Adaptive dose finding based ont-statistic for dose–response trials
Overview of Radiosensitivity of Human Tumor Cells to Low-Dose-Rate Irradiation
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Transcript of Overview of Radiosensitivity of Human Tumor Cells to Low-Dose-Rate Irradiation
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Genotype-dependent, Time-dependent Radiosensitivity of Human Tumor Cells to Low Dose-rate Irradiation: Implications for Clinical Application.
Journal: Acta Oncologica
Manuscript ID: draft
Manuscript Type: Original Manuscript
Date Submitted by the Author:
n/a
Complete List of Authors: Williams, Jerry; Loma Linda Medical Center, Radiation Medicine Zhang, Yonggang; Johns Hopkins Medical Institution, Oncology Zhou, Haoming; Johns Hopkins Medical Institution, Oncology CenterRussell, James; Memorial Sloan Kettering Cancer Center, Radiation Medicine Gridley, Daila; Loma Linda University and Medical Center, Radiation Medicine Koch, Cameron; University of Pennsylvania, Radiation Medicine Slater, James; Loma Linda Medical Center, Radiation Medicine Dillehay, Larry; Johns Hopkins Medical Institutes, Oncology Little, John; Harvard School of Public Health, John B. Little Center
Keywords: low dose-rate , radiosensitivity , TP53, cell-cycle redistribution
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Genotype-dependent, Time-dependent Radiosensitivity of Human Tumor Cells to Low Dose-rate Irradiation: Implications for Clinical Application.
Jerry R. Williams ScD1, 2, Yonggang Zhang MD2, Haoming Zhou2, , Daila S. Gridley, PhD1, James Russell Ph.D2,3, James M. Slater MD1, Cameron J. Koch PhD 4, John B. Little, MD 5
1. Radiobiology Program, Department of Radiation Medicine, Loma Linda University Medical Center Loma Linda CA
2. Laboratory of Radiobiology Johns Hopkins School of Medicine, Baltimore MD 3. Present address: Memorial Sloan Kettering Cancer Center, New York, NY4. Department of Radiation Oncology, University of Pennsylvania Philadelphia PA. 5. Center for Radiation Sciences and Environmental Health, Harvard School of Public Health, Boston MA.
Key words: Human tumor cells, radiosensitivity models, low dose-rate, TP53, CDKN1A,
14-3-3σ, inverse dose-rate effect.
Abbreviations: LDR, low dose-rate; HDR, high dose-rate.
This research was supported by NIH grant PO-CA79862 to JRW and by the Radiation Medicine
Department of the Loma Linda Medical Center.
Running title: Low dose-rate radiosensitivity
Address and email of corresponding author:
Dr. Jerry R. Williams, Department of Radiation Medicine, 11175 Campus Street, Chan Sun
Pavilion, Rm. A-1010, Loma Linda CA 92350-1700.
Email: [email protected]
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Abstract:
Purpose: We measure radiosensitivity to low-dose-rate (LDR) irradiation in 27 cell lines
that vary in genotype and in radiosensitivity to high-dose-rate (HDR) irradiation. We define
susceptibility to LDR-induced redistribution in the cell cycle in 15 of these cell lines.
Methods: We compare clonogenic survival after durations up to 96 hours of LDR (0.25
Gy/hr) irradiation and compare these to clonogenic survival after irradiation HDR. We measure
LDR-induced changes in cell-cycle redistribution using flow-cytometry. We extract coefficients
that describe radiosensitivity over different dose-segments for both dose-rates and seek
correlation between cell lines on the basis of genotype.
Results: Radiosensitivity to LDR and HDR irradiation fall into four common
radiosensitivity groups based on cell genotype. Radiosensitivity to LDR, HDR for all cell lines
correlates at lower doses (circa 2 Gy HDR, circa 6 Gy LDR), but not at higher doses (HDR > 4
Gy; LDR durations > 6 Gy). LDR radiosensitivity changes in a genotype-dependent manner at
circa 24 hours with sensitive cells becoming more resistant and resistant cells becoming more
sensitive. Redistribution induced by LDR irradiation shows distinct changes in kinetics at 24
hours.
Conclusions: Human tumor cells segregate into four major radiosensitivity groups for
both HDR and LDR irradiation that cluster with specific genotypes: mutATM; wtTP53;
mutTP53; and an unidentified gene in radioresistant glioma cells. LDR radiosensitivity and LDR
induced redistribution are time-dependent changing at circa 24 hours. We propose a genotype-
dependent, time-dependent model to explain the inverse-dose-rate effect and suggest possible
clinical application.
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Introduction:
Tumors are treated in the clinic with ionizing radiation delivered over a range of dose-
rates including low dose-rates (LDR) delivered by radioactive implants or radio-labeled
antibodies. We have reviewed the response of tumors and tumor cells to irradiation delivered at
different dose-rates, particularly as these data suggest possible clinical application, Gridley et al
[1]. The mechanisms by which LDR induces cell killing and redistribution in the cell cycle are
not well documented over multiple cell lines that vary in genotype and in sensitivity to high
dose-rate (HDR) irradiation and this is the primary goal of the studies presented here.
We have recently shown that radiosensitivity to high-dose-rate (HDR) irradiation in multiple
human tumor cells falls into four radiosensitivity groups, each group associating with a specific
genotype: mutATM; wtTP53; mutTP53; and an unidentified gene that associates with
radioresistant glioblastoma cells that we will refer to as “glio” [2, 3]. We now seek to
determine whether these cell lines segregate with the same genotypes when irradiated with LDR.
We have also demonstrated that redistribution in the cell cycle after a single acute dose of HDR
irradiation is genotype-dependent and time-dependent [4] and we now seek similar data for
redistribution during LDR irradiation.
Radiation-induced loss of clonogenic survival by LDR is complicated when durations of
exposures are long compared to times over which induction of gene expression and redistribution
in the cell cycle can occur. Such extended durations of exposure have been proposed to result in
differences in survival due to repair processes [5] and redistribution in the cell cycle [6, 7].
Studies using cultured cell systems have been used to demonstrate the sparing effect of LDR and
some of these studies suggest redistribution in the cell cycle is responsible for some changes in
radiosensitivity observed during protracted irradiation [8-16]. Mitchell et al. [12] first identified
more complex patterns for cell killing when cells were irradiated with a series of dose-rates circa
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0.37 Gy/hr to 1.54 Gy/hr. These data showed that for some cell lines and for some ranges of
dose and dose-rate, monotonic increases in dose-rate did not produce a monotonic increase in cell
killing. In specific cell lines, over specific dose-rate ranges, increasing dose-rate did not increase
but actually reduced cell killing. This was referred to as the “inverse dose-rate-effect”. We will
propose a mechanistic description of this effect.
