute developed a simple model of tumor growth using L1210 murine leukemia cells. This system had two notable features: a seemingly exponential growth pattern and the ability to...
References
Chu E, DeVita V (2005) Principles of medical oncology. In: DeVita V, Hellman S, Rosenberg S (eds) Cancer principles and practice of oncology. Lippincott Williams and Wilkins, Philadelphia, pp 295–301
Gilewski T, Dang C, Surbone A et al (2003) Cytokinetics. In: Holland J, Frei E (eds) Cancer medicine, 6th edn. BC Decker, Hamilton
Traina TA, Hudis C, Norton L (2006) Dose-dense chemotherapy for breast cancer: a validation of the Norton-Simon hypothesis. In: De Vita VT Jr, Hellman S, Rosenberg SA (eds) Cancer principles and practice of oncology updates. Lippincott Williams and Wilkins, Philadelphia. Chap 8
See Also
(2012) Gompertzian Growth Curve. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 1576. doi:10.1007/978-3-642-16483-5_2473
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this entry
Cite this entry
Traina, T.A., Norton, L. (2015). Log-Kill Hypothesis. In: Schwab, M. (eds) Encyclopedia of Cancer. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27841-9_3409-2
Download citation
DOI: https://doi.org/10.1007/978-3-642-27841-9_3409-2
Received:
Accepted:
Published:
Publisher Name: Springer, Berlin, Heidelberg
Online ISBN: 978-3-642-27841-9
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences