3
Survival curve formammalian cells
Graphical parameters describing shape of cell
Survival curve
n-
EXTRAPOLATION NUMBER
Do-
RECPROCAL OF FINAL SLOPE
Dq-
DEFINES SIZE OF SHOULDER REGION
4.
4
Significance of cellsurvival curves
The radiosensitivities for normal tissues can be
illustrated by plotting surviving fraction vs dose
resulting from clonogenic assays
There is a substantial range of sensitivities, with
shoulder width being the main variable
Single dose survival curves have been measured
for many established cell lines grown in-vitro
5.
5
Significance of cellsurvival curves
These survival curves seem to show relatively small differences
between the intrinsic radiosensitivities of different cell populations,
in terms of Do
>> In-vitro cell survival curves give an indication of the intrinsic
radiosensitivity of a cell population – Do
>> The Do of the x-ray survival curve falls in the range of 1 -2Gy
These Do values provide some indication of the radiosensitivity of
the different cell populations
6.
6
Significance of cellsurvival curves
However, they only provide a measure of the final slope of the
curve, usually over a dose range in excess of about 20Gy
In addition, they provide little explanation for the wider differences
in the radiosensitivity of both tumours & normal tissue that are found
in clinical practice
There is a much larger variation in values for Dq, which reflects the
size of the shoulder region
There is also evidence for a wide variation in the extrapolation
number, n, for human tumour cell populations
The values range from 1.1 for Burkitt lymphoma to 163 for
adenocarcinoma of the rectum
7.
7
Significance of cellsurvival curves
An alternative parameter of radiosensitivity has been suggested,
and is perhaps more relevant to the doses used in fractionated
radiotherapy & would take into account the variation in shoulder
size
The surviving fraction is noted in the 2Gy level & this is then used as
a basis for comparison btw different human tumours
It was found that the survival levels varied btw 0.18 & 0.77
This is more than a four – fold range in ‘radiosensitivity’ & would
seem to be much more in accord with clinical experience
8.
8
Human tumour-cell survival
Survivingfraction at 2Gy varies btw 0.18 & 0.77, more
than a four-fold range in radiosensitivity (table below)
Tumour type Do (Gy) N Survival at 2Gy
Melanoma 1 40 0.77
Melanoma 1.05 23 0.61
Colon 1.00 5.5 0.4
Colon 0.88 30 0.57
Rectum 0.7 163 0.54
Cervix 1.3 3.8 0.48
Cervix 1.07 4.4 0.42
Pancreas 1.00 1.5 0.22
Burkitt 1.25 1.1 0.18
9.
9
Radiation Damage
LethalDamage
>> Irreversible, irreparable, leading to cell death
Sublethal Damage (SLD)
>> under normal conditions can be repaired in hours
unless additional sublethal damage is attained
10.
10
Sublethal Damage
Whena dose of radiation is divided into 2 equal
doses separated by an interval of time, the
surviving fraction of cells was larger than if the
same total dose were given as a single dose
Split dose experiments illustrate SLD
Increase in survival is due to sublethal damage
(SLD) repair
13
Sublethal Damage
Degreeof sublethal damage agrees well with
size of shoulder on cell survival curve
Broad Shoulder: relatively large amount of SLD
repair
Narrow shoulder: relatively lower amount of SLD
repair
Correlation with linear-quadratic model in terms
of α/β
15
Normal tissue structure
Differentiation
>> a differentiated cell is one that is specialised functionally or
morphologically
Stem cell population
>> relatively undifferentiated
Transit cell population
>> may or may not divide in transit
Static cell population
>> fully differentiated
16.
16
Types of mammaliancell
Epithelial tissue: cells that grow into sheets that cover organs & line
cavities e.g. skin cuboidal cells lining ducts from glands such as
salivary glands, columnar cells lining digestive tract
Connective tissue cells form the structural units of the body, e.g.
bone cartilage, tendon
Muscular tissue cells are arranged in sheets or bundles
Nervous tissue includes brain, spinal cord & nerves. E.g. neuron is an
elongated cell with a very specialised function
Blood cells e.g. RBCs transport haemoglobin, WBCs produced in the
bone marrow deal with infections, lymphocytes are also involved in
the body defence system
17.