A major variable in our studies is tumor cell genotype, focusing on TP53. The relationship
between TP53 and radiosensitivity to HDR irradiation has been reviewed [17-20]. While these
studies generally suggest that cells that express wtTP53 are more sensitive than cells that express
mutTP53, this finding is not universal and in some cases contradictory. Our recently published
studies [2, 3] better define the relationship between TP53 expression and HDR radiosensitivity
and we now extend these studies to LDR irradiation including cell lines that express four forms
of TP53: wildtype, mutant, null and abrogated. We also study genetically-manipulated cell lines
that vary in TP53, CDKN1A (p21), 14-3-3σ, K-ras, and DNA mismatch repair.
Ionizing radiation induces perturbation in the progression of cells through the intermitotic
cycle. This perturbation is thought to involve the induction, suppression, or both, of gene
products that are needed for traversing certain critical “checkpoints” in the intermitotic cycle
[21]. The effects of ionizing radiation on cell progression have been reviewed [22-24]. We have
recently shown that redistribution in the cell cycle after HDR irradiation associates with specific
genes: wtTP53, mutTP53, mut ATM, abrogated CDKN1A and abrogated 14-3-3σ [4]. We now
study changes in redistribution during extended durations of LDR irradiation.
Our experimental strategy is to define a statistically-validated data base for clonogenic
survival in 12 cell lines selected on the basis of their HDR radiosensitivity and variation in
genotype and then determine whether an additional 15 cell lines, including genetically-
manipulated cell lines, correlate with these patterns of radiosensitivity. Similarly we define
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kinetics of redistribution in the cell cycle for nine selected cell lines and then compare these
results to an additional six lines, including the same genetically-manipulated lines used for
survival studies.
Material and methods:
Cell lines: The human glioblastoma cell lines U251 and U87 were obtained from the American
Type Culture Collection (Rockville MD). HCT116, 80S4, 379.2, 14-3-3 σ-/- , DLD1, 19S186
were obtained from Dr. Bert Vogelstein of Johns Hopkins. SW1222 was obtained from Dr.
James Russell at Memorial Sloan Kettering Cancer Center. T98G cells were from Dr. John B.
Little of Harvard School of Public Health. Most cell lines were maintained in McCoy's medium
(exceptions being SW1222 in RPMI 1640, U251 and U87 in F12/DMEM, T98G in MEM).
Medium was supplemented with 10% fetal bovine serum and 1% penicillin plus streptomycin
(Gibco Long Island NY, USA). 14-3-3 σ-/- cells were cultured in the presence of G418 (0.5
mg/ml) an aminoglycoside antibiotic. Stock cultures were grown in plastic flasks in a 37oC
incubator with a 5% CO2-95% air atmosphere and subcultured to maintain cells in exponential
growth.
Radiation and Clonogenic assay. For survival studies using HDR irradiation, cells were
exposed to high-dose-rate radiation in a Gammacell 40 (Nordion Ottawa ONT Canada) at
approximately 0.7 to 0.8 Gy/min. For these studies, single cells were plated 18 hours before
irradiation. After exposure plates were incubated for 8-14 days depending on specific growth
and colonies stained with crystal violet. Colonies with more than approximately 50 cells were
counted. For each cell line we performed controls to account for possible proliferation during
the period between plating and irradiation. This control consisted of plating 105 cells in separate
plates when replicates of cells were plated for colony formation. When irradiation was
performed on the plates for colony formation, the microcolony plates were stained and the
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number of cells per colony measured. The average number of cells per colony was below 1.20
cells per microcolony for all cell lines and did not vary significantly between cell lines.
Irradiation for LDR studies were carried out in a custom LDR irradiator that uses Cs-137 sources
attenuated to produce a dose-rate of 0.25 Gy/hr. Cells were plated at numbers that allow each
cell line to grow exponentially for 96 hours without reaching confluence. These exponential
cultures were irradiated and explanted, counted and plated for colony formation at appropriate
densities to produce between approximately 50 to 150 colonies per flask.
Cell-cycle Redistribution Assay: 2 x 105 cells were plated 18 hours before irradiation. Cells
were harvested at designated times by trypsinizing into single cell suspensions. Cells were then mixed
with 0.5ml Magic Solution (stock solution: 12 ml phosphate buffered saline, 20ml 0.1% NP-40/PBS,
3.6ml 37% Formaldehyde and 0.4ml 1mg/ml Hoechst 33258), vortexed and stored in refrigerator
(4oC) for no more than 4 days, before UV excitation analysis (FACSVantage SF, Becton Dickson).
Regression stripping was used to estimate the prevalence of cells that contain DNA content
corresponding to G1, S or G2.
Derivation of Coefficients that Describe Radiosensitivity: From each set of survival curves
we derive four coefficients, two from HDR data and two from LDR data. The coefficient of the
slope from 0 to 2.0 Gy HDR is defined as α(HDR) and that for the slope from 0 to 6.0 Gy LDR
is defined as α(LDR). The coefficient of the slope for three survival points: 0.0 Gy, 2.0 Gy HDR
and 6.0 Gy LDR is defined as α(LDR/HDR). The coefficient from the slope derived by best-fit
linear regression for HDR response between 5 and 10 Gy is defined as ω(HDR) and the
coefficient for best-fit linear regression of LDR data at 12 Gy and higher is defined as ω(LDR).
Analytical units: Data were tested for significance using Student’s t-test and the Mann-Whiney
test. A p value of < 0.05 was used to indicate statistical significance. All survival data is
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expressed as logarithms to the base 10 and radiosensitivity as logs10 cells killed per Gy. All error
bars represent the standard error of the mean unless otherwise specified.
Results:
We defined a basic data set of clonogenic responses to LDR in 12 unmanipulated cell lines that
vary in HDR radiosensitivity and genotype. These cell lines were selected from four radiosensitivity
groups based on clonogenic response to HDR irradiation [1, 2]. Clonogenic survival curves for these
cell lines after irradiation with either HDR or LDR are shown in figure 1.
Insert figure 1.
Data in figure 1 show that survival patterns after LDR fall into the same rank-order as do
the same four radiosensitivity groups treated with HDR irradiation. The mean value for survival
at each dose point, for each radiosensitivity group, and for both LDR and HDR radiation is
significantly different from the mean of cell groups above and below it (p< 0.05) [1, 2]. All
HDR responses are convex, with changes at higher doses (> 4 Gy) that indicate increased cell
killing e.g. ω(HDR) > α(HDR). For LDR survival curves, two radiosensitivity groups, R and
VR, are clearly convex also but two are concave, S and to a lesser extent VS, with increasing
radioresistance at later times. Thus for LDR irradiation, R and VR cells become more sensitive
and S and VS cells become more resistant. Interception of the two lines extrapolated from
α(LDR) and ω(HDR) occur at durations of exposure that would correspond to changes in
radiosensitivity occurring between 20 and 30 hours.
The similarities and differences between HDR and LDR radiosensitivity patterns for each
of the four radiosensitivity groups are more clearly seen when they are compared directly in the
same panel. In figure 2 we show a direct comparison of HDR, LDR responses for each
radiosensitivity group showing dotted and dashed lines representing α(HDR) and α(LDR).
