ICARO Advances in Radiation Oncology Vienna, April 2009 Biological - - PowerPoint PPT Presentation

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ICARO Advances in Radiation Oncology Vienna, April 2009 Biological - - PowerPoint PPT Presentation

International Conference on ICARO Advances in Radiation Oncology Vienna, April 2009 Biological [i.e. non-technical] approach to [understand and] reduce late radiation toxicities Jens Overgaard Department of Experimental Clinical Oncology,


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Biological [i.e. non-technical] approach to [understand and] reduce late radiation toxicities

International Conference on Advances in Radiation Oncology Vienna, April 2009 Jens Overgaard

Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark

jens@oncology.dk – www.oncology.dk

ICARO

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SLIDE 2

A story

from the early days of high voltage irradiation when a new technology was just introduced – and used with excitement.

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SLIDE 3

Secondary cancer Pancreas 7 Colon 4 Bladder 2 Basal cell 2 Unknown primary 2 Kidney 1 Sarcoma 1

1 9 6 6 1 9 6 6

Radiotherapy of testicular cancer

94 pts. treated 1964-71

  • 7 patients with late
  • curring severe

neurological symptoms (latency 10-20 years)

  • 19 pts. with secondary

cancer in the irradiated fields

Co-60 Ant.-post. fields treated on alternating days.

Knap et al. Acta Oncol 2007

A few ”other problems”

Arteriosclerosis 9 pt. all diagnosed < 60 years Gastrointestinal: 4 necrosis of small intestine (3 dead) 4 gastric ulcer 3 surgery for ileus/stenosis 2 severe malabsorbtion Kidney: 2 nephrectomy due to radiation induced nephritis 1 dead of malignant hypertention

A r

  • u

n d 6 %

  • f

t h e p a t i e n t s d e v e l

  • p

e d d e l e t e r i

  • u

s l a t e e f f e c t s ( 1 9 % f a t a l ) – a n d n

  • n

e w e r e d e t e c t e d b y r

  • u

t i n e f

  • l

l

  • w

u p

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SLIDE 4

6% 6% 40% 40% 8% 8% 32% 32% 13% 13% 1% 1%

Estimated global cancer burden 2008

12.5 mio new cases – 7.6 mio deaths – 28 mio living with cancer

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SLIDE 5

Estimated Global Cancer Burden

(Numbers of new cases of cancer per annum)

5,000,000 10,000,000 15,000,000 20,000,000 25,000,000 30,000,000 1975 1985 2000 2008 2020 2030

More and older people

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SLIDE 6

What do we have?

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SLIDE 7

What do we have?

More new cancer patients than ever before. More patients treated with radiotherapy – and cured.

More patients at risk for late effects.

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SLIDE 8
  • and what do

we need?

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SLIDE 9
  • and what do

we need?

Identify and measure the extend and nature of the problem. Describe the relationship to

  • ur practice and means of

avoidance and/or modification. Investigate into the underlying biology and look for targets for avoidance.

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SLIDE 10

RECORDING OF MORBIDITY

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SLIDE 11

JO-99/7

SOMA - LENT CONSORT STATEMENT

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DEVELOPMENT IN RECORDING OF MORBIDITY

Established system Own graded system Sporadic None

0% 20% 40% 60% 80%

1985 1988 1998 2008

Reporting clinical results of radiotherapy

1985-88: Data from IJRO and Radiother. Oncol. (Dische at al.) 1998, 2008: Data from Radiotherapy & Oncology

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If morbidity is so important, how come we ignore to record it?

  • we only care about

morbidity in clinical trials

  • or when it’s too late, and

we have to explain why things when wrong

  • and/or when we need

arguments for getting new fancy technology

Morbidity and its recording

  • but we do not record it

routinely

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SLIDE 14

By far most of the press and public awareness about radiotherapy is related to side effects and treatment related complications

(Nobody cares that it’s because more pts. are long-time survivors)

Our ”Interaction” with the public

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SLIDE 15

The (curative) response to radiotherapy depends on dose

  • so does the morbidity

in the critical surrounding normal tissues.

Dose-Response in RADIOTHERAPY

30 40 50 60 70 80 90

DOSE

0% 20% 40% 60% 80% 100%

PROBABILITY risk of complication tumor control

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The limiting factor in cancer treatment is the "tolerance" of the normal tissue.

JO-97/1

CANCER TREATMENT

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In most situations the amount of side effects is considered a limiting factor (tolerance). However, the magnitude of this tolerance depends

  • n the risk and consequences of treatment failure.

Thus, in smaller tumors with good prognosis less risk is accepted as compared to more advanced cases.

JO-98/9

"TOLERENCE" IS RELATIVE

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"Tolerance dose”

Rubin& Casarett 1970

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"estimate injurious doses for various

  • rgans on the

basis of personal experience..“ Rubin& Casarett 1970

"Tolerance dose"

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The most cited paper in the radiotherapeutic journals:

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Emami et al. IJRO 1991

The most cited paper in radiotherapy

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Emami et al. IJRO 1991

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Emami et al. IJRO 1991

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Dose - volume relationship

Lyman, Burman and others

Radiation dose (Gy) P r

  • b

a b i l i t y

  • f

c

  • m

p l i c a t i

  • n

( % ) 5 % 100% 33% 67% 5%

(partial volume irradiated)

CAN WE TRUST THE MODELS?