17
Cell populations &kinetic properties
No mitosis
No renewal
Low mitotic index
Little or no cell renewal
Frequent mitosis
Cell renewal
CNS
Sense organs
Adrenal medulla
Liver
Thyroid
Vascular endothelium
Connective tissue
Epidermis
Intestine epithelium
Bone marrow
Gonads
18.
18
Radiation Pathology
Theresponse of a tissue or organ to radiation depends primarily on 2
factors:
1. Inherent sensitivity
2. Population kinetics
Tissues composed of highly differentiated cells performing
specialised functions exhibit little or no mitotic activity therefore
exhibit relative radioresistace
In a self renewing tissue loss of stem cells occurs after relatively low
dose (a few Gy)
The time interval btw irradiation & its expression in tissue damage is
variable
19.
19
Normal tissues-tolerance
Totaldose can be tolerated depends on the
volume of tissue irradiated
Tolerance dose is that dose which produces an
acceptable probability of a treatment
complication
The spatial arrangement of the FSUs is critical
20.
20
Normal tissues-functional subunits
Radiation tolerance depends on the ability of the
clonogenic cells to regenerate producing mature cells
structured to maintain organ function
Tissues can be thought of as consisting of functional
subunits (FSUs)
In some tissues, the FSUs are discrete, anatomically
delineated structures whose relationship to tissue
function is clear, e.g. the nephron in the kidney, the
lobule in the lung
In other tissues, the FSUs have no clear anatomical
demarcation, e.g. the skin, the mucosa & the spinal cord
21.
21
Normal tissues-volume effect
Where the FSUs are arranged serially, the integrity of each is critical
to organ function, e.g. the spinal cord, death of critical cells in any
one segment will result in complete failure of the organ
Tissues in which FSUs are not arranged serially tend not to show a
volume effect at lower levels of injury
Healing can occur from surviving clonogens scattered throughout
the treatment volume, e.g. skin, mucosa
However, although the severity of a skin reaction is relatively
independent of the area irradiated, how this injury is tolerated is not
independent of the area irradiated
So clinically there will in fact still be a volume effect
23
Cancer
Cancer ischaracterised by a disorderly
proliferation of cells that can invade adjacent
tissues & spread via the lymphatic system or
blood vessels to other parts of the body
Aim of radiotherapy is to deliver enough
radiation to the tumour to destroy it without
irradiating normal tissue to a dose that will lead
to serious complications (morbidity)
24.
24
The Molecular BiologicalHallmark of
Cancer
There is simple evidence to support the
hypothesis that human tumours arise as part of a
sequential multi-step process
Each step reflecting the accumulation of
genetic alterations that confer a survival
advantage on the evolving malignant cell
27
Dose Response Curve
Plot of a biological effect observed (e.g. tissue
response) again the dose given is called a dose
response curve
Dose response may refer to:
>> Clonogenic end points i.e. cell survival
>> Functional end points
Generally, as the dose increases so does the
effect
28.
28
Dose Response
ClonogenicAssay
- The endpoints observed depends directly on the reproductive
integrity of individual cells – cell survival curves
Dose response relationships
- Can be obtained repeatedly & each quantitative but
that depend on Functional Endpoints, such as skin reactions
- A dose-response curve can be inferred for tissue in which it
cannot be observed directly
Dose-Response dependent on cell & tissue type
29.
29
Dose Response Relationship–
Acute & late effects
Acute & late effects tissues exhibit differing responses to a given
dose of radiation & the cells involved exhibit different cell survival
shapes particularly in the shoulder region
When the cell survival (or dose response) curve is studied late-
responding tissues have a more curved dose-response relationship
than for acute or early responding tissues
Differences in shoulder shape of the underlying dose-response curves
due to the significance of the component of single-hit killing & repair
Broader shoulder indicates repair of sublethal damage
This difference is reflected in the linear-quadratic relationship for
these tissues
30.
30
Linear Quadratic Model
Produces a continuously bending survival curve,
which has the expected initial slope but which
never becomes exponential, even at high doses
This model has been applied to data relating to
the tolerance of normal tissues to various
alternative fractionation regimes used in
radiotherapy
31.