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Insert figure 2.
When data are plotted as shown in figure 2, several important observations can be made.
First the slopes of the lines for α(HDR) and α(LDR) that have been extended linearly from
lower doses are essentially coincident in two radiosensitivity groups, R and S cells (panels B and
C). VR cells (panel A) show an increase in α(LDR) compared to α(HDR), suggesting increasing
radioresistance. In VS cells, survival patterns are more variable and LDR response at higher
doses falls into the same range of cell killing predicted by extrapolation of cell killing at lower
doses. However compared to HDR irradiation, VS cells show reduced toxicity with a suggestion
at doses above 12 Gy of increasing radiosensitivity. We will compare these coefficients for all 27
cell lines subsequently. The differences between the rates of cell killing at higher doses, ω(HDR)
and ω(LDR), are distinctly different for each radiosensitivity group. Importantly, these data show
that both VR and R cells become more sensitive and S cells, and to a lesser extent VS cells,
become more resistant at times circa 24 hours. While radiosensitivity for S and R cells is still
diverging at HDR doses of 10 Gy, for LDR irradiation radiosensitivity in absolute terms is
converging at 24 Gy LDR. Based on the data in figures 1 and 2, our earlier studies of the
kinetics of apoptosis and redistribution after HDR irradiation [4] and data presented subsequently
for redistribution during LDR irradiation, we will use the term “circa 24 hours” to denote the
common time for these several changes.
We extracted coefficients that describe cell killing at lower and higher doses as described
in the material section from both HDR and LDR survival curves for these 12 cell lines. We
performed similar experiments on an additional 15 cell lines that varied in histological type and
status of several genes: TP53, CDKN1A, 14-3-3σ, Ki-ras and genes involved in DNA mismatch
repair (data not shown). From these 54 survival curves, we calculate 108 coefficients that
describe the slope of cell killing at lower doses and higher doses for both LDR and HDR. These
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coefficients are: α(LDR), α(HDR), ω(LDR) and ω(HDR). These coefficients are listed in table 1
on the basis of histological type, radiosensitivity group, cell line, genetic characteristics and
TP53 status.
Insert Table 1.
The size of this data base validates the use of scatter diagrams to examine clustering and
correlation. Using this approach we are able to compare coefficients among the 27 cell lines and
identify those cell lines that share common values and any cell line that exhibits exceptional expression
of the four coefficients. In figure 3 we compare distribution of cell lines on the basis of TP53 status for
four pairs of coefficients that describe radiosensitivity at lower and higher doses for both HDR and
LDR.
Insert figure 3.
Data in all four panels show strong clustering for cells express wtTP53 distinct from cells that
express mutTP53. In table 2 below we analyze statistical variation for all four coefficients between
cells that express wtTP53 and mutTP53. In figure 3 we have identified several cell lines that lie
outside two standard deviations from other cells in their radiosensitivity group, further the cell line
SW1222 falls at the extreme diagonal for all four comparisons. We tested these several cell lines that
appear to be “outliers” using the t-test to determine whether they are significantly different from the
cell lines of the same genotype (wtTP53 or mutTP53) using comparisons of replicate survival data.
The VS line SW1222 is a true biological outlier as evidenced by its peripheral location in all four
panels and confirmed by comparison of replicate survival data. HCT116 is not a true outlier in that
it is not significantly different form other clones of the same parent line. For PPC-1 we conclude it
is an outlier based on its value for the parameter ω(LDR). 14-3-3σ-/- and LNCap are not true
outliers but appear so by random variation in the two parameters used to describe them.
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The data in panel A show strong correlation between α(HDR) and α(LDR) over all cell
lines. The data in panel B shows clustering between wtTP53 cells and mutTP53 cells based on
values for ω(HDR), but there is no correlation between ω(LDR) and ω(HDR). Similarly, the data in
panel C show clustering based on values of α(LDR) but there is no correlation with ω(LDR). The
data in panel D shows correlation between α(HDR) and ω(HDR and these data can be resolved
further into genotype-dependent radiosensitivity groups [1, 2]. We estimated the significance of
differences between means of wtTP53 and mutTP53 cells using Student’s t-test for each of the four
coefficients and these are shown in table 2.
Insert table 2.
Thus, three coefficients are significantly different between cells that express wtTP53 and
mutTP53 but not ω(LDR).
Although there was no correlation between the rate of LDR cell killing at lower doses
represented by α(LDR) at 6 Gy and ω(LDR), it was clear from figures 1 and 2 that there was a
tendency in S cells to become more resistant and R cells to become more sensitive. In figure 4
we show a global overview of changes in radiosensitivity presented as changes of cell killing at
24 hours compared to the rate of cell killing based on the slope of the line from 48 hours to 72
hours.
Insert figure 4. (Note old figure 4 is deleted).
These data show that protracted irradiation can produce a global shift in radiosensitivity
that is quite significant when compared to the rate of cell killing at 24 hours shown as dotted
lines that represent the mean of this coefficient for S cells (upper line) and R cells (lower line).
Some cell lines in figure 4 show little change over the duration from 24 and 72 hours and this
reflects a relative constant rate of radiosensitivity over this duration of exposure, not a deficit in
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variance of the measurements. We also tested whether the values of α(LDR) for each cell line
predicted the rate of change in radiosensitivity shown in figure 4 by testing correlation between
these two variables over all 27 cells lines.. There was only a modest correlation coefficient of
R2= 0.4623 but the mean rate of change between wtTP53 cells compared to the values for
mutTP53 cells was significant using the Whitney-Mann test, p< 0.05 with the former being
positive and the latter being negative.
We measured clonogenic survival and redistribution in the cell cycle as a function of time
of irradiation at 0.25 Gy/hr for 13 cell lines. In figure 5 we show relative patterns for cells that
represent three radiosensitivity groups: VS, S and R using similar cell lines for which we have
recently published kinetic measurements for redistribution a single dose of HDR irradiation [3].
SW1222 is an important positive control since it represents a unique radiosensitivity
characterized by dysfunctional redistribution in the cell cycle and hypersusceptibility to
apoptosis [4].
Insert figure 5. (Previously figure 6).
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Data in Figure 5 show that LDR irradiation induces changes in cell-cycle redistribution
with no significant differences between S and R cells for the first 24 to 30 hours but significant
differences after that time. At times greater than this time, radiosensitivity also changes in all
three cell groups with S cells becoming more resistant and R cells becoming more sensitive.
