B. Barlogie, W. N. Hittelman, F. M. Davis, H. Kantarjian's Minimal Residual Disease in Acute Leukemia PDF

By B. Barlogie, W. N. Hittelman, F. M. Davis, H. Kantarjian (auth.), B. Löwenberg MD, PhD, A. Hagenbeek MD, PhD (eds.)

The target of the therapy of acute leukemia comprises the eradication of all neoplastic cells, together with the final one. preferably, therapy may be managed via tracking mobile kill. If the final cells can be chanced on and their organic homes be made up our minds, the qualitative and quantitative results of therapy might be without delay evaluable. this could eventually allow a calculated tumor mobilephone relief thereby warding off overtreatment and over the top toxicity and hence offering a foundation for individualized antileukemic therapy. in recent times numerous new advancements have contributed to the selective discovery of minimum numbers of leukemic cells that are hidden one of the basic cells within the marrow cavities. those tools are the 1st steps to the conclusion of the healing pursuits indicated above. They contain the construction and ap­ plication of monoclonal antibodies opposed to differentiation antigens at the mobile sur­ face, using pulse cytophotometry - and cellphone sorter strategies, the employment of cytogenetics, the improvement of tradition recommendations for selective progress of precursor cells and a number of other others. those methodologies supply customers for sophisticated analysis and, so far as the removal of leukemic cells is worried, the extra improvement of autologous bone marrow transplantation. casting off tumor cells from autologous grafts calls for the designated wisdom of the mobile inter­ relationships in the neoplasm in order that the neoplastic cells accountable for tumor propagation are particularly got rid of. acceptance and characterization of the clonogenic cells of the neoplasm may still then bring about picking out their sensitivity to the healing brokers that are clinically applied.

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R. (1983). neutrophil Classification of immature and mature series using morphometrical parameters. Cytometry 3: 435. 10. Brecher, G. (1950). A time-saving device for the counting of reticu- locytes. Am. J. Clin. Path. 20: 1079. 39 11. , Vastola, E. (1974). Automated classification of normal and abnormal leukocytes. J. Histochem. Cytochem. 22: 697. 12. W. (1981), Purification of rat pluripotent hemopoietic stem cells. Stem Cells 1: 250. 13. S. (1980). Optimizing cervical cell classifiers. Analyt.

Cytochem. 22: 697. 12. W. (1981), Purification of rat pluripotent hemopoietic stem cells. Stem Cells 1: 250. 13. S. (1980). Optimizing cervical cell classifiers. Analyt. Quant. Cytol. 2: 117. 14. S. (1980). The tradeoff of cell classifier error rates. Cytometry 1: 156. 15. I. (1963). The reticulocyte count as indicator of the rate of erythropoiesis. Am. J. Clin. Pathol. an 39: 121. 16. R. (1980). Scientific Tables. , 7th Edition, p. 189, and Tables on pp. 107-108. 17. Driel-Kulker, (1980). J. , van, by Stohr, image cytometry.

P. in a dose of 100 mg/kg. This dose induces a 5 log leukemic cell 9 kill (9). As the total tumor load at day 13 is 5 x 10 cells, about 5 x 10 4 leukemic cells survive this treatment. The frequency of BNML cells in the femoral bone marrow at various times after cyclophosphamide is given in Table 2. This frequency was derived by injecting graded numbers of bone marrow cells into normal recipient BN rats. The survival time of these rats is linearly related to the number of leukemic cells present in the inoculum.

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