Literature DB >> 11175663

Radioimmunotherapy with alpha-particle emitters: microdosimetry of cells with a heterogeneous antigen expression and with various diameters of cells and nuclei.

Y Kvinnsland1, T Stokke, E Aurlien.   

Abstract

Intercellular variations in the level of antigen expression and in cellular and nuclear radii were taken into account in a model used to estimate cell survival for an in vitro experiment with antibodies containing alpha-particle emitters that target the cell surface. Using measured variations in these characteristics for cells of two human cancer cell lines, the model gave results for cell survival and the fundamental parameter of radiation sensitivity, z(0), that differ substantially from those obtained using only mean values. The cell survival may be underestimated by a factor of 100 if only mean values of these cellular parameters are used, and calculated values of z(0) may be overestimated by a factor of 2. Most of this effect stems from the variation in antigen expression. The magnitudes of the differences were found to be a function of the fractions of mean specific energy delivered by surrounding activity and by activity bound to the cells.

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Year:  2001        PMID: 11175663     DOI: 10.1667/0033-7587(2001)155[0288:rwapem]2.0.co;2

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  14 in total

1.  A method to predict response of cell populations to cocktails of chemotherapeutics and radiopharmaceuticals: validation with daunomycin, doxorubicin, and the alpha particle emitter (210)Po.

Authors:  John M Akudugu; Roger W Howell
Journal:  Nucl Med Biol       Date:  2012-04-14       Impact factor: 2.408

2.  Log normal distribution of cellular uptake of radioactivity: implications for biologic responses to radiopharmaceuticals.

Authors:  Prasad V S V Neti; Roger W Howell
Journal:  J Nucl Med       Date:  2006-06       Impact factor: 10.057

3.  Biological response to nonuniform distributions of (210)Po in multicellular clusters.

Authors:  Prasad V S V Neti; Roger W Howell
Journal:  Radiat Res       Date:  2007-09       Impact factor: 2.841

4.  Lognormal distribution of cellular uptake of radioactivity: statistical analysis of alpha-particle track autoradiography.

Authors:  Prasad V S V Neti; Roger W Howell
Journal:  J Nucl Med       Date:  2008-05-15       Impact factor: 10.057

5.  Survival of tumor and normal cells upon targeting with electron-emitting radionuclides.

Authors:  Didier Rajon; Wesley E Bolch; Roger W Howell
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

6.  Flow cytometry-assisted Monte Carlo simulation predicts clonogenic survival of cell populations with lognormal distributions of radiopharmaceuticals and anticancer drugs.

Authors:  John M Akudugu; Roger W Howell
Journal:  Int J Radiat Biol       Date:  2011-12-09       Impact factor: 2.694

7.  Monte Carlo simulation of irradiation and killing in three-dimensional cell populations with lognormal cellular uptake of radioactivity.

Authors:  Roger W Howell; Didier Rajon; Wesley E Bolch
Journal:  Int J Radiat Biol       Date:  2011-11-30       Impact factor: 2.694

8.  MIRD Pamphlet No. 22 (abridged): radiobiology and dosimetry of alpha-particle emitters for targeted radionuclide therapy.

Authors:  George Sgouros; John C Roeske; Michael R McDevitt; Stig Palm; Barry J Allen; Darrell R Fisher; A Bertrand Brill; Hong Song; Roger W Howell; Gamal Akabani; Wesley E Bolch; A Bertrand Brill; Darrell R Fisher; Roger W Howell; Ruby F Meredith; George Sgouros; Barry W Wessels; Pat B Zanzonico
Journal:  J Nucl Med       Date:  2010-01-15       Impact factor: 10.057

9.  Cancer stem cell targeting using the alpha-particle emitter, 213Bi: mathematical modeling and feasibility analysis.

Authors:  George Sgouros; Hong Song
Journal:  Cancer Biother Radiopharm       Date:  2008-02       Impact factor: 3.099

10.  Concomitant quantification of targeted drug delivery and biological response in individual cells.

Authors:  Massimo Pinto; Roger W Howell
Journal:  Biotechniques       Date:  2007-07       Impact factor: 1.993

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