SW1222 shows earlier perturbation due to the absence of G1 arrest in these cells. S cells have an
elevated level of cells in the G1 phase compared to R cells. There is a general correlation
between increases or decreases in G1-phase cells and G2-phase cells that correlate generally with
changes in LDR radiosensitivity for the three groups of cells. When corrected for elevated G1
prevalence before irradiation in S cells, there are no significant differences in % of cells in each
of the phases of the cell cycle for R and S cells until after 24 hours. At the same time period,
radiosensitivity of both S and R cells change. These data are generally consistent with the
hypothesis that increases in G1-phase cells and decreases in G2-phase could render cells more
resistant and the opposite patterns of accumulation, increase in G2 and decrease in G1, could
render cells more sensitive. However the changes in the VS line compared to the S cell lines is
not consistent with this hypothesis, with the increases in G2 and the decreases in G1 not
consistent with quantitative changes in radiosensitivity shown in the upper panel. Figure 5 does
show the VS cell line is exceptional both in radiosensitivity and cell-cycle redistribution during
LDR irradiation.
We examined LDR-induced redistribution in the cell cycle and LDR radiosensitivity for
six additional cell lines that have undergone specific manipulations of genotype. From these
comparisons (data not shown) we make two observations: 1) No genetic manipulations as listed
below altered either the rate of cell killing observed in the parent line for the first 24 hours or the
rate of redistribution in the cell cycle for the first 24 hours; and 2) subsequent to 24 hours there
are induced changes for some specifically manipulated genotypes for both radiosensitivity and in
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redistribution, however these changes do not show a general correlation. Cells abrogated in
TP53 subsequent to 24 hours show increased radioresistance compared to other S cells.
Redistribution in these cells shows decreased prevalence in G1-phase cells, increased prevalence
in S-phase cells and a small but significant increase inG2-phase cells. 2) Cells abrogated in 14-3-
3σ show slightly increased radiosensitivity after 24 hours and there are small modifications in
cell-cycle redistribution: G1-phase cells increase, S cells decrease and G2 cells decrease. 3).
Cells abrogated in CDKN1A in a wtTP53 background (80S4 cells) subsequent to 24 hours shows
no changes in radiosensitivity but do show increases prevalence of cells in S-phase, decreases
cells in G1-phase and results in a small decrease in G-2 phase cells. 4). Cells abrogated in
CDKN1A in a mutTP53 background (19S186), restitution of DNA mismatch repair by
chromosomal transfer (N6CH3), insertion of a K-ras vector (CaCo2-neoras) did not show
alterations either in radiosensitivity or redistribution in the cell cycle. All of these differences,
both positive and negative are statistically significant (p < 0.05) and we interpret these data to
suggest that in all these cell lines there is not a general correlation between radiosensitivity and
redistribution into sensitive or resistant phases of the cell cycle after 24 hours.
We directly tested the hypothesis proposed by several authors that there a significant
correlation between radiosensitivity of populations of cells and prevalence or cells in the cell
cycle. In figure 6, we compare the prevalence of cells in G1-phase and G2-phase of the cell
cycle after 48 hours of LDR irradiation with the rate of cell killing (logs10 SF/Gy) at the same
time for 15 cell lines.
Insert figure 6 (previously figure 7)
While there is clearly significant clustering between cells that express wtTP53 and
mutTP53, there is no significant correlation between prevalence of cells in G1-phase or G2-
phase of the cell cycle and radiosensitivity for the 15 cell lines.
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Discussion:
Our data provide a detailed description of LDR radiosensitivity and LDR-induced cell
cycle redistribution over dose, time, histological type and genotype for multiple human tumor
cells. The levels of survival that we observe in our several studies are similar to those published
by other authors [9-12, 16]. However we can make several novel conclusions:
1. Cellular radiosensitivity to LDR irradiation falls into genotype-specific
radiosensitivity groups. Data in figures 1 and 2 show that radiosensitivity to both HDR and
LDR irradiation segregates into four groups, survival levels in each group being statistically
different than those for other groups. The slopes of cell killing at 2 Gy HDR and 6 Gy LDR
correlate strongly and it is only at higher doses (> 4 Gy) that HDR response increases and only
after times subsequent to 24 hours does LDR radiosensitivity change in a genotype-dependent
manner (figures 1, 2 and 3). These studies show for the first time that radiosensitivity to LDR, as
we have previously shown for HDR segregate into four radiosensitivity groups that associate
each with one of four specific genotypes: mutant ATM, wildtype TP53, mutant TP53 and an
unidentified gene in some radioresistant glioblastoma cells, “glio”.
Our studies show that certain other genes do not modulate HDR or LDR radiosensitivity
before 24 hours: CDKN1A, 14-3-3σ, Ki-ras and several genes involved in DNA mismatch
repair.
2). There is a distinct change in LDR radiosensitivity and LDR-induced
redistribution at circa 24 hours. Our data demonstrate there are changes in LDR
radiosensitivity in all cells circa 20 to 30 hours and data in figure 6 also show there are also
changes in cell-cycle redistribution beginning at approximately the same times. We have
previously shown that there are distinct changes in cell cycle redistribution and changes in
expression of apoptosis at these same time frames [4]. While the extent of this change for longer
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durations is dependent on genotype, the time at which this transition occurs is independent of
genotype. The data in this paper reinforce our earlier hypothesis that cellular processing of
radiation damage can be considered to fall into two distinct time-dependent phases: an “acute
phase” (0 to ~24 hours) and a “post-acute response” (~ 24 to greater than 72 hours).
3) There is only partial correlation between changes in LDR radiosensitivity and
changes in LDR-induced redistribution in the cell cycle. Several authors have proposed that
changes in LDR radiosensitivity, at least at higher doses and longer exposure durations,
correlates with radiation-induced changes in the cell-cycle, particularly Knox et al. [16]. Our
data only partially supports this data and only for wtTP53 and mutTP53 cell lines. When other
cell lines that vary in genotype are considered (figure 6) there is no correlation between cell
killing circa 48 to 72 hours and prevalence of cells in G1 and G2 phases of the cell cycle at that
time (figure 6). During the fist 24 hours aspects of HDR radiosensitivity and LDR
radiosensitivity correlate strongly with the four genotypes specified above. After circa 24 hours,
there are distinct changes in LDR radiosensitivity and redistribution appear modulated by six
specific genotypes: mutATM, wtTP53, mutTP53, abrogated TP53, abrogated 14-3-3σ and
abrogated CDKN1A in a wildtype TP53 background. Changes in LDR radiosensitivity have not
been reported by others on the basis of cell genotype.
4). Relative radiosensitivity to both LDR irradiation and HDR irradiation suggest a
simple model of cellular radiosensitivity. Our data suggest a simple segmented response
model that describes LDR and HDR radiosensitivity and this is shown in figure 7.
Insert figure 7 (previously figure 8)
This model suggests a novel relationship between HDR and LDR radiosensitivity. This
model is based on our studies at a dose-rate of (0.25 Gy/hr) and we will describe the effect of
variation in dose-rate elsewhere. The model proposes response for 1-2 Gy HDR and 2-6 Gy
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LDR, expresses a common radiosensitivity, designated as α (HDR/LDR). This model proposes
this common radiosensitivity persists and determines survival until one of two events occur 1).