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SLIDE 25

Something about MODELS

and the impact on clinical practice (in the past).

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SLIDE 26

NSD ret CRE TDF

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SLIDE 27
  • F. Ellis: Clin. Radiol. 1969

Ellis formula: Total dose = NSD x N 0.22 T 0.11 Ellis formula: Total dose = NSD x N 0.24 T 0.11

Long week-end!

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SLIDE 28
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High dose per fraction increase late radiation damage

ERYTHEMA (ACUTE) FIBROSIS (LATE) 0% 20% 40% 60% 80%

COMPLICATIONS (%)

Overgaard et al. 1987

5 Fx 5 Fx 2 Fx 2 Fx

Dose per fraction

vs acute and late

radiation complications

Postmastectomy radiotherapy - 2 vs 5 Fractions/Week

Postmastectomy radiotherapy - 2 vs 5 Fractions/Week (Ellis’ equavalent)

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High dose per fraction increase late radiation damage

ERYTHEMA (ACUTE) FIBROSIS (LATE) 0% 20% 40% 60% 80%

COMPLICATIONS (%)

Overgaard et al. 1987

5 Fx 5 Fx 2 Fx 2 Fx

50 Gy / 25 fx 42 Gy / 12 fx

Postmastectomy radiotherapy - 2 vs 5 Fractions/Week (Ellis’ equavalent)

Same expected morbidity

(according to NSD model prediction)

Don’t trust the models

(especially if they are extrapolated)

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Most late morbidity is due to large dose per fraction (often due to uncritical application of models)

  • and/or the use of poor radio-

therapy technique.

With such past history, one can be a bit nervous about the late outcome of the current increased use of hypofractionation in curative intended radiotherapy. Do we really know what we are doing – or have we just forgotten the past?

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The road

  • f hypo-

fraction

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Late effects are like footprint on the beach – they become deeper and more pronounced with time.

Herman D Suit

FOLLOW-UP TIME

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SLIDE 34

Children get late, late problems

  • because the live longer
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FACTORS INFLUENCING RADIATION RELATED MORBIDITY

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Factors influencing radiotherapy morbidity

  • Volume and target
  • Interaction with systemic therapy
  • Interaction with surgery
  • Dose and fractionation
  • Treatment technique
  • Others (e.g. comorbidity)
  • Individual radiosensitivity
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SLIDE 37
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SLIDE 38

Important radiation related morbidity

Marie 2001/09

Breast cancer

Arm edema. Impairment of shoulder movement. Brachial plexus damage. Telangiectasia. Breast appearence. Subcutaneous fibrosis. Rib fractures Pneumonitis and lung fibrosis. Ischemic heart disease. Secondary malignancy

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Does the sensitivity for development of e.g. fibrosis correlate with other (late) normal tissue endpoints ? i.e. an assay predictive for one (late responding) tissue/endpoint will be predictive for (all) other (late) endpoints.

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Photon field without bolus ”Scar” photon field with bolus Chest wall electron field

DBCG 77 radiotherapy technique

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Telangiektasia versus fibrosis No correlation

Sensitive Resisaent Sensitive Resistant

Fibrosis - Field II Telangiektasia

  • Field I

Telangiektasia versus telangiektasia Correlation

Bentzen, Overgaard & Overgaard. Eur J Cancer, 1993

Sensitive Resistant Sensitive Resistant

Telangiektasia - Field II Telangiektasia

  • Field I

Intra- and Inter-patient variation in radiation induced late effects

There is no relationship between early and late radiation reactions - and no relationship between different late radiation reactions. If there is a genetic underlying component, it is not clinically expressed in “normal” persons.

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The development of late radiation related side-effects is dependent of:

  • 1. Tissue, organ, endpoint
  • 2. Time to develop damage (latency) and

influence of (external) factors in that period

  • 3. Co-morbidity (tissue dependent)

There is not (necessarily) a correlation between different types of late damage in the same patients.

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SLIDE 43

Factors influencing radiotherapy morbidity

  • Volume and target
  • Interaction with systemic therapy
  • Interaction with surgery
  • Dose and fractionation
  • Treatment technique
  • Others (e.g. comorbidity)
  • Individual radiosensitivity
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SLIDE 44

EBCTCG overview, Lancet 2000

Excess death due to ischemic heart disease

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SLIDE 45

Excess heart disease after 15+ years

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Late cardiac mortality in breast cancer patients – the European magnitude: 4 mio. ”cured” breast cancer patients alive.

  • 2. mio. (at least) has been irradiated.

