Abstract
The practice of oncology depends upon accurate staging, the process that relates the initial clinical and laboratory assessment of a patient to the subsequent history of the disease. Staging not only provides the basis for prognosis but also allows patient populations to be stratified in clinical trials. Usually, staging has statistical validity; that is, predictions of outcome are applicable to populations of patients but not to individuals. A goal of research is to develop methods sufficiently sensitive to permit such predictions.
The work reported in this paper was supported by the National Cancer Institute of Canada, the Medical Research Council of Canada, and the Ontario Cancer Treatment and Research Foundation
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McCulloch, E.A. (1984). Experimental Approaches to Outcome Prediction in Acute Myeloblastic Leukemia. In: Hofmann, V., Berens, M.E., Martz, G. (eds) Predictive Drug Testing on Human Tumor Cells. Recent Results in Cancer Research, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82295-7_9
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