HDR irradiation induces a more sensitive component at dose between 2 to 4 Gy; or 2) at circa 24
hours of LDR irradiation there is a time-dependent change in radiosensitivity to ω(LDR). The
values of α(HDR/LDR), ω(HDR) and ω(LDR) are genotype-dependent.
While the model in figure 7 is highly conjectural, it is consistent with other data in the
literature. For the first time figure 7 outlines a method for quantitative prediction, using the
parameters in table 1, of total cell killing by LDR irradiation.
5. Possible explanation of the inverse dose-rate effect: We hypothesize that the inverse dose-
rate effect reflects genotype-dependent, time-dependent changes during LDR radiosensitivity.
Cell killing by exposure to LDR radiosensitivity (0.25 Gy/hr and higher) for durations that
extend beyond 24 hours, can be resolved into two components of cell killing. Cell killing for the
first 24 hours is predicted as the product of the coefficient α(HDR/LDR) and dose. Additional
cell killing beyond 24 hours is predicted by the product of ω(LDR) and that increment of dose
delivered subsequent to 24 hours; this second component killing fewer or more cells per unit
dose than cell killing before transition depending on cell genotype. The inverse-dose-effect is
observed, according to our model, only in cells for which longer durations lead to increased cell
killing which would be R and VR cells. Our model would also predict this effect is observed
only over dose-rates that exceed approximately 0.25 Gy/hr and only for doses delivered for
durations significantly greater than 24 hours. Cell killing at these longer durations would reflect
increased cell killing in R and VR cells due to the increased killing per unit dose of the ω(LDR)
component. At higher dose-rates when total doses are delivered in less than 24 hours, the
additional cell killing per unit dose observed at longer durations would not contribute to overall
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survival. Therefore as dose-rates are increased survival levels would increase, the definition of
the inverse dose-rate effect.
6. Possible Clinical application of LDR: There is a large data base associating in vitro
radiosensitivity of tumor cells after HDR irradiation with radiocurability of tumors of the same
histological type [25, 26]. West et al [27] shows correlation between survival levels of explanted
tumor cells and clinical response of tumors from which cells have been explanted [27]. In vitro
radiosensitivity has also been used to predict tumor response of changes in clinical protocols
based on the concept of Biologically-effective-dose (BED) [28-30]. Thus, our studies on in vitro
radiosensitivity of tumor cells treated with LDR irradiation can be considered as a first
approximation of possible response of tumors treated with this type of irradiation. We have
described possible use of LDR in the clinic [1] and propose that there are distinct possible
applications of this radiotherapy modality either as direct cytotoxic therapy such as in
brachytherapy or as a tool to sensitize tumors to subsequent HDR fractions or hypofractions.
Possible clinical applications include:
Direct Cytotoxic Therapy Using LDR. Our data strongly suggest that tumors
comprised of cells that express genotypes that associate with R (mutTP53) and VR (glio)
radiosensitivity groups should become more sensitive to cell killing during protracted irradiation
while tumors comprised of cells that express wtTP53 would become more resistant. In tumors
such as prostate where there is an alternative between brachytherapy and external beam
fractionated therapy, our data suggest the status of TP53 expression might be considered in
making this choice. Tumors whose cells express wtTP53 may respond better to fractionated
external beam avoiding the increase in radioresistance seen at longer LDR irradiation, but tumors
whose cells express mutTP53 may respond better to brachytherapy since our data predict they
would become more sensitive under protracted irradiation. We will investigate these predictions
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elsewhere. This would only be valid if dose-rates were 0.25 Gy or higher and durations at this
dose-rate extends over durations greater than 24 to 48 hours. The extent of cell killing by such
therapies could be predicted from the model in figure 7. This prediction must be confirmed by
pre-clinical studies before considering clinical application.
Concomitant LDR Effects on Tumors and Normal Tissue: Another interesting concept
for possible therapeutic use of LDR should consider the possibility that longer durations of LDR
would sensitize tumors whose cells express mutTP53, but could simultaneously render normal
tissues more resistant if such tissues respond to extended LDR irradiation as would tumor cells
that express wtTP53. Thus LDR irradiation of tumors and the immediate surrounding normal
tissue might increase the therapeutic ratio. This implication can be tested in xenograft tumors
systems and LDR toxicity studies in appropriate animals.
LDR Sensitization of Tumors to HDR: Another strategy that we think should be
investigated further is the extent to which LDR irradiation can sensitize tumors to HDR fractions
or hypofractions. We have demonstrated that LDR at very low dose-rates (0.01 to 0.03 Gy/hr)
delivered over long durations (> 48 hours) can sensitize tumor cells preferentially to large
fractions of external beam [31, 32]. We have also shown that LDR in combination with HDR
and IUdR induces complete regression in xenograft tumors comprised of malignant glioma tumor
cells [33]. We will publish data elsewhere to show that radioresistant glioma cells may be
especially sensitive to LDR irradiation compared to other cell genotypes.
Predicting total cells killed by LDR irradiation. The analytical structure shown in
figure7, coupled with the quantitative structure of our data bases, shown in table 1 and references
1 and 2, can be used to make a quantitative prediction of relative differences in total cells killed
by conventionally-fractionated radiotherapy, hypofractionated radiotherapy or LDR radiotherapy.
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References:
1. Gridley DS, Williams JR, Slater J.M. 2005 Low-dose/low-dose-rate radiation: a feasible strategy
to improve cancer radiotherapy? Cancer Therapy 3:105-130, 2005.
2. Williams J.R., Zhang Y., Russell J., Koch C., Little J. 2007 Human Tumor Cells Segregate into
Radiosensitivity Groups that Associate with ATM and TP53 Status. Acta Oncologica; 46(5):628-
38.
3. Williams J, Zhang Y, Russell J, Gridley D, Koch C, Slater J, and Little J. Quantitative Overview of
Human Tumor Radiosensitivity Across Histological Type and TP53 status. International Journal
of Radiation Biology. In press.
4. Williams JR, Zhang Y, Zhou H, Russell J, Koch CJ. Little JB. 2007 Genotype-dependent
radiosensitivity: Clonogenic Survival, Apoptosis and Redistribution in the Cell Cycle.
International Journal of Radiobiology (in press).
5. Elkind MM, Sutton H. X-ray damage and recovery in mammalian cells in culture. 1959 Nature.
1959 Oct 24;184:1293-5.
6. Terasima T, Tolmach LJ. 1961. Changes in x-ray sensitivity of HeLa cells during the division cycle.
Nature. Jun 24;190:1210-11.
7. Lajtha LG, Oliver R. 1962. Cell population kinetics following different regimes of irradiation.
British Journal of Radiology. Feb 35:131-40.
8. Bedford JS, Hall EJ. 1963. Survival of HeLa cells cultured in vitro and exposed to protracted
gamma-irradiation. International Journal of Radiation Biology: Related Studies in Physics
Chemistry and Medicine 45, 377-383.
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9. Hall EJ, Bedford JS. 1964. Dose rate: its effect on the survival of HeLa cells irradiated with gamma
rays. Radiation Research 22, 305-315.