31
Dose Response
Linear Quadratic- Relationship
Equation describing survival as a function of dose
S = e-αD-βD
S is surviving fraction, D is single dose (or dose per fraction,
d)
Coefficients α & β from this equation describe individual
cell type survival curves
Ratio of coefficients α/β important in radiotherapy,
indicating the response of tissue to a radiation
32.
32
Dose Response Relationship
α/βRatio
In general, α/β is larger (about 10 Gy) for acute effect than for late
effects (about 2 Gy)
α represents the linear (i.e 1st
order dose dependent) component of
cell killing – single hit
β represents the quadratic ( i.e 2nd
order dose dependent)
component of cell killing – repairable component of cell killing
α/β ratio has units of dose & is the dose at which cell killing by the
linear and quadratic dose components are equal
i.e α
D=β
D2
D=α/β
33.
33
Dose Response Relationship
α/βRatio
A high α/β ratio imples a long linear slope
A low α/β ratio indicates a curvier survival
response at low doses
These differences in acute & late effect tissue
α/β ratios & dose response curves significantly
reflects the response of these tissues to
fractionated radiotherapy
35
Inferring the α/βRatio
The parameters of the dose response curve for any
normal tissue system for which functional endpoint can
be observed may be inferred by performing a
multifractional experiment
For example, an experiment in which skin reaction is
scored
- assumptions: linear quadratic model applies
- each dose produces the same biological effect
- full repair of SLD occurs btw dose fractions
- no cell proliferation occurs btw fractions
36.
36
Linear-Quadratic Model
L-Qapproach is a biological model of radiation action
which was first proposed over 60 yrs ago
Based on a mechanistic analysis of chromosomal-
aberration induction
Distinction between linear & quadratic components in
terms of their dependence on dose fractionation
Proposed basic lesion responsible for radiation-induced
cell death is the dicentric exchange-type chromosomal
aberration
38
Linear-Quadratic Model –
mechanisticbasis
If a single track of radiation causes DNA damage to 2
chromosomal sites which then misrepair to form an
exchange-type chromosomal aberration, the aberration
yield will be linear with dose & independent of dose
protraction
If 2 independent tracks of radiation produce 2 DNA
damage sites which subsequently interact to form an
aberration, then the yield ( and log survival) will vary as
dose squared, & will depend on fractionation – because
the first damage site may have time for repair before the
2nd
is formed
39.
39
BIOLOGICALLY EFFECTIVE DOSE(BED)
Biological effectiveness observed after
administration of a certain absorbed dose depends
on the time-dose-fractionation pattern used to
deliver it
BED is commonly used for isoeffective calculation
BED is a measure of the true biological dose
delivered by a particular combination of dose per
fraction & total dose to a particular tissue
characterized by a specific α/β ratio
α/β ratio is the dose response relationship ratio
40.
40
BIOLOGICALLY EFFECTIVE DOSE(BED)
In general, α/β is larger (about 10 Gy) for acute effect than for
late effects (about 2 Gy)
Α represents the linear (i.e 1st
order dose dependent)
component of cell killing – single hit
Β represents the quadratic ( i.e 2nd
order dose dependent)
component of cell killing – repairable component of cell killing
α/β ratio has units of dose & is the dose at which cell killing by
the linear and quadratic dose components are equal
i.e α
D=β
D2
D=α/β
41.
41
BIOLOGICALLY EFFECTIVE DOSE(BED)
A method has been proposed for using the α/β ratio for calculating
the change in tumour dose necessary to achieve an equal response
in tissue when the dose per fraction is varied
Note: this calculation amounts only for the effect of repair of
sublethal injury (under normal conditions can be repaired in hours
unless additional sublethal damage is attained)
BED = nd[1+d/ (α/β)]
where d = dose per fraction (Gy), n = number of fraction
BED = total dose x relative effectiveness ( has unit of dose)
If total dose (nd or D) is kept constant, the BED will increase if dose
per fraction is increased
42.