Excess ”vascular death” (according to EBCTCG): 4% Thus, up to 80.000 patients living in Europe may eventually die from radiation induced late morbidity

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Hooning et al JNCI 2007

no RT RT RT+CT

Risk

  • f

congestive heart failure

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Risk of Lung Cancer

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Factors influencing radiotherapy morbidity

  • Volume and target
  • Interaction with systemic therapy
  • Interaction with surgery
  • Dose and fractionation
  • Treatment technique
  • Others (e.g. comorbidity)
  • Individual radiosensitivity
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SLIDE 50

Factors influencing radiotherapy morbidity

  • Volume and target
  • Interaction with systemic therapy
  • Interaction with surgery
  • Dose and fractionation
  • Treatment technique
  • Others (e.g. comorbidity)
  • Individual radiosensitivity
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SLIDE 51
  • No. of excised axillary nodes

Frequency of arm edema (%) 5 10 15 20 25 30 35 No axillary RT Axillary RT 0 - 3 4 - 9 >10 _

Arm edema vs. Lymph-nodes excised and Radiotherapy

Surgery interacts with radiotherapy

Johansen et al Acta Oncol

RT no RT

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SLIDE 52

Factors influencing radiotherapy morbidity

  • Volume and target
  • Interaction with systemic therapy
  • Interaction with surgery
  • Dose and fractionation
  • Treatment technique
  • Others (e.g. comorbidity)
  • Individual radiosensitivity
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Chemo-radiation is not good for all

  • and treatment

compliance is poor !

Pignon et al. IJRO 2007 Machtay al. JCO 2008

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Chemo-radiation enhance late morbidity

Trotti Lancet Oncol 2007 Bentzen and Trotti JCO 2007 Chemo-RT schedules RT alone schedules

I f t h e b u r d e n

  • f

( a c u t e ) m

  • r

b i d i t y b e c

  • m

e t

  • l

a r g e i t w i l l e s p e c i a l l y h i t t h e w e a k ( e l d e r l y ) p a t i e n t s w i t h c

  • m
  • r

b i d i t y

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SLIDE 55

Factors influencing radiotherapy morbidity

  • Volume and target
  • Interaction with systemic therapy
  • Interaction with surgery
  • Dose and fractionation
  • Treatment technique
  • Others (e.g. comorbidity)
  • Individual radiosensitivity
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SLIDE 56

CAN WE PREDICT AND PREVENT RADIATION RELATED MORBIDITY

  • a hint
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Prediction and Prevention

  • Variations in risk of normal tissue toxicity after

radiotherapy (within normal range)

More sensitive More resistant Using clinical data and m olecular pathology to identify genetic risk factors ( dose m odification) and targets for intervention

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Prediction

  • Extended cohort, qPCR

Sensitive profile Resistant profile

Metallothioneins SODs ECM rem odeling

Alsner et al (2007) Radiother Oncol 83:261–266

Differentially expressed genes in fibroblasts after in vitro irradiation

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SLIDE 59

Radiation dose (Gy)

(equivalent dose of 2 Gy per fraction)

30 40 50 60 70 80 90

Moderate/severe fibrosis (%)

20 40 60 80 100

Radiation dose (Gy)

(equivalent dose of 2 Gy per fraction)

30 40 50 60 70 80 90

Moderate/severe fibrosis (%)

20 40 60 80 100

Resistant profile Sensitive profile

Prediction

Enhancement ratio

1.25 (1.12-1.40)

Alsner et al (2007) Radiother Oncol 83:261–266

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SLIDE 60

Ingenuity pathway analysis

www.ingenuity.com

TNFα

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Molecular pathology

ROS (Reactive Oxygen Species) Cascade of cytokine activity Fibrosis Superoxide dismutases Metallothioneins Ionizing radiation CTGF family e.g. TGFβ1 (SMADs) Others Others Others TGFβ1 Adlican, Lumican, Fibroblast activating protein WISP2 TNFα

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Days 25 50 75 100125150175200225 Severe fibrosis (%) 20 40 60 80 100 Control (N=14) +/‐ buffer or siRNA mismatch P=0.00003 siRNA TNFa (N=11)

#6, day 125 Control #21, day 125 Treated

Intervention (siRNA)

Reduced morbidity

Dose (Gy) 35 40 45 50 55 60 65 70 Response (%) 10 20 30 40 50 60 70 80 90 100

siRNA Control TCD50 (95% CI) Enhancement ratio (95% CI) 0.97 (0.88‐1.08) 57.8 56.2

Same tumor response We can identify a biological target which can be suppressed and in turn selectively prevent development of Radiation Induced Fibrosis

  • thus, we have a proof of concept.
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SLIDE 63

Current status: Radiation induced morbidity are

complex and involve multiple factors related to:

  • Radiotherapy parameters: dose, fractionation,

volume, technique.

  • Other treatment (surgery, chemo and hormone

therapy).

  • Tissue and type of reaction and endpoint.
  • Co-morbidity during and after treatment (e.g.

diabetes).

  • Genetic variations influencing the radiation

response and/or the subsequent pathogenesis related to the side-effect in question.

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SLIDE 64
  • and what do

we need to do?

We have now an understanding

  • f the magnitude of the issue of

late morbidity – and is about to understand the underlaying mechanisms. We need more treatment data (dose and target), biological material and careful long-term clinical recordings. We can only achieve this in a joint collaborative effort (involving patients and professionals)