10. Bedford JS, Mitchell JB. 1973 Dose-rate effects in synchronous mammalian cells in culture.
Radiat Res. May; 54(2):316-27.
11. Hall EJ, Brenner, DJ. 1991 The dose-rate effect revisited: radiobiological considerations of
importance in radiotherapy. International Journal of Radiation Oncology Biology and Physics
21, 1403-1414. (1991).
12. Mitchell JB, Bedford JS. 1977. Dose-rate effects in synchronous mammalian cells in culture. II. A
comparison of the life cycle of HeLa cells during continuous irradiation or multiple-dose
fractionation. Radiation Research 71, 547-560.
13. Mitchell JB, Bedford JS, Bailey SM. 1979. Dose-rate effects on the cell cycle and survival of S3
HeLa and V79 cells. Radiation Research 79(3): 520-536.
14. Mitchell JB, Bedford JS, Bailey SM. 1979. Dose-rate effects in plateau-phase cultures of S3 HeLa
and V79 cells. Radiation Research 79(3):552-67.
15. van Oostrum IEA, Erkens-Schulze S, Petterson M, Wils IS, Rutgers DH. 1990. The relationship
between radiosensitivity and cell kinetic effects after low- and high-dose-rate irradiation in five
human tumors in nude mice. Radiat Research 122, 252-261. (1990)
16. Knox, S. J., W. Sutherland, Goris ML. 1993. "Correlation of tumor sensitivity to low-dose-rate
irradiation with G2/M-phase block and other radiobiological parameters." Radiation Research
135(1): 24-31.
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17. Bristow RG Benchimol S and Hill RP 1996 The p53 gene as a modifier of intrinsic
radiosensitivity: implications for radiotherapy. Radiotherapeutic Oncology; 40:197-223.
18. Dahm-Daphi J p53: biology and role for cellular radiosensitivity. Strahlentherapie und Onkologie;
176:278-285.9 2000.
19. Matsui Y Tscuchida Y Keng PC 2001 Effects of p53 mutations on cellular sensitivity to ionizing
radiation. American Journal of Clinical Oncology. Oct;24(5):486-90.
20. Weber KJ, Wenz F. 2000 p53, Apoptosis and radiosensitivity –experimental and clinical data.
Onkologie; 25: 136-141.
21. Hartwell, LH. Wiener, TA 1989 “Checkpoints: Controls that ensure the order of cell cycle events”.
Science 246: 629.
22. Bernhard, E. J., A. Maity, Muschel RJ, McKenna WG. 1995. "Effects of ionizing radiation on cell
cycle progression. A review." Radiation and Environmental Biophysiscs 34(2): 79-83.
23. McIlwrath AJ, Vasey PA, Ross GM, Brown R. 1994 Cell cycle arrests and radiosensitivity of human
tumor cell lines: dependence on wild-type p53 for radiosensitivity. Cancer Research. Jul
15;54(14):3718-22.
24. Pellegata, NS, Antoniono RJ, Redpath JL, Stanbridge EJ. 1996. DNA damage and p53-mediated
cell cycle arrest: a reevaluation. Proceedings of the National Academy of Science U S A 93(26):
15209-14
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25. Fertil B, Malaise EP. 1985 Intrinsic radiosensitivity of human cell lines is correlated with
radioresponsiveness of human tumors: analysis of 101 published survival curves. Int J Radiat
Oncol Biol Phys. Sep;11(9):1699-707.
26. Malaise EP, Fertil B, Chavaudra N. and Guichard M. 1986 Distribution of radiation sensitivities
for human tumor cells of specific histological types: comparison of in vitro to in vivo data.
International Journal of Radiation Oncology Biology and Physics. Apr;12(4):617-24.
27. West, C.M., Davidson, S.E., Roberts, S.A. & Hunter, R.D. 1997. The independence of intrinsic
radiosensitivity as a prognostic factor for patient response to radiotherapy of carcinoma of the
cervix. Br J Cancer 76, 1184-90
28. Jones B, Dale RG, Deehan C, Hopkins KI, Morgan DA. The role of biologically effective dose
(BED) in clinical oncology. Clin Oncol (R Coll Radiol). 2001;13(2):71-81.
29. Fowler JF. 2005 The radiobiology of prostate cancer including new aspects of fractionated
radiotherapy. Acta Oncol. 2005;44(3):265-76.
30. Haustermans K, Withers HR. The biological basis of fractionation. Rays. 2004 Jul-
Sep;29(3):231-6.
31. Williams JR, Zhang Y, Dillehay LE. 1992. Sensitization processes in Human Tumor Cells
During Protracted Irradiation: Possible Exploitation in the Clinic. International Journal of
Radiation Oncology Biology and Physics, 24(4), 699-704.
32. Williams JA, Williams JR, Xuan Y, Dillehay, L.E. 1998 Protracted exposure radiosensitization
of experimental human malignant glioma. Radiation Oncology Investigations., 6:255-263, 1998
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33. Yuan X, Dillehay LE, Williams JR, Williams JA. 2001 IUdR Polymers for Combined
Continuous Low-dose Rate Sensitization of Experimental Malignant Gliomas. International
Journal of Cancer (Radiotherapeutic Oncology Investigations) 96: 118-125.
Acknowledgements: We express our appreciation to Bert Vogelstein and Ken Kinzler for
discussions and providing colorectal tumor cells. We express our appreciation to Dr. Ted
DeWeese for providing data on prostate and bladder cell lines.
Figure and Table Legends:
Figure 1: LDR, HDR responses in four groups of human tumor cells that vary in genotype
and radiosensitivity to HDR irradiation as defined in Williams et al. [1, 2]. Panel A: HDR,
Panel B: LDR. In each panel data are shown for cells from four radiosensitivity groups
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and are designated as VR (very resistant) that includes three resistant glioblastoma cell line
(U251, T98, U87), R (resistant) that includes four cell lines that express mutant TP53
(DLD-1, WiDR, HT29, SW480), S (sensitive) that includes four cell lines that express
wildtype TP53 (HCT116, RKO, CBS, LS174T) or VS (very sensitive) that includes a single
cell line that is mutant in ATM. . Error bars represent the standard error of the mean
with n=9 for VR cells, n=12 for R cells, n=12 for S cells and n=3 for VS cells and are shown
where the error bars (SEM) are larger than the symbol.
Figure 2. LDR and HDR survival patterns for each of the four radiosensitivity groups:
Panel A: VS radiosensitivity group (n= 3). Panel B: S radiosensitivity group (n=12). Panel
C: R radiosensitivity group (n = 12). Panel D: VR radiosensitivity group (n =9). The slopes
for α(LDR) and α(HDR) are shown as dotted lines in each panel. Error bars represent
standard errors of the means.