42
BIOLOGICALLY EFFECTIVE DOSE(BED)
So we can compute a biological effective dose for α/β ratio for
both early and late effects a given fractionation regime
For a specific tissue, if the calculated BED is higher for one treatment
regime than another then the fractionation regime is more effective
BED is a useful term when comparing dose/fractionation patterns
for a specific tissue of interest
Note: there is a relatively wide range of α/β due to the natural
variation of α and β in human populations
Note: the use of smaller α/β ratios result in larger BED values for a
given dose/fractionation pattern
43.
43
BED FOR TUMOURCALCULATION
The numerical range of α/β ratios is wider in tumours & data are lacking for many
specific tumour types
A repopulation correction factor should be included in the case of tumours that
contain rapidly proliferating clonogenes, for which there are several possible
patterns of repopulation to consider
Vary from accepted values of 10-30Gy for squamous cell cancers to much lower
values of 4-5Gy in breast cancer
Slower growing tumours, such as prostate, appear to have very small ratios (0.8-
2.5Gy)
For many tumour types there are no established generic values
In general, for tumour that have high ratio values, the total dose and the fraction size
together determine the outcome
It may be prudent to perform multiple BED calculations in order to achieve some
general conclusion about which fraction policy to chose.
44.
44
TUMOUR KINETICS
Tpot- Potentialtumour doubling time
Tpot is a measure of the rate of increase of cells capable of
continued proliferation & determines the outcome of a
radiotherapy treatment protocol & is the time during which the
tumour would be expected to double based on the cell cycle time
& the growth fraction
Tumours with a short Tpot may repopulate if fractionation is
extended over too long a period
Tpot can be estimated experimentally from studies on biopsy cell
samples. This provides an average Tpot. Tpot may have a value of 2
to 25 days with a median of about 5 days
A mathematical correction may be applied to the linear quadratic
equation to allow for tumour proliferation
45.
45
BED for tumourproliferation
correction factor
The BED received by a uniformly irradiated tissue which is
concurrently repopulating is calculated as:
BED = nd[1+d/ (α/β)] – K (T-Tdelay)
Where T = overall treatment time,
Tdelay = the time lag (from the beginning of treatment) before tumour
repopulation begins to occur and is tumour specific
K, in units of Gy per day, is the daily BED equivalent of repopulation
and is tumour specific
46.
46
BED CALCULATIONS
Thefollowing data is for questions 1 and 2.
Squamous cell
H&N Cancer
Acute
responding
normal
tissue
Late
Responding
Normal
tissue
10Gy 10Gy 3Gy
Tdelay 28 days N/A N/A
K 0.9Gy/day
(after Tdelay)
0.1Gy/day (up
to Tdelay)
N/A N/A
47.
47
BED CALCULATIONS
Regime A60Gy total
dose
25
fractions
32 days
overall
Regime B 65Gy total
dose
30
fractions
39 days
overall
Regime C 55Gy total
dose
25
fractions
25 days
overall
48.
48
BED CALCULATIONS
1.Assume the patient starts treatment on a Monday and is treated
Monday to Friday each week.
a) For treatment regime A, calculate the intended BED for this
Tumour and for the Acute and Late responding normal tissues.
b) For treatment regime B, calculate the intended BED for this
Tumour and for the Acute and Late responding normal tissues.
c) Compare the two regimes in terms of biological effectiveness for
tumour control, acute and late normal tissue damage. Discuss
which regime would be the regime of choice based on the BED
calculations and taking into account tumour, acute and late
responding normal tissues.
49.
49
BED CALCULATIONS
2.Assume the patient starts treatment on a Monday and is treated
Monday to Friday each week.
a) For Head and Neck 3DCRT Regime C is used. Calculate the intended
BED for this Tumour and for the Acute and Late responding normal tissues.
b) For Head and Neck Cancer VMAT Regime B is used. Calculate the
intended BED for this Tumour and for the Acute and Late responding
normal tissues.
c) Compare the two regimes in terms of biological effectiveness for
tumour control, acute and late normal tissue damage, stating which
regime would be the regime of choice based on the BED calculations.
d) Are there any other factors, from a non-radiobiological perspective,
that could influence the decision on which regime to choose?