Figure 3: Correlation patterns between four parameters that describe LDR and HDR
radiosensitivity for 27 cell lines. Panel A: α(LDR) versus α(HDR); Panel B: ω(LDR) versus
ω(HDR); Panel C: α(LDR) versus ω(LDR); Panel D: α(HDR) versus ω(HDR). Each point
is an individual measurement derived by linear regression of dose segments as described in
the text. Specific cell lines are identified for comparison between panels: U251 and U87, the
most resistant cell lines, SW1222 the most sensitive cell line and two manipulated lines,
379.2 is abrogated in TP53 and 14-3-3σ-/- is abrogated in that gene. Cell lines that lie
outside two standard deviations from other cells in their radiosensitivity groups are also
identified by name: Panel A, LNCap and 14-3-3σ -/-; Panel B, PPC-1 and 379.2; Panel C,
HCT-116 and Panel C, PPC-1.
Figure 4: Changes in the rate of cell killing in 27 human tumor cells during LDR
irradiation between 24 and 72 hours. Cell lines are identified individually. Solid symbols
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indicate values for α(LDR) for each cell line and open symbols indicate terminal rate of cell
killing at 72 hours. Arrows indicate the direction of change.
Figure 5: Comparison of changes in surviving fraction (top panel) and radiation-induced
changes in prevalence of cells in different phases of the cell cycle (lower three panels) as a
function of duration of irradiation at 0.25 Gy/hr. Redistribution is expressed as % of total
cells in G1, S and G2-phases of the intermitotic cycle. The line representing S cells is the
mean of four unmanipulated human colorectal tumor cells that express wtTP53 and the
line representing R cells is the mean of four unmanipulated human colorectal tumor cell
lines that express mutTP53. Redistribution data for S and R cells are the means of four cell
lines each (n=4), data for SW1222 cells are single measurements.
Figure 6: Prevalence of cells in the G1 phase of the cell cycle (upper panel) and in the G2
phase of the cell cycle (lower panel) at 48 hours of LDR irradiation compared to
radiosensitivity of each cell line at that time point. Regression lines are shown for all data.
Data points are individual measurements.
Figure 7: Cartoon of a simple multi-segment (MS) model for radiosensitivity to HDR and
LDR irradiation. The coefficient αS is the slope of the low-dose hyper-radiosensitive
response that is overcome at higher doses; α (HDR/LDR) is the common slope of the
response induced by HDR and LDR; ω(HDR) is the slope of an increased radiosensitivity
induced in all cells between 2-4 Gy HDR; and ω(LDR) is the LDR time-dependent
induction of increased resistance (S cells) or increased sensitivity (R cells). This model is
applicable for low dose-rates in the range of approximately 0.25 Gy/hr.
Table 1: Genetic and radiobiological characteristics of 27 cell lines. Each cell line is
described by histological type, radiosensitivity group, molecular characteristics, TP53
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expression status and four coefficients that describe HDR and LDR radiosensitivity.
Radiosensitivity groups are defined on the basis of values of α(HDR) as described in
Williams et al [1, 2].
Table 2: Statistical analysis of four coefficients that describe LDR and HDR
radiosensitivity at lower and higher doses. For wtTP53 cells n = 11; for mutTP53 cells, n =
12.
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Figure 1: LDR, HDR responses in four groups of human tumor cells that vary in
genotype and radiosensitivity to HDR irradiation as defined in Williams et al. [1, 2].
Panel A: HDR, Panel B: LDR. In each panel data are shown for cells from four
radiosensitivity groups and are designated as VR (very resistant) that includes three
resistant glioblastoma cell line (U251, T98, U87), R (resistant) that includes four cell
lines that express mutant TP53 (DLD-1, WiDR, HT29, SW480), S (sensitive) that
includes four cell lines that express wildtype TP53 (HCT116, RKO, CBS, LS174T)
or VS (very sensitive) that includes a single cell line that is mutant in ATM. . Error
bars represent the standard error of the mean with n=9 for VR cells, n=12 for R
cells, n=12 for S cells and n=3 for VS cells and are shown where the error bars
(SEM) are larger than the symbol.
HDR
-6
-5
-4
-3
-2
-1
0
0 2 4 6 8 10 (Gy)
Lo
g S
F
VR
R
S
VS
A LDR
-6
-5
-4
-3
-2
-1
0
0 6 12 18 24 (Gy)
Lo
g S
F
VR
RS
VS
B
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Figure 2. LDR and HDR survival patterns for each of the four radiosensitivity
groups: Panel A: VS radiosensitivity group (n= 3). Panel B: S radiosensitivity
group (n=12). Panel C: R radiosensitivity group (n = 12). Panel D: VR
radiosensitivity group (n =9). The slopes for α(LDR) and α(HDR) are shown as
dotted lines in each panel. Error bars represent standard errors of the means.
C S
-8
-6
-4
-2
0
0 5 10 15 20 25 (Gy)
Lo
g S
F
α(LDR)α(HDR)
B R
-4
-3
-2
-1
0
0 5 10 15 20 25 (Gy)
Lo
g S
F
α(LDR)α(HDR)
A VR
-4
-3
-2
-1
0
0 5 10 15 20 25 (Gy)
Lo
g S
F
α(LDR)
α(HDR)
D VS
-8
-6
-4
-2
0
0 5 10 15 20 25 (Gy)
Lo
g S
F
α(LDR)
α(HDR)
HDR LDR
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Correlation Between Coefficients that Describe LDR, HDR Radiosensitivity
Figure 3: Correlation patterns between four parameters that describe LDR and HDR radiosensitivity for 27 cell lines. Panel A: α(LDR) versus α(HDR); Panel B: ω(LDR) versus ω(HDR); Panel C: α(LDR) versus ω(LDR); Panel D: α(HDR) versus ω(HDR). Each point is an individual measurement derived by linear regression of dose segments as described in the text. Specific cell lines are identified for comparison between panels: U251 and U87, the most resistant cell lines, SW1222 the most sensitive cell line and two manipulated lines, 379.2 is abrogated in TP53 and 14-3-3σ-/- is abrogated in that gene. Cell lines that lie outside two standard deviations from other cells in their radiosensitivity groups are also identified by name: Panel A, LNCap and 14-3-3σ -/-; Panel B, PPC-1 and 379.2; Panel C, HCT-116 and Panel C, PPC-1.
α (LDR) and ω (LDR)
R2 = 0.0187
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0 0.1 0.2 0.3
ω LDR
αLD
R
wt TP53 S
14-3-3σ -/-
SW1222
U251
379.2
HCT116
U87
Cα (HDR) and ω (HDR)
R2 = 0.4969
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0 0.1 0.2 0.3 0.4 0.5 0.6
ω HDR
αH
DR
mt TP53 R null TP53
14-3-3σ -/-SW1222
U251
379.2
U87
PPC-1
D
α (LDR) and α (HDR)
R2 = 0.8764
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0 0.1 0.2 0.3 0.4
α HDR
αLD
R
14-3-3σ -/-
SW1222
U251
379.2
LNCapU87
Aω (LDR) and ω (HDR)
R2 = 0.0543
0
0.05
0.1
0.15
0.2
0.25
0.3
0 0.1 0.2 0.3 0.4 0.5 0.6
ω HDR
ωLD
R
14-3-3σ -/-SW1222
U251
379.2
PPC-1
U87
B
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0.05
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72 hours
α (LDR)
average α of S Cells
average α of R Cells
Bladder
14-3
-3 σ
+/+
14-3
-3 σ
-/-
Figure 4: Changes in the rate of cell killing in 27 human tumor cells during LDR irradiation between 24 and 72 hours. Cell lines are identified individually. Solid symbols indicate values for α(LDR) for each cell line and open symbols indicate rate of cell killing at 72 hours. Arrows indicate the direction of change.
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nlyLDR Radiosensitivity and Radiation-induced Cell-Cycle
Changes in Three Radiosensitivity Groups.
0102030405060708090
0 8 16 24 32 40 48 56 64 72 80 88 96 (hrs)
G1
(%)
010
203040
506070
8090
0 8 16 24 32 40 48 56 64 72 80 88 96 (hrs)
S (%
)
0
1020
3040
5060
7080
90
0 12 24 36 48 60 72 84 96 (hrs)
G2
(%)
S cells R cells SW1222
-6
-5
-4
-3
-2
-1
0
0 6 12 18 24(Gy)
Log S
F
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nlyFigure 5: Comparison of changes in surviving fraction (top panel) and radiation-
induced changes in prevalence of cells in different phases of the cell cycle (lower
three panels) as a function of duration of irradiation at 0.25 Gy/hr. Redistribution
is expressed as % of total cells in G1, S and G2-phases of the intermitotic cycle. The
line representing S cells is the mean of four unmanipulated human colorectal tumor
cells that express wtTP53 and the line representing R cells is the mean of four
unmanipulated human colorectal tumor cell lines that express mutTP53.
Redistribution data for S and R cells are the means of four cell lines each (n=4),
data for SW1222 cells are single measurements.
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nlyRadiosensitivity and Cell Cycle Prevalence
Radiosensitivity versus G1 Prevalence
R2 = 0.0046
0102030405060708090
0 0.05 0.1 0.15 0.2 0.25
%C
ells
inG
1(4
8hrs
)LD
R
379.2SW1222
Radiosensitivity versus G2 Prevalence
R2 = 0.1057
0102030405060708090
0 0.05 0.1 0.15 0.2 0.25
Radiosensitivity (LogSF/Gy) at 48 hours
%C
ells
inG
2(4
8hrs
)LD
R
wt p53 mt p53 null p53
SW1222
379.2
Figure 6: Prevalence of cells in the G1 phase of the cell cycle (upper panel) and in
the G2 phase of the cell cycle (lower panel) at 48 hours of LDR irradiation
compared to radiosensitivity of each cell line at that time point. Regression lines
are shown for all data. Data points are individual measurements.
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nly0 2 4 6 8 10 12 14 16 18 Dose
Log
Surv
ivin
gFr
actio
n
Dose-depenent change in HDR radiosensitivity
circa 2-4Gy
αs
Time-depenent change in LDR radiosensitivity
at 24 hrs
ω (HDR)ω (LDR)R cells
α (HDR, LDR)Genotype
dependent
ω (LDR)S cells
Figure 7: Cartoon of a simple multi-segment (MS) model for radiosensitivity to
HDR and LDR irradiation. The coefficient αS is the slope of the low-dose hyper-
radiosensitive response that is overcome at higher doses; α (HDR/LDR) is the
common slope of the response induced by HDR and LDR; ω(HDR) is the slope of an
increased radiosensitivity induced in all cells between 2-4 Gy HDR; and ω(LDR) is
the LDR time-dependent induction of increased resistance (S cells) or increased
sensitivity (R cells). This model is applicable for low dose-rates in the range of
approximately 0.25 Gy/hr.
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nly
Molecular and Radiobiological Characteristics of Human Tumor Cell Lines
HistologicalType
RadGroup
CellLine Comments
TP53status
α(LDR)
α(HDR)
ω(LDR)
ω(HDR)
VS SW1222 Mutant in ATM null 0.30 0.38 0.23 0.56LS174T wt 0.26 0.23 0.14 0.42HCT116 wt 0.36 0.32 0.092 0.4240-16 Clone of HCT116 wt 0.21 0.21 0.15 0.41379.2 TP53 double knockout from 40-16 null 0.23 0.19 0.037 0.3614-3-3σ+/+ Clone of HCT116 wt 0.26 0.14 0.083 0.3714-3-3 σ-/- Double knockout from 14-3-3σ+/+ wt 0.24 0.32 0.19 0.37
N6CHR3HMLH1 on chromosome 3 added to HCT116
wt 0.28 0.24 0.078 0.34
80S4CDKN1A double knockout from HCT116 wt 0.28 0.24 0.070 0.40
RKO wt 0.21 0.15 0.13 0.36
S
LOVO wt 0.28 0.21 0.083 0.36DLD-1 p53: 241ser - phe mt 0.088 0.052 0.083 0.30
19S186CDKN1A double knockout from DLD-1
mt 0.064 0.078 0.099 0.32
SW480 p53:248 arg - his mt 0.14 0.10 0.18 0.27WiDR p53:273 arg - his mt 0.077 0.061 0.15 0.24HT29 p53:273 arg - his mt 0.11 0.096 0.21 0.22SW1116 mt 0.14 0.16 0.13 0.27CaCO-2 null 0.074 0.090 0.070 0.28
Colorectal
R
CaCO-2-neo-ras
k-ras-/- - k-ras+/+ null 0.10 0.070 0.075 0.29
U251 P53:273arg - his mt 0.066 0.031 0.13 0.098U87 wt 0.055 0.017 0.17 0.31Glioblastoma VRT98G mt 0.095 0.058 0.070 0.13LNCap wt 0.16 0.29 0.12 0.41PPC-1 mt 0.15 0.10 0.24 0.51SPC-3 mt 0.12 0.065 0.15 0.29Prostate
R DU145p53:274 pro - leu223 val - phe
mt 0.079 0.10 0.17 0.24
Bladder R TSU mt 0.094 0.11 0.19 0.30
Table 1: Genetic and radiobiological characteristics of 27 cell lines. Each cell line is described by histological type, radiosensitivity group, molecular characteristics, TP53 expression status and four coefficients that describe HDR and LDR radiosensitivity. Radiosensitivity groups are defined on the basis of values of α(HDR) as described in Williams et al [1, 2].
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nlywt TP53 versus mut TP53
Coefficient t values p values
α(LDR) 5.49 <0.001
α(HDR) 4.79 <0.001
ω(LDR) -1.45 0.163
ω(HDR) 3.47 0.002
Table 2: Statistical analysis of four coefficients that describe LDR and HDR radiosensitivity at lower and higher doses. For wtTP53 cells n = 11; for mutTP53 cells, n = 